{
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      "as_of": "2026-10-12",
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      "as_of": "2026-10-12",
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      "stage_limitations": "No named AI-data deployment verified; parent recruiting maturity is deliberately excluded. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it. Some supporting source checks were inherited rather than refreshed in the final audit; this remains a historical scoped assessment.",
      "stale_source_caveat": "Some source checks were inherited and not refreshed in the final audit."
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      "as_of": "2026-10-12",
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      "stage_limitations": "Named case evidence and buyer-facing control documentation not established; later financing and gross/net figures carry source caveats. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it. Some supporting source checks were inherited rather than refreshed in the final audit; this remains a historical scoped assessment.",
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      "as_of": "2026-10-12",
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      "stage_limitations": "Company-wide stage includes enterprise and public-sector business, not a claim about every Outlier project. Prototype award is not proof of every planned deployment; revenue is unaudited. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it. Some supporting source checks were inherited rather than refreshed in the final audit; this remains a historical scoped assessment.",
      "stale_source_caveat": "Some source checks were inherited and not refreshed in the final audit."
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      "as_of": "2026-10-12",
      "company_id": "turing",
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      "stage_limitations": "Frontier-data deployment buyers, comparable financial periods and independently checked operating controls remain unresolved. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it. Some supporting source checks were inherited rather than refreshed in the final audit; this remains a historical scoped assessment.",
      "stale_source_caveat": "Some source checks were inherited and not refreshed in the final audit."
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      "as_of": "2026-10-12",
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      "stage_limitations": "Historical buyer evidence is strong but not a verified current renewal; 24-month dated commercial continuity under exact rubric not assembled. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it."
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      "as_of": "2026-10-12",
      "company_id": "prime_intellect",
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          "level": "2",
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      "stage_limitations": "Repeatability through comparable financial periods or dated renewals not established; adjacent compute/RL infrastructure economics differ from human-data marketplaces."
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      "as_of": "2026-10-12",
      "company_id": "abundant_ai",
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          "rationale": "Concrete RL offer with dated detailed coding-evaluation methodology and held-out verifier design."
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          "level": "U",
          "rationale": "No checked dated paid contract or revenue disclosure."
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      "stage_limitations": "Paid commercial continuity and named deployments unknown; research artifacts are not proof of paying customers."
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      "as_of": "2026-10-12",
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          "rationale": "Named counterparty directly confirms delivered data use; payment terms unknown."
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          "level": "3",
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      "as_of": "2026-10-12",
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          "level": "2",
          "rationale": "Detailed Intuit/Credit Karma case study, without independently checked buyer-hosted transaction evidence."
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          "level": "U",
          "rationale": "One collaboration; paid status and commercial continuity not disclosed."
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      "material_conflict": false,
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      "stage_limitations": "Named supplier-side delivery case; offline results are not production proof, and repeated commercial periods are unknown. Revised audit follow-up: Raise confidence in demonstrated technical delivery because Snowflake independently confirms joint work; do not label all research collaborators paying customers."
    },
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      "as_of": "2026-10-12",
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          "level": "1",
          "rationale": "Named founders and verifiers/evaluation workflow."
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          "rationale": "Released Horizon-SWE methodology and concrete tasks."
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          "level": "U",
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      "material_conflict": false,
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      "stage_limitations": "Concrete dated technical artifact; unnamed customer claims do not establish named commercial delivery."
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      "as_of": "2026-10-12",
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        "C": {
          "claim_ids": [
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          "level": "1",
          "rationale": "Frontier labs and enterprises unnamed."
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        "O": {
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          "level": "1",
          "rationale": "Named team and task/verification workflow; higher controls gate not fully evidenced."
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          "level": "1",
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      "as_of": "2026-10-12",
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        "C": {
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          "level": "3",
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          "level": "2",
          "rationale": "Customer reports describe concrete delivered adversarial evaluation work."
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          "level": "U",
          "rationale": "Paid status and two commercial periods not disclosed."
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      "material_conflict": false,
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      "stage_limitations": "Buyer-side evidence establishes evaluation-service delivery. Payment, repeat commercial engagement and scale remain unknown; no paid-customer inference from benchmark citation. Revised audit follow-up: Distinguish a named commissioned engagement from generic external-testing participation; commercial scale and payment remain undisclosed."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "refresh",
      "gates": {
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          "level": "1",
          "rationale": "Company claims frontier-lab work, unnamed."
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          "level": "1",
          "rationale": "Named owners for fidelity, verifiers, QA and delivery."
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          "rationale": "Detailed environment/harness workflow and public benchmark references."
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        "R": {
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          "level": "U",
          "rationale": "No explicit paid or dated revenue evidence found."
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      "as_of": "2026-10-12",
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          "level": "3",
          "rationale": "Direct OpenAI and Anthropic confirmation of service use, dated 2021/2024."
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          "level": "2",
          "rationale": "Documented data-service workflow and current catalog; historical named uses do not prove current production status."
        },
        "R": {
          "claim_ids": [
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          "level": "1",
          "rationale": "One historical full-year revenue disclosure; service research relationships alone not treated as explicit paid periods."
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      },
      "id": "surge_ai.assessment.ai_data",
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      "stage_limitations": "Historical named delivery strongly corroborated; fresh named paid engagements, comparable annual figures and current scoped operational controls were not established. This is a disclosure minimum.",
      "stale_source_caveat": "Historical named delivery strongly corroborated; fresh named paid engagements, comparable annual figures and current scoped operational controls were not established. This is a disclosure minimum."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "quesma",
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        "C": {
          "claim_ids": [
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          "level": "1",
          "rationale": "Current frontier-lab relationships are unnamed; OpenAI citation is not a customer."
        },
        "O": {
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          "level": "1",
          "rationale": "Named accountable team and implementation workflow; QA acceptance and current independent controls incomplete."
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          "level": "2",
          "rationale": "Detailed current product workflow and public artifacts, but analytics remains on waitlist."
        },
        "R": {
          "claim_ids": [
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          "level": "U",
          "rationale": "No disclosed current AI-line paid project or revenue period."
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      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Current AI analytics/data segment only: waitlist offer and workflow established; prior database customers and IP sale are not transferred to the new line."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "datacurve",
      "gates": {
        "C": {
          "claim_ids": [
            "datacurve.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "Unnamed customers asserted by company/investor."
        },
        "O": {
          "claim_ids": [
            "datacurve.claim.assessment-evidence-o"
          ],
          "level": "1",
          "rationale": "Named team, contributor process and operational roles; detailed acceptance/control documentation not established."
        },
        "P": {
          "claim_ids": [
            "datacurve.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Documented data products, contributor platform workflow and dated operating policy."
        },
        "R": {
          "claim_ids": [
            "datacurve.claim.assessment-evidence-r"
          ],
          "level": "U",
          "rationale": "Undated and potentially stale recruiting run-rate claim has no verified financial period. No dated revenue disclosure, paid project or explicit paying-customer claim established; R1 is not awarded."
        }
      },
      "id": "datacurve.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Current offer/operation visible, but named deployments unavailable; repeatability is unknown. Undated, potentially stale recruiting revenue and valuation claims do not satisfy a dated financial gate. Revised audit follow-up: Existing R unknown rationale says no dated contract evidence exists; that is now factually obsolete. Credit dated investor-reported contracts, while preserving revenue recognition, retention and named-buyer gaps.",
      "stale_source_caveat": "Current offer/operation visible, but named deployments unavailable; repeatability is unknown. Undated, potentially stale recruiting revenue and valuation claims do not satisfy a dated financial gate."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "benchflow",
      "gates": {
        "C": {
          "claim_ids": [
            "benchflow.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "Historical two-enterprise-client claim without names; ecosystem partners are not counted."
        },
        "O": {
          "claim_ids": [
            "benchflow.claim.assessment-evidence-o"
          ],
          "level": "1",
          "rationale": "Named team and benchmark/evaluation process."
        },
        "P": {
          "claim_ids": [
            "benchflow.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Accessible dated research artifact and runnable environment suite."
        },
        "R": {
          "claim_ids": [
            "benchflow.claim.assessment-evidence-r"
          ],
          "level": "U",
          "rationale": "No explicit dated paid transaction/revenue period verified."
        }
      },
      "id": "benchflow.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Public research/runtime exists; current named commercial deployments, paid status and repeatability unknown."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "g2i",
      "gates": {
        "C": {
          "claim_ids": [
            "g2i.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "Anonymous frontier-lab testimonial; named staffing clients excluded from segment."
        },
        "O": {
          "claim_ids": [
            "g2i.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Accountable leadership, versioned rubric/calibration process and documented buyer-facing security controls. SOC 2 assertion was not independently scoped or dated, so not O3."
        },
        "P": {
          "claim_ids": [
            "g2i.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Concrete environments/data offer with detailed construction and delivery workflow; dated February 2024 program launch and currently active specialist intake."
        },
        "R": {
          "claim_ids": [
            "g2i.claim.assessment-evidence-r"
          ],
          "level": "1",
          "rationale": "Paid AI program represented by attributed business/payout descriptions; no comparable AI-segment revenue series or named renewals."
        }
      },
      "id": "g2i.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "AI-data buyer names and segment-specific repeatability are not publicly established. Staffing case studies do not raise the AI-data customer gate."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "g2i",
      "gates": {
        "C": {
          "claim_ids": [
            "g2i.claim.company_wide_assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Named Shopmonkey deployment with attributed customer testimony."
        },
        "O": {
          "claim_ids": [
            "g2i.claim.company_wide_assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Documented staffing screening/logistics and AI security/QA processes."
        },
        "P": {
          "claim_ids": [
            "g2i.claim.company_wide_assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Detailed production staffing case."
        },
        "R": {
          "claim_ids": [
            "g2i.claim.company_wide_assessment-evidence-r"
          ],
          "level": "2",
          "rationale": "Shopmonkey expanded use and converted contractors to permanent hires."
        }
      },
      "id": "g2i.assessment.company",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "company",
      "stage_limitations": "Supplier-authored named staffing delivery/expansion supports broader maturity; buyer-side corroboration and 24-month commercial-continuity proof were not established."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "a-team",
      "gates": {
        "C": {
          "claim_ids": [
            "a-team.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "Anonymous specific RL customer examples only."
        },
        "O": {
          "claim_ids": [
            "a-team.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Accountable embedded leads, verifier/QA responsibilities and buyer-facing security/IP/procurement documentation."
        },
        "P": {
          "claim_ids": [
            "a-team.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Detailed environments, graders and rollout delivery workflow."
        },
        "R": {
          "claim_ids": [
            "a-team.claim.assessment-evidence-r"
          ],
          "level": "2",
          "rationale": "Supplier describes one-builder pilot expanding to 26 people; distinct from revenue."
        }
      },
      "id": "a-team.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Anonymous RL engagement expansion supports R2, but no named RL buyer case establishes C2. General enterprise product-engineering cases stay separate."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "a-team",
      "gates": {
        "C": {
          "claim_ids": [
            "a-team.claim.company_wide_assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Named Blank Street production case with founder attribution."
        },
        "O": {
          "claim_ids": [
            "a-team.claim.company_wide_assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Named delivery leads, specific QA responsibilities and security/IP/procurement documentation."
        },
        "P": {
          "claim_ids": [
            "a-team.claim.company_wide_assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Detailed production Blank Street system and current service delivery documentation."
        },
        "R": {
          "claim_ids": [
            "a-team.claim.company_wide_assessment-evidence-r"
          ],
          "level": "3",
          "rationale": "Blank Street three-year collaboration and expansion, plus named Apprentice, Chief, D-ID, EY and Accrue buyer cases; relationship also documented in 2022 founder account."
        }
      },
      "id": "a-team.assessment.company",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "company",
      "stage_limitations": "Named supplier case and three-year relationship support continuity, but no buyer-side C3 verification; no current revenue scale inferred."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "hackerrank",
      "gates": {
        "C": {
          "claim_ids": [
            "hackerrank.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "Unnamed frontier/model-lab relationships; parent customer counts excluded."
        },
        "O": {
          "claim_ids": [
            "hackerrank.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Parent accountable founders and program-specific qualification, verifier calibration, reproducibility and acceptance workflow."
        },
        "P": {
          "claim_ids": [
            "hackerrank.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Detailed RL environment/verifier workflow and accessible private-benchmark methodology."
        },
        "R": {
          "claim_ids": [
            "hackerrank.claim.assessment-evidence-r"
          ],
          "level": "U",
          "rationale": "No program-specific dated paid delivery or revenue verified."
        }
      },
      "id": "hackerrank.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Parent funding, ARR growth and recruiting buyers do not establish Astra paid contracts or repeatability."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "pareto",
      "gates": {
        "C": {
          "claim_ids": [
            "pareto.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "An April 4, 2026 supplier employer posting named Anthropic and Google DeepMind. No detailed named delivery case or current-period customer confirmation verified."
        },
        "O": {
          "claim_ids": [
            "pareto.claim.assessment-evidence-o"
          ],
          "level": "1",
          "rationale": "Named founder and documented expert intake/matching/support process; buyer-facing acceptance/security evidence insufficient for O2."
        },
        "P": {
          "claim_ids": [
            "pareto.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Dated LEAPBench/AttuneBench technical artifacts with public research routes, plus official expert intake observed on October 12, 2026."
        },
        "R": {
          "claim_ids": [
            "pareto.claim.assessment-evidence-r"
          ],
          "level": "1",
          "rationale": "The April 4, 2026 employer posting described production client accounts, renewal/expansion responsibilities and data-pipeline services. Treated as a dated April supplier paying-account claim, not current production verification, measured growth or evidence of a completed renewal."
        }
      },
      "id": "pareto.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Research artifacts establish P2. Named labs occur in an April 4, 2026 employer claim, over six months old at review, not detailed customer-side or supplier case studies. Current customer/production status is unconfirmed; renewals are job responsibilities, not proven renewal events."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "ooak",
      "gates": {
        "C": {
          "claim_ids": [
            "ooak.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "Multiple unnamed frontier labs claimed."
        },
        "O": {
          "claim_ids": [
            "ooak.claim.assessment-evidence-o"
          ],
          "level": "1",
          "rationale": "Named founders and delivery workflow. Quality role says acceptance criteria/checklists largely need building; privacy commitments alone do not establish O2."
        },
        "P": {
          "claim_ids": [
            "ooak.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Concrete ingestion, anonymization, digital-twin and task generation workflow; current YC company launch and live hiring."
        },
        "R": {
          "claim_ids": [
            "ooak.claim.assessment-evidence-r"
          ],
          "level": "1",
          "rationale": "Founder revenue disclosure and employer signed-contract claim; no comparable periods or proven renewals."
        }
      },
      "id": "ooak.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Founder-reported revenue and signed contracts support commercial activity, but buyer identities, repeatability and mature QA controls remain unverified."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "elorian",
      "gates": {
        "C": {
          "claim_ids": [
            "elorian.claim.assessment-evidence-c"
          ],
          "level": "U",
          "rationale": "No verified paying customers."
        },
        "O": {
          "claim_ids": [
            "elorian.claim.assessment-evidence-o"
          ],
          "level": "1",
          "rationale": "Named research leadership and described model-safety evaluation/data process, but no buyer-facing operating system verified."
        },
        "P": {
          "claim_ids": [
            "elorian.claim.assessment-evidence-p"
          ],
          "level": "U",
          "rationale": "Models page says first model still forthcoming. No currently accessible model or commercial delivered offer verified."
        },
        "R": {
          "claim_ids": [
            "elorian.claim.assessment-evidence-r"
          ],
          "level": "U",
          "rationale": "No verified revenue or paid delivery."
        }
      },
      "id": "elorian.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Pre-public-model research lab: public waitlist/roadmap and funded staffing do not verify an available commercial product, paying customers or production deployment."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "terac",
      "gates": {
        "C": {
          "claim_ids": [
            "terac.claim.assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Detailed named Dialogue deployment; attributed Maze/Spade/Vetto testimonials corroborate supplier account only."
        },
        "O": {
          "claim_ids": [
            "terac.claim.assessment-evidence-o"
          ],
          "level": "1",
          "rationale": "Named accountable founders, screening/verification and payout process. Inconsistent headcount does not erase team identity, but current operational controls lack independent scope."
        },
        "P": {
          "claim_ids": [
            "terac.claim.assessment-evidence-p"
          ],
          "level": "2",
          "rationale": "Concrete expert-recruitment, screening and delivery workflow, dated 2026 API/program activity."
        },
        "R": {
          "claim_ids": [
            "terac.claim.assessment-evidence-r"
          ],
          "level": "1",
          "rationale": "Dated completed Dialogue delivery and explicit expert payouts. No R2-qualified time series or renewal."
        }
      },
      "id": "terac.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "A dated named research delivery supports demonstrated delivery. Current evidence does not establish renewal/expansion or two dated commercial deliveries six months apart; specific buyer-facing QA/security documentation was not fully reviewed."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "invisible",
      "gates": {
        "C": {
          "claim_ids": [
            "invisible.claim.assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Researcher-assigned C2; Named production case and current offer verified; this review did not establish two comparable revenue periods or dated renewal/expansion needed for R2. This conservative disclosure stage does not imply an early-stage business."
        },
        "O": {
          "claim_ids": [
            "invisible.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Researcher-assigned O2; Named production case and current offer verified; this review did not establish two comparable revenue periods or dated renewal/expansion needed for R2. This conservative disclosure stage does not imply an early-stage business."
        },
        "P": {
          "claim_ids": [
            "invisible.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Named production case and current offer verified; this review did not establish two comparable revenue periods or dated renewal/expansion needed for R2. This conservative disclosure stage does not imply an early-stage business."
        },
        "R": {
          "claim_ids": [
            "invisible.claim.assessment-evidence-r"
          ],
          "level": "1",
          "rationale": "Researcher-assigned R1; Named production case and current offer verified; this review did not establish two comparable revenue periods or dated renewal/expansion needed for R2. This conservative disclosure stage does not imply an early-stage business."
        }
      },
      "id": "invisible.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Named production case and current offer verified; this review did not establish two comparable revenue periods or dated renewal/expansion needed for R2. This conservative disclosure stage does not imply an early-stage business. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "toloka",
      "gates": {
        "C": {
          "claim_ids": [
            "toloka.claim.assessment-evidence-c"
          ],
          "level": "3",
          "rationale": "Researcher-assigned C3; Buyer-confirmed production work and investor-reported renewals establish repeatability; reviewed evidence does not establish R3’s 24-month named-buyer continuity or two annual financial statements."
        },
        "O": {
          "claim_ids": [
            "toloka.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Researcher-assigned O2; Buyer-confirmed production work and investor-reported renewals establish repeatability; reviewed evidence does not establish R3’s 24-month named-buyer continuity or two annual financial statements."
        },
        "P": {
          "claim_ids": [
            "toloka.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Buyer-confirmed production work and investor-reported renewals establish repeatability; reviewed evidence does not establish R3’s 24-month named-buyer continuity or two annual financial statements."
        },
        "R": {
          "claim_ids": [
            "toloka.claim.assessment-evidence-r"
          ],
          "level": "2",
          "rationale": "Researcher-assigned R2; Buyer-confirmed production work and investor-reported renewals establish repeatability; reviewed evidence does not establish R3’s 24-month named-buyer continuity or two annual financial statements."
        }
      },
      "id": "toloka.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Buyer-confirmed production work and investor-reported renewals establish repeatability; reviewed evidence does not establish R3’s 24-month named-buyer continuity or two annual financial statements. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "prolific",
      "gates": {
        "C": {
          "claim_ids": [
            "prolific.claim.assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Researcher-assigned C2; Named dated commercial adoption in 2023 and detailed Ai2 delivery in 2025 establish continuity. No buyer-hosted transaction confirmation or comparable annual financial statements reviewed, so not C3/R3."
        },
        "O": {
          "claim_ids": [
            "prolific.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Researcher-assigned O2; Named dated commercial adoption in 2023 and detailed Ai2 delivery in 2025 establish continuity. No buyer-hosted transaction confirmation or comparable annual financial statements reviewed, so not C3/R3."
        },
        "P": {
          "claim_ids": [
            "prolific.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Named dated commercial adoption in 2023 and detailed Ai2 delivery in 2025 establish continuity. No buyer-hosted transaction confirmation or comparable annual financial statements reviewed, so not C3/R3."
        },
        "R": {
          "claim_ids": [
            "prolific.claim.assessment-evidence-r"
          ],
          "level": "2",
          "rationale": "Researcher-assigned R2; Named dated commercial adoption in 2023 and detailed Ai2 delivery in 2025 establish continuity. No buyer-hosted transaction confirmation or comparable annual financial statements reviewed, so not C3/R3."
        }
      },
      "id": "prolific.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Named dated commercial adoption in 2023 and detailed Ai2 delivery in 2025 establish continuity. No buyer-hosted transaction confirmation or comparable annual financial statements reviewed, so not C3/R3."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "appen",
      "gates": {
        "C": {
          "claim_ids": [
            "appen.claim.assessment-evidence-c"
          ],
          "level": "3",
          "rationale": "Researcher-assigned C3; Company-wide rating: audited multi-year revenue and documented historical Google business. Current frontier-AI customers remain largely unnamed; this does not imply the newer expert-data segment independently meets every gate."
        },
        "O": {
          "claim_ids": [
            "appen.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Researcher-assigned O2; Company-wide rating: audited multi-year revenue and documented historical Google business. Current frontier-AI customers remain largely unnamed; this does not imply the newer expert-data segment independently meets every gate."
        },
        "P": {
          "claim_ids": [
            "appen.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Company-wide rating: audited multi-year revenue and documented historical Google business. Current frontier-AI customers remain largely unnamed; this does not imply the newer expert-data segment independently meets every gate."
        },
        "R": {
          "claim_ids": [
            "appen.claim.assessment-evidence-r"
          ],
          "level": "3",
          "rationale": "Researcher-assigned R3; Company-wide rating: audited multi-year revenue and documented historical Google business. Current frontier-AI customers remain largely unnamed; this does not imply the newer expert-data segment independently meets every gate."
        }
      },
      "id": "appen.assessment.company",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "company",
      "stage_limitations": "Company-wide rating: audited multi-year revenue and documented historical Google business. Current frontier-AI customers remain largely unnamed; this does not imply the newer expert-data segment independently meets every gate. Gate assessment retained from the original reviewed snapshot; the revised narrative and new metrics do not automatically upgrade it."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "giskard",
      "gates": {
        "C": {
          "claim_ids": [
            "giskard.claim.assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Researcher-assigned C2; Named production testimony and current technical documentation are strong; payment/renewal amounts and dated commercial continuity needed for R2 remain unverified."
        },
        "O": {
          "claim_ids": [
            "giskard.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Researcher-assigned O2; Named production testimony and current technical documentation are strong; payment/renewal amounts and dated commercial continuity needed for R2 remain unverified."
        },
        "P": {
          "claim_ids": [
            "giskard.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Named production testimony and current technical documentation are strong; payment/renewal amounts and dated commercial continuity needed for R2 remain unverified."
        },
        "R": {
          "claim_ids": [
            "giskard.claim.assessment-evidence-r"
          ],
          "level": "U",
          "rationale": "Researcher-assigned RU; Named production testimony and current technical documentation are strong; payment/renewal amounts and dated commercial continuity needed for R2 remain unverified."
        }
      },
      "id": "giskard.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Named production testimony and current technical documentation are strong; payment/renewal amounts and dated commercial continuity needed for R2 remain unverified."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "alinia",
      "gates": {
        "C": {
          "claim_ids": [
            "alinia.claim.assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Researcher-assigned C2; Named customer testimony plus continuing model releases and documented validation workflow; no dated paid/repeat-contract evidence sufficient to score R2."
        },
        "O": {
          "claim_ids": [
            "alinia.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Researcher-assigned O2; Named customer testimony plus continuing model releases and documented validation workflow; no dated paid/repeat-contract evidence sufficient to score R2."
        },
        "P": {
          "claim_ids": [
            "alinia.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Named customer testimony plus continuing model releases and documented validation workflow; no dated paid/repeat-contract evidence sufficient to score R2."
        },
        "R": {
          "claim_ids": [
            "alinia.claim.assessment-evidence-r"
          ],
          "level": "U",
          "rationale": "Researcher-assigned RU; Named customer testimony plus continuing model releases and documented validation workflow; no dated paid/repeat-contract evidence sufficient to score R2."
        }
      },
      "id": "alinia.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Named customer testimony plus continuing model releases and documented validation workflow; no dated paid/repeat-contract evidence sufficient to score R2."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "apto",
      "gates": {
        "C": {
          "claim_ids": [
            "apto.claim.assessment-evidence-c"
          ],
          "level": "2",
          "rationale": "Researcher-assigned C2; Named paid outsourcing case and current expert workflow; reviewed evidence lacks dated renewal/comparable revenues and sufficiently specific buyer-facing security/operating documents for higher gates."
        },
        "O": {
          "claim_ids": [
            "apto.claim.assessment-evidence-o"
          ],
          "level": "1",
          "rationale": "Researcher-assigned O1; Named paid outsourcing case and current expert workflow; reviewed evidence lacks dated renewal/comparable revenues and sufficiently specific buyer-facing security/operating documents for higher gates."
        },
        "P": {
          "claim_ids": [
            "apto.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Named paid outsourcing case and current expert workflow; reviewed evidence lacks dated renewal/comparable revenues and sufficiently specific buyer-facing security/operating documents for higher gates."
        },
        "R": {
          "claim_ids": [
            "apto.claim.assessment-evidence-r"
          ],
          "level": "1",
          "rationale": "Researcher-assigned R1; Named paid outsourcing case and current expert workflow; reviewed evidence lacks dated renewal/comparable revenues and sufficiently specific buyer-facing security/operating documents for higher gates."
        }
      },
      "id": "apto.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Named paid outsourcing case and current expert workflow; reviewed evidence lacks dated renewal/comparable revenues and sufficiently specific buyer-facing security/operating documents for higher gates."
    },
    {
      "as_of": "2026-10-12",
      "company_id": "rws_trainai",
      "gates": {
        "C": {
          "claim_ids": [
            "rws_trainai.claim.assessment-evidence-c"
          ],
          "level": "1",
          "rationale": "Researcher-assigned C1; Strict TrainAI-specific gate: detailed anonymous production cases and filing-confirmed repeat business, but no named buyer reviewed, so C1 prevents a higher stage. Parent RWS financial maturity must not be transferred automatically to this line."
        },
        "O": {
          "claim_ids": [
            "rws_trainai.claim.assessment-evidence-o"
          ],
          "level": "2",
          "rationale": "Researcher-assigned O2; Strict TrainAI-specific gate: detailed anonymous production cases and filing-confirmed repeat business, but no named buyer reviewed, so C1 prevents a higher stage. Parent RWS financial maturity must not be transferred automatically to this line."
        },
        "P": {
          "claim_ids": [
            "rws_trainai.claim.assessment-evidence-p"
          ],
          "level": "3",
          "rationale": "Researcher-assigned P3; Strict TrainAI-specific gate: detailed anonymous production cases and filing-confirmed repeat business, but no named buyer reviewed, so C1 prevents a higher stage. Parent RWS financial maturity must not be transferred automatically to this line."
        },
        "R": {
          "claim_ids": [
            "rws_trainai.claim.assessment-evidence-r"
          ],
          "level": "2",
          "rationale": "Researcher-assigned R2; Strict TrainAI-specific gate: detailed anonymous production cases and filing-confirmed repeat business, but no named buyer reviewed, so C1 prevents a higher stage. Parent RWS financial maturity must not be transferred automatically to this line."
        }
      },
      "id": "rws_trainai.assessment.ai_data",
      "material_conflict": false,
      "reviewer": "Public research batch integrated final v1",
      "rubric_version": "1.0.0",
      "segment_scope": "ai_data",
      "stage_limitations": "Strict TrainAI-specific gate: detailed anonymous production cases and filing-confirmed repeat business, but no named buyer reviewed, so C1 prevents a higher stage. Parent RWS financial maturity must not be transferred automatically to this line."
    },
    {
      "as_of": "2026-10-12",
      "business_headline": "Scaled AI-services division; named-buyer attribution limited",
      "business_verdict": "A scaled, revenue-generating AI-services operation: audited financial-statement notes disclose $214.218m FY2025 AI Services revenue versus $135.107m FY2024. Its disclosure-based gate result is constrained by unnamed AI buyers and must not be presented as an early-stage business classification.",
      "company_id": "taskus",
      "formal_stage_details_only": true,
      "gates": {
        "C": {
          "claim_ids": [
            "taskus.claim.final-gate-c"
          ],
          "level": "1",
          "rationale": "AI clients are described through anonymous aggregates and contract categories. Higher-level limit: Meta is a filed company-wide customer, but its disclosed revenue is not allocated to this service line; it cannot upgrade AI Services C2/C3. Source locator: Q2 slides 6 and 14."
        },
        "O": {
          "claim_ids": [
            "taskus.claim.final-gate-o"
          ],
          "level": "1",
          "rationale": "Named accountable leadership and a documented AI-services delivery process meet O1. Shared operating/security documentation is visible, but the reviewed material does not give a sufficiently specific AI-data QA/acceptance procedure to assert all of O2. Higher-level limit: O2 remains unestablished under a strict reading: benchmark/QA marketing and general company controls do not expose a concrete acceptance/review procedure for AI-data delivery. O3 also unsupported; no independent current-scope reports inspected. This is a disclosure limitation, not a finding that operational controls are absent. Source locator: 10-K printed pp3, 5 and 43; service-page Model testing & QA."
        },
        "P": {
          "claim_ids": [
            "taskus.claim.final-gate-p"
          ],
          "level": "2",
          "rationale": "Current AI data workflow and dated AI-services activity are documented. Higher-level limit: Named, deployment-level AI Services case evidence meeting P3 was not assembled. Source locator: Q2 slides 6 and 11."
        },
        "R": {
          "claim_ids": [
            "taskus.claim.final-gate-r"
          ],
          "level": "3",
          "rationale": "The financial-statement alternative to R3 is directly met by comparable annual AI Services revenue in audited notes. Higher-level limit: This establishes service-line commercial continuity, not recurring-revenue retention, a named frontier-client roster or future growth. Source locator: Note 4, printed p75 / PDF p81."
        }
      },
      "headline_metric_id": "taskus.metric.expansion-2",
      "id": "taskus.assessment.ai_data",
      "material_conflict": false,
      "raw_path": "data/raw/reviews/expansion-formal-gate-assessments.json",
      "raw_pointer": "/assessments/0",
      "reviewer": "Public-source gate reassessment, 2026-10-12",
      "rubric_version": "1.0.0",
      "scope_exclusions": [
        "Whole-company Meta relationship does not establish which AI Services deployments Meta purchased.",
        "Whole-company revenue, customers and headcount are not AI Services metrics.",
        "AI Services is broader than frontier-model human post-training."
      ],
      "scope_label": "TaskUs AI Services reported service line, including annotation, LLM support, autonomous vehicles and robotics",
      "segment_scope": "ai_data",
      "stage_limitations": "C1 blocks demonstrated/repeatable/established rubric stages despite strong financial scale; O2 is also not established by the inspected detail. Low disclosure is not low business scale.",
      "stage_use": "Details-only disclosure minimum; never primary market-overview classification"
    },
    {
      "as_of": "2026-10-12",
      "business_headline": "Mature production-data specialist, now an EXL business",
      "business_verdict": "Buyer-confirmed production work and a documented account expansion support repeatable delivery. Its preliminary unaudited standalone revenue was approximately $59m for the twelve months ended March 31, 2026; GenAI-only revenue and named frontier clients remain undisclosed.",
      "company_id": "imerit",
      "formal_stage_details_only": false,
      "gates": {
        "C": {
          "claim_ids": [
            "imerit.claim.final-gate-c"
          ],
          "level": "3",
          "rationale": "Carbon Robotics independently names iMerit and its production data use. Higher-level limit: No buyer contract amount, exact current term or named foundation-model purchaser established."
        },
        "O": {
          "claim_ids": [
            "imerit.claim.final-gate-o"
          ],
          "level": "2",
          "rationale": "Accountable leadership and detailed buyer-facing QA/operational controls are documented. Higher-level limit: O3 not asserted: no independent current-scope control report or independently validated annotation-performance audit inspected. Source locator: Ango: Improve Annotation Quality; Review Workflows; User Roles and Permissions."
        },
        "P": {
          "claim_ids": [
            "imerit.claim.final-gate-p"
          ],
          "level": "3",
          "rationale": "Public product workflows, a named production use case and continuing dated releases meet P3. Higher-level limit: Does not identify which frontier labs use the newer reasoning/Scholars products."
        },
        "R": {
          "claim_ids": [
            "imerit.claim.final-gate-r"
          ],
          "level": "2",
          "rationale": "The Carbon Robotics case supplies a concrete customer expansion. Higher-level limit: R3 not met by reviewed evidence: no two annual financial statements and no adequately evidenced three-buyer/24-month continuity set. One preliminary trailing revenue figure and logo lists do not suffice."
        }
      },
      "id": "imerit.assessment.company",
      "material_conflict": false,
      "raw_path": "data/raw/reviews/expansion-formal-gate-assessments.json",
      "raw_pointer": "/assessments/1",
      "reviewer": "Public-source gate reassessment, 2026-10-12",
      "rubric_version": "1.0.0",
      "scope_exclusions": [
        "EXL consolidated revenue and enterprise-services maturity excluded.",
        "Named computer-vision buyer proof does not establish a named frontier-model customer."
      ],
      "scope_label": "iMerit standalone/acquired AI-data services business, including computer vision and expert-data work",
      "segment_scope": "company",
      "stage_limitations": "R3 remains unsupported; EXL parent financial statements are excluded.",
      "stage_use": "Disclosure-based assessment of iMerit business; not a GenAI-only revenue or frontier-lab scale label"
    },
    {
      "as_of": "2026-10-12",
      "business_headline": "Mature enterprise data provider; current frontier exposure unverified",
      "business_verdict": "Named production deliveries and several years of commercial work support an established broad data-services business. Current named frontier-model exposure is not established; OpenAI work ended in 2022 and the reviewed Meta relationship ended in April 2026.",
      "company_id": "sama",
      "formal_stage_details_only": false,
      "gates": {
        "C": {
          "claim_ids": [
            "sama.claim.final-gate-c"
          ],
          "corroboration_basis": "reported_buyer_statement",
          "level": "3",
          "rationale": "Historical named work is corroborated through attributable buyer statements, not simply supplier logos. Higher-level limit: C3 is limited to the corroborated historical relationship; original source confidence C is retained and does not become audited evidence. No current OpenAI/Meta customer status inferred."
        },
        "O": {
          "claim_ids": [
            "sama.claim.final-gate-o"
          ],
          "level": "2",
          "rationale": "Named accountable leadership and specific buyer-facing delivery, QA and security descriptions meet O2. Higher-level limit: O3 not asserted: certification and quality claims are supplier statements; no independent current-scope reports inspected. Historical acceptance percentages do not establish universal accuracy. Source locator: Sama Annotation Process; Data Security."
        },
        "P": {
          "claim_ids": [
            "sama.claim.final-gate-p"
          ],
          "level": "3",
          "rationale": "Accessible delivery workflows, named deployed use cases and a dated product release meet P3. Higher-level limit: Production cases do not prove current work for those buyers or realization of launch-time performance targets."
        },
        "R": {
          "claim_ids": [
            "sama.claim.final-gate-r"
          ],
          "level": "3",
          "rationale": "Distinct named deliveries exceed six months and a three-buyer historical evidence chain spans more than 24 months. Higher-level limit: This is a longitudinal business history, not proof of uninterrupted renewal with any buyer, current revenue, retention or a present-day three-customer frontier roster."
        }
      },
      "id": "sama.assessment.company",
      "material_conflict": false,
      "raw_path": "data/raw/reviews/expansion-formal-gate-assessments.json",
      "raw_pointer": "/assessments/2",
      "reviewer": "Public-source gate reassessment, 2026-10-12",
      "rubric_version": "1.0.0",
      "scope_exclusions": [
        "Historical OpenAI and Meta contracts are not current customer claims.",
        "Computer-vision deployments do not establish current frontier-model business scale.",
        "Revenue estimates excluded; actual company revenue remains undisclosed in reviewed sources."
      ],
      "scope_label": "Sama’s broad data-services/platform business, using documented historical commercial continuity",
      "segment_scope": "company",
      "stage_limitations": "Stage does not establish current frontier-model customers, post-termination payroll or disclosed revenue.",
      "stage_use": "Broad company historical-commercial evidence only; display dates and ended-client status prominently"
    }
  ],
  "claims": [
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for category. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: company reported.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.category",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/category",
      "segment_scope": "company",
      "source_ids": [
        "mercor.source.m1",
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      ],
      "statement": "Expert human-data and RL/evaluation provider; evolved from AI recruiting",
      "status": "superseded",
      "subject": "category"
    },
    {
      "as_of": "2023-01",
      "caveat": "Superseded by the final major-provider audit for founders. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: primary confirmed.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.founders",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/founders",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Brendan Foody; Adarsh Hiremath; Surya Midha",
      "status": "superseded",
      "subject": "founders"
    },
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for founding year. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: primary confirmed.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.founding_year",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/founding_year",
      "segment_scope": "company",
      "source_ids": [
        "mercor.source.m1"
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      "statement": "founding year: 2,023.",
      "status": "superseded",
      "subject": "founding year"
    },
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for legal identity. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: primary confirmed.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.legal_identity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/legal_identity",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Mercor.io Corporation",
      "status": "superseded",
      "subject": "legal identity"
    },
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for headquarters. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: primary confirmed.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.headquarters",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/headquarters",
      "segment_scope": "company",
      "source_ids": [
        "mercor.source.m4"
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      "statement": "San Francisco, California, United States",
      "status": "superseded",
      "subject": "headquarters"
    },
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for products. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: company reported.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.products",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/products",
      "segment_scope": "ai_data",
      "source_ids": [
        "mercor.source.m4",
        "mercor.source.m5"
      ],
      "statement": "Human-data services; Expert matching and vetting; APEX evaluation benchmarks; Enterprise AI agents; Data monetization; Robotics data",
      "status": "superseded",
      "subject": "products"
    },
    {
      "as_of": "2026-07-21",
      "caveat": "Names reported from investor materials; no customer-side confirmation located in this pass. Superseded by the final major-provider audit for customers. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "C",
      "confidence_reason": "Secondary reporting or indirect evidence. Research label: reported customer.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.customers-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/customers/0",
      "segment_scope": "ai_data",
      "source_ids": [
        "mercor.source.m7"
      ],
      "statement": "OpenAI; Anthropic; Google DeepMind; Reflection AI; Thinking Machines Lab",
      "status": "superseded",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for funding rounds. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: company announced.",
      "date_note": "Announcement date; financing is commonly dated 2023.",
      "id": "mercor.claim.funding_rounds-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/funding_rounds/0",
      "segment_scope": "company",
      "source_ids": [
        "mercor.source.m1"
      ],
      "statement": "Seed. USD 3,600,000. announced 2024-01-10. Lead investors: General Catalyst. Other investors: Scott Sandell, Soma Capital, Link Ventures, 2 | Twelve Angels.",
      "status": "superseded",
      "subject": "funding rounds"
    },
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for funding rounds. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: company announced.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.funding_rounds-1",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/funding_rounds/1",
      "segment_scope": "company",
      "source_ids": [
        "mercor.source.m2"
      ],
      "statement": "Series A. USD 30,000,000. announced 2024-09-19. valuation USD 250,000,000. Lead investors: Benchmark. Other investors: General Catalyst, Peter Thiel, Jack Dorsey, Adam D’Angelo, Larry Summers, Chris Ré.",
      "status": "superseded",
      "subject": "funding rounds"
    },
    {
      "as_of": "2024-09-19",
      "caveat": "Transaction valuation attached to the funding event.  Superseded by the final major-provider audit for funding rounds. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: company announced.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.funding_rounds-1-valuation_usd",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/funding_rounds/1/valuation_usd",
      "segment_scope": "company",
      "source_ids": [
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      ],
      "statement": "round valuation: USD 250,000,000. Period: 2024-09-19.",
      "status": "superseded",
      "subject": "round valuation"
    },
    {
      "as_of": "undated",
      "caveat": "Superseded by the final major-provider audit for funding rounds. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: independent report with company statement.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.funding_rounds-2",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/library-v1/market-research-v1.json",
      "raw_pointer": "/companies/0/funding_rounds/2",
      "segment_scope": "company",
      "source_ids": [
        "mercor.source.m3"
      ],
      "statement": "Series B. USD 100,000,000. announced 2025-02-20. valuation USD 2,000,000,000. Lead investors: Felicis. Other investors: General Catalyst, DST Global, Benchmark, Menlo Ventures.",
      "status": "superseded",
      "subject": "funding rounds"
    },
    {
      "as_of": "2025-02-20",
      "caveat": "Transaction valuation attached to the funding event.  Superseded by the final major-provider audit for funding rounds. Retained as historical provenance; excluded from active fact selectors.",
      "company_id": "mercor",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: independent report with company statement.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "id": "mercor.claim.funding_rounds-2-valuation_usd",
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      "company_id": "snorkel_ai",
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      "company_id": "handshake_ai",
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      "company_id": "handshake_ai",
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      "company_id": "handshake_ai",
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      "as_of": "undated",
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      "company_id": "handshake_ai",
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      "company_id": "handshake_ai",
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      "company_id": "handshake_ai",
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      "confidence": "B",
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      "company_id": "handshake_ai",
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      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: company announced.",
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    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "elorian",
      "confidence": "B",
      "confidence_reason": "Attributed company, investor, or named primary statement. Research label: researcher-assigned evidence grade.",
      "date_note": "Date label preserved from research; access dates are not substituted.",
      "evidence_label": "Attributed company, investor, or named primary statement. Research label: researcher-assigned evidence grade.",
      "id": "elorian.claim.core-elorian.claim.growth_metrics-0.metric-0-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/core-priority-audit.json",
      "raw_pointer": "/companies/3",
      "segment_scope": "company",
      "source_ids": [
        "elorian.source.elorian-3"
      ],
      "statement": "Safety-contractor listing describes approximately 20 scientists/engineers. This is an employer snapshot, not active-contractor count or a revenue measure.",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "elorian",
      "confidence": "B",
      "confidence_reason": "Reviewed public evidence",
      "date_note": "",
      "evidence_label": "Reviewed public evidence",
      "id": "elorian.claim.audit-unknowns",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/core-priority-audit.json",
      "raw_pointer": "/companies/3",
      "segment_scope": "company",
      "source_ids": [
        "elorian.source.elorian-1",
        "elorian.source.elorian-2",
        "elorian.source.elorian-3",
        "elorian.source.elorian-4",
        "elorian.source.elorian-5",
        "elorian.source.elorian-6",
        "elorian.source.elorian-7"
      ],
      "statement": "Private pilot traction, release timing, revenue and commercial customers. Preserve $55M funding and named founding team; do not call financing unknown.",
      "status": "supported",
      "subject": "unknowns"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "Source says over, not exactly. Company-wide compute/RL platform run rate, not SaaS ARR or AI-data segment revenue; gross/net and margin not disclosed.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "prime_intellect.claim.audit-pi-run-rate",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p3"
      ],
      "statement": "Kind: annualized_revenue_run_rate. Value: 100,000,000. Qualifier: at_least. Currency: USD. Unit: currency. As of: 2026-07-08. Segment scope: company. Reported vs estimated: reported. Gross vs net: unspecified. Label: Annualized revenue, above $100m",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "Source says over, not exactly. Company-wide compute/RL platform run rate, not SaaS ARR or AI-data segment revenue; gross/net and margin not disclosed.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "prime_intellect.claim.audit-pi-run-rate-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p3"
      ],
      "statement": "Kind: annualized_revenue_run_rate. Value: 100,000,000. Qualifier: at_least. Currency: USD. Unit: currency. As of: 2026-07-08. Segment scope: company. Reported vs estimated: reported. Gross vs net: unspecified. Label: Annualized revenue, above $100m",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "Company claims customers across multiple products; paid/active definition unspecified.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "prime_intellect.claim.audit-pi-customers",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p3"
      ],
      "statement": "Kind: customer_count. Value: 6,000. Qualifier: at_least. Unit: count. As of: 2026-07-08. Segment scope: company. Label: Customers, above 6,000",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "Company claims customers across multiple products; paid/active definition unspecified.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "prime_intellect.claim.audit-pi-customers-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p3"
      ],
      "statement": "Kind: customer_count. Value: 6,000. Qualifier: at_least. Unit: count. As of: 2026-07-08. Segment scope: company. Label: Customers, above 6,000",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "Keep the separate $150.5m calculated disclosed-round sum; date that sum to the last included announcement, July 8, 2026. Never substitute funding_unknown because source amounts are strings.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "transaction-counsel-reported. Cooley, counsel to Prime Intellect, reports the financing and cumulative amount; related-party transaction confirmation, not independent journalism or audited accounts.",
      "date_note": "",
      "evidence_label": "transaction-counsel-reported. Cooley, counsel to Prime Intellect, reports the financing and cumulative amount; related-party transaction confirmation, not independent journalism or audited accounts.",
      "id": "prime_intellect.claim.audit-pi-announced-total",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p4"
      ],
      "statement": "Kind: funding_total_reported. Value: 150,000,000. Qualifier: at_least. Unit: currency. Currency: USD. As of: 2026-07-08. Segment scope: company. Label: Company-reported total, above $150m",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "Keep the separate $150.5m calculated disclosed-round sum; date that sum to the last included announcement, July 8, 2026. Never substitute funding_unknown because source amounts are strings.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "transaction-counsel-reported. Cooley, counsel to Prime Intellect, reports the financing and cumulative amount; related-party transaction confirmation, not independent journalism or audited accounts.",
      "date_note": "",
      "evidence_label": "transaction-counsel-reported. Cooley, counsel to Prime Intellect, reports the financing and cumulative amount; related-party transaction confirmation, not independent journalism or audited accounts.",
      "id": "prime_intellect.claim.audit-pi-announced-total-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p4"
      ],
      "statement": "Kind: funding_total_reported. Value: 150,000,000. Qualifier: at_least. Unit: currency. Currency: USD. As of: 2026-07-08. Segment scope: company. Label: Company-reported total, above $150m",
      "status": "supported",
      "subject": "financial metrics"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "Transaction counsel corroborates completed Series A; actual close date not supplied. No claim of date-exact closing.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "transaction-counsel-reported. Cooley transaction announcement supports completed financing; it does not give an exact legal closing date.",
      "date_note": "",
      "evidence_label": "transaction-counsel-reported. Cooley transaction announcement supports completed financing; it does not give an exact legal closing date.",
      "id": "prime_intellect.claim.audit-pi-series-a",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p4"
      ],
      "statement": "Round id: prime_intellect.round.2. Capital type: equity. Status: closed. Announced on: 2026-07-08. Amount: 130,000,000. Currency: USD",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2026-07-08",
      "caveat": "These are angels in the announcement, not evidence their employers invested or became customers.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "prime_intellect.claim.audit-pi-angels",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/4",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p3"
      ],
      "statement": "Round id: prime_intellect.round.2. Role: participant. Names: John Schulman; Karim Atiyeh; Aaron Levie; Dwarkesh Patel; Milan Kovac; Winston Weinberg; Mike Knoop; Asher Spector; Jeff Wang; Rohan Anil; Matthew Prince; Brendan Foody; Devansh Pandey; Harrison Chase; Nic Ouporov",
      "status": "supported",
      "subject": "investors"
    },
    {
      "as_of": "undated",
      "caveat": "Specific deployment with measured outcome; company-run evaluation, not independently replicated. Linked Ramp X post returned 403, so do not upgrade to buyer-confirmed A evidence.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Prime Intellect publishes the named Ramp case and benchmark results; the buyer-side linked post could not be read.",
      "date_note": "",
      "evidence_label": "issuer-reported. Prime Intellect publishes the named Ramp case and benchmark results; the buyer-side linked post could not be read.",
      "id": "prime_intellect.claim.audit-pi-ramp-proof",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/5",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p5"
      ],
      "statement": "Supplier case describes Ramp training a 35B FastAsk spreadsheet-retrieval subagent with 14 finance task types. Held-out exact-match accuracy was 66.25%, versus 61.88% for Opus 4.6 and 56.25% for the base model; all tested in non-thinking mode.",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2024-04-23",
      "caveat": "",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-issued press release distributed by PR Newswire; the wire is the distributor, not an independent reporter.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-issued press release distributed by PR Newswire; the wire is the distributor, not an independent reporter.",
      "id": "prime_intellect.claim.audit-pi-founder-background",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/6",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p1"
      ],
      "statement": "Name: Vincent Weisser. Background: Helped start VitaDAO, then led product and AI at Molecule.; Name: Johannes Hagemann. Background: Built distributed-training frameworks at Aleph Alpha; company biography cites a NeurIPS 2023 Best Paper Award.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Current canonical third_party/C is wrong: this is a primary supplier case. Keep its independent-verification limit.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Supplier-authored case supports a named claimed customer; no accessible independent buyer confirmation in this audit.",
      "date_note": "",
      "evidence_label": "issuer-reported. Supplier-authored case supports a named claimed customer; no accessible independent buyer confirmation in this audit.",
      "id": "prime_intellect.claim.audit-pi-ramp-classification",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/7",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p5"
      ],
      "statement": "Id: prime_intellect.customer.0. Organization: Ramp. Relationship: claimed_customer. Disclosure: company_named. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Current canonical third_party/C is wrong: this is a primary supplier case. Keep its independent-verification limit.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Supplier-authored case supports a named claimed customer; no accessible independent buyer confirmation in this audit.",
      "date_note": "",
      "evidence_label": "issuer-reported. Supplier-authored case supports a named claimed customer; no accessible independent buyer confirmation in this audit.",
      "id": "prime_intellect.claim.audit-pi-ramp-classification-prime_intellect.customer.0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/7",
      "segment_scope": "ai_data",
      "source_ids": [
        "prime_intellect.source.p5"
      ],
      "statement": "Id: prime_intellect.customer.0. Organization: Ramp. Relationship: claimed_customer. Disclosure: company_named. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "2025 announcement explicitly says raised $15m and more than $20m cumulatively. Exact close dates are unspecified. No invented separate Form D round.",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "prime_intellect.claim.audit-pi-earlier-rounds",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/findings/8",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p1",
        "prime_intellect.source.p2"
      ],
      "statement": "Id: prime_intellect.round.0. Capital type: equity. Status: announced. Announced on: 2024-04-23; Id: prime_intellect.round.1. Capital type: equity. Status: closed. Announced on: 2025-02-28",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "prime_intellect",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "prime_intellect.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/0/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "prime_intellect.source.p3",
        "prime_intellect.source.p4",
        "prime_intellect.source.p5",
        "prime_intellect.source.p1",
        "prime_intellect.source.p2"
      ],
      "statement": "Scaled compute and reinforcement-learning infrastructure provider with issuer-reported company-wide annualized revenue above $100m and a substantive named Ramp deployment case. Commercial proof is strong for the platform, but it does not establish a $100m expert-data business, SaaS ARR, disclosed margins or independently replicated task performance.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "Undated company-authored YC profile; not active paid workers or payroll.",
      "company_id": "abundant_ai",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-authored YC profile; accelerator hosting is not independent verification of expert count.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-authored YC profile; accelerator hosting is not independent verification of expert count.",
      "id": "abundant_ai.claim.audit-abundant-network",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/1/findings/0",
      "segment_scope": "ai_data",
      "source_ids": [
        "abundant_ai.source.a1"
      ],
      "statement": "Kind: expert_network. Value: 500. Qualifier: at_least. Unit: people. As of: undated. Segment scope: ai_data. Label: Domain experts, above 500",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Undated company-authored YC profile; not active paid workers or payroll.",
      "company_id": "abundant_ai",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-authored YC profile; accelerator hosting is not independent verification of expert count.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-authored YC profile; accelerator hosting is not independent verification of expert count.",
      "id": "abundant_ai.claim.audit-abundant-network-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/1/findings/0",
      "segment_scope": "ai_data",
      "source_ids": [
        "abundant_ai.source.a1"
      ],
      "statement": "Kind: expert_network. Value: 500. Qualifier: at_least. Unit: people. As of: undated. Segment scope: ai_data. Label: Domain experts, above 500",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Keep as attributed undated claim. No buyer names, measurement window or financial amount; do not invent numeric revenue.",
      "company_id": "abundant_ai",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-authored YC profile reports throughput/growth and unnamed customers; no buyer-side corroboration.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-authored YC profile reports throughput/growth and unnamed customers; no buyer-side corroboration.",
      "id": "abundant_ai.claim.audit-abundant-output",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/1/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "abundant_ai.source.a1"
      ],
      "statement": "Company reports billions of training tokens monthly and 2x month-over-month output, supplying three of the six leading AI labs and Fortune 500 enterprises.",
      "status": "supported",
      "subject": "operating signal"
    },
    {
      "as_of": "undated",
      "caveat": "Individual biographies do not map each named employer to every founder; retain team-level attribution.",
      "company_id": "abundant_ai",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-authored YC biographies; collective employer history remains a team-level assertion.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-authored YC biographies; collective employer history remains a team-level assertion.",
      "id": "abundant_ai.claim.audit-abundant-founders",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/1/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "abundant_ai.source.a1"
      ],
      "statement": "Jesse Hu is a former Waymo ML engineer. The founding team collectively describes prior ML/data work at Waymo, Google, Meta and AWS; experience includes self-driving models, large human-annotation pipelines and a DeepMind hate-speech project.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Conflicting $0.5m/$1m/$4.5m aggregator claims remain unresolved. Standard YC terms are not a verified company total.",
      "company_id": "abundant_ai",
      "confidence": "B",
      "confidence_reason": "investor-reported. YC directory confirms accelerator backing/cohort. The absence of a verified company-specific total is an audit conclusion, not a zero-funding assertion.",
      "date_note": "",
      "evidence_label": "investor-reported. YC directory confirms accelerator backing/cohort. The absence of a verified company-specific total is an audit conclusion, not a zero-funding assertion.",
      "id": "abundant_ai.claim.audit-abundant-funding",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/1/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "abundant_ai.source.a1"
      ],
      "statement": "YC Fall 2024 backing is primary-confirmed; no company-specific total, priced valuation or further primary round found.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "abundant_ai",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "abundant_ai.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/1/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "abundant_ai.source.a1"
      ],
      "statement": "Early expert-data supplier with company-reported lab engagements, expert capacity and recurring token output. These are meaningful delivery signals, but anonymous buyers and no disclosed contract values or verified revenue leave commercial scale and repeatability unproven.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "Company-authored biography; not independently verified employment records.",
      "company_id": "refresh",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "refresh.claim.audit-refresh-founders",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/2/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "refresh.source.b_rf2"
      ],
      "statement": "Name: Christopher Settles. Role: Co-founder and CEO. Background: Led evaluation for Uber’s generative-AI platform and shipped its first computer-use agents.; Name: Erik Quintanilla. Role: Co-founder and CTO. Background: Built Amazon production-operations automation and filed web-scraping patents, then led Capital One platform modernization and ML at LynkAI.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Surface above collapsed all-evidence section; technical task ownership is more useful than generic hiring prose.",
      "company_id": "refresh",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "refresh.claim.audit-refresh-process",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
        "refresh.source.b_rf2"
      ],
      "statement": "Settles owns world generation, task design and fidelity; Quintanilla owns verifier design, post-training and harnesses. Operations lead Sid Santbakshsing coordinates expert recruitment, verifier QA and gold trajectories.",
      "status": "supported",
      "subject": "operating process"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "refresh",
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      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "refresh.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
        "refresh.source.b_rf2"
      ],
      "statement": "Early reinforcement-learning environment and post-training supplier with clearly articulated technical ownership, verifier design and expert-quality processes. Public evidence reviewed establishes the offering and team capability, but not a named paid deployment, revenue scale or repeat purchasing.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "Company biography; no verified complete founding roster beyond Li.",
      "company_id": "benchflow",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "benchflow.claim.audit-benchflow-founder",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/3/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "benchflow.source.b_bf2"
      ],
      "statement": "Xiangyi Li’s company biography identifies coding-model inference work at Tesla.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Product/research scale, not customer or revenue growth. SkillsBench’s separately described 1.0 release has 100+ tasks, so retain version labels.",
      "company_id": "benchflow",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "benchflow.claim.audit-benchflow-product",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/3/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "benchflow.source.b_bf1"
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      "statement": "Stateful environments include services, files, tools, verifiers, traces and replay. SkillsBench covers 86 tasks across 11 domains; Robo Use advertises 341 tasks across 14 suites.",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "2026-03-03",
      "caveat": "University-hosted alumnus interview, not a financing filing. More precise than the short current company biography.",
      "company_id": "benchflow",
      "confidence": "B",
      "confidence_reason": "founder-reported. Founder/alumnus interview hosted by CUHK Shenzhen; institutional hosting does not independently verify every employment or startup detail.",
      "date_note": "",
      "evidence_label": "founder-reported. Founder/alumnus interview hosted by CUHK Shenzhen; institutional hosting does not independently verify every employment or startup detail.",
      "id": "benchflow.claim.audit-benchflow-founder-chronology",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/3/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "benchflow.source.b_bf4"
      ],
      "statement": "University interview dates Li’s Tesla code-generation evaluation internship to summer 2024, founding-engineer work at OmniAI to August 2024, and BenchFlow founding to September 2024. He graduated in CS from CUHK Shenzhen in 2023 before a San José State master’s program.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "2026-03-03",
      "caveat": "Do not add a second $1m round. Preserve a16z Scout Fund distinction from flagship institutional investing or accelerator admission.",
      "company_id": "benchflow",
      "confidence": "B",
      "confidence_reason": "founder-reported. University-hosted founder interview reports financing. The no-new-round and source-overlap limits are audit conclusions.",
      "date_note": "",
      "evidence_label": "founder-reported. University-hosted founder interview reports financing. The no-new-round and source-overlap limits are audit conclusions.",
      "id": "benchflow.claim.audit-benchflow-funding-limits",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/3/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "benchflow.source.b_bf4"
      ],
      "statement": "University and founder sources support more than $1m raised and names including Jeff Dean, Arash Ferdowsi and Founders, Inc. The source overlap and exact round date remain unresolved.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "benchflow",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "benchflow.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/3/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "benchflow.source.b_bf2",
        "benchflow.source.b_bf1",
        "benchflow.source.b_bf4"
      ],
      "statement": "Benchmark and agent-environment specialist with concrete open research assets and a founder whose evaluation experience fits the product. Public product adoption and fundraising do not yet establish named paid customers, contract economics or repeatable commercial delivery.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "Company-defined workforce categories are not verified payroll FTEs or active billed workers. Surface as separate counts, not a combined network number.",
      "company_id": "g2i",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "g2i.claim.audit-g2i-workforce",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/4/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "g2i.source.g2i-1"
      ],
      "statement": "Full time engineers: 200. Bench engineers: 8,000. As of: undated. Segment scope: company",
      "status": "supported",
      "subject": "operating signal"
    },
    {
      "as_of": "undated",
      "caveat": "Distinguish business origin from platform/product launch; do not flatten the three milestones into one founding date.",
      "company_id": "g2i",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "g2i.claim.audit-g2i-founding-and-ai",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/4/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "g2i.source.g2i-1"
      ],
      "statement": "Company says it has served the software ecosystem since 2013, launched its hiring platform in 2015 and entered frontier-lab RLHF pipelines in February 2024.",
      "status": "supported",
      "subject": "company history"
    },
    {
      "as_of": "undated",
      "caveat": "Advisers are not founders, investors or customers.",
      "company_id": "g2i",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "g2i.claim.audit-g2i-advisors",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/4/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "g2i.source.g2i-1"
      ],
      "statement": "Company lists advisers Kevin Van Gundy (former Vercel COO), Hank Taylor (former Vercel CMO), Merritt Baer (former AWS deputy CISO) and Shawn Wang (Latent Space / AI Engineer founder).",
      "status": "supported",
      "subject": "leadership"
    },
    {
      "as_of": "undated",
      "caveat": "Page displays 50M paid to engineers in 2026 without an explicit currency symbol or YTD/full-year distinction. Existing raw silently labels USD; retain the text and flag currency unspecified rather than treating $50m as verified revenue.",
      "company_id": "g2i",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company webpage reports 50M paid to engineers in 2026. Currency and YTD/full-year basis are unspecified; not established as revenue or a forecast.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company webpage reports 50M paid to engineers in 2026. Currency and YTD/full-year basis are unspecified; not established as revenue or a forecast.",
      "id": "g2i.claim.audit-g2i-payout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/4/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "g2i.source.g2i-1"
      ],
      "statement": "Id: g2i.claim.growth_metrics-1.metric-0. Kind: other. Label: Reported 2026 engineer payouts; period/basis unclear. Observation status: reported. Segment scope: company. Remove fields: currency. Unit: other",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026",
      "caveat": "Page displays 50M paid to engineers in 2026 without an explicit currency symbol or YTD/full-year distinction. Existing raw silently labels USD; retain the text and flag currency unspecified rather than treating $50m as verified revenue.",
      "company_id": "g2i",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company webpage reports 50M paid to engineers in 2026. Currency and YTD/full-year basis are unspecified; not established as revenue or a forecast.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company webpage reports 50M paid to engineers in 2026. Currency and YTD/full-year basis are unspecified; not established as revenue or a forecast.",
      "id": "g2i.claim.audit-g2i-payout-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/4/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "g2i.source.g2i-1"
      ],
      "statement": "Id: g2i.claim.growth_metrics-1.metric-0. Kind: other. Label: Reported 2026 engineer payouts; period/basis unclear. Observation status: reported. Segment scope: company. Remove fields: currency. Unit: other",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Do not turn no VC into zero all financing; do not label undated 15M as current annual revenue. GetLatka estimate remains excluded.",
      "company_id": "g2i",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company describes historical hiring revenue and no VC backing. No independently verified current annual revenue or comprehensive financing total is claimed.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company describes historical hiring revenue and no VC backing. No independently verified current annual revenue or comprehensive financing total is claimed.",
      "id": "g2i.claim.audit-g2i-funding",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/4/findings/4",
      "segment_scope": "company",
      "source_ids": [
        "g2i.source.g2i-1"
      ],
      "statement": "Company still describes historical hiring-platform revenue of 15M with no VC money. No financing round or current actual revenue amount was established.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "g2i",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "g2i.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/4/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "g2i.source.g2i-1"
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      "statement": "An established engineering talent business extending into frontier-lab RLHF work, with reported staffing capacity and expert payouts indicating operating activity. The reviewed evidence does not isolate current AI-data revenue, identify confirmed lab buyers or turn historical hiring revenue and ambiguous payout figures into current annual sales.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "11,000+ vetted builders includes the whole staffing network; observation date is not a dated reporting period.",
      "company_id": "a-team",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "a-team.claim.audit-ateam-scope",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/5/findings/0",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Id: a-team.claim.growth_metrics-0.metric-0. Segment scope: company. As of: undated",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "11,000+ vetted builders includes the whole staffing network; observation date is not a dated reporting period.",
      "company_id": "a-team",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "a-team.claim.audit-ateam-scope-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/5/findings/0",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Id: a-team.claim.growth_metrics-0.metric-0. Segment scope: company. As of: undated",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Undated self-reported company-wide measures. Not separate RL-data customers or active billable workers.",
      "company_id": "a-team",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "a-team.claim.audit-ateam-operating",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/5/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "a-team.source.ateam-2"
      ],
      "statement": "Current talent page reports 300+ companies served, 100+ Fortune 500 clients, an 18-month average engagement and below-2% admission rate.",
      "status": "supported",
      "subject": "operating signal"
    },
    {
      "as_of": "undated",
      "caveat": "Keep existing $65m reported-total metric and historical $42m May-2022 revenue run rate; do not replace with funding_unknown.",
      "company_id": "a-team",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited. No-new-finding is the audit result for the reviewed sources, not proof that no undisclosed financing or activity exists.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited. No-new-finding is the audit result for the reviewed sources, not proof that no undisclosed financing or activity exists.",
      "id": "a-team.claim.audit-ateam-total",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/5/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "a-team.source.ateam-2"
      ],
      "statement": "Official page still reports $65m raised. Disclosed seed and Series A total $60m; the incremental $5m remains an unallocated difference, not a verified new round.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2022-05-17",
      "caveat": "Founder-authored narrative. Do not import secondary acquisition-price disagreements.",
      "company_id": "a-team",
      "confidence": "B",
      "confidence_reason": "founder-reported. Ouzan-authored company narrative supports his professional background.",
      "date_note": "",
      "evidence_label": "founder-reported. Ouzan-authored company narrative supports his professional background.",
      "id": "a-team.claim.audit-ateam-founder-background",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/5/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "a-team.source.ateam-3"
      ],
      "statement": "Raphael Ouzan previously built BillGuard and was an entrepreneur-in-residence at Thrive Capital.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "2022-05-17",
      "caveat": "Source separately identifies $5m seed and $55m Series A. Announcement date must not be substituted for exact close date. No additional $5m round inferred.",
      "company_id": "a-team",
      "confidence": "B",
      "confidence_reason": "founder-reported. Founder-authored financing announcement distinguishes the seed and Series A; event classification is the audit interpretation.",
      "date_note": "",
      "evidence_label": "founder-reported. Founder-authored financing announcement distinguishes the seed and Series A; event classification is the audit interpretation.",
      "id": "a-team.claim.audit-ateam-round-types",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/5/findings/4",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Id: a-team.round.0. Capital type: equity; Id: a-team.round.1. Capital type: equity",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "a-team",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "a-team.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/5/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "a-team.source.ateam-2",
        "a-team.source.ateam-3"
      ],
      "statement": "Established talent and team-building platform with company-reported enterprise breadth, engagement duration and historical revenue run rate. That supports commercial staffing traction, while the size and repeatability of a distinct frontier-data or reinforcement-learning business remain unproven.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "2015-07-14",
      "caveat": "Contemporaneous company-hosted announcement says received $7.5m. Current about-page retrospective instead says $7.8m and conflates Series B chronology; retain conflicting alternative and exclude from strict exact observed sum pending reconciliation. Do not add $7.5m to the already inclusive >$115m reported total.",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Contemporaneous company-hosted financing announcement; current retrospective conflicts with the amount and chronology.",
      "date_note": "",
      "evidence_label": "issuer-reported. Contemporaneous company-hosted financing announcement; current retrospective conflicts with the amount and chronology.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/findings/0",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Id: hackerrank.round.recruit-2015. Round name: Strategic investment. Amount: 7,500,000. Currency: USD. Announced on: 2015-07-14. Status: closed. Capital type: equity. Amount basis: new_capital. Segment scope: company. Investors: Name: Recruit Holdings HR Technology Fund. Role: lead",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "undated",
      "caveat": "Company retrospective; distinguish parent founding from product brand launch.",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "hackerrank.claim.audit-hackerrank-founder-background",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/findings/1",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Vivek Ravisankar and Harishankaran Karunanidhi worked at Amazon and IBM, respectively, before starting InterviewStreet in July 2009. HackerRank launched in 2012 after the $3m September-2011 financing.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Community size is not 31m paid experts. Current page still supports 31m and 2,500 but does not establish the older raw 9,000 questions / 53m attempts figures; mark those historical/unrevalidated.",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "hackerrank.claim.audit-hackerrank-scale",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "hackerrank.source.hr-1"
      ],
      "statement": "Developer community min: 31,000,000. Company customer min: 2,500. As of: undated. Segment scope: company",
      "status": "supported",
      "subject": "operating signal"
    },
    {
      "as_of": "undated",
      "caveat": "Use HackerRank / Astra (HackerRank Bench) as aliases; this is not a separately funded entity. Paid-per-task listings establish an operational supply route, not revenue.",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "hackerrank.claim.audit-hackerrank-product",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "hackerrank.source.hr-1"
      ],
      "statement": "Current Astra URL is branded HackerRank Bench. Offers repo-scale RL gyms with hidden verifiers and partial rewards, expert SFT/preference data, private benchmarks and multi-file agentic SWE trajectories.",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Canonical company_named is wrong when no lab is named.",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "hackerrank.claim.audit-hackerrank-anonymous",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/findings/4",
      "segment_scope": "company",
      "source_ids": [
        "hackerrank.source.hr-1"
      ],
      "statement": "Id: hackerrank.customer.0. Organization: Unnamed frontier/model labs. Disclosure: anonymous. Relationship: claimed_customer. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Canonical company_named is wrong when no lab is named.",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "hackerrank.claim.audit-hackerrank-anonymous-hackerrank.customer.0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/findings/4",
      "segment_scope": "ai_data",
      "source_ids": [
        "hackerrank.source.hr-1"
      ],
      "statement": "Id: hackerrank.customer.0. Organization: Unnamed frontier/model labs. Disclosure: anonymous. Relationship: claimed_customer. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2022-03-29",
      "caveat": "Retain $60m Series D and >$115m company total; additional existing backers are not all confirmed new-money participants. No Astra allocation or current ARR amount established.",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-issued PR Newswire announcement; capital-type classification is an audit interpretation, not independent financing verification.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-issued PR Newswire announcement; capital-type classification is an audit interpretation, not independent financing verification.",
      "id": "hackerrank.claim.audit-hackerrank-funding-type",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/findings/5",
      "segment_scope": "company",
      "source_ids": [
        "hackerrank.source.hr-5"
      ],
      "statement": "Id: hackerrank.round.3. Capital type: equity",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "hackerrank",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "hackerrank.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/6/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "hackerrank.source.audit-0b008a54ca",
        "hackerrank.source.hr-3",
        "hackerrank.source.hr-1",
        "hackerrank.source.hr-5"
      ],
      "statement": "Established developer-assessment and hiring platform now offering expert code data, reinforcement-learning gyms and private benchmarks through HackerRank Bench/Astra. Its broad developer community and hiring customer base support distribution and sourcing capacity, but are not proof of paid frontier-lab data customers or AI-data revenue.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "2025-11-19",
      "caveat": "Buyer-authored paper explicitly describes Pareto as commercial partner. This establishes an actual completed research engagement; fees and renewals are undisclosed. Do not imply ongoing 2026 contract or SaaS production.",
      "company_id": "pareto",
      "confidence": "A",
      "confidence_reason": "buyer-confirmed. Buyer-side UK AI Security Institute research paper explicitly names Pareto as commercial partner; it does not disclose fees, renewal or current contract status.",
      "date_note": "",
      "evidence_label": "buyer-confirmed. Buyer-side UK AI Security Institute research paper explicitly names Pareto as commercial partner; it does not disclose fees, renewal or current contract status.",
      "id": "pareto.claim.audit-pareto-aisi-customer",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/7/findings/0",
      "segment_scope": "ai_data",
      "source_ids": [
        "pareto.source.audit-b5a282fc0a"
      ],
      "statement": "Id: pareto.customer.uk-aisi. Organization: UK AI Security Institute. Relationship: customer. Disclosure: customer_confirmed. Paid status: unknown. Segment scope: ai_data. Production status: unknown. Use case: Expert recruitment, harm-evaluation rubrics and graded training data for a deployed harmful-advice classifier.",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2025-11-19",
      "caveat": "Supplier blog mentions 6,707 evaluated examples; do not equate that broader production figure with the 3,650-example public release. Performance is task-specific, not model-wide.",
      "company_id": "pareto",
      "confidence": "A",
      "confidence_reason": "buyer-confirmed. AISI-authored paper and AISI-published dataset report the task-specific result and released examples; results are buyer-measured, not an independent replication.",
      "date_note": "",
      "evidence_label": "buyer-confirmed. AISI-authored paper and AISI-published dataset report the task-specific result and released examples; results are buyer-measured, not an independent replication.",
      "id": "pareto.claim.audit-pareto-aisi-outcome",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/7/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "pareto.source.audit-b5a282fc0a",
        "pareto.source.audit-aa71b4e989"
      ],
      "statement": "AISI reports 96% binary harm-classification accuracy for its Llama-3.1-8B autograder versus 77% zero-shot baseline. Its dataset card credits Pareto staff Elizabeth Nguyen and Daria Butuc and lists 3,650 released examples.",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Existing prose says research collaboration, not four paying customers; normalization currently marks claimed_customer.",
      "company_id": "pareto",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Employer-authored recruiting description hosted on an investor portfolio jobs board; hosting alone is not investor confirmation of commercial customers.",
      "date_note": "",
      "evidence_label": "issuer-reported. Employer-authored recruiting description hosted on an investor portfolio jobs board; hosting alone is not investor confirmation of commercial customers.",
      "id": "pareto.claim.audit-pareto-collaborator-tag",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/7/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "pareto.source.pareto-4"
      ],
      "statement": "Id: pareto.customer.1. Relationship: research_collaborator. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Existing prose says research collaboration, not four paying customers; normalization currently marks claimed_customer.",
      "company_id": "pareto",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Employer-authored recruiting description hosted on an investor portfolio jobs board; hosting alone is not investor confirmation of commercial customers.",
      "date_note": "",
      "evidence_label": "issuer-reported. Employer-authored recruiting description hosted on an investor portfolio jobs board; hosting alone is not investor confirmation of commercial customers.",
      "id": "pareto.claim.audit-pareto-collaborator-tag-pareto.customer.1",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/7/findings/2",
      "segment_scope": "ai_data",
      "source_ids": [
        "pareto.source.pareto-4"
      ],
      "statement": "Id: pareto.customer.1. Relationship: research_collaborator. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Current company history, attributed rather than independent biography.",
      "company_id": "pareto",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "pareto.claim.audit-pareto-founder-background",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/7/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "pareto.source.pareto-1"
      ],
      "statement": "Phoebe Yao is a Thiel Fellow. Pareto evolved from a bootcamp for remote work into a virtual-assistant business and then expert AI data.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Investor republishes TechCrunch rather than a separate independent confirmation. No newer primary round found; do not use historical virtual-assistant MRR as current AI-data revenue.",
      "company_id": "pareto",
      "confidence": "B",
      "confidence_reason": "independent-reporting. TechCrunch reporting republished by investor MaC Venture Capital. The investor-hosted copy is not a second independent confirmation.",
      "date_note": "",
      "evidence_label": "independent-reporting. TechCrunch reporting republished by investor MaC Venture Capital. The investor-hosted copy is not a second independent confirmation.",
      "id": "pareto.claim.audit-pareto-funding-retained",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/7/findings/4",
      "segment_scope": "company",
      "source_ids": [
        "pareto.source.audit-ee8d1be27a"
      ],
      "statement": "Investor-hosted contemporaneous reporting corroborates a $600k 2020 pre-seed and $4.5m seed closed in November 2021, announced March 2022, for $5.1m total.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "pareto",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "pareto.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/7/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "pareto.source.audit-b5a282fc0a",
        "pareto.source.audit-aa71b4e989",
        "pareto.source.pareto-4",
        "pareto.source.pareto-1",
        "pareto.source.audit-ee8d1be27a"
      ],
      "statement": "Expert-data services provider with unusually strong buyer-side evidence: a UK AI Security Institute paper names Pareto as its commercial partner and documents delivered expert recruitment, rubrics and grading. This establishes a substantive completed engagement; fees, renewals, current contract status and scalable recurring revenue remain undisclosed.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "These should be prominently visible sourced text cards. Do not convert to $1m ARR, $10m revenue, funding or a fixed normalized amount.",
      "company_id": "ooak",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-authored YC launch and employer job listing respectively claim revenue and signed contracts; currency and reporting periods remain unspecified.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-authored YC launch and employer job listing respectively claim revenue and signed contracts; currency and reporting periods remain unspecified.",
      "id": "ooak.claim.audit-ooak-revenue-contract",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/8/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "ooak.source.ooak-2",
        "ooak.source.ooak-4"
      ],
      "statement": "YC company launch reports revenue well above seven figures; employer listing reports signed frontier-lab contracts in eight figures. Neither states currency or measurement period.",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Company-authored accelerator biography. Grégoire Lamy remains confirmed co-founder/COO even though active-founder cards list only two names.",
      "company_id": "ooak",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-authored YC founder biographies; accelerator hosting is not independent CV verification.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-authored YC founder biographies; accelerator hosting is not independent CV verification.",
      "id": "ooak.claim.audit-ooak-founder-background",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/8/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "ooak.source.ooak-2"
      ],
      "statement": "Name: Pierre-Louis Vouteau. Background: Previously COO at Visely, with earlier work at Gopuff and L’Oréal.; Name: Thomas Aubry. Background: Former Head of Data at PayLead and Applied ML Scientist at Samsung AI; earlier co-founded Macro Vision in autonomous-vehicle engineering.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Five-person YC directory snapshot is not a verified payroll count; observation date not a hiring census.",
      "company_id": "ooak",
      "confidence": "B",
      "confidence_reason": "issuer-reported. YC company profile snapshot supplies team size; not audited employment or payroll data.",
      "date_note": "",
      "evidence_label": "issuer-reported. YC company profile snapshot supplies team size; not audited employment or payroll data.",
      "id": "ooak.claim.audit-ooak-headcount-scope",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/8/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "ooak.source.ooak-2"
      ],
      "statement": "Id: ooak.claim.growth_metrics-3.metric-0. Segment scope: company. As of: undated",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Five-person YC directory snapshot is not a verified payroll count; observation date not a hiring census.",
      "company_id": "ooak",
      "confidence": "B",
      "confidence_reason": "issuer-reported. YC company profile snapshot supplies team size; not audited employment or payroll data.",
      "date_note": "",
      "evidence_label": "issuer-reported. YC company profile snapshot supplies team size; not audited employment or payroll data.",
      "id": "ooak.claim.audit-ooak-headcount-scope-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/8/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "ooak.source.ooak-2"
      ],
      "statement": "Id: ooak.claim.growth_metrics-3.metric-0. Segment scope: company. As of: undated",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Leave unknown financing while retaining commercial revenue/contract claims. Twenty source companies are data suppliers, not twenty customers.",
      "company_id": "ooak",
      "confidence": "B",
      "confidence_reason": "investor-reported. YC company directory confirms Summer 2026 accelerator backing. No company-specific funding total was verified; this is not evidence of zero funding.",
      "date_note": "",
      "evidence_label": "investor-reported. YC company directory confirms Summer 2026 accelerator backing. No company-specific funding total was verified; this is not evidence of zero funding.",
      "id": "ooak.claim.audit-ooak-funding",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/8/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "ooak.source.ooak-2"
      ],
      "statement": "YC Summer 2026 backing is confirmed; no company-specific funding total or valuation corroborated.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "ooak",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "ooak.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/8/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "ooak.source.ooak-2",
        "ooak.source.ooak-4"
      ],
      "statement": "Early specialized data-sourcing provider with strong but issuer-reported commercial signals: revenue well above seven figures and signed frontier-lab contracts in eight figures. Missing currencies, periods and recognition terms prevent treating these as ARR or recognized revenue; named buyer-side confirmation and delivery repeatability remain limited.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "The word Secondary in raw refers to Caplight as a source, not a secondary share sale. Exact close date remains unresolved; do not invent it.",
      "company_id": "terac",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "terac.claim.audit-terac-capital-type",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/9/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "terac.source.terac-1"
      ],
      "statement": "Id: terac.round.0. Capital type: equity. Announced on: undated. Status: announced",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "undated",
      "caveat": "Current company page, observed October 12, 2026. Separate team count from 160,000+ registered experts.",
      "company_id": "terac",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "terac.claim.audit-terac-size",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/9/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "terac.source.terac-1"
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      "statement": "Founded year: 2,025. Headcount: 16. Headcount as of: undated",
      "status": "supported",
      "subject": "company profile"
    },
    {
      "as_of": "undated",
      "caveat": "Current company page, observed October 12, 2026. Separate team count from 160,000+ registered experts.",
      "company_id": "terac",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "terac.claim.audit-terac-size-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/9/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "terac.source.terac-1"
      ],
      "statement": "Founded year: 2,025. Headcount: 16. Headcount as of: undated",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Not revenue, ARR or funding. 10,000+ expert-work hours and 500+ opportunities are additional delivery measures.",
      "company_id": "terac",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "terac.claim.audit-terac-payout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/9/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "terac.source.terac-1"
      ],
      "statement": "Id: terac.claim.growth_metrics-1.metric-0. Kind: other. Label: Cumulative expert payouts, above $2.5m. As of: undated. Gross vs net: unspecified",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Not revenue, ARR or funding. 10,000+ expert-work hours and 500+ opportunities are additional delivery measures.",
      "company_id": "terac",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "terac.claim.audit-terac-payout-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/9/findings/2",
      "segment_scope": "ai_data",
      "source_ids": [
        "terac.source.terac-1"
      ],
      "statement": "Id: terac.claim.growth_metrics-1.metric-0. Kind: other. Label: Cumulative expert payouts, above $2.5m. As of: undated. Gross vs net: unspecified",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "terac",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "terac.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/9/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "terac.source.terac-1"
      ],
      "statement": "Expert-task and AI-data marketplace with company-reported expert payouts, delivered work hours and opportunities, which are more concrete operating signals than registered-network size alone. The reviewed public sources do not establish revenue, take rate, named paying labs or repeat contract economics.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "2025-06-23",
      "caveat": "Founder narrative; distinguish co-founders, founding advisers, board members and project contributors.",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "founder-reported. Konwinski-authored organization launch essay supports his research and company-building background.",
      "date_note": "",
      "evidence_label": "founder-reported. Konwinski-authored organization launch essay supports his research and company-building background.",
      "id": "laude.claim.audit-laude-founder-background",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "laude.source.laude-1"
      ],
      "statement": "Andy Konwinski traces his UC Berkeley PhD work on Hadoop to Apache Spark and Databricks, and also identifies his work building Perplexity.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Konwinski’s page statement explicitly says deployed $4.1m across 25 teams, stronger than the existing $4m+ committed label. This is grantmaking outflow, not sales, funding received or proof the full $100m pledge is disbursed.",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Konwinski statement on the Laude Moonshots page describes grants deployed; self-reported grantmaking outflow rather than audited disbursements.",
      "date_note": "",
      "evidence_label": "issuer-reported. Konwinski statement on the Laude Moonshots page describes grants deployed; self-reported grantmaking outflow rather than audited disbursements.",
      "id": "laude.claim.audit-laude-deployed-grants",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/findings/1",
      "segment_scope": "research",
      "source_ids": [
        "laude.source.laude-5"
      ],
      "statement": "Label: Seed grants deployed. Value: 4,100,000. Currency: USD. Kind: other. Segment scope: research. As of: undated. Status: company_reported_disbursement",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Konwinski’s page statement explicitly says deployed $4.1m across 25 teams, stronger than the existing $4m+ committed label. This is grantmaking outflow, not sales, funding received or proof the full $100m pledge is disbursed.",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Konwinski statement on the Laude Moonshots page describes grants deployed; self-reported grantmaking outflow rather than audited disbursements.",
      "date_note": "",
      "evidence_label": "issuer-reported. Konwinski statement on the Laude Moonshots page describes grants deployed; self-reported grantmaking outflow rather than audited disbursements.",
      "id": "laude.claim.audit-laude-deployed-grants-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/findings/1",
      "segment_scope": "research",
      "source_ids": [
        "laude.source.laude-5"
      ],
      "statement": "Label: Seed grants deployed. Value: 4,100,000. Currency: USD. Kind: other. Segment scope: research. As of: undated. Status: company_reported_disbursement",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Existing raw says benchmark adoption, grants and task contribution, not sales. Split grants and adopters if possible. No commercial maturity score should be created.",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "research-adopter-confirmed. Anthropic confirms benchmark use in its own release; Terminal-Bench maintains its contributor list. These sources establish research adoption/contribution rather than payment.",
      "date_note": "",
      "evidence_label": "research-adopter-confirmed. Anthropic confirms benchmark use in its own release; Terminal-Bench maintains its contributor list. These sources establish research adoption/contribution rather than payment.",
      "id": "laude.claim.audit-laude-noncustomers",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "laude.source.laude-6",
        "laude.source.laude-4"
      ],
      "statement": "Id: laude.customer.0. Organization: Anthropic. Relationship: research_collaborator. Segment scope: research. Paid status: unknown; Id: laude.customer.1. Relationship: research_collaborator. Segment scope: research. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Existing raw says benchmark adoption, grants and task contribution, not sales. Split grants and adopters if possible. No commercial maturity score should be created.",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "research-adopter-confirmed. Anthropic confirms benchmark use in its own release; Terminal-Bench maintains its contributor list. These sources establish research adoption/contribution rather than payment.",
      "date_note": "",
      "evidence_label": "research-adopter-confirmed. Anthropic confirms benchmark use in its own release; Terminal-Bench maintains its contributor list. These sources establish research adoption/contribution rather than payment.",
      "id": "laude.claim.audit-laude-noncustomers-laude.customer.0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/findings/2",
      "segment_scope": "research",
      "source_ids": [
        "laude.source.laude-6",
        "laude.source.laude-4"
      ],
      "statement": "Id: laude.customer.0. Organization: Anthropic. Relationship: research_collaborator. Segment scope: research. Paid status: unknown; Id: laude.customer.1. Relationship: research_collaborator. Segment scope: research. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Existing raw says benchmark adoption, grants and task contribution, not sales. Split grants and adopters if possible. No commercial maturity score should be created.",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "research-adopter-confirmed. Anthropic confirms benchmark use in its own release; Terminal-Bench maintains its contributor list. These sources establish research adoption/contribution rather than payment.",
      "date_note": "",
      "evidence_label": "research-adopter-confirmed. Anthropic confirms benchmark use in its own release; Terminal-Bench maintains its contributor list. These sources establish research adoption/contribution rather than payment.",
      "id": "laude.claim.audit-laude-noncustomers-laude.customer.1",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/findings/2",
      "segment_scope": "research",
      "source_ids": [
        "laude.source.laude-6",
        "laude.source.laude-4"
      ],
      "statement": "Id: laude.customer.0. Organization: Anthropic. Relationship: research_collaborator. Segment scope: research. Paid status: unknown; Id: laude.customer.1. Relationship: research_collaborator. Segment scope: research. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2025-06-23",
      "caveat": "Funding event must read philanthropic pledge. Keep excluded from closed venture-equity sums; no funding_unknown card should hide the pledge.",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "issuer-reported-pledge. Founder announces a prospective philanthropic commitment. This is a pledge, not an audited transfer, realized revenue or closed venture round.",
      "date_note": "",
      "evidence_label": "issuer-reported-pledge. Founder announces a prospective philanthropic commitment. This is a pledge, not an audited transfer, realized revenue or closed venture round.",
      "id": "laude.claim.audit-laude-pledge",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "laude.source.laude-1"
      ],
      "statement": "Preserve Andy Konwinski’s $100m personal pledge separately from institutional research outlays and any Laude Ventures funds.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "laude",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "laude.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/10/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "laude.source.laude-1",
        "laude.source.laude-5",
        "laude.source.laude-6",
        "laude.source.laude-4"
      ],
      "statement": "Research institution and open infrastructure sponsor with credible benchmark adoption and company-reported grant deployment. Its research contribution is substantive, but grants, philanthropic pledges and benchmark users do not establish a commercial data-vendor business or justify a commercial maturity stage.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "Personal biography is undated; avoid asserting current third-year status as of October 2026. Relevant to research credentials, not commercial scale.",
      "company_id": "aixi",
      "confidence": "B",
      "confidence_reason": "founder-reported. Cole Wyeth personal professional biography; not independently verified academic records.",
      "date_note": "",
      "evidence_label": "founder-reported. Cole Wyeth personal professional biography; not independently verified academic records.",
      "id": "aixi.claim.audit-aixi-founder-background",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/11/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "aixi.source.audit-ac7fe51e51"
      ],
      "statement": "Cole Wyeth’s personal biography describes computer-science PhD research at Waterloo under Ming Li, advised by Marcus Hutter, focused on algorithmic information and sequential decision theory; he holds an MS in mathematics from Minnesota.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Keep project, fiscal sponsor and the mathematical AIXI model distinct. Hutter’s title does not prove co-founder status. Do not store unnecessary tax identifiers.",
      "company_id": "aixi",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "aixi.claim.audit-aixi-entity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/11/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "aixi.source.d_aix2"
      ],
      "statement": "AIXI Labs is a fiscally sponsored project of Principles of Intelligence, a Minnesota nonprofit; Cole Wyeth is founder/executive director, Marcus Hutter part-time research director, and Aram Ebtekar founding research scientist.",
      "status": "supported",
      "subject": "legal identity"
    },
    {
      "as_of": "undated",
      "caveat": "No commercial maturity stage; fellowship/research activity is not an expert-data marketplace.",
      "company_id": "aixi",
      "confidence": "B",
      "confidence_reason": "audit-assessment. No quantified financing or revenue identified in reviewed official materials. This negative search result does not establish zero funding or revenue.",
      "date_note": "",
      "evidence_label": "audit-assessment. No quantified financing or revenue identified in reviewed official materials. This negative search result does not establish zero funding or revenue.",
      "id": "aixi.claim.audit-aixi-financing",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/11/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "aixi.source.d_aix2"
      ],
      "statement": "No quantified philanthropic grant, venture round, revenue, ARR or valuation found in reviewed official team/opportunity materials.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "aixi",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "aixi.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/11/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "aixi.source.audit-ac7fe51e51",
        "aixi.source.d_aix2"
      ],
      "statement": "Nonprofit-sponsored research project focused on foundational intelligence research, with relevant academic leadership. No reviewed public evidence establishes a commercial expert-data marketplace, paying customers or revenue; assess its research role separately from commercial suppliers.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "2022-12-15",
      "caveat": "Company explicitly says closed/finalizes today. Later €3m grants remain distinct and are not venture equity.",
      "company_id": "giskard",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "giskard.claim.audit-giskard-round",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/12/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "giskard.source.audit-236742198e"
      ],
      "statement": "Id: giskard.round.0. Capital type: equity. Status: closed. Announced on: 2022-12-15. Closed on: 2022-12-15. Amount: 1,500,000. Currency: EUR",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2022-12-15",
      "caveat": "Named angels are individuals; do not imply their employers invested.",
      "company_id": "giskard",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "giskard.claim.audit-giskard-investors",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/12/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "giskard.source.audit-236742198e"
      ],
      "statement": "Round id: giskard.round.0. Lead: Elaia. Participants: Bessemer Venture Partners; Julien Chaumond; Oscar Salazar; Christine Balagué; Nathalie Gaveau; Charles Gorintin; Nick Hernandez; Vincent Huguet; Shéhérazade Semsar de Boisséson; Chris Schagen; Victor Coisne",
      "status": "supported",
      "subject": "investors"
    },
    {
      "as_of": "2022-12-15",
      "caveat": "Current canonical uses Andrey; keep Andrei as a source spelling/alias rather than creating another person.",
      "company_id": "giskard",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "giskard.claim.audit-giskard-founders",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/12/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "giskard.source.audit-236742198e"
      ],
      "statement": "The original three founders, Alex Combessie, Jean-Marie John-Mathews and Andrei Avtomonov, previously built business-critical AI systems at Dataiku and Thales.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Google DeepMind collaboration and EIC/Bpifrance support are research/funding relationships, not evidence of paying software customers. Split grantors from collaborators if the UI supports it.",
      "company_id": "giskard",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "giskard.claim.audit-giskard-partners-not-customers",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/12/findings/3",
      "segment_scope": "research",
      "source_ids": [
        "giskard.source.d_gis3"
      ],
      "statement": "Id: giskard.customer.1. Relationship: research_collaborator. Segment scope: research. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Product is enterprise evaluation/security software and services. Revenue and contract amounts remain undisclosed; named quotes are supplier-hosted B evidence.",
      "company_id": "giskard",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Issuer product/pricing description and supplier-hosted named customer testimony; no independent buyer-published contract values or audited revenue.",
      "date_note": "",
      "evidence_label": "issuer-reported. Issuer product/pricing description and supplier-hosted named customer testimony; no independent buyer-published contract values or audited revenue.",
      "id": "giskard.claim.audit-giskard-paid-software",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/12/findings/4",
      "segment_scope": "company",
      "source_ids": [
        "giskard.source.d_gis1"
      ],
      "statement": "The company describes enterprise Hub subscriptions with optional security consulting and on-premises deployment support. Current case testimony names Michelin, BNP Paribas and Decathlon.",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "giskard",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "giskard.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/12/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "giskard.source.audit-236742198e",
        "giskard.source.d_gis3",
        "giskard.source.d_gis1"
      ],
      "statement": "Enterprise AI evaluation and security software/services vendor with named enterprise testimony and a defined subscription offering. Public evidence supports commercial product use, but supplier-hosted cases and undisclosed financials do not establish recurring-revenue scale, contract values or retention.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "Both company announcements describe completed raises. Exact close dates unknown; seed webpage metadata is Dec 3 but release body Dec 4. Preston-Werner Ventures is named in PDF headline, Tom individually in body; roles preserved without counting capital twice.",
      "company_id": "alinia",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Company-issued financing announcements, including the public newswire PDF; issuer reports completed raises, not audited accounts.",
      "date_note": "",
      "evidence_label": "issuer-reported. Company-issued financing announcements, including the public newswire PDF; issuer reports completed raises, not audited accounts.",
      "id": "alinia.claim.audit-alinia-rounds",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/13/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "alinia.source.audit-ef38c4e00b",
        "alinia.source.d_ali4"
      ],
      "statement": "Id: alinia.round.0. Amount: 2,400,000. Currency: USD. Capital type: equity. Status: closed. Announced on: 2024-06-05. Lead investors: Speedinvest; Precursor Ventures. Other investors: K Fund; Preston-Werner Ventures; Clément Delangue; Thomas Wolf; Tom Preston-Werner; Xavier Amatriain; Oriol Vinyals; Id: alinia.round.1. Amount: 7,500,000. Currency: USD. Capital type: equity. Status: closed. Announced on: 2025-12-04. Lead investors: Mouro Capital. Other investors: Raise Seed For Good; Speedinvest; Precursor Ventures",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "undated",
      "caveat": "Current company biographies; expand existing short employer mentions rather than duplicate people.",
      "company_id": "alinia",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "id": "alinia.claim.audit-alinia-founder-detail",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
      "raw_pointer": "/profiles/13/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "alinia.source.d_ali2"
      ],
      "statement": "Name: Ariadna Font Llitjós. Background: Former Head of ML Platform at Twitter and Director of Development at IBM Watson; Carnegie Mellon NLP PhD.; Name: Carlos Muñoz Ferrandis. Background: Former Hugging Face AI counsel; Max Planck open-source/standards PhD and former OECD AI external adviser.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "2026-10-01",
      "caveat": "Internal performance/development claims; no independent performance guarantee, no grant amount and no commercial revenue inference.",
      "company_id": "alinia",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Issuer model-release announcement reports technical measurements and grant-supported work; no independent replication or quantified grant award.",
      "date_note": "",
      "evidence_label": "issuer-reported. Issuer model-release announcement reports technical measurements and grant-supported work; no independent replication or quantified grant award.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
        "alinia.source.d_ali5"
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      "statement": "Seny is a 4B legal-alignment base model; the October 1 release reports median judge latency of 151ms and legal engineers adapting judges in hours. The work was supported by a EuroHPC AI Factory grant at Barcelona Supercomputing Center.",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "2026-10-01",
      "caveat": "Compute/grant support does not establish a paying client.",
      "company_id": "alinia",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "research",
      "source_ids": [
        "alinia.source.d_ali5"
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      "statement": "Id: alinia.customer.1. Organization: Barcelona Supercomputing Center / EuroHPC AI Factory. Relationship: research_collaborator. Segment scope: research. Paid status: unknown",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2025-12-04",
      "caveat": "Do not mislabel this arithmetic total as a separately company-reported lifetime amount; do not blanket-erase funding because revenue is unknown.",
      "company_id": "alinia",
      "confidence": "B",
      "confidence_reason": "analyst-calculated. Audit arithmetic adds the two issuer-reported financings ($2.4m plus $7.5m); $9.9m is not a separately verified issuer-reported lifetime total.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Id: alinia.claim.total_funding.metric-0. Kind: funding_total_calculated. Value: 9,900,000. Currency: USD. As of: 2025-12-04. Segment scope: company",
      "status": "supported",
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    },
    {
      "as_of": "2025-12-04",
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      "company_id": "alinia",
      "confidence": "B",
      "confidence_reason": "analyst-calculated. Audit arithmetic adds the two issuer-reported financings ($2.4m plus $7.5m); $9.9m is not a separately verified issuer-reported lifetime total.",
      "date_note": "",
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    {
      "as_of": "2026-10-12",
      "caveat": "",
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      "statement": "Enterprise AI alignment and compliance tooling vendor with named supplier-hosted customer testimony and concrete model/product delivery. Funding and grant-supported research strengthen execution capacity, but disclosed evidence does not establish revenue scale, contract economics or recurring customer retention.",
      "status": "supported",
      "subject": "editorial readout"
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    {
      "as_of": "2023-11-26",
      "caveat": "Supplier-hosted customer interview discusses trial, pricing, outsourcing and implemented delivery. Not just a logo; payment is indicated without disclosed invoice amount. Interview occurred July 2023.",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "supplier-hosted-customer-testimonial. Named customer interview hosted by APTO discusses pricing, outsourcing and deployment; payment/production classifications are audit inferences from the interview, without invoice disclosure.",
      "date_note": "",
      "evidence_label": "supplier-hosted-customer-testimonial. Named customer interview hosted by APTO discusses pricing, outsourcing and deployment; payment/production classifications are audit inferences from the interview, without invoice disclosure.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Id: apto.customer.0. Organization: Micro Control Systems. Relationship: claimed_customer. Disclosure: company_named. Paid status: paid. Production status: production",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2023-11-26",
      "caveat": "Supplier-hosted customer interview discusses trial, pricing, outsourcing and implemented delivery. Not just a logo; payment is indicated without disclosed invoice amount. Interview occurred July 2023.",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "supplier-hosted-customer-testimonial. Named customer interview hosted by APTO discusses pricing, outsourcing and deployment; payment/production classifications are audit inferences from the interview, without invoice disclosure.",
      "date_note": "",
      "evidence_label": "supplier-hosted-customer-testimonial. Named customer interview hosted by APTO discusses pricing, outsourcing and deployment; payment/production classifications are audit inferences from the interview, without invoice disclosure.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "ai_data",
      "source_ids": [
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      "statement": "Id: apto.customer.0. Organization: Micro Control Systems. Relationship: claimed_customer. Disclosure: company_named. Paid status: paid. Production status: production",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2023-11-26",
      "caveat": "Customer-reported outcome in July-2023 interview. Percent versus percentage-point basis is not fully specified; preserve wording and avoid generalized performance claims.",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "supplier-hosted-customer-testimonial. Micro Control Systems reports outcomes in an APTO-hosted interview; not a buyer-published or independently replicated performance study.",
      "date_note": "",
      "evidence_label": "supplier-hosted-customer-testimonial. Micro Control Systems reports outcomes in an APTO-hosted interview; not a buyer-published or independently replicated performance study.",
      "id": "apto.claim.audit-apto-case-outcome",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Micro Control Systems reports roughly 15% improvement in recognition accuracy, 20–30% for difficult signal-light patterns, and later over-90% recognition in its factory visualization system.",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2026-01-09",
      "caveat": "Lead-investor interview, not independently verified CV.",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "founder-reported. Founder biography/interview published by investor MSIVC; investor-hosted professional account, not independently checked employment records.",
      "date_note": "",
      "evidence_label": "founder-reported. Founder biography/interview published by investor MSIVC; investor-hosted professional account, not independently checked employment records.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Ryo Takashina studied industrial engineering, worked in infrastructure/backend development and IT consulting, founded VR-content business vLab in 2017, then APTO in 2020.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "undated",
      "caveat": "Dated company timeline. Stronger operating signal than saying physical-AI is merely an aspiration.",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Company chronology records opening a physical-AI data-collection site in Toyosu in June 2026, following harBest Expert beta in March 2025 and physical-AI data work from October 2025.",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Investor list should not be lost just because no dollar total exists. MSIVC separately confirms first 2020 investment plus four subsequent lead investments; do not fabricate check sizes.",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "issuer-reported. APTO issuer company page lists backers; round allocation and check sizes are not disclosed.",
      "date_note": "",
      "evidence_label": "issuer-reported. APTO issuer company page lists backers; round allocation and check sizes are not disclosed.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Names: Mitsui Sumitomo Insurance Venture Capital; ANOBAKA; Gree Ventures; NTVP; Kazutaka Muraguchi; Canal Ventures. Allocation: Company-level backers; individual round amounts unallocated",
      "status": "supported",
      "subject": "investors"
    },
    {
      "as_of": "2026-01-09",
      "caveat": "Exclude unrelated US Apto CRM / Aptos cryptocurrency figures. Five investor participations do not imply five equal rounds or any total.",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "investor-reported. MSIVC describes its investment history. Missing amounts and no newly verified financial total are audit conclusions, not a claim that no other funding exists.",
      "date_note": "",
      "evidence_label": "investor-reported. MSIVC describes its investment history. Missing amounts and no newly verified financial total are audit conclusions, not a claim that no other funding exists.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "No verified round amounts, valuation, revenue or profitability figure found; known institutional backing and the January-2021 pre-Series-A completion remain valid.",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "apto",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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        "apto.source.d_apt1"
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      "statement": "Japanese training-data and annotation supplier with a detailed named customer interview documenting paid outsourcing, production use and reported outcomes. This is solid project-delivery evidence; its newer physical-AI collection site expands the offering, while revenue scale and repeat commercial adoption of that newer product remain undisclosed.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "2026-06-11",
      "caveat": "Raw row is a disclaimer that no standalone TrainAI funding is disclosed. It is not an announced debt financing. Keep as entity/funding-status prose.",
      "company_id": "rws_trainai",
      "confidence": "A",
      "confidence_reason": "audit-assessment. Record-level classification correction after reviewing the issuer’s regulatory interim financial report; no distinct TrainAI financing event is established.",
      "date_note": "",
      "evidence_label": "audit-assessment. Record-level classification correction after reviewing the issuer’s regulatory interim financial report; no distinct TrainAI financing event is established.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Id: rws_trainai.round.0. Retain claim: Yes",
      "status": "supported",
      "subject": "funding status"
    },
    {
      "as_of": "undated",
      "caveat": "Business-line executive, not TrainAI startup founder.",
      "company_id": "rws_trainai",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Vasagi Kothandapani is CEO of TrainAI within RWS’s Generate segment, with responsibility for the division’s P&L, growth and innovation.",
      "status": "supported",
      "subject": "leadership"
    },
    {
      "as_of": "2026-06-11",
      "caveat": "Do not set whole profile financials to unknown because standalone TrainAI revenue is undisclosed; no newer official financial disclosure found in targeted search.",
      "company_id": "rws_trainai",
      "confidence": "A",
      "confidence_reason": "regulatory-reporting-unaudited. RWS issuer-published half-year report for the six months ended 31 March 2026. Interim statements are explicitly unaudited; no standalone TrainAI revenue is disclosed.",
      "date_note": "",
      "evidence_label": "regulatory-reporting-unaudited. RWS issuer-published half-year report for the six months ended 31 March 2026. Interim statements are explicitly unaudited; no standalone TrainAI revenue is disclosed.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "source_ids": [
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      "statement": "Retain H1 FY2026 group revenue £360.3m and Generate revenue £99.4m as actual six-month figures; Generate includes both TrainAI and Content Technology.",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Professional company biography; omit unrelated personal family information.",
      "company_id": "rws_trainai",
      "confidence": "B",
      "confidence_reason": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
      "date_note": "",
      "evidence_label": "issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently audited.",
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      "raw_path": "data/raw/final-core/adjacent-profiles-audit.json",
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      "source_ids": [
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      "statement": "TrainAI CEO Vasagi Kothandapani previously led a major global AI-data-services portfolio at Appen and held senior roles at Cognizant and CoreLogic.",
      "status": "supported",
      "subject": "leadership"
    },
    {
      "as_of": "2026-06-11",
      "caveat": "This supports the warning against treating data-services revenue as SaaS economics. It does not disclose a standalone TrainAI margin.",
      "company_id": "rws_trainai",
      "confidence": "A",
      "confidence_reason": "regulatory-reporting-unaudited. Unaudited RWS H1 FY2026 reporting and management commentary supply group margin and mix explanation; no separate TrainAI margin is given.",
      "date_note": "",
      "evidence_label": "regulatory-reporting-unaudited. Unaudited RWS H1 FY2026 reporting and management commentary supply group margin and mix explanation; no separate TrainAI margin is given.",
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      "statement": "H1 FY2026 group gross margin was 41.6%, down 1.7 percentage points. The filing attributes the mix effect partly to faster growth in lower-margin TrainAI work.",
      "status": "supported",
      "subject": "growth metrics"
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    {
      "as_of": "2026-10-12",
      "caveat": "",
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      "confidence": "B",
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      "statement": "Established AI-data services operation inside a listed, diversified language and technology group, with issuer regulatory reporting describing actual TrainAI growth and client work. Group and Generate-segment financials are substantive commercial evidence, but cannot be assigned wholly to TrainAI or used to infer standalone data-services revenue or margins.",
      "status": "supported",
      "subject": "editorial readout"
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      "evidence_label": "Founder-reported in investor interview",
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      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/rl-specialists-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Proximal has three co-founders: Calvin Chen, Justus Mattern and Navid Pour. Chen explicitly identifies Justus and Navid as his co-founders in an investor-hosted interview.",
      "status": "supported",
      "subject": "founders"
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      "as_of": "undated",
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      "confidence": "B",
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      "raw_path": "data/raw/final-core/rl-specialists-audit.json",
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      "segment_scope": "company",
      "source_ids": [
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      "statement": "Navid Pour says he was Cursor's second engineer before Proximal.",
      "status": "supported",
      "subject": "founder_background"
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    {
      "as_of": "2026-08-06",
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      "confidence": "A",
      "confidence_reason": "Named counterparty confirms substantive joint benchmark work",
      "evidence_label": "Counterparty-confirmed research collaboration",
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      "raw_path": "data/raw/final-core/rl-specialists-audit.json",
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      "segment_scope": "ai_data",
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      "statement": "Snowflake AI Research identifies data-eng-bench as joint work with Bespoke Labs. This is buyer-side research-collaboration evidence; no purchase amount or payment is disclosed.",
      "status": "supported",
      "subject": "customers"
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    {
      "as_of": "2025-10-09",
      "company_id": "datacurve",
      "confidence": "B",
      "confidence_reason": "Dated lead-investor announcement; counterparties unnamed",
      "evidence_label": "Investor-reported signed commercial contracts",
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      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/rl-specialists-audit.json",
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      "source_ids": [
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      "statement": "Chemistry reported signed multimillion-dollar contracts with leading AI labs and a largest-to-date seven-figure deal with an unnamed major company. This establishes dated investor-reported commercial traction, not audited recognized revenue.",
      "status": "supported",
      "subject": "customers"
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      "as_of": "2025-10-09",
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      "confidence": "B",
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      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/rl-specialists-audit.json",
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      "source_ids": [
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      "confidence_reason": "company reported",
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    {
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      "statement": "Talent-cloud network: 4,000,000 people. Period: 2025-03-06.",
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    {
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/7/unknowns/0",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "No audited private-company accounts reviewed; FY2024 revenue is company-reported.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "invisible",
      "confidence": "U",
      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
      "id": "invisible.claim.major-unknowns-1",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/7/unknowns/1",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "Exact original founding team and chronology of later co-founder titles.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "invisible",
      "confidence": "U",
      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
      "id": "invisible.claim.major-unknowns-2",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/7/unknowns/2",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "Complete reconciliation of $144M cumulative funding, early rounds, debt and shareholder repurchases.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "invisible",
      "confidence": "U",
      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
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      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/7/unknowns/3",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "FY2025/FY2026 realized revenue and share attributable specifically to AI-data services.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "undated",
      "caveat": "",
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      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
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      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/7/unknowns/4",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "WeCP acquisition closing not independently verified.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
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      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "invisible.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/7/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "invisible.source.audit-inv_round",
        "invisible.source.audit-inv_letter",
        "invisible.source.audit-inv_about",
        "invisible.source.audit-inv_seed",
        "invisible.source.audit-inv_seed_company",
        "invisible.source.audit-inv_2019",
        "invisible.source.audit-inv_greycroft",
        "invisible.source.audit-inv_forbes",
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        "invisible.source.audit-inv_cohere",
        "invisible.source.audit-inv_wecp",
        "invisible.source.audit-inv_valuation",
        "invisible.source.audit-inv_cohere_report"
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      "statement": "Invisible has a meaningful revenue business rather than only a talent network: the company disclosed $134M of FY2024 sales, and a detailed Cohere case describes expert evaluation work. Its opportunity spans model development and enterprise automation, making it broader than a labeling vendor. The analytical trap is to treat all its activity like recurring software revenue or all ownership transactions like startup funding. Its operating model combines people, processes and software; debt-funded buybacks and secondary transfers are distinct from the $100M announced primary financing. Current-year growth, revenue mix, gross margins and concentration still need disclosure before assuming SaaS-like economics or extrapolating its historical expansion.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "toloka",
      "confidence": "B",
      "confidence_reason": "company reported",
      "date_note": "",
      "evidence_label": "company reported",
      "id": "toloka.claim.major-category-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/category",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_about",
        "toloka.source.audit-tol_platform"
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      "statement": "Expert human data, model evaluation and post-training infrastructure",
      "status": "supported",
      "subject": "category"
    },
    {
      "as_of": "undated",
      "caveat": "Historical Toloka origins must be distinguished from Toloka Group, Inc., the Delaware issuer incorporated in 2025.",
      "company_id": "toloka",
      "confidence": "B",
      "confidence_reason": "primary confirmed",
      "date_note": "",
      "evidence_label": "primary confirmed",
      "id": "toloka.claim.major-founding_year-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/founding_year",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_about"
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      "statement": "founding year: 2,014.",
      "status": "supported",
      "subject": "founding year"
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    {
      "as_of": "2025-05-16",
      "caveat": "",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "primary confirmed",
      "date_note": "",
      "evidence_label": "primary confirmed",
      "id": "toloka.claim.major-legal_identity-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/legal_identity",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_formd"
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      "statement": "Toloka Group, Inc.",
      "status": "supported",
      "subject": "legal identity"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "toloka",
      "confidence": "B",
      "confidence_reason": "primary confirmed",
      "date_note": "",
      "evidence_label": "primary confirmed",
      "id": "toloka.claim.major-founders-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/founders",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_about",
        "toloka.source.audit-tol_invest"
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      "statement": "Olga Megorskaya",
      "status": "supported",
      "subject": "founders"
    },
    {
      "as_of": "2026-01-19",
      "caveat": "",
      "company_id": "toloka",
      "confidence": "B",
      "confidence_reason": "company reported",
      "date_note": "",
      "evidence_label": "company reported",
      "id": "toloka.claim.major-products-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/products",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_platform",
        "toloka.source.audit-tol_shopify"
      ],
      "statement": "Expert-authored and annotated datasets for model training; Human evaluation, reasoning/coding and agentic trajectory data; Self-service platform with AI-assisted workflow design, expert selection and evaluation pipelines",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Buyer workflow outcome and cost savings belong to the full Shopify system; do not attribute all improvement to Toloka alone.",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "Direct buyer-side disclosure in the final audit; payment and completed deployment remain separate questions.",
      "date_note": "",
      "evidence_label": "buyer confirmed current production use",
      "id": "toloka.claim.major-customers-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/customers/0",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_shopify"
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      "statement": "Shopify. Shopify engineering explains how Toloka experts repair conversations automatic critics cannot fix and score them for Sidekick’s continuing supervised and reinforcement-learning pipeline.",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "toloka",
      "confidence": "B",
      "confidence_reason": "supplier named customers",
      "date_note": "",
      "evidence_label": "supplier named customers",
      "id": "toloka.claim.major-customers-1",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/customers/1",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_invest"
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      "statement": "Anthropic; Amazon; Microsoft; poolside; Recraft. Named by Toloka in its investment announcement; no separate buyer-side confirmation reviewed for these names.",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2025-05-07",
      "caveat": "Form D reports $72M sold to three investors; $90M is offering size, not verified proceeds. Nebius separately discloses $39M cash participation in the transaction; do not add it to $72M without reconciliation. Mikhail Parakhin is individually named, not Shopify as an investor.",
      "company_id": "toloka",
      "confidence": "B",
      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
      "id": "toloka.claim.major-funding_rounds-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/funding_rounds/0",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_invest",
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      "statement": "Strategic equity investment. USD 72,000,000. announced 2025-05-07. Lead investors: Bezos Expeditions. Other investors: Mikhail Parakhin, Nebius Group.",
      "status": "supported",
      "subject": "funding rounds"
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    {
      "as_of": "2025-05-16",
      "caveat": "Legacy parent financing is not reconstructed. No verified final sale of the remaining $18M or subsequent larger round located. verified_external_equity_offering_amount_sold_not_lifetime_total",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "regulatory filing",
      "date_note": "",
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/total_funding",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Form D reports $72M sold from a $90M offering, with $18M unsold, as of May 16, 2025. Lifetime funding is not established.",
      "status": "supported",
      "subject": "offering proceeds"
    },
    {
      "as_of": "2025-05-16",
      "caveat": "Legacy parent financing is not reconstructed. No verified final sale of the remaining $18M or subsequent larger round located. verified_external_equity_offering_amount_sold_not_lifetime_total",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "regulatory filing",
      "date_note": "",
      "evidence_label": "regulatory filing",
      "id": "toloka.claim.major-total_funding-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/total_funding",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_formd"
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      "statement": "Form D reports $72M sold from a $90M offering, with $18M unsold, as of May 16, 2025. Lifetime funding is not established.",
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      "subject": "offering proceeds"
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    {
      "as_of": "undated",
      "caveat": "Nebius retained-interest fair value of $130.6M and preferred-stock basis of $97M are accounting measurements, not Toloka enterprise or post-money valuation.",
      "company_id": "toloka",
      "confidence": "U",
      "confidence_reason": "not disclosed",
      "date_note": "",
      "evidence_label": "not disclosed",
      "id": "toloka.claim.major-valuation-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/valuation",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_2025"
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      "statement": "Nebius retained-interest fair value of $130.6M and preferred-stock basis of $97M are accounting measurements, not Toloka enterprise or post-money valuation.",
      "status": "unverified",
      "subject": "valuation"
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    {
      "as_of": "FY2022",
      "caveat": "",
      "company_id": "toloka",
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      "confidence_reason": "audited parent segment disclosure",
      "date_note": "",
      "evidence_label": "audited parent segment disclosure",
      "id": "toloka.claim.major-financial_metrics-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/0",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Revenue: 10,500,000 USD. Period: FY2022.",
      "status": "supported",
      "subject": "financial metrics"
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    {
      "as_of": "FY2022",
      "caveat": "",
      "company_id": "toloka",
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      "confidence_reason": "audited parent segment disclosure",
      "date_note": "",
      "evidence_label": "audited parent segment disclosure",
      "id": "toloka.claim.major-financial_metrics-0-metric",
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/0",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_2024"
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      "statement": "Revenue: 10,500,000 USD. Period: FY2022.",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "FY2023",
      "caveat": "",
      "company_id": "toloka",
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      "confidence_reason": "audited parent disclosure",
      "date_note": "",
      "evidence_label": "audited parent disclosure",
      "id": "toloka.claim.major-financial_metrics-1",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/1",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_2024",
        "toloka.source.audit-tol_2025"
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      "statement": "Revenue: 11,100,000 USD. Period: FY2023.",
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      "subject": "financial metrics"
    },
    {
      "as_of": "FY2023",
      "caveat": "",
      "company_id": "toloka",
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      "confidence_reason": "audited parent disclosure",
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      "evidence_label": "audited parent disclosure",
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/1",
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      "source_ids": [
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      "statement": "Revenue: 11,100,000 USD. Period: FY2023.",
      "status": "supported",
      "subject": "growth metrics"
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    {
      "as_of": "FY2024",
      "caveat": "Latest FY2025 20-F comparative discontinued-operations presentation. Earlier FY2024 report showed $26.4M as segment revenue; keep both with basis labels.",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "audited parent disclosure",
      "date_note": "",
      "evidence_label": "audited parent disclosure",
      "id": "toloka.claim.major-financial_metrics-2",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/2",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Revenue: 26,100,000 USD. Period: FY2024.",
      "status": "supported",
      "subject": "financial metrics"
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    {
      "as_of": "FY2024",
      "caveat": "Latest FY2025 20-F comparative discontinued-operations presentation. Earlier FY2024 report showed $26.4M as segment revenue; keep both with basis labels.",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "audited parent disclosure",
      "date_note": "",
      "evidence_label": "audited parent disclosure",
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/2",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Revenue: 26,100,000 USD. Period: FY2024.",
      "status": "supported",
      "subject": "growth metrics"
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    {
      "as_of": "FY2024",
      "caveat": "Original segment basis; do not silently replace with $26.1M without explaining the presentation difference.",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "audited parent segment disclosure",
      "date_note": "",
      "evidence_label": "audited parent segment disclosure",
      "id": "toloka.claim.major-financial_metrics-3",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/3",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Revenue: 26,400,000 USD. Period: FY2024.",
      "status": "supported",
      "subject": "financial metrics"
    },
    {
      "as_of": "FY2024",
      "caveat": "Original segment basis; do not silently replace with $26.1M without explaining the presentation difference.",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "audited parent segment disclosure",
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      "evidence_label": "audited parent segment disclosure",
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/3",
      "segment_scope": "company",
      "source_ids": [
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      "statement": "Revenue: 26,400,000 USD. Period: FY2024.",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2025 pre-deconsolidation period through May 2",
      "caveat": "Not FY2025 revenue and not a full six-month revenue result; business was removed from consolidation in May.",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "parent regulatory disclosure",
      "date_note": "",
      "evidence_label": "parent regulatory disclosure",
      "id": "toloka.claim.major-financial_metrics-4",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/4",
      "segment_scope": "company",
      "source_ids": [
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        "toloka.source.audit-tol_h1_2026"
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      "statement": "Revenue: 6,400,000 USD. Period: 2025 pre-deconsolidation period through May 2.",
      "status": "supported",
      "subject": "financial metrics"
    },
    {
      "as_of": "2025 pre-deconsolidation period through May 2",
      "caveat": "Not FY2025 revenue and not a full six-month revenue result; business was removed from consolidation in May.",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "parent regulatory disclosure",
      "date_note": "",
      "evidence_label": "parent regulatory disclosure",
      "id": "toloka.claim.major-financial_metrics-4-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/4",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_2025",
        "toloka.source.audit-tol_h1_2026"
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      "statement": "Revenue: 6,400,000 USD. Period: 2025 pre-deconsolidation period through May 2.",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "FY2024",
      "caveat": "",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "parent segment non gaap",
      "date_note": "",
      "evidence_label": "parent segment non gaap",
      "id": "toloka.claim.major-financial_metrics-5",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/8/financial_metrics/5",
      "segment_scope": "company",
      "source_ids": [
        "toloka.source.audit-tol_2024"
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      "statement": "Adjusted EBITDA: -40,100,000 USD. Period: FY2024.",
      "status": "supported",
      "subject": "financial metrics"
    },
    {
      "as_of": "FY2024",
      "caveat": "",
      "company_id": "toloka",
      "confidence": "A",
      "confidence_reason": "parent segment non gaap",
      "date_note": "",
      "evidence_label": "parent segment non gaap",
      "id": "toloka.claim.major-financial_metrics-5-metric",
      "observed_on": "2026-10-12",
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      "segment_scope": "company",
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    {
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      "caveat": "",
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
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    },
    {
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      "caveat": "",
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      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
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      "segment_scope": "company",
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      "caveat": "",
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      "caveat": "",
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      "id": "appen.claim.major-unknowns-0",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/9/unknowns/0",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "No verified full-year FY2026 outcome as of audit; $270–300M remains guidance.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "appen",
      "confidence": "U",
      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
      "id": "appen.claim.major-unknowns-1",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/9/unknowns/1",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "Current named largest customers and customer-level revenue are not disclosed in reviewed results.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "appen",
      "confidence": "U",
      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
      "id": "appen.claim.major-unknowns-2",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/9/unknowns/2",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "No live public-market valuation fetched; historical IPO market capitalization is not current.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "appen",
      "confidence": "U",
      "confidence_reason": "Attributed public statement",
      "date_note": "",
      "evidence_label": "Attributed public statement",
      "id": "appen.claim.major-unknowns-3",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/9/unknowns/3",
      "segment_scope": "company",
      "source_ids": [],
      "statement": "Public revenue includes delivered services and associated labor economics, so do not equate it with software subscription ARR.",
      "status": "unverified",
      "subject": "unknowns"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "appen",
      "confidence": "B",
      "confidence_reason": "Researcher synthesis from cited public evidence",
      "date_note": "",
      "evidence_label": "Researcher synthesis from cited public evidence",
      "id": "appen.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/major-audit/major-ten-corrections.json",
      "raw_pointer": "/companies/9/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "appen.source.audit-ap_founders",
        "appen.source.audit-ap_about",
        "appen.source.audit-ap_anacacia",
        "appen.source.audit-ap_ipo",
        "appen.source.audit-ap_2017",
        "appen.source.audit-ap_2019p",
        "appen.source.audit-ap_2019s",
        "appen.source.audit-ap_2023",
        "appen.source.audit-ap_2024",
        "appen.source.audit-ap_2025",
        "appen.source.audit-ap_h1_2026",
        "appen.source.audit-ap_h1_release",
        "appen.source.audit-ap_q2_2026",
        "appen.source.audit-ap_cohere",
        "appen.source.audit-ap_airbus",
        "appen.source.audit-ap_aws",
        "appen.source.audit-ap_genai"
      ],
      "statement": "Appen is the most financially transparent of these four and should be assessed as a listed operating-business turnaround. Its latest reviewed half-year shows renewed aggregate growth, but the geography matters: rapid China expansion offsets a shrinking Global segment. It supplies genuine GenAI training and evaluation work and has established delivery infrastructure, yet revenue remains concentrated and positive adjusted EBITDA does not mean statutory profitability. Its historical Google relationship must not be shown as current. Compare its disclosed service revenue with other companies on a like-for-like basis; fundraising, ARR estimates and annualized monthly run rates are poor substitutes for Appen’s actual reported sales.",
      "status": "supported",
      "subject": "editorial readout"
    },
    {
      "as_of": "2026-08-03",
      "caveat": "",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "Issuer-reported history; regulatory and acquirer-confirmed ownership",
      "date_note": "",
      "evidence_label": "Issuer-reported history; regulatory and acquirer-confirmed ownership",
      "id": "imerit.claim.identity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-about",
        "imerit.source.audit-im-8k",
        "imerit.source.audit-im-close"
      ],
      "statement": "Name: iMerit. Legal name: I Merit Inc.. Founded year: 2,012. Website: https://imerit.ai/. Ownership status: Acquired; wholly owned within EXL group. Parent: ExlService Holdings, Inc.. Parent ticker: NASDAQ: EXLS",
      "status": "supported",
      "subject": "legal identity"
    },
    {
      "as_of": "2026-08-03",
      "caveat": "Founding year is the company narrative, not necessarily incorporation date of every local subsidiary. EXL is publicly traded; iMerit is not separately listed.",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "Issuer-reported history; regulatory and acquirer-confirmed ownership",
      "date_note": "",
      "evidence_label": "Issuer-reported history; regulatory and acquirer-confirmed ownership",
      "id": "imerit.claim.expansion-imerit-identity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-about",
        "imerit.source.audit-im-8k",
        "imerit.source.audit-im-close"
      ],
      "statement": "Established 2012; now an EXL business. Name: iMerit. Legal name: I Merit Inc.. Founded year: 2,012. Website: https://imerit.ai/. Ownership status: Acquired; wholly owned within EXL group. Parent: ExlService Holdings, Inc.. Parent ticker: NASDAQ: EXLS",
      "status": "supported",
      "subject": "legal identity"
    },
    {
      "as_of": "2026-08-03",
      "caveat": "Official sources identify Radha as founder. Do not infer that every early executive or Anudip co-founder is an iMerit co-founder.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer biography; acquirer-confirmed appointment",
      "date_note": "",
      "evidence_label": "Issuer biography; acquirer-confirmed appointment",
      "id": "imerit.claim.expansion-imerit-founder",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-about",
        "imerit.source.audit-im-close"
      ],
      "statement": "Radha Ramaswami Basu. Name: Radha Ramaswami Basu. Professional history: Spent 20 years at HP, ultimately leading Enterprise Solutions; then led Support.com through its IPO; co-founded Anudip Foundation with Dipak Basu in 2007; founded iMerit in 2012.. Current role: EXL Executive Vice President, Head of iMerit; EXL executive committee member from acquisition completion.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "1974",
      "caveat": "",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "University-confirmed credential",
      "date_note": "",
      "evidence_label": "University-confirmed credential",
      "id": "imerit.claim.expansion-imerit-founder-education",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-usc"
      ],
      "statement": "USC engineering background. Name: Radha Ramaswami Basu. Degree: M.S. electrical/computer engineering. Institution: University of Southern California. Year: 1,974",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "2015-10-21",
      "caveat": "The original announcement says funding, without specifying a Series A suffix. Do not invent investor check sizes.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-reported financing announcement",
      "date_note": "",
      "evidence_label": "Issuer-reported financing announcement",
      "id": "imerit.claim.expansion-imerit-2015-round",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-2015"
      ],
      "statement": "$3.5m financing, October 2015. Amount: 3,500,000. Currency: USD. Round label: Funding round (commonly labeled Series A). Capital type: venture_financing. Announced on: 2015-10-21. Investors: Michael and Susan Dell Foundation; Khosla Impact; Omidyar Network",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2020-02-18",
      "caveat": "Announcement date differs from BII Investment 01 start month, December 2019. BII’s $18m is part of this $20m round, not another round.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-reported Series B announcement",
      "date_note": "",
      "evidence_label": "Issuer-reported Series B announcement",
      "id": "imerit.claim.expansion-imerit-2020-round",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/4",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-2020"
      ],
      "statement": "$20m Series B, February 2020. Amount: 20,000,000. Currency: USD. Round label: Series B. Capital type: equity. Announced on: 2020-02-18. Lead investor: CDC Group (now British International Investment). Participants: Existing investors; initial investors named as Omidyar Network, Michael and Susan Dell Foundation, Khosla Impact",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2021-11",
      "caveat": "BII database as updated March 2025. The $12.8m is a commitment, not proof that every dollar was drawn. BII’s rounded $31m cumulative commitment is not an additional financing.",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "Investor-disclosed commitments",
      "date_note": "",
      "evidence_label": "Investor-disclosed commitments",
      "id": "imerit.claim.expansion-imerit-bii-history",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/5",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-bii",
        "imerit.source.audit-im-bii-india"
      ],
      "statement": "BII initial investment and follow-on. Investor: British International Investment (formerly CDC Group). Investment 01: Amount: 18,000,000. Currency: USD. Instrument: equity. Start month: 2019-12. Treatment: Included in $20m Series B. Investment 02: Amount: 12,800,000. Currency: USD. Instrument: not established from accessible second-record details. Start month: 2021-11. Treatment: Separate investor-disclosed commitment; no verified round name or complete syndicate",
      "status": "supported",
      "subject": "investors"
    },
    {
      "as_of": "2021-11",
      "caveat": "The $36.3m subtotal is calculated, non-exhaustive, and combines announced raises with a commitment; it is not a fresh company-stated total equity raised. Acquisition consideration excluded.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-reported historical total; calculated rounds-plus-commitment subtotal",
      "date_note": "",
      "evidence_label": "Issuer-reported historical total; calculated rounds-plus-commitment subtotal",
      "id": "imerit.claim.expansion-imerit-funding-total",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/6",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-2021",
        "imerit.source.audit-im-bii"
      ],
      "statement": "Historical $23.5m raised; $12.8m further BII commitment. Historical company reported total: 23,500,000. Historical total as of: 2021-04-13. Announced rounds sum: 23,500,000. Additional investor commitment: 12,800,000. Disclosed rounds plus commitment subtotal: 36,300,000. Currency: USD. Display: $23.5m announced rounds + $12.8m later BII commitment",
      "status": "supported",
      "subject": "total funding"
    },
    {
      "as_of": "2021-04-13",
      "caveat": "The $36.3m subtotal is calculated, non-exhaustive, and combines announced raises with a commitment; it is not a fresh company-stated total equity raised. Acquisition consideration excluded.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-reported historical total; calculated rounds-plus-commitment subtotal",
      "date_note": "",
      "evidence_label": "Issuer-reported historical total; calculated rounds-plus-commitment subtotal",
      "id": "imerit.claim.expansion-funding-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/6",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-2021",
        "imerit.source.audit-im-bii"
      ],
      "statement": "Historical $23.5m raised; $12.8m further BII commitment. Historical company reported total: 23,500,000. Historical total as of: 2021-04-13. Announced rounds sum: 23,500,000. Additional investor commitment: 12,800,000. Disclosed rounds plus commitment subtotal: 36,300,000. Currency: USD. Display: $23.5m announced rounds + $12.8m later BII commitment",
      "status": "supported",
      "subject": "financial metrics"
    },
    {
      "as_of": "2026-08-03",
      "caveat": "Do not display these firms as current co-owners alongside EXL after the all-equity acquisition.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-disclosed historical investors",
      "date_note": "",
      "evidence_label": "Issuer-disclosed historical investors",
      "id": "imerit.claim.expansion-imerit-investors",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/7",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-2015",
        "imerit.source.audit-im-2020",
        "imerit.source.audit-im-close"
      ],
      "statement": "Impact-investor syndicate. Names: British International Investment / CDC Group; Omidyar Network; Michael and Susan Dell Foundation; Khosla Impact. Status: Historical pre-acquisition investors; current individual stakes not disclosed",
      "status": "supported",
      "subject": "investors"
    },
    {
      "as_of": "2026-08-03",
      "caveat": "Upfront consideration subject to closing adjustments; $310m is a maximum including conditional incentives/earnouts, not all cash paid at close or a venture valuation.",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "Regulatory filing; acquirer-confirmed completion",
      "date_note": "",
      "evidence_label": "Regulatory filing; acquirer-confirmed completion",
      "id": "imerit.claim.expansion-imerit-acquisition",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/8",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-8k",
        "imerit.source.audit-im-close"
      ],
      "statement": "EXL acquisition: $170m upfront, up to $140m contingent. Agreement signed on: 2026-06-22. Announced on: 2026-06-24. Completion announced on: 2026-08-03. Purchaser: Clairvoyant AI, Inc., an indirect wholly owned EXL subsidiary. Stake: All issued and outstanding equity securities. Upfront cash: 170,000,000. Contingent cash maximum: 140,000,000. Consideration maximum: 310,000,000. Currency: USD. Earnout period years: 2",
      "status": "supported",
      "subject": "financing ownership transaction"
    },
    {
      "as_of": "2026-03-31",
      "caveat": "CFO Maurizio Nicolelli stated this on the June 24 M&A call. Not EXL consolidated revenue, not a 2026 forecast, and not annual recurring revenue.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Preliminary unaudited acquisition disclosure, transcribed CFO statement",
      "date_note": "",
      "evidence_label": "Preliminary unaudited acquisition disclosure, transcribed CFO statement",
      "id": "imerit.claim.expansion-imerit-revenue",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/9",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-transcript",
        "imerit.source.audit-im-transcript2"
      ],
      "statement": "Approximately $59m revenue, year ended March 2026. Kind: annual_revenue. Value: 59,000,000. Qualifier: approximately. Currency: USD. Period start: 2025-04-01. Period end: 2026-03-31. Segment scope: iMerit standalone acquired business. Reported vs estimated: reported_preliminary_unaudited. Gross vs net: not_specified. Is arr: No",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-03-31",
      "caveat": "CFO Maurizio Nicolelli stated this on the June 24 M&A call. Not EXL consolidated revenue, not a 2026 forecast, and not annual recurring revenue.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Preliminary unaudited acquisition disclosure, transcribed CFO statement",
      "date_note": "",
      "evidence_label": "Preliminary unaudited acquisition disclosure, transcribed CFO statement",
      "id": "imerit.claim.expansion-imerit-revenue-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/9",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-transcript",
        "imerit.source.audit-im-transcript2"
      ],
      "statement": "Approximately $59m revenue, year ended March 2026. Kind: annual_revenue. Value: 59,000,000. Qualifier: approximately. Currency: USD. Period start: 2025-04-01. Period end: 2026-03-31. Segment scope: iMerit standalone acquired business. Reported vs estimated: reported_preliminary_unaudited. Gross vs net: not_specified. Is arr: No",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-06-24",
      "caveat": "Executive description, not audited iMerit statements; ongoing or annuity-like work should not be relabeled SaaS ARR.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Acquirer executive statement; unaudited profitability description",
      "date_note": "",
      "evidence_label": "Acquirer executive statement; unaudited profitability description",
      "id": "imerit.claim.expansion-imerit-profit-model",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/10",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-transcript"
      ],
      "statement": "Profitable services/platform business with recurring and project work. Profitability: EXL CEO described iMerit as profitable; no profit amount or margin given. Revenue model: Mix of ongoing work and project-based engagements",
      "status": "supported",
      "subject": "business model"
    },
    {
      "as_of": "2026-06-24",
      "caveat": "Dated acquirer statement; Scholars separately described as independent contractors. Not a certified post-close total for October 2026.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Acquirer-disclosed expected employee transfer count",
      "date_note": "",
      "evidence_label": "Acquirer-disclosed expected employee transfer count",
      "id": "imerit.claim.expansion-imerit-fte",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/11",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-transcript"
      ],
      "statement": "Approximately 3,600 transferring full-time employees. Kind: employee_count. Value: 3,600. Qualifier: approximately. Unit: people. Segment scope: iMerit employees expected to transition at acquisition closing. Measurement date: 2026-06-24. Employment type: full_time",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-06-24",
      "caveat": "Dated acquirer statement; Scholars separately described as independent contractors. Not a certified post-close total for October 2026.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Acquirer-disclosed expected employee transfer count",
      "date_note": "",
      "evidence_label": "Acquirer-disclosed expected employee transfer count",
      "id": "imerit.claim.expansion-imerit-fte-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/11",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-transcript"
      ],
      "statement": "Approximately 3,600 transferring full-time employees. Kind: employee_count. Value: 3,600. Qualifier: approximately. Unit: people. Segment scope: iMerit employees expected to transition at acquisition closing. Measurement date: 2026-06-24. Employment type: full_time",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Undated current website claim, observed October 12. Network membership is not payroll, active assignments, or unique workers deployed in a period.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Undated issuer-reported expert-network size",
      "date_note": "",
      "evidence_label": "Undated issuer-reported expert-network size",
      "id": "imerit.claim.expansion-imerit-expert-network",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/12",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-home"
      ],
      "statement": "25,000+ domain experts in 60+ countries. Kind: expert_network_size. Value: 25,000. Qualifier: at_least. Unit: people. Countries: 60. Countries qualifier: at_least. Segment scope: Scholars network",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Undated current website claim, observed October 12. Network membership is not payroll, active assignments, or unique workers deployed in a period.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Undated issuer-reported expert-network size",
      "date_note": "",
      "evidence_label": "Undated issuer-reported expert-network size",
      "id": "imerit.claim.expansion-imerit-expert-network-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/12",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-home"
      ],
      "statement": "25,000+ domain experts in 60+ countries. Kind: expert_network_size. Value: 25,000. Qualifier: at_least. Unit: people. Countries: 60. Countries qualifier: at_least. Segment scope: Scholars network",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Do not add these counts or treat apparent differences as a verified layoff. The pages are undated and measure different pools. Use dated transfer-scope figure for the main FTE card.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Analyst reconciliation of differently scoped issuer and acquirer claims",
      "date_note": "",
      "evidence_label": "Analyst reconciliation of differently scoped issuer and acquirer claims",
      "id": "imerit.claim.expansion-imerit-scale-reconciliation",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/13",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-about",
        "imerit.source.audit-im-reasoning",
        "imerit.source.audit-im-transcript",
        "imerit.source.audit-im-home"
      ],
      "statement": "Distinct people denominators must stay separate. Active resources claim: 10,000. Active resources qualifier: at_least. Active resources source: Company about page. Older or undated fte claim: 5,000. Dated transfer scope fte: 3,600. Network claim: 25,000",
      "status": "supported",
      "subject": "metric caveat"
    },
    {
      "as_of": "undated",
      "caveat": "Product capabilities are supplier claims; throughput or accuracy is not independently benchmarked here.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-described product; dated launch index",
      "date_note": "",
      "evidence_label": "Issuer-described product; dated launch index",
      "id": "imerit.claim.expansion-imerit-ango",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/14",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-ango",
        "imerit.source.audit-im-news"
      ],
      "statement": "Ango Hub: multimodal annotation and evaluation platform. Name: Ango Hub. Capabilities: Annotation workflows and automation; Quality review and production analytics; Image, video, LiDAR/point cloud, medical DICOM, text and audio data; Model evaluation and expert collaboration. Launch date: 2023-08-03",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "These are offered workflows, not proof of a specific named frontier-lab contract.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-described product; dated launch index",
      "date_note": "",
      "evidence_label": "Issuer-described product; dated launch index",
      "id": "imerit.claim.expansion-imerit-deep-reasoning",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/15",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-reasoning",
        "imerit.source.audit-im-news"
      ],
      "statement": "Deep Reasoning Lab: expert review of multistep outputs. Name: Ango Hub Deep Reasoning Lab. Launch date: 2025-03-10. Capabilities: Expert-designed multistep scenarios; Review and categorization of model-output errors; Corrections and feedback to create fine-tuning data",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Expert network is separate from employed annotation workforce.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-described expert service; acquirer description",
      "date_note": "",
      "evidence_label": "Issuer-described expert service; acquirer description",
      "id": "imerit.claim.expansion-imerit-scholars",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/16",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-scholars",
        "imerit.source.audit-im-news",
        "imerit.source.audit-im-close"
      ],
      "statement": "Scholars: managed specialist network. Name: iMerit Scholars. Wide availability announced: 2025-07-09. Specialists: Physicians; Scientists; Engineers; Linguists; Other domain experts. Tasks: High-quality data creation; Reasoning evaluation; Model alignment; Human feedback",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Capability catalogue, not a count of deployments or disclosed segment revenue.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Issuer-described service catalogue",
      "date_note": "",
      "evidence_label": "Issuer-described service catalogue",
      "id": "imerit.claim.expansion-imerit-services",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/17",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-contact"
      ],
      "statement": "GenAI, physical AI and regulated-domain data services. Services: RLHF and preference feedback; Supervised fine-tuning data; Multimodal evaluations; Red teaming; Agent evaluation; RAG fine-tuning; Medical and sensor-data annotation. Target domains: Autonomous mobility; Healthcare AI; Robotics; High technology",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Buyer confirms the relationship and use case, but not contract value or dates.",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "Buyer-confirmed commercial relationship and use case",
      "date_note": "",
      "evidence_label": "Buyer-confirmed commercial relationship and use case",
      "id": "imerit.claim.expansion-imerit-carbon",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/18",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-carbon-buyer"
      ],
      "statement": "Carbon Robotics: buyer-confirmed training-data work. Customer: Carbon Robotics. Relationship status: Publicly described on buyer site at observation. Use case: Plant-image annotation for Carbon AI Large Plant Model. Proof level: Buyer-primary confirmation",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Supplier case study with named buyer testimony. Image counts are rounded inconsistently within the source (1m+ heading versus nearly 1m text); retain approximately, not a precise floor.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Supplier case study with named buyer testimony",
      "date_note": "",
      "evidence_label": "Supplier case study with named buyer testimony",
      "id": "imerit.claim.expansion-imerit-carbon-results",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/19",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-carbon-case"
      ],
      "statement": "Carbon Robotics: multi-year delivery case. Customer: Carbon Robotics. Engagement start year: 2,020. Supplier reported scale: Grew from five specialists to over 80 trained experts. Supplier reported output: Approximately one million plant images; 184+ plant types. Buyer speaker: Zach New, Manager Deep Learning",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2026-08-03",
      "caveat": "Do not convert analyst mentions of Anthropic/OpenAI in call questions into customer confirmation. Company homepage logos also do not establish which GenAI work those buyers purchase.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Acquirer-reported unnamed foundation-model relationships",
      "date_note": "",
      "evidence_label": "Acquirer-reported unnamed foundation-model relationships",
      "id": "imerit.claim.expansion-imerit-frontier-labs",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/20",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-deal",
        "imerit.source.audit-im-close"
      ],
      "statement": "Foundation-model relationships verified only at unnamed level. Named frontier lab customers: . Claim: EXL says iMerit has direct relationships with foundation-model builders and helps frontier AI labs. Evidence level: Named acquirer claim; buyer identities undisclosed",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Weak evidence for scope and recency; do not classify all logos as frontier-model customers or verified current contracts.",
      "company_id": "imerit",
      "confidence": "C",
      "confidence_reason": "Supplier-displayed customer logos only",
      "date_note": "",
      "evidence_label": "Supplier-displayed customer logos only",
      "id": "imerit.claim.expansion-imerit-logos",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/21",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-home"
      ],
      "statement": "Additional logo-only signals. Examples: Microsoft; eBay; GE Healthcare; Johnson & Johnson; Blue River Technology. Proof level: Supplier-displayed logos",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2025-12-31",
      "caveat": "EXL figure predates acquisition and spans enterprise services. Never use as iMerit revenue or training-data market revenue.",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "Parent company-reported annual financial results",
      "date_note": "",
      "evidence_label": "Parent company-reported annual financial results",
      "id": "imerit.claim.expansion-imerit-parent-revenue",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/22",
      "segment_scope": "other_segment",
      "source_ids": [
        "imerit.source.audit-c90a76bc07"
      ],
      "statement": "EXL FY2025 revenue: $2.088bn, separate parent context. Kind: annual_revenue. Value: 2,087,679,000. Currency: USD. Period end: 2025-12-31. Segment scope: EXL consolidated parent. Include in imerit revenue: No",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2025-12-31",
      "caveat": "EXL figure predates acquisition and spans enterprise services. Never use as iMerit revenue or training-data market revenue.",
      "company_id": "imerit",
      "confidence": "A",
      "confidence_reason": "Parent company-reported annual financial results",
      "date_note": "",
      "evidence_label": "Parent company-reported annual financial results",
      "id": "imerit.claim.expansion-imerit-parent-revenue-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/22",
      "segment_scope": "other_segment",
      "source_ids": [
        "imerit.source.audit-c90a76bc07"
      ],
      "statement": "EXL FY2025 revenue: $2.088bn, separate parent context. Kind: annual_revenue. Value: 2,087,679,000. Currency: USD. Period end: 2025-12-31. Segment scope: EXL consolidated parent. Include in imerit revenue: No",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "Maturity is an evidence-based editorial assessment, not a vendor ranking or market-share estimate.",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "Analyst inference from financial, buyer and acquisition evidence",
      "date_note": "",
      "evidence_label": "Analyst inference from financial, buyer and acquisition evidence",
      "id": "imerit.claim.expansion-imerit-maturity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/findings/23",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-transcript",
        "imerit.source.audit-im-carbon-buyer",
        "imerit.source.audit-im-close"
      ],
      "statement": "Mature production data specialist; acquired strategic platform. Verdict: Established commercial provider, with meaningful standalone revenue and buyer-confirmed production work; now backed by a public enterprise-services owner.. Strengths: Dated revenue disclosure; Named buyer-side proof; Expert network plus proprietary tooling; Physical-AI and regulated-domain depth. Constraints: Frontier lab names undisclosed; Revenue unaudited and not broken out by GenAI; Acquisition integration and earnout execution remain forward-looking",
      "status": "supported",
      "subject": "editorial assessment"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "imerit",
      "confidence": "B",
      "confidence_reason": "analyst inference",
      "date_note": "",
      "evidence_label": "analyst inference",
      "id": "imerit.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/0/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "imerit.source.audit-im-transcript",
        "imerit.source.audit-im-carbon-buyer",
        "imerit.source.audit-im-close"
      ],
      "statement": "Mature, revenue-generating production provider; acquired by EXL. Production data specialist now owned by EXL. Preserve ~$59m standalone revenue, dated transfer-scope headcount, and the separate historical-funding, BII-commitment and acquisition categories.",
      "status": "superseded",
      "subject": "editorial readout"
    },
    {
      "as_of": "2024-11-21",
      "caveat": "",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-reported history and CEO-described corporate form",
      "date_note": "",
      "evidence_label": "Issuer-reported history and CEO-described corporate form",
      "id": "sama.claim.identity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-story",
        "sama.source.audit-sa-interview"
      ],
      "statement": "Name: Sama. Former name: Samasource. Legal name: Samasource Impact Sourcing, Inc.. Founded year: 2,008. Website: https://www.sama.com/. Ownership status: Privately held, venture-backed public benefit corporation. Origin: Nonprofit impact-sourcing organization",
      "status": "supported",
      "subject": "legal identity"
    },
    {
      "as_of": "2024-11-21",
      "caveat": "B Corp certification and public-benefit legal form are distinct concepts; neither means Sama remains a nonprofit.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-reported history and CEO-described corporate form",
      "date_note": "",
      "evidence_label": "Issuer-reported history and CEO-described corporate form",
      "id": "sama.claim.expansion-sama-identity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/0",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-story",
        "sama.source.audit-sa-interview"
      ],
      "statement": "Founded 2008; private public-benefit company. Name: Sama. Former name: Samasource. Legal name: Samasource Impact Sourcing, Inc.. Founded year: 2,008. Website: https://www.sama.com/. Ownership status: Privately held, venture-backed public benefit corporation. Origin: Nonprofit impact-sourcing organization",
      "status": "supported",
      "subject": "legal identity"
    },
    {
      "as_of": "undated",
      "caveat": "Professional background only. Sources disagree on Harvard graduation year, so no graduation year is asserted.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Conference biography; investor and foundation founder histories",
      "date_note": "",
      "evidence_label": "Conference biography; investor and foundation founder histories",
      "id": "sama.claim.expansion-sama-founder",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/1",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-ted",
        "sama.source.audit-sa-salesforce",
        "sama.source.audit-sa-leila"
      ],
      "statement": "Leila Janah: social-enterprise founder. Name: Leila Janah. Professional history: Founded Samasource in 2008 to expand paid digital work for underserved communities. Previously a Katzenbach Partners management consultant and researcher for the World Bank and Ashoka; Harvard alumna. Later founded Samaschool and LXMI.. Leadership transition: Died January 2020; Wendy Gonzalez became CEO.",
      "status": "supported",
      "subject": "founder backgrounds"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "Current role verified on current team page; tenure history from CEO interview and company announcement. Gonzalez is not the founder.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-listed current executive; CEO-reported career history",
      "date_note": "",
      "evidence_label": "Issuer-listed current executive; CEO-reported career history",
      "id": "sama.claim.expansion-sama-current-ceo",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/2",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-team",
        "sama.source.audit-sa-interview",
        "sama.source.audit-sa-ceo"
      ],
      "statement": "Wendy Gonzalez, CEO. Name: Wendy Gonzalez. Current role: Chief Executive Officer. Joined year: 2,015. Became president coo: 2,018. Became ceo: 2,020. Prior companies: EY; Capgemini; Cycle30",
      "status": "supported",
      "subject": "leadership"
    },
    {
      "as_of": "2024-11-21",
      "caveat": "Primary/largest shareholder does not prove a >50% majority. Current detailed cap table and investor percentages are not public in reviewed sources.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Foundation history; CEO-reported shareholder position",
      "date_note": "",
      "evidence_label": "Foundation history; CEO-reported shareholder position",
      "id": "sama.claim.expansion-sama-ownership-history",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/3",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-ljf",
        "sama.source.audit-sa-interview"
      ],
      "statement": "Nonprofit origin; Leila Janah Foundation remains a major owner. For profit spinout year: 2,019. Foundation name: Leila Janah Foundation. Foundation renamed year: 2,020. Ownership claim: CEO described LJF as primary shareholder in November 2024",
      "status": "supported",
      "subject": "ownership history"
    },
    {
      "as_of": "2017",
      "caveat": "Company history calls BESTSELLER the first investor; amount undisclosed. Do not add speculative seed financing to the verified total.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer retrospective of investor participation; amount undisclosed",
      "date_note": "",
      "evidence_label": "Issuer retrospective of investor participation; amount undisclosed",
      "id": "sama.claim.expansion-sama-2017",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/4",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-funding-history"
      ],
      "statement": "BESTSELLER Foundation early investment, 2017. Year: 2,017. Investor: BESTSELLER Foundation. Entity scope: Sama Kenya subsidiary. Instrument: not specified in reviewed source",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2019-11-20",
      "caveat": "Later company retrospective additionally names Salesforce Ventures; keep that separately rather than silently changing the contemporaneous syndicate list.",
      "company_id": "sama",
      "confidence": "A",
      "confidence_reason": "Issuer-announced round; transaction-counsel corroboration",
      "date_note": "",
      "evidence_label": "Issuer-announced round; transaction-counsel corroboration",
      "id": "sama.claim.expansion-sama-series-a",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/5",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-2019",
        "sama.source.audit-sa-a-counsel"
      ],
      "statement": "$14.8m Series A, November 2019. Amount: 14,800,000. Currency: USD. Round label: Series A. Announced on: 2019-11-20. Status: closed. Lead investor: Ridge Ventures. Participants named in original release: Social Impact Ventures; BESTSELLER Foundation; Bluecrest Limited Capital",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2021-11-04",
      "caveat": "Do not infer customer status from an investment.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Investor-confirmed investment; issuer retrospective",
      "date_note": "",
      "evidence_label": "Investor-confirmed investment; issuer retrospective",
      "id": "sama.claim.expansion-sama-salesforce-history",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/6",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-salesforce",
        "sama.source.audit-sa-funding-history",
        "sama.source.audit-sa-2021"
      ],
      "statement": "Salesforce Ventures participation. Investor: Salesforce Ventures. Evidence: Investor published its investment rationale in 2020; Sama’s 2021 retrospective places Salesforce in the Series A; explicitly named in Series B announcement.",
      "status": "supported",
      "subject": "investors"
    },
    {
      "as_of": "2021-11-04",
      "caveat": "Investor-led primary announcement; no public valuation or exact investor check sizes established.",
      "company_id": "sama",
      "confidence": "A",
      "confidence_reason": "Lead-investor-disclosed financing round",
      "date_note": "",
      "evidence_label": "Lead-investor-disclosed financing round",
      "id": "sama.claim.expansion-sama-series-b",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/7",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-2021",
        "sama.source.oct14-9a7f5c5af6f3"
      ],
      "statement": "$70m Series B, November 2021. Amount: 70,000,000. Currency: USD. Round label: Series B. Announced on: 2021-11-04. Lead investor: Caisse de dépôt et placement du Québec (CDPQ; now branded La Caisse). Lead vehicle: Equity 25³ fund. Participants named: First Ascent Ventures; Salesforce Ventures; Vistara Growth. Other participants: All existing investors",
      "status": "supported",
      "subject": "funding rounds"
    },
    {
      "as_of": "2024-11-21",
      "caveat": "CEO-reported total matches A+B sum. No newer public round was verified in this review; that is not proof no later financing occurred.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "CEO-reported funding total; disclosed-round arithmetic corroboration",
      "date_note": "",
      "evidence_label": "CEO-reported funding total; disclosed-round arithmetic corroboration",
      "id": "sama.claim.expansion-sama-funding-total",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/8",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-interview",
        "sama.source.audit-sa-2019",
        "sama.source.audit-sa-2021"
      ],
      "statement": "$84.8m reported total funding. Value: 84,800,000. Currency: USD. Kind: total_funding_reported. Reported as of: 2024-11-21. Calculated disclosed series a b sum: 84,800,000. Latest verified priced round date: 2021-11-04",
      "status": "supported",
      "subject": "total funding"
    },
    {
      "as_of": "2024-11-21",
      "caveat": "CEO-reported total matches A+B sum. No newer public round was verified in this review; that is not proof no later financing occurred.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "CEO-reported funding total; disclosed-round arithmetic corroboration",
      "date_note": "",
      "evidence_label": "CEO-reported funding total; disclosed-round arithmetic corroboration",
      "id": "sama.claim.expansion-funding-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/8",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-interview",
        "sama.source.audit-sa-2019",
        "sama.source.audit-sa-2021"
      ],
      "statement": "$84.8m reported total funding. Value: 84,800,000. Currency: USD. Kind: total_funding_reported. Reported as of: 2024-11-21. Calculated disclosed series a b sum: 84,800,000. Latest verified priced round date: 2021-11-04",
      "status": "supported",
      "subject": "financial metrics"
    },
    {
      "as_of": "2024-11-21",
      "caveat": "Unknown reported revenue is not zero revenue or pre-revenue. Do not substitute unsupported database estimates.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "CEO-confirmed revenue nondisclosure",
      "date_note": "",
      "evidence_label": "CEO-confirmed revenue nondisclosure",
      "id": "sama.claim.expansion-sama-revenue",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/9",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-interview"
      ],
      "statement": "Revenue undisclosed; commercial business established. Kind: annual_revenue. Status: not_publicly_disclosed_in_reviewed_sources. Company statement date: 2024-11-21. Statement summary: CEO said Sama does not disclose revenue as a private company",
      "status": "supported",
      "subject": "revenue disclosure"
    },
    {
      "as_of": "2026-08-10",
      "caveat": "This is an audit warning, not a dashboard headline revenue metric.",
      "company_id": "sama",
      "confidence": "C",
      "confidence_reason": "Excluded third-party modeled estimate",
      "date_note": "",
      "evidence_label": "Excluded third-party modeled estimate",
      "id": "sama.claim.expansion-sama-estimate-rejection",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/10",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-estimate",
        "sama.source.audit-sa-2019",
        "sama.source.audit-sa-2021"
      ],
      "statement": "Do not promote modeled database revenue into fact. Excluded value: 470,600,000. Currency: USD. Period: 2025. Source label: Latka estimate. Reason: Source says it has no management interview and uses an estimate; displayed funding is also incorrectly $0 relative to primary funding announcements.",
      "status": "supported",
      "subject": "excluded metric"
    },
    {
      "as_of": "2025-04-03",
      "caveat": "Historical before the April 2026 Meta-related redundancy notice. Current post-reduction payroll not independently verified; do not mechanically subtract notices from old headcount.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Dated issuer-reported historical workforce",
      "date_note": "",
      "evidence_label": "Dated issuer-reported historical workforce",
      "id": "sama.claim.expansion-sama-workforce",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/11",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-automate"
      ],
      "statement": "Over 5,000 on-staff data experts, April 2025. Kind: employee_data_expert_count. Value: 5,000. Qualifier: more_than. Unit: people. Segment scope: Company on-staff data experts. Measurement date: 2025-04-03",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "2025-04-03",
      "caveat": "Historical before the April 2026 Meta-related redundancy notice. Current post-reduction payroll not independently verified; do not mechanically subtract notices from old headcount.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Dated issuer-reported historical workforce",
      "date_note": "",
      "evidence_label": "Dated issuer-reported historical workforce",
      "id": "sama.claim.expansion-sama-workforce-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/11",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-automate"
      ],
      "statement": "Over 5,000 on-staff data experts, April 2025. Kind: employee_data_expert_count. Value: 5,000. Qualifier: more_than. Unit: people. Segment scope: Company on-staff data experts. Measurement date: 2025-04-03",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Undated marketing measure; points are not images, frames, tasks, tokens, users, or revenue. No independently audited utilization or current completed-output period supplied.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Undated issuer-reported annotation-volume claim",
      "date_note": "",
      "evidence_label": "Undated issuer-reported annotation-volume claim",
      "id": "sama.claim.expansion-sama-throughput",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/12",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-annotate"
      ],
      "statement": "10bn annotation points per month, company claim. Kind: annotation_throughput. Value: 10,000,000,000. Unit: annotation_points_per_month. Segment scope: Company platform/data operations. Reported vs estimated: company_claim",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Undated marketing measure; points are not images, frames, tasks, tokens, users, or revenue. No independently audited utilization or current completed-output period supplied.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Undated issuer-reported annotation-volume claim",
      "date_note": "",
      "evidence_label": "Undated issuer-reported annotation-volume claim",
      "id": "sama.claim.expansion-sama-throughput-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/12",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-annotate"
      ],
      "statement": "10bn annotation points per month, company claim. Kind: annotation_throughput. Value: 10,000,000,000. Unit: annotation_points_per_month. Segment scope: Company platform/data operations. Reported vs estimated: company_claim",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Not equivalent to universal per-label accuracy or an independently comparable benchmark.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Undated issuer-reported client-acceptance claim",
      "date_note": "",
      "evidence_label": "Undated issuer-reported client-acceptance claim",
      "id": "sama.claim.expansion-sama-acceptance",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/13",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-home"
      ],
      "statement": "99% first-batch client acceptance, company claim. Kind: client_acceptance_rate. Value: 99. Unit: percent. Segment scope: Supplier-reported annotation delivery",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Not equivalent to universal per-label accuracy or an independently comparable benchmark.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Undated issuer-reported client-acceptance claim",
      "date_note": "",
      "evidence_label": "Undated issuer-reported client-acceptance claim",
      "id": "sama.claim.expansion-sama-acceptance-metric",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/13",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-home"
      ],
      "statement": "99% first-batch client acceptance, company claim. Kind: client_acceptance_rate. Value: 99. Unit: percent. Segment scope: Supplier-reported annotation delivery",
      "status": "supported",
      "subject": "growth metrics"
    },
    {
      "as_of": "undated",
      "caveat": "Offered product functionality, not independently measured performance.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-described product capabilities",
      "date_note": "",
      "evidence_label": "Issuer-described product capabilities",
      "id": "sama.claim.expansion-sama-curate",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/14",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-curate"
      ],
      "statement": "Sama Curate. Capabilities: Select and prioritize high-value data; Explore data diversity and edge cases; Metadata filtering and data-drift analysis; API/CLI workflow integration. Target: Computer vision data curation before labeling",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Do not assume all workers are frontier-domain PhDs or all data-services revenue is generative AI.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-described product and delivery model",
      "date_note": "",
      "evidence_label": "Issuer-described product and delivery model",
      "id": "sama.claim.expansion-sama-annotate",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/15",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-annotate"
      ],
      "statement": "Sama Annotate. Capabilities: Managed image annotation; Video annotation and object tracking; 3D point-cloud annotation; Dedicated workforce, QA and delivery APIs. Delivery model: Full-time in-house annotation team plus software platform",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-described product capabilities",
      "date_note": "",
      "evidence_label": "Issuer-described product capabilities",
      "id": "sama.claim.expansion-sama-validate",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/16",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-validate"
      ],
      "statement": "Sama Validate. Capabilities: Human review and correction of model predictions; Custom reannotation workflows; Image, video and 3D data corrections; Quality reports and integration via API/CLI",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "undated",
      "caveat": "Current catalogue; do not infer named current frontier-lab customers from capabilities alone.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-described GenAI capabilities",
      "date_note": "",
      "evidence_label": "Issuer-described GenAI capabilities",
      "id": "sama.claim.expansion-sama-genai",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/17",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-genai"
      ],
      "statement": "Sama GenAI. Capabilities: Model validation and fact checking; Instruction-following evaluation; Preference ranking and RLHF; Image/video captioning; Prompt-response writing; Human-checked synthetic data. Workflow products: SamaHub collaboration; SamaIQ insights; SamaAssure quality guarantee",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "2025-04-03",
      "caveat": "40% is a supplier-reported early implementation result. The 10x figure was a target, not a realized result verified here.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Issuer-announced product launch and early results",
      "date_note": "",
      "evidence_label": "Issuer-announced product launch and early results",
      "id": "sama.claim.expansion-sama-automate",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/18",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-automate"
      ],
      "statement": "Sama Automate launched April 2025. Name: Sama Automate. Launch date: 2025-04-03. Description: Data-annotation automation with targeted human validation. Early result claim: 40% less annotation time while meeting quality SLAs. Future target at launch: 10x effort reduction before year-end",
      "status": "supported",
      "subject": "products"
    },
    {
      "as_of": "2019",
      "caveat": "Specific named commercial proof, but hosted by supplier. Undated page says relationship continues; current contract scope/value not independently verified.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Supplier case study with named buyer testimony",
      "date_note": "",
      "evidence_label": "Supplier case study with named buyer testimony",
      "id": "sama.claim.expansion-sama-walmart",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/19",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-walmart"
      ],
      "statement": "Walmart: named production case with buyer testimonial. Customer: Walmart. Use case: Product catalogue labeling and search relevance. Historical scale: More than 2.5m items covered by 2019. Outcome claim: Retail item coverage improved from 91% to 98%. Named buyer: Vamsi Madabhushi, Product Manager. Proof level: Supplier case study with named buyer quote",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2020-07",
      "caveat": "Historical computer-vision project, not evidence of Google Gemini training work or a current frontier-model contract.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Supplier case study with named buyer testimony",
      "date_note": "",
      "evidence_label": "Supplier case study with named buyer testimony",
      "id": "sama.claim.expansion-sama-google",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/20",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-google"
      ],
      "statement": "Google Project Guideline: named annotated-data case. Customer: Google. Project: Project Guideline. Work start month: 2020-07. Use case: Polygon annotations of guide lines for low-vision navigation. Named buyer: Xuan Yang, Computer Vision Researcher at Google. Proof level: Supplier case study with named buyer quote",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Supports real commercial relationships; dates, current scope and contract amounts remain undisclosed.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Named buyer testimony hosted by supplier",
      "date_note": "",
      "evidence_label": "Named buyer testimony hosted by supplier",
      "id": "sama.claim.expansion-sama-testimonials",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/21",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-home"
      ],
      "statement": "Named testimony beyond logos. Customers: Name: Getty Images. Speaker: Steve Heck, CTO. Scope: Data volumes and quality; Name: Continental. Speaker: Demetrio Aiello, Head of AI & Robotics Labs. Scope: Training data strategy. Proof level: Named customer quotes hosted by supplier",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "undated",
      "caveat": "Do not assume these are all current active contracts, AI foundation-model customers, or independently confirmed buyer relationships.",
      "company_id": "sama",
      "confidence": "C",
      "confidence_reason": "Supplier-displayed customer logos and customer-share claim",
      "date_note": "",
      "evidence_label": "Supplier-displayed customer logos and customer-share claim",
      "id": "sama.claim.expansion-sama-logo-evidence",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/22",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-cases"
      ],
      "statement": "Additional displayed logos are lower-strength evidence. Examples: Microsoft; eBay; NASA; Sony; Qualcomm; Verizon; Siemens. Company claim: 25% of Fortune 50 companies trust Sama. Proof level: Supplier assertion / logos",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2023-01-18",
      "caveat": "Not current-customer proof. Reported worker-welfare issues and disputed details require attribution; this profile does not adjudicate them.",
      "company_id": "sama",
      "confidence": "C",
      "confidence_reason": "Independent reporting with buyer and supplier statements",
      "date_note": "",
      "evidence_label": "Independent reporting with buyer and supplier statements",
      "id": "sama.claim.expansion-sama-openai-historical",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/23",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-time"
      ],
      "statement": "OpenAI: historical work ended in 2022. Customer: OpenAI. Status: Historical/former engagement. Use case: Safety-related content labeling. Contract period: Late 2021 through early 2022. Last delivery reported: 2022-03. Evidence: TIME reporting includes OpenAI and Sama confirmation of work and early termination",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2026-04-16",
      "caveat": "AP quotes Sama’s notice; SvD quotes Meta confirming termination after a pause. A redundancy notice is not a verified final global headcount. Do not use Meta as a current logo without new evidence.",
      "company_id": "sama",
      "confidence": "C",
      "confidence_reason": "Independent reporting with supplier notice and buyer confirmation",
      "date_note": "",
      "evidence_label": "Independent reporting with supplier notice and buyer confirmation",
      "id": "sama.claim.expansion-sama-meta-termination",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/24",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-meta-ap",
        "sama.source.audit-sa-meta-svd"
      ],
      "statement": "Meta: major Nairobi engagement terminated, April 2026. Customer: Meta. Status: Former/terminated relationship in reviewed reporting. Termination reported: 2026-04-16. Redundancy notice affected workers: 1,108. Notice date: 2026-04-16. Use case: AI-data labeling; separate from earlier content-moderation exit",
      "status": "supported",
      "subject": "customers"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "Absence of public names is not proof of no current frontier clients. Do not transfer old contracts into current customer totals.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Analyst inference from product claims and historical contract reporting",
      "date_note": "",
      "evidence_label": "Analyst inference from product claims and historical contract reporting",
      "id": "sama.claim.expansion-sama-frontier-status",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/25",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-genai",
        "sama.source.audit-sa-time",
        "sama.source.audit-sa-meta-ap"
      ],
      "statement": "Current named frontier-lab business not publicly established. Status: Historical frontier-lab work verified; current named frontier-model buyer not established in reviewed sources. Basis: Current GenAI product catalogue and unnamed enterprise work coexist with ended OpenAI and Meta engagements",
      "status": "supported",
      "subject": "frontier customer status"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "Commercial maturity assessment, not a claim of market leadership or a comprehensive current-client audit.",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "Analyst inference from financing, delivery and commercial evidence",
      "date_note": "",
      "evidence_label": "Analyst inference from financing, delivery and commercial evidence",
      "id": "sama.claim.expansion-sama-maturity",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/findings/26",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-walmart",
        "sama.source.audit-sa-google",
        "sama.source.audit-sa-2021",
        "sama.source.audit-sa-interview",
        "sama.source.audit-sa-meta-ap"
      ],
      "statement": "Mature enterprise annotation provider; current frontier exposure less transparent. Verdict: Established private data-services/platform business with named production case studies, institutional funding and substantial historical delivery scale.. Strengths: Long operating history; Named customer testimony; Computer-vision specialization; Data curation, annotation, validation and GenAI catalogue. Constraints: Revenue not disclosed; Latest verified round is 2021; Current payroll uncertain after 2026 contract loss; Historical OpenAI/Meta work cannot substantiate current frontier exposure",
      "status": "supported",
      "subject": "editorial assessment"
    },
    {
      "as_of": "2026-10-12",
      "caveat": "",
      "company_id": "sama",
      "confidence": "B",
      "confidence_reason": "analyst inference",
      "date_note": "",
      "evidence_label": "analyst inference",
      "id": "sama.claim.audit-readout",
      "observed_on": "2026-10-12",
      "raw_path": "data/raw/final-core/expansion-imerit-sama.json",
      "raw_pointer": "/profiles/1/commercial_verdict",
      "segment_scope": "company",
      "source_ids": [
        "sama.source.audit-sa-walmart",
        "sama.source.audit-sa-google",
        "sama.source.audit-sa-2021",
        "sama.source.audit-sa-interview",
        "sama.source.audit-sa-meta-ap"
      ],
      "statement": "Mature enterprise provider; revenue undisclosed and current frontier exposure unverified. Mature private platform/services provider with $84.8m disclosed funding and named enterprise cases. Revenue is undisclosed; OpenAI and Meta are historical relationships, and pre-2026 workforce claims need dates.",
      "status": "superseded",
      "subject": "editorial readout"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "taskus",
      "confidence": "B",
      "confidence_reason": "Regulatory disclosure",
      "date_note": "",
      "evidence_label": "Regulatory disclosure",
      "id": "taskus.claim.identity",
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      "caveat": "89 evaluation tasks; Terminus 2; pass@1 averaged across five runs. Company reports zero official-eval overlap in training.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-research-terminal-posttraining",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/research_outputs/2",
      "segment_scope": "research",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-terminal"
      ],
      "statement": "Terminal-agent post-training: Train gpt-oss-20b through SFT followed by verifiable-reward RL. Terminal-Bench 2.0 pass rate: 3.1% base, 13.5% after SFT, 17.0% after SFT + RLVR. 89 evaluation tasks; Terminus 2; pass@1 averaged across five runs. Company reports zero official-eval overlap in training.",
      "status": "supported",
      "subject": "research terminal posttraining"
    },
    {
      "as_of": "2026-06-08",
      "caveat": "220 GDPval evaluation tasks. Net win-loss margins use (wins minus losses)/220; Qwen rubric score rose 7.9 points and Nemotron 5.1.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-research-office-distillation",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/research_outputs/3",
      "segment_scope": "research",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-office_opd"
      ],
      "statement": "Office-agent on-policy distillation: Train Nemotron Nano and Qwen3.5-9B on expert office tasks using Tinker. Qwen net win-loss margin +21.4%; Nemotron +20.9% against each base model. 220 GDPval evaluation tasks. Net win-loss margins use (wins minus losses)/220; Qwen rubric score rose 7.9 points and Nemotron 5.1.",
      "status": "supported",
      "subject": "research office distillation"
    },
    {
      "as_of": "2026-07-02",
      "caveat": "Table 4 isolates the warmup procedure in NVIDIA’s training recipe. This experiment alone cannot estimate the effect of swapping data vendors.",
      "company_id": "afterquery",
      "confidence": "A",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Partner-confirmed",
      "id": "afterquery.claim.round2-research-nvidia-warmup",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/research_outputs/4",
      "segment_scope": "research",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-nvidia_report",
        "afterquery.source.round2-nvidia_blog"
      ],
      "statement": "Nemotron 3 Ultra workplace warmup: NVIDIA used AfterQuery tasks in office/workplace training. Model-generated trajectories supported student warmup and later reinforcement learning. GDPval: 35.3 without warmup, 46.7 with warmup; difference +11.4 points. Table 4 isolates the warmup procedure in NVIDIA’s training recipe. This experiment alone cannot estimate the effect of swapping data vendors.",
      "status": "supported",
      "subject": "research nvidia warmup"
    },
    {
      "as_of": "2026-07-07",
      "caveat": "97 evaluation tasks. Pivot stage uses 50 teacher trajectories and 193 pivots. Six general-capability checks showed no statistically significant change.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-research-banking-pivotrl",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/research_outputs/5",
      "segment_scope": "research",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-banking"
      ],
      "statement": "Customer-service tool-use training: Distill Qwen3.6-27B into Qwen3.5-9B, then apply PivotRL. τ³-Banking pass@5: 11.3% → 17.5%; pass@1 averaged over five attempts: 5.4% → 8.5%. 97 evaluation tasks. Pivot stage uses 50 teacher trajectories and 193 pivots. Six general-capability checks showed no statistically significant change.",
      "status": "supported",
      "subject": "research banking pivotrl"
    },
    {
      "as_of": "2026-08-30",
      "caveat": "One co-created synthetic case is public; remaining corpus is private. Partner’s scope description takes precedence over compressed company publicity.",
      "company_id": "afterquery",
      "confidence": "A",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Partner-confirmed",
      "id": "afterquery.claim.round2-research-legora-bar",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/research_outputs/6",
      "segment_scope": "research",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-legora",
        "afterquery.source.round2-legora_blog"
      ],
      "statement": "Legora BAR: Assess end-to-end legal work against expert-written weighted rubrics. Full corpus: 5,161 cases and 11,075 documents across 28 practice areas; BAR subset: hundreds of cases. One co-created synthetic case is public; remaining corpus is private. Partner’s scope description takes precedence over compressed company publicity.",
      "status": "supported",
      "subject": "research legora bar"
    },
    {
      "as_of": "2026-10-08",
      "caveat": "mini-swe-agent, medium reasoning, step-15 checkpoint. Transfer: Terminal-Bench 2.1 +4.1 points; SWE-Bench-Pro Hard +3.3 points. All 500 tasks trained; no validation split.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-research-deepswe-grpo",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/research_outputs/7",
      "segment_scope": "research",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-deepswe"
      ],
      "statement": "Qwen3.8-27B on DeepSWE: GRPO training on 500 expert-authored software tasks. DeepSWE pass@1: 27.8% → 39.1%, averaged over three attempts; pass@3: 51.3% → 68.1%. mini-swe-agent, medium reasoning, step-15 checkpoint. Transfer: Terminal-Bench 2.1 +4.1 points; SWE-Bench-Pro Hard +3.3 points. All 500 tasks trained; no validation split.",
      "status": "supported",
      "subject": "research deepswe grpo"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-identity",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/profile_header",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-home",
        "afterquery.source.round2-enterprise"
      ],
      "statement": "AfterQuery builds expert-generated datasets and environments for frontier-model training. Its enterprise team also develops custom evaluations and deploys systems on a company’s own data.",
      "status": "supported",
      "subject": "identity"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Primary-source biography",
      "id": "afterquery.claim.round2-person-spencer-mateega",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/people/cards/0",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-yc",
        "afterquery.source.round2-launch",
        "afterquery.source.round2-financeqa"
      ],
      "statement": "Co-founder · CEO. Wharton finance/statistics and Penn computer science; prior finance and software-engineering internships. Current YC active-founder profile",
      "status": "supported",
      "subject": "person spencer mateega"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Primary-source biography",
      "id": "afterquery.claim.round2-person-carlos-georgescu",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/people/cards/1",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-yc",
        "afterquery.source.round2-launch",
        "afterquery.source.round2-financeqa"
      ],
      "statement": "Co-founder · CTO. Previously founded an acquired edtech business; software-engineering internships at Citadel Securities, Meta and Google. Current YC active-founder profile",
      "status": "supported",
      "subject": "person carlos georgescu"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Primary-source biography",
      "id": "afterquery.claim.round2-person-danny-tang",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/people/cards/2",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-founder_history",
        "afterquery.source.round2-yc_launch_social",
        "afterquery.source.round2-launch",
        "afterquery.source.round2-financeqa"
      ],
      "statement": "Early founding team · FinanceQA coauthor. Wharton connection and earlier startup with Spencer documented in the launch. Historical contribution verified; current executive title unverified",
      "status": "supported",
      "subject": "person danny tang"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Primary-source historical roster",
      "id": "afterquery.claim.round2-early-team-context",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/people/roster_note",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-founder_history",
        "afterquery.source.round2-yc_launch_social",
        "afterquery.source.round2-launch",
        "afterquery.source.round2-financeqa"
      ],
      "statement": "The current YC active-founder panel names Spencer and Carlos. Primary launch material and the CEO’s origin account also identify Danny Tang in the early team. Current title and employment status for Danny remain unresolved.",
      "status": "supported",
      "subject": "early team context"
    },
    {
      "as_of": "2026-04-09",
      "caveat": "Closed a few months before the announcement; exact close date undisclosed.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-financial-0",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/financials/cards/0",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-funding"
      ],
      "statement": "Series A announced: $30M. Closed a few months before the announcement; exact close date undisclosed.",
      "status": "supported",
      "subject": "financial 0"
    },
    {
      "as_of": "2026-04-09",
      "caveat": "Pre-money/post-money basis unspecified",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-financial-1",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/financials/cards/1",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-funding"
      ],
      "statement": "Series A valuation: $300M. Pre-money/post-money basis unspecified",
      "status": "supported",
      "subject": "financial 1"
    },
    {
      "as_of": "2026-04-09",
      "caveat": "Threshold passed by the disclosure date; exact crossing date undisclosed. Annualized revenue run rate; audited annual revenue and recurring-revenue composition undisclosed.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-financial-2",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/financials/cards/2",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-funding"
      ],
      "statement": "Revenue run rate disclosed: >$100M. Threshold passed by the disclosure date; exact crossing date undisclosed. Annualized revenue run rate; audited annual revenue and recurring-revenue composition undisclosed.",
      "status": "supported",
      "subject": "financial 2"
    },
    {
      "as_of": "2026-09-01",
      "caveat": "Unspecified Forbes reported from two people; some company job copy now repeats the value. Undisclosed: Financing size, Exact closing date, Lead investor, Primary versus secondary structure, Pre-money versus post-money.",
      "company_id": "afterquery",
      "confidence": "C",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Forbes-reported; later repeated in company job copy",
      "id": "afterquery.claim.round2-financial-3",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/financials/cards/3",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-forbes_september",
        "afterquery.source.round2-yc",
        "afterquery.source.round2-fellow",
        "afterquery.source.round2-privacy_engineer"
      ],
      "statement": "Later reported valuation: $3.2B. Unspecified Forbes reported from two people; some company job copy now repeats the value. Undisclosed: Financing size, Exact closing date, Lead investor, Primary versus secondary structure, Pre-money versus post-money.",
      "status": "supported",
      "subject": "financial 3"
    },
    {
      "as_of": "2026-01-05",
      "caveat": "No exact amount is established; do not synthesize a numeric revenue or profitability metric.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Founder-reported",
      "id": "afterquery.claim.round2-financial-signal-0",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/financials/additional_signals/0",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-founder_history"
      ],
      "statement": "Monthly revenue as of Jan 5, 2026: Millions per month. Founder statement",
      "status": "supported",
      "subject": "financial signal 0"
    },
    {
      "as_of": "undated",
      "caveat": "No exact amount is established; do not synthesize a numeric revenue or profitability metric.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Founder-reported",
      "id": "afterquery.claim.round2-financial-signal-1",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/financials/additional_signals/1",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-founder_linkedin"
      ],
      "statement": "Later revenue statement: Several times the earlier $100M run rate. Founder statement visible in official LinkedIn profile index Exact LinkedIn publication date unrecovered; Forbes places corresponding X statement in July 2026.",
      "status": "supported",
      "subject": "financial signal 1"
    },
    {
      "as_of": "2026-09-01",
      "caveat": "No exact amount is established; do not synthesize a numeric revenue or profitability metric.",
      "company_id": "afterquery",
      "confidence": "C",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Forbes-reported",
      "id": "afterquery.claim.round2-financial-signal-2",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/financials/additional_signals/2",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-forbes_september"
      ],
      "statement": "Profitability: Reported profitable. Forbes unnamed source; company declined comment in that report",
      "status": "supported",
      "subject": "financial signal 2"
    },
    {
      "as_of": "undated",
      "caveat": "",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Sourced editorial synthesis",
      "id": "afterquery.claim.round2-readout",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/editorial",
      "segment_scope": "company",
      "self_reported": false,
      "source_ids": [
        "afterquery.source.round2-funding",
        "afterquery.source.round2-forbes_september",
        "afterquery.source.round2-yc",
        "afterquery.source.round2-fellow",
        "afterquery.source.round2-privacy_engineer",
        "afterquery.source.round2-nvidia_report",
        "afterquery.source.round2-nvidia_blog",
        "afterquery.source.round2-legora",
        "afterquery.source.round2-legora_blog"
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      "statement": "Expert datasets, RL environments and enterprise model services, with NVIDIA-confirmed task use and Legora-confirmed evaluation collaboration. The $30M Series A was announced April 9 after closing months earlier; >$100M annualized revenue run rate was disclosed that day, with the crossing date unknown. The later $3.2B valuation is a Forbes report, repeated in some job copy; financing size, exact close and valuation basis remain undisclosed.",
      "status": "supported",
      "subject": "readout"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
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      "id": "afterquery.claim.round2-career-board-0",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/0",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Software Engineer - Platform/Applied AI San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 0"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
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      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
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      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
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      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
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      "statement": "Current company careers board lists Software Engineering Intern San Francisco Intern.",
      "status": "supported",
      "subject": "career board 1"
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    {
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      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
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      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
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      "self_reported": true,
      "source_ids": [
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      ],
      "statement": "Current company careers board lists Software Engineer - Platform Infrastructure San Francisco Full-time.",
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    {
      "as_of": "2026-10-14",
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      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
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      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/3",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Senior Software Engineer - Security/Infrastructure San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 3"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-4",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/4",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Software Engineer - RL Environments San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 4"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-5",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/5",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Machine Learning Engineer, Data Privacy & Anonymization San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 5"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-6",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/6",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Software Engineer - Marketplace San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 6"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-7",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/7",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Product Manager San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 7"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-8",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/8",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Growth Associate San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 8"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-9",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/9",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Head of Growth San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 9"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-10",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/10",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Business Operations Generalist San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 10"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-11",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/11",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists People Programs Lead San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 11"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-12",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/12",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Technical Recruiter San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 12"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-13",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/13",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Corporate Counsel San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 13"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-14",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/14",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Recruiter San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 14"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-15",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/15",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 15"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-16",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/16",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead - Coding San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 16"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-17",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/17",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Associate - Coding San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 17"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-18",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/18",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead - Healthcare San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 18"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-19",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/19",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead - Engineering San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 19"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-20",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/20",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Data Acquisition Lead San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 20"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-21",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/21",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Quality Control Lead San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 21"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-22",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/22",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead - Consulting San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 22"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-23",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/23",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead - Legal San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 23"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-24",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/24",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead - AI Safety San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 24"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-25",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/25",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Strategic Projects Lead - STEM San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 25"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-26",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/26",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists AI/ML Research Intern San Francisco Intern.",
      "status": "supported",
      "subject": "career board 26"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-27",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/27",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Research Scientist - Post Training San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 27"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-28",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/28",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Research Scholar San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 28"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-29",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/29",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Research Engineer San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 29"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-30",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/30",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
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      "statement": "Current company careers board lists Research Technical Program Manager San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 30"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-31",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/31",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Research Fellow San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 31"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-32",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/32",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
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      "statement": "Current company careers board lists Research Scientist – Frontier Evaluations San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 32"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-33",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
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      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
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      "statement": "Current company careers board lists Research Program Manager San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 33"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-34",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
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      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Marketing Lead San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 34"
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    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-35",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
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      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists GTM Operations Lead San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 35"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-36",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/36",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
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      "statement": "Current company careers board lists Engagement Manager San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 36"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-37",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/37",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Sales Operations Associate San Francisco Full-time.",
      "status": "supported",
      "subject": "career board 37"
    },
    {
      "as_of": "2026-10-14",
      "caveat": "Board listing and application link are established; role terms and form rendering require separate verification.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-career-board-38",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_careers_inventory.json",
      "raw_pointer": "/roles/38",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-careers"
      ],
      "statement": "Current company careers board lists Technical Content Writer (Contract) Remote Full-time.",
      "status": "supported",
      "subject": "career board 38"
    },
    {
      "as_of": "undated",
      "caveat": "Application form rendered; no submission. Header employment type says full-time; role body specifies a part-time contract.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-work-technical-writer",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/work/roles/0",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-writer"
      ],
      "statement": "Technical Content Writer (Contract): $60 / hour; US remote; 10–15 hours/week. Write research articles and brand/founder communications; Check technical claims and adapt content for different audiences. Header employment type says full-time; role body specifies a part-time contract.",
      "status": "supported",
      "subject": "work technical writer"
    },
    {
      "as_of": "undated",
      "caveat": "Application form rendered; no submission. Preferred-qualification line also says 20+ hours/week and in-person preferred; main requirements specify full-time on-site.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-work-research-fellow",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/work/roles/1",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-fellow"
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      "statement": "Research Fellow: $16K / month; San Francisco, on-site; Full-time. Develop a research project with an AfterQuery mentor; Build datasets or benchmarks and work toward a joint publication. Preferred-qualification line also says 20+ hours/week and in-person preferred; main requirements specify full-time on-site.",
      "status": "supported",
      "subject": "work research fellow"
    },
    {
      "as_of": "undated",
      "caveat": "Application form rendered; no submission. Bonus eligibility and payout terms are undisclosed; no guaranteed-total-cash calculation. Rendered compensation header does not spell out a salary/bonus time period.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-work-rl-environments-engineer",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
      "raw_pointer": "/work/roles/2",
      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-rl_engineer"
      ],
      "statement": "Software Engineer - RL Environments: $260K–$290K salary band + equity; $200K–$400K separate bonus band; San Francisco, on-site; Full-time. Construct simulations and tasks exposing model failures; Build RLHF/RLVR reward signals and evaluate agent trajectories; Run post-training experiments with researchers. Bonus eligibility and payout terms are undisclosed; no guaranteed-total-cash calculation. Rendered compensation header does not spell out a salary/bonus time period.",
      "status": "supported",
      "subject": "work rl environments engineer"
    },
    {
      "as_of": "undated",
      "caveat": "Application form rendered; no submission. Published compensation labels have different lower bounds; clarify with employer.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
      "id": "afterquery.claim.round2-work-post-training-scientist",
      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
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      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-post_training"
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      "statement": "Research Scientist - Post Training: $210K–$450K / year target cash + equity; San Francisco, on-site; Full-time. Run controlled SFT/RL experiments to measure dataset effects; Develop public evaluations and publish technical findings. Published compensation labels have different lower bounds; clarify with employer.",
      "status": "supported",
      "subject": "work post training scientist"
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    {
      "as_of": "undated",
      "caveat": "Official indexed terms; live intake unverified because expert platform access was blocked. Sidebar says 10 hours/week and ongoing; short project window may have elapsed.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
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      "observed_on": "2026-10-14",
      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
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      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-world_models"
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      "subject": "work world models expert"
    },
    {
      "as_of": "undated",
      "caveat": "Official indexed terms; live intake unverified because expert platform access was blocked. Header states $50/hour; description advertises $40–60/hour.",
      "company_id": "afterquery",
      "confidence": "B",
      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
      "date_note": "Review date is not substituted for an unknown publication, closing or milestone date.",
      "evidence_label": "Company-reported",
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      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
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      "segment_scope": "company",
      "self_reported": true,
      "source_ids": [
        "afterquery.source.round2-college_swe"
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      "subject": "work college swe"
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    {
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      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
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      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
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      "segment_scope": "company",
      "self_reported": true,
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      "status": "supported",
      "subject": "work expert writing"
    },
    {
      "as_of": "undated",
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      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
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      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
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      "source_ids": [
        "afterquery.source.round2-fullstack"
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      "status": "supported",
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    {
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      "confidence_reason": "Attributed public evidence in the reviewed Round 2 research; source and measurement scope retained.",
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      "raw_path": "data/raw/afterquery-round2/afterquery_profile_round2.json",
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      "source_ids": [
        "afterquery.source.round2-esl"
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      "subject": "work esl expert"
    },
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    },
    {
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    {
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      "company_id": "afterquery",
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    {
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    {
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    {
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      "readout": "Handshake has a decade-old recruiting network and institutional backing, but its AI operation is a distinct new business. The near-$1B April 2026 run-rate is an investor-published operating claim, not an audited annual revenue figure. Cleanlab adds real research capability in evaluations and data quality. The obvious advantage is access to educated specialist talent; the public gap is named AI-data buyers, segment margins and a consistent dated revenue series. Historical parent funding and valuation should remain visible without being attributed to the AI division.",
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      "readout": "micro1's October 12 company update reports an annual run rate above $1B and confirms its Series B was priced at a $4B valuation. These are company statements, not audited annual revenue; gross/net and pre/post-money bases are unspecified. Primary financing size is undisclosed, and the approximately $25M employee tender is secondary liquidity. The previously disclosed $1B enterprise-data spending plan remains separate from revenue and financing.",
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      "readout": "Scale has the strongest combination here of long-lived delivery examples, a buyer-confirmed government award, major financing and a large reported revenue base. It now spans data, evaluations, enterprise applications and public-sector systems, so reducing it to an annotation marketplace is misleading. Meta’s investment changed its ownership and commercial context and included substantial shareholder liquidity. The latest public update emphasizes bookings and applications growth; it does not supply an audited 2025 revenue amount.",
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      "readout": "Turing combines expert training data and environments with enterprise AI deployment. Its January 2025 company release describes a $300M annual revenue run rate at 2024 year-end; that measure is annualized, not recognized full-year revenue or recurring SaaS ARR. Its March 2025 financing and later enterprise offering provide additional operating context, while current audited revenue and segment economics remain undisclosed.",
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      "readout": "Labelbox now spans Recursion enterprise agents, Horizon RL environments, Terra robotics data and Alignerr expert signals. Its October 14 Series E announcement discloses more than $100M in equity at a $1.25B pre-money valuation, with a separate unsized credit facility. The earlier approximately $189M funding total is historical, not a current lifetime total; current revenue and margins remain undisclosed.",
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      "readout": "Scaled compute and reinforcement-learning infrastructure provider with issuer-reported company-wide annualized revenue above $100m and a substantive named Ramp deployment case. Commercial proof is strong for the platform, but it does not establish a $100m expert-data business, SaaS ARR, disclosed margins or independently replicated task performance.",
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      "readout": "The commercial outlier in this subgroup: a dated, company-reported $200M run rate supported by substantial infrastructure and a transaction-adviser-confirmed seed. Treat it as rapidly scaled but financially opaque; missing named buyers, concentration and revenue-recognition details limit valuation comparisons.",
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      "readout": "Buyer-validated AI-safety evaluation specialist. A commissioned Anthropic engagement and Meta-confirmed benchmark delivery establish genuine external use with unusually strong primary evidence. Financial scale and repeat-contract economics remain opaque; do not equate undisclosed funding with lack of traction.",
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      "readout": "Early reinforcement-learning environment and post-training supplier with clearly articulated technical ownership, verifier design and expert-quality processes. Public evidence reviewed establishes the offering and team capability, but not a named paid deployment, revenue scale or repeat purchasing.",
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      "readout": "An experienced systems team undertaking a new agent-analytics launch after limited conversion in its prior database business. Hydrolix validates historical technical value, but that asset sale does not validate current AI revenue. Track as an adjacent analytics/evaluation entrant, not an established current frontier-data vendor.",
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      "readout": "A commercially active coding-data supplier, not merely a visible offer: dated lead-investor disclosure identifies substantial signed contracts and actual contributor payouts. Product breadth and DeepSWE show continued technical output. Current revenue, margins, valuation and retention remain unverified; old recruiting claims deserve labels, not erasure.",
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      "readout": "An established engineering talent business extending into frontier-lab RLHF work, with reported staffing capacity and expert payouts indicating operating activity. The reviewed evidence does not isolate current AI-data revenue, identify confirmed lab buyers or turn historical hiring revenue and ambiguous payout figures into current annual sales.",
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      "readout": "A.Team's current offer centers on agentic AI systems built and operated inside customer workflows by embedded engineers, with a continuing technical-talent business. Its network and historical engagement metrics describe delivery capacity; they do not measure recurring software revenue or a standalone frontier-data business.",
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      "readout": "Expert-data services provider with unusually strong buyer-side evidence: a UK AI Security Institute paper names Pareto as its commercial partner and documents delivered expert recruitment, rubrics and grading. This establishes a substantive completed engagement; fees, renewals, current contract status and scalable recurring revenue remain undisclosed.",
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      "readout": "Early specialized data-sourcing provider with strong but issuer-reported commercial signals: revenue well above seven figures and signed frontier-lab contracts in eight figures. Missing currencies, periods and recognition terms prevent treating these as ARR or recognized revenue; named buyer-side confirmation and delivery repeatability remain limited.",
      "segment": "Enterprise data and RL environments",
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      "readout": "Well-funded visual-reasoning model developer with an accomplished research team, not a third-party data-labeling supplier. Public model access remains waitlisted as of this review; no production revenue or named paying customers were established. Funding is evidence of financing, not product-market fit.",
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      "readout": "Expert-task and AI-data marketplace with company-reported expert payouts, delivered work hours and opportunities, which are more concrete operating signals than registered-network size alone. The reviewed public sources do not establish revenue, take rate, named paying labs or repeat contract economics.",
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      "readout": "Invisible has a meaningful revenue business rather than only a talent network: the company disclosed $134M of FY2024 sales, and a detailed Cohere case describes expert evaluation work. Its opportunity spans model development and enterprise automation, making it broader than a labeling vendor. The analytical trap is to treat all its activity like recurring software revenue or all ownership transactions like startup funding. Its operating model combines people, processes and software; debt-funded buybacks and secondary transfers are distinct from the $100M announced primary financing. Current-year growth, revenue mix, gross margins and concentration still need disclosure before assuming SaaS-like economics or extrapolating its historical expansion.",
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      "id": "toloka.editorial",
      "readout": "Toloka has credible current technical adoption: Shopify describes its experts inside an ongoing production-learning loop, a materially stronger signal than a logo wall. Its business has also changed substantially from its legacy crowdsourcing origins toward GenAI expert data. Public parent filings reveal a real but historically much smaller business than some unsourced market profiles suggest: roughly $26M of FY2024 revenue, with significant losses then. The 2025 investment changed voting control while Nebius retained most economic exposure. Subsequent revenue is not publicly comparable after deconsolidation, so neither a 2025 stub nor a financing amount should be used to imply today’s commercial scale.",
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      "readout": "Established verified-participant platform with substantial AI-data delivery. The CEO reports $300M+ annualized revenue in spring 2026 and a $10M revenue week; these are company claims with unresolved gross-versus-net basis, not audited annual revenue. The prior profile materially understated commercial scale by omitting them.",
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      "readout": "Appen is the most financially transparent of these four and should be assessed as a listed operating-business turnaround. Its latest reviewed half-year shows renewed aggregate growth, but the geography matters: rapid China expansion offsets a shrinking Global segment. It supplies genuine GenAI training and evaluation work and has established delivery infrastructure, yet revenue remains concentrated and positive adjusted EBITDA does not mean statutory profitability. Its historical Google relationship must not be shown as current. Compare its disclosed service revenue with other companies on a like-for-like basis; fundraising, ARR estimates and annualized monthly run rates are poor substitutes for Appen’s actual reported sales.",
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      "event_key": "accelerator-0",
      "id": "refresh.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Accelerator",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 1000000000,
      "amount_basis": "mixed_transaction",
      "announced_on": "2025-07-01",
      "capital_type": "mixed",
      "claim_id": "surge_ai.claim.audit-financing-0",
      "company_id": "surge_ai",
      "currency": "USD",
      "event_key": "unclassified-event-0",
      "id": "surge_ai.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "at_most",
      "round_name": "Reported financing / status unconfirmed",
      "segment_scope": "company",
      "status": "talks"
    },
    {
      "amount": 2300000,
      "amount_basis": "new_capital",
      "announced_on": "2023-12-22",
      "capital_type": "undisclosed",
      "claim_id": "quesma.claim.audit-initial-round",
      "company_id": "quesma",
      "currency": "USD",
      "event_key": "quesma.round.0",
      "id": "quesma.round.0",
      "include_in_total": false,
      "inclusion_reason": "Initial $2.3M announcement; angel round not yet closed at that time. Later $2.5M aggregate is not additive.",
      "qualifier": "exact",
      "round_name": "Pre-seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 15000000,
      "amount_basis": "new_capital",
      "announced_on": "2025-10-09",
      "capital_type": "undisclosed",
      "claim_id": "datacurve.claim.audit-funding",
      "company_id": "datacurve",
      "currency": "USD",
      "event_key": "datacurve.round.0",
      "id": "datacurve.round.0",
      "include_in_total": false,
      "inclusion_reason": "Reported financing; exact capital/close precision retained in cited evidence.",
      "qualifier": "exact",
      "round_name": "Series A",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 2700000,
      "amount_basis": "new_capital",
      "announced_on": "undated",
      "capital_type": "undisclosed",
      "claim_id": "datacurve.claim.audit-funding",
      "company_id": "datacurve",
      "currency": "USD",
      "event_key": "datacurve.round.1",
      "id": "datacurve.round.1",
      "include_in_total": false,
      "inclusion_reason": "Prior round; exact primary-supported closing date not established.",
      "qualifier": "exact",
      "round_name": "Seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 1000000,
      "amount_basis": "new_capital",
      "announced_on": "undated",
      "capital_type": "undisclosed",
      "claim_id": "benchflow.claim.funding_rounds-0",
      "company_id": "benchflow",
      "currency": "USD",
      "event_key": "early_seed_or_preseed-0",
      "id": "benchflow.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "at_least",
      "round_name": "early_seed_or_preseed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 5000000,
      "amount_basis": "new_capital",
      "announced_on": "2020",
      "capital_type": "equity",
      "claim_id": "a-team.claim.audit-ateam-round-types",
      "company_id": "a-team",
      "currency": "USD",
      "event_key": "seed-2020",
      "id": "a-team.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 55000000,
      "amount_basis": "new_capital",
      "announced_on": "2022-05-17",
      "capital_type": "equity",
      "claim_id": "a-team.claim.audit-ateam-round-types",
      "company_id": "a-team",
      "currency": "USD",
      "event_key": "series-a-2022-05-17",
      "id": "a-team.round.1",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Series A",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 3000000,
      "amount_basis": "new_capital",
      "announced_on": "2011-09",
      "capital_type": "equity",
      "claim_id": "hackerrank.claim.funding_rounds-0",
      "company_id": "hackerrank",
      "currency": "USD",
      "event_key": "parent-series-a-2011-09",
      "id": "hackerrank.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Parent Series A",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 9200000,
      "amount_basis": "new_capital",
      "announced_on": "2014-06-12",
      "capital_type": "equity",
      "claim_id": "hackerrank.claim.funding_rounds-1",
      "company_id": "hackerrank",
      "currency": "USD",
      "event_key": "parent-series-b-2014-06-12",
      "id": "hackerrank.round.1",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Parent Series B",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 30000000,
      "amount_basis": "new_capital",
      "announced_on": "2018-02-13",
      "capital_type": "equity",
      "claim_id": "hackerrank.claim.funding_rounds-2",
      "company_id": "hackerrank",
      "currency": "USD",
      "event_key": "parent-series-c-2018-02-13",
      "id": "hackerrank.round.2",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Parent Series C",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 60000000,
      "amount_basis": "new_capital",
      "announced_on": "2022-03-29",
      "capital_type": "equity",
      "claim_id": "hackerrank.claim.audit-hackerrank-funding-type",
      "company_id": "hackerrank",
      "currency": "USD",
      "event_key": "parent-series-d-2022-03-29",
      "id": "hackerrank.round.3",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Parent Series D",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 600000,
      "amount_basis": "new_capital",
      "announced_on": "2020",
      "capital_type": "equity",
      "claim_id": "pareto.claim.funding_rounds-0",
      "company_id": "pareto",
      "currency": "USD",
      "event_key": "pre-seed-2020",
      "id": "pareto.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Pre-seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 4500000,
      "amount_basis": "new_capital",
      "announced_on": "2022-03-14",
      "capital_type": "equity",
      "claim_id": "pareto.claim.funding_rounds-1",
      "closed_on": "2021-11",
      "company_id": "pareto",
      "currency": "USD",
      "event_key": "seed-2022-03-14",
      "id": "pareto.round.1",
      "include_in_total": true,
      "inclusion_reason": "Research explicitly establishes closed distinct new primary capital; close-date precision retained separately.",
      "qualifier": "exact",
      "round_name": "Seed",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount_basis": "undisclosed",
      "announced_on": "2026",
      "capital_type": "undisclosed",
      "claim_id": "ooak.claim.funding_rounds-0",
      "company_id": "ooak",
      "event_key": "y-combinator-summer-2026-investment-2026",
      "id": "ooak.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Y Combinator Summer 2026 investment",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 55000000,
      "amount_basis": "new_capital",
      "announced_on": "2026-04-09",
      "capital_type": "equity",
      "claim_id": "elorian.claim.audit-financing-0",
      "company_id": "elorian",
      "currency": "USD",
      "event_key": "seed-2026-04-09",
      "id": "elorian.round.0",
      "include_in_total": false,
      "inclusion_reason": "Keep $55M reported funding aggregate visible independently. Counsel confirms financing; exact closing date not specified. Do not add database $30M Seed-2 on top without reconciling tranches.",
      "qualifier": "exact",
      "round_name": "Seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 9000000,
      "amount_basis": "new_capital",
      "announced_on": "undated",
      "capital_type": "equity",
      "claim_id": "terac.claim.audit-terac-capital-type",
      "company_id": "terac",
      "currency": "USD",
      "event_key": "seed-0",
      "id": "terac.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "Seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 100000000,
      "amount_basis": "undisclosed",
      "announced_on": "2025-06-23",
      "capital_type": "undisclosed",
      "claim_id": "laude.claim.audit-laude-pledge",
      "company_id": "laude",
      "currency": "USD",
      "event_key": "philanthropic-anchor-pledge-not-equity-financing--2025-06-23",
      "id": "laude.round.0",
      "include_in_disclosed_primary_sum": false,
      "include_in_total": false,
      "inclusion_reason": "Philanthropic personal pledge; not equity financing, cash received or a commercial funding round. The schema has no donation/pledge capital type, so undisclosed avoids falsely classifying it as equity.",
      "qualifier": "exact",
      "round_name": "Philanthropic anchor pledge (not equity financing)",
      "segment_scope": "company",
      "status": "committed"
    },
    {
      "amount": 1200000,
      "amount_basis": "new_capital",
      "announced_on": "2019-12-04",
      "capital_type": "equity",
      "claim_id": "prolific.claim.audit-financing-0",
      "company_id": "prolific",
      "currency": "USD",
      "event_key": "seed-2019-12-04",
      "id": "prolific.round.0",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 25000000,
      "amount_basis": "new_capital",
      "announced_on": "2023-07-12",
      "capital_type": "equity",
      "claim_id": "prolific.claim.audit-financing-2",
      "closed_on": "2023-06",
      "company_id": "prolific",
      "currency": "GBP",
      "event_key": "series-a-2023-07-12",
      "id": "prolific.round.1",
      "include_in_total": true,
      "inclusion_reason": "Reviewed patch establishes a distinct completed primary financing. Exact close date is retained only when supplied.",
      "qualifier": "exact",
      "round_name": "Series A",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 1500000,
      "amount_basis": "new_capital",
      "announced_on": "2022-12-15",
      "capital_type": "equity",
      "claim_id": "giskard.claim.audit-giskard-round",
      "closed_on": "2022-12-15",
      "company_id": "giskard",
      "currency": "EUR",
      "event_key": "early-equity-2022",
      "id": "giskard.round.0",
      "include_in_total": true,
      "inclusion_reason": "Reviewed patch establishes a distinct completed primary financing. Exact close date is retained only when supplied.",
      "qualifier": "exact",
      "round_name": "early equity",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 3000000,
      "amount_basis": "new_capital",
      "announced_on": "2024-01-11",
      "capital_type": "grant",
      "claim_id": "giskard.claim.funding_rounds-1",
      "company_id": "giskard",
      "currency": "EUR",
      "event_key": "grants-2024-01-11",
      "id": "giskard.round.1",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "grants",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 3000000,
      "amount_basis": "new_capital",
      "announced_on": "2024-07-16",
      "capital_type": "grant",
      "claim_id": "giskard.claim.funding_rounds-2",
      "company_id": "giskard",
      "currency": "EUR",
      "event_key": "grant-consortium-award-2024-07-16",
      "id": "giskard.round.2",
      "include_in_total": false,
      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "grant / consortium award",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 2400000,
      "amount_basis": "new_capital",
      "announced_on": "2024-06-05",
      "capital_type": "equity",
      "claim_id": "alinia.claim.audit-alinia-rounds",
      "company_id": "alinia",
      "currency": "USD",
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      "id": "alinia.round.0",
      "include_in_total": true,
      "inclusion_reason": "Reviewed patch establishes a distinct completed primary financing. Exact close date is retained only when supplied.",
      "qualifier": "exact",
      "round_name": "pre-seed",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 7500000,
      "amount_basis": "new_capital",
      "announced_on": "2025-12-04",
      "capital_type": "equity",
      "claim_id": "alinia.claim.audit-alinia-rounds",
      "company_id": "alinia",
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      "include_in_total": true,
      "inclusion_reason": "Reviewed patch establishes a distinct completed primary financing. Exact close date is retained only when supplied.",
      "qualifier": "exact",
      "round_name": "seed",
      "segment_scope": "company",
      "status": "closed"
    },
    {
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      "announced_on": "2026-01-09",
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      "claim_id": "apto.claim.funding_rounds-0",
      "company_id": "apto",
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      "inclusion_reason": "Excluded unless closing, distinct new capital, precise amount, and capital type are explicitly supported. Original research remains linked.",
      "qualifier": "exact",
      "round_name": "venture equity",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 7500000,
      "amount_basis": "new_capital",
      "announced_on": "2015-07-14",
      "capital_type": "equity",
      "claim_id": "hackerrank.claim.audit-hackerrank-recruit-round",
      "company_id": "hackerrank",
      "currency": "USD",
      "event_key": "hackerrank.round.recruit-2015",
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      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Strategic investment",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 3600000,
      "amount_basis": "new_capital",
      "announced_on": "2024-01-10",
      "capital_type": "equity",
      "claim_id": "mercor.claim.major-funding_rounds-0",
      "company_id": "mercor",
      "currency": "USD",
      "event_key": "mercor.round.major-0",
      "id": "mercor.round.major-0",
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Seed",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 30000000,
      "amount_basis": "new_capital",
      "announced_on": "2024-09-19",
      "capital_type": "equity",
      "claim_id": "mercor.claim.major-funding_rounds-1",
      "company_id": "mercor",
      "currency": "USD",
      "event_key": "mercor.round.major-1",
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      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series A",
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      "status": "announced"
    },
    {
      "amount": 100000000,
      "amount_basis": "new_capital",
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      "capital_type": "equity",
      "claim_id": "mercor.claim.major-funding_rounds-2",
      "company_id": "mercor",
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      "event_key": "mercor.round.major-2",
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      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series B",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 350000000,
      "amount_basis": "new_capital",
      "announced_on": "2025-10-27",
      "capital_type": "equity",
      "claim_id": "mercor.claim.major-funding_rounds-3",
      "company_id": "mercor",
      "currency": "USD",
      "event_key": "mercor.round.major-3",
      "id": "mercor.round.major-3",
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series C",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 15000000,
      "amount_basis": "new_capital",
      "announced_on": "2020-07-14",
      "capital_type": "equity",
      "claim_id": "snorkel_ai.claim.major-funding_rounds-0",
      "company_id": "snorkel_ai",
      "currency": "USD",
      "event_key": "snorkel_ai.round.major-0",
      "id": "snorkel_ai.round.major-0",
      "include_in_total": false,
      "inclusion_reason": "Greylock and GV co-led Spring 2019 seed; Greylock led Fall 2019 Series A. $15M is combined announcement, not an additional 2020 round.",
      "qualifier": "exact",
      "round_name": "Seed and Series A combined disclosure",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 35000000,
      "amount_basis": "new_capital",
      "announced_on": "2021-04-05",
      "capital_type": "equity",
      "claim_id": "snorkel_ai.claim.major-funding_rounds-1",
      "company_id": "snorkel_ai",
      "currency": "USD",
      "event_key": "snorkel_ai.round.major-1",
      "id": "snorkel_ai.round.major-1",
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series B",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 85000000,
      "amount_basis": "new_capital",
      "announced_on": "2021-08-09",
      "capital_type": "equity",
      "claim_id": "snorkel_ai.claim.major-funding_rounds-2",
      "company_id": "snorkel_ai",
      "currency": "USD",
      "event_key": "snorkel_ai.round.major-2",
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      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series C",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 100000000,
      "amount_basis": "new_capital",
      "announced_on": "2025-05-29",
      "capital_type": "equity",
      "claim_id": "snorkel_ai.claim.major-funding_rounds-3",
      "company_id": "snorkel_ai",
      "currency": "USD",
      "event_key": "snorkel_ai.round.major-3",
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      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
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      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount_basis": "undisclosed",
      "announced_on": "2025-08-06",
      "capital_type": "equity",
      "claim_id": "snorkel_ai.claim.major-funding_rounds-4",
      "company_id": "snorkel_ai",
      "event_key": "snorkel_ai.round.major-4",
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      "include_in_total": false,
      "inclusion_reason": "Amount and overlap with Series D not disclosed; not added to disclosed-round subtotal.",
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    },
    {
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      "round_name": "Series F primary and secondary financing",
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    {
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      "amount_basis": "mixed_transaction",
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      "capital_type": "mixed",
      "claim_id": "scale_ai.claim.major-funding_rounds-6",
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      "inclusion_reason": "Includes ownership transfer or shareholder liquidity; not a pure primary-capital amount. Separate strategic transaction with shareholder distributions. Not cumulative funding. Meta filing records $13.79B in non-marketable equity; that accounting component is not the full consideration.",
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      "round_name": "Meta strategic equity investment",
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      "capital_type": "equity",
      "claim_id": "appen.claim.major-funding_rounds-3",
      "company_id": "appen",
      "currency": "AUD",
      "event_key": "appen.round.major-3",
      "id": "appen.round.major-3",
      "include_in_disclosed_primary_sum": true,
      "include_in_total": true,
      "inclusion_reason": "Completed primary financing evidenced in the audited source register and final QA. Exact cash-close date is not inferred from announcement date. Selected schedule may be incomplete. ",
      "qualifier": "exact",
      "round_name": "Share purchase plan",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 285000000,
      "amount_basis": "new_capital",
      "announced_on": "2019-03-12",
      "capital_type": "equity",
      "claim_id": "appen.claim.major-funding_rounds-4",
      "company_id": "appen",
      "currency": "AUD",
      "event_key": "appen.round.major-4",
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      "include_in_total": true,
      "inclusion_reason": "Completed primary financing evidenced in the audited source register and final QA. Exact cash-close date is not inferred from announcement date. Selected schedule may be incomplete. Figure Eight acquisition financing; underwriters are not automatically investors.",
      "qualifier": "exact",
      "round_name": "Institutional placement",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 15000000,
      "amount_basis": "new_capital",
      "announced_on": "2019-04-08",
      "capital_type": "equity",
      "claim_id": "appen.claim.major-funding_rounds-5",
      "company_id": "appen",
      "currency": "AUD",
      "event_key": "appen.round.major-5",
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      "include_in_total": true,
      "inclusion_reason": "Completed primary financing evidenced in the audited source register and final QA. Exact cash-close date is not inferred from announcement date. Selected schedule may be incomplete. ",
      "qualifier": "exact",
      "round_name": "Share purchase plan",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 60000000,
      "amount_basis": "new_capital",
      "announced_on": "2023-06",
      "capital_type": "equity",
      "claim_id": "appen.claim.major-funding_rounds-6",
      "company_id": "appen",
      "currency": "AUD",
      "event_key": "appen.round.major-6",
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      "include_in_disclosed_primary_sum": true,
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Equity capital raise",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 30000000,
      "amount_basis": "new_capital",
      "announced_on": "2023-12",
      "capital_type": "equity",
      "claim_id": "appen.claim.major-funding_rounds-7",
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      "include_in_total": false,
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    },
    {
      "amount": 50000000,
      "amount_basis": "new_capital",
      "announced_on": "2024-10-14",
      "capital_type": "equity",
      "claim_id": "appen.claim.major-funding_rounds-8",
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      "include_in_total": true,
      "inclusion_reason": "Completed primary financing evidenced in the audited source register and final QA. Exact cash-close date is not inferred from announcement date. Selected schedule may be incomplete. ",
      "qualifier": "exact",
      "round_name": "Institutional placement",
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      "status": "closed"
    },
    {
      "amount": 15000000,
      "amount_basis": "new_capital",
      "announced_on": "2024-11-07",
      "capital_type": "equity",
      "claim_id": "appen.claim.major-funding_rounds-9",
      "company_id": "appen",
      "currency": "AUD",
      "event_key": "appen.round.major-9",
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      "include_in_disclosed_primary_sum": true,
      "include_in_total": true,
      "inclusion_reason": "Completed primary financing evidenced in the audited source register and final QA. Exact cash-close date is not inferred from announcement date. Selected schedule may be incomplete. Completed amount increased from the original A$5M target. Combined 2024 gross raise A$65M, not A$55M.",
      "qualifier": "exact",
      "round_name": "Share purchase plan",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 3500000,
      "amount_basis": "new_capital",
      "announced_on": "2015-10-21",
      "capital_type": "undisclosed",
      "claim_id": "imerit.claim.expansion-imerit-2015-round",
      "company_id": "imerit",
      "currency": "USD",
      "event_key": "imerit.round.imerit-2015-round",
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      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Funding round (commonly labeled Series A)",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 20000000,
      "amount_basis": "new_capital",
      "announced_on": "2020-02-18",
      "capital_type": "equity",
      "claim_id": "imerit.claim.expansion-imerit-2020-round",
      "company_id": "imerit",
      "currency": "USD",
      "event_key": "imerit.round.imerit-2020-round",
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      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series B",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount_basis": "undisclosed",
      "announced_on": "undated",
      "capital_type": "undisclosed",
      "claim_id": "sama.claim.expansion-sama-2017",
      "company_id": "sama",
      "event_key": "sama.round.sama-2017",
      "id": "sama.round.sama-2017",
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Financing event",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 14800000,
      "amount_basis": "new_capital",
      "announced_on": "2019-11-20",
      "capital_type": "undisclosed",
      "claim_id": "sama.claim.expansion-sama-series-a",
      "company_id": "sama",
      "currency": "USD",
      "event_key": "sama.round.sama-series-a",
      "id": "sama.round.sama-series-a",
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series A",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 70000000,
      "amount_basis": "new_capital",
      "announced_on": "2021-11-04",
      "capital_type": "undisclosed",
      "claim_id": "sama.claim.expansion-sama-series-b",
      "company_id": "sama",
      "currency": "USD",
      "event_key": "sama.round.sama-series-b",
      "id": "sama.round.sama-series-b",
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "Series B",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 15000000,
      "amount_basis": "new_capital",
      "announced_on": "2015-06-08",
      "capital_type": "equity",
      "claim_id": "taskus.claim.financing-0",
      "company_id": "taskus",
      "currency": "USD",
      "event_key": "taskus.round.0",
      "id": "taskus.round.0",
      "include_in_total": false,
      "inclusion_reason": "Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "private_equity",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 250000000,
      "amount_basis": "mixed_transaction",
      "announced_on": "2018-08-09",
      "capital_type": "mixed",
      "claim_id": "taskus.claim.financing-1",
      "company_id": "taskus",
      "currency": "USD",
      "event_key": "taskus.round.1",
      "id": "taskus.round.1",
      "include_in_total": false,
      "inclusion_reason": "Includes ownership transfer or shareholder liquidity; not a pure primary-capital amount. Announced transaction, shown independently of complete lifetime funding. A distinct close and capital allocation are required for the strict closed-primary subtotal.",
      "qualifier": "exact",
      "round_name": "private_equity_control_transaction",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount": 303600000,
      "amount_basis": "mixed_transaction",
      "announced_on": "2021-06-10",
      "capital_type": "mixed",
      "claim_id": "taskus.claim.financing-2",
      "company_id": "taskus",
      "currency": "USD",
      "event_key": "taskus.round.2",
      "id": "taskus.round.2",
      "include_in_total": false,
      "inclusion_reason": "Includes ownership transfer or shareholder liquidity; not a pure primary-capital amount. Selling holders also offered shares; TaskUs received no proceeds from secondary shares. $303.6m is arithmetic gross offering value, not all company funding. Excludes 1.98m-share underwriter option.",
      "qualifier": "exact",
      "round_name": "initial_public_offering",
      "segment_scope": "company",
      "status": "closed"
    },
    {
      "amount_basis": "undisclosed",
      "announced_on": "2025-05-09",
      "capital_type": "mixed",
      "claim_id": "taskus.claim.financing-3",
      "company_id": "taskus",
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      "qualifier": "exact",
      "round_name": "proposed_take_private",
      "segment_scope": "company",
      "status": "cancelled"
    },
    {
      "amount": 100000000,
      "amount_basis": "undisclosed",
      "announced_on": "2026-10-14",
      "capital_type": "mixed",
      "claim_id": "labelbox.claim.oct14-series-e",
      "company_id": "labelbox",
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      "event_key": "series-e-2026-10-14-financing",
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      "include_in_total": false,
      "inclusion_reason": "Company reports financing above $100M combining equity and a credit facility. Component amounts and facility drawdown are undisclosed. Excluded from exact equity and closed-primary subtotals.",
      "qualifier": "greater_than",
      "round_name": "Series E · equity and credit",
      "segment_scope": "company",
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    },
    {
      "amount_basis": "new_capital",
      "announced_on": "2026-10-14",
      "capital_type": "debt",
      "claim_id": "labelbox.claim.oct14-series-e",
      "company_id": "labelbox",
      "event_key": "series-e-2026-10-14-credit",
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      "include_in_disclosed_primary_sum": false,
      "include_in_total": false,
      "inclusion_reason": "Component of the reported Series E financing above $100M, not an additional separately quantified round. Facility size and drawdown are undisclosed; excluded from totals.",
      "parent_round_id": "labelbox.round.oct14-equity",
      "qualifier": "exact",
      "round_name": "Series E credit facility component",
      "segment_scope": "company",
      "status": "announced"
    },
    {
      "amount": 25000000,
      "amount_basis": "undisclosed",
      "announced_on": "2026-10-12",
      "capital_type": "secondary",
      "claim_id": "micro1.claim.oct14-series-b-priced",
      "company_id": "micro1",
      "currency": "USD",
      "event_key": "employee-tender-2026-10-12",
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      "include_in_total": false,
      "inclusion_reason": "Secondary employee liquidity; never included in primary financing totals.",
      "qualifier": "approximate",
      "round_name": "Employee tender",
      "segment_scope": "company",
      "status": "announced"
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  ],
  "investors": [
    {
      "id": "investor.general-catalyst",
      "name": "General Catalyst"
    },
    {
      "id": "investor.scott-sandell",
      "name": "Scott Sandell"
    },
    {
      "id": "investor.soma-capital",
      "name": "Soma Capital"
    },
    {
      "id": "investor.link-ventures",
      "name": "Link Ventures"
    },
    {
      "id": "investor.2-twelve-angels",
      "name": "2 | Twelve Angels"
    },
    {
      "id": "investor.benchmark",
      "name": "Benchmark"
    },
    {
      "id": "investor.peter-thiel",
      "name": "Peter Thiel"
    },
    {
      "id": "investor.jack-dorsey",
      "name": "Jack Dorsey"
    },
    {
      "id": "investor.adam-d-angelo",
      "name": "Adam D’Angelo"
    },
    {
      "id": "investor.larry-summers",
      "name": "Larry Summers"
    },
    {
      "id": "investor.chris-r",
      "name": "Chris Ré"
    },
    {
      "id": "investor.felicis",
      "name": "Felicis"
    },
    {
      "id": "investor.menlo-ventures",
      "name": "Menlo Ventures"
    },
    {
      "id": "investor.robinhood-ventures",
      "name": "Robinhood Ventures"
    },
    {
      "id": "investor.greylock",
      "name": "Greylock"
    },
    {
      "id": "investor.gv",
      "name": "GV"
    },
    {
      "id": "investor.in-q-tel",
      "name": "In-Q-Tel"
    },
    {
      "id": "investor.lightspeed-venture-partners",
      "name": "Lightspeed Venture Partners"
    },
    {
      "id": "investor.nepenthe-capital",
      "name": "Nepenthe Capital"
    },
    {
      "id": "investor.walden",
      "name": "Walden"
    },
    {
      "id": "investor.blackrock-managed-funds",
      "name": "BlackRock-managed funds"
    },
    {
      "id": "investor.addition",
      "name": "Addition"
    },
    {
      "id": "investor.lightspeed",
      "name": "Lightspeed"
    },
    {
      "id": "investor.nepenthe",
      "name": "Nepenthe"
    },
    {
      "id": "investor.prosperity7-ventures",
      "name": "Prosperity7 Ventures"
    },
    {
      "id": "investor.qbe-ventures",
      "name": "QBE Ventures"
    },
    {
      "id": "investor.accenture-ventures",
      "name": "Accenture Ventures"
    },
    {
      "id": "investor.insight-partners",
      "name": "Insight Partners"
    },
    {
      "id": "investor.s32",
      "name": "S32"
    },
    {
      "id": "investor.third-point",
      "name": "Third Point"
    },
    {
      "id": "investor.march",
      "name": "March"
    },
    {
      "id": "investor.blumberg",
      "name": "Blumberg"
    },
    {
      "id": "investor.allegis",
      "name": "Allegis"
    },
    {
      "id": "investor.standard-vc",
      "name": "Standard VC"
    },
    {
      "id": "investor.frontline",
      "name": "Frontline"
    },
    {
      "id": "investor.prosperity7",
      "name": "Prosperity7"
    },
    {
      "id": "investor.wells-fargo",
      "name": "Wells Fargo"
    },
    {
      "id": "investor.walden-catalyst",
      "name": "Walden Catalyst"
    },
    {
      "id": "investor.factory",
      "name": "Factory"
    },
    {
      "id": "investor.eqt-ventures",
      "name": "EQT Ventures"
    },
    {
      "id": "investor.chan-zuckerberg-initiative",
      "name": "Chan Zuckerberg Initiative"
    },
    {
      "id": "investor.omidyar-network",
      "name": "Omidyar Network"
    },
    {
      "id": "investor.reach-capital",
      "name": "Reach Capital"
    },
    {
      "id": "investor.ggv-capital",
      "name": "GGV Capital"
    },
    {
      "id": "investor.kleiner-perkins",
      "name": "Kleiner Perkins"
    },
    {
      "id": "investor.spark-capital",
      "name": "Spark Capital"
    },
    {
      "id": "investor.true-ventures",
      "name": "True Ventures"
    },
    {
      "id": "investor.emerson-collective",
      "name": "Emerson Collective"
    },
    {
      "id": "investor.imaginable-futures",
      "name": "Imaginable Futures"
    },
    {
      "id": "investor.coatue-management",
      "name": "Coatue Management"
    },
    {
      "id": "investor.valiant-peregrine-fund",
      "name": "Valiant Peregrine Fund"
    },
    {
      "id": "investor.base10-advancement-initiative",
      "name": "Base10 Advancement Initiative"
    },
    {
      "id": "investor.01a",
      "name": "01A"
    },
    {
      "id": "investor.two-unnamed-frontier-labs",
      "name": "two unnamed frontier labs"
    },
    {
      "id": "investor.two-unnamed-xai-cofounders",
      "name": "two unnamed xAI cofounders"
    },
    {
      "id": "investor.tiger-global",
      "name": "Tiger Global"
    },
    {
      "id": "investor.dragoneer",
      "name": "Dragoneer"
    },
    {
      "id": "investor.greenoaks-capital",
      "name": "Greenoaks Capital"
    },
    {
      "id": "investor.wellington-management",
      "name": "Wellington Management"
    },
    {
      "id": "investor.durable-capital",
      "name": "Durable Capital"
    },
    {
      "id": "investor.coatue",
      "name": "Coatue"
    },
    {
      "id": "investor.index",
      "name": "Index"
    },
    {
      "id": "investor.founders-fund",
      "name": "Founders Fund"
    },
    {
      "id": "investor.y-combinator",
      "name": "Y Combinator"
    },
    {
      "id": "investor.accel",
      "name": "Accel"
    },
    {
      "id": "investor.nat-friedman",
      "name": "Nat Friedman"
    },
    {
      "id": "investor.index-ventures",
      "name": "Index Ventures"
    },
    {
      "id": "investor.thrive-capital",
      "name": "Thrive Capital"
    },
    {
      "id": "investor.nvidia",
      "name": "NVIDIA"
    },
    {
      "id": "investor.greenoaks",
      "name": "Greenoaks"
    },
    {
      "id": "investor.wellington",
      "name": "Wellington"
    },
    {
      "id": "investor.cisco-investments",
      "name": "Cisco Investments"
    },
    {
      "id": "investor.dfj-growth",
      "name": "DFJ Growth"
    },
    {
      "id": "investor.intel-capital",
      "name": "Intel Capital"
    },
    {
      "id": "investor.servicenow-ventures",
      "name": "ServiceNow Ventures"
    },
    {
      "id": "investor.amd-ventures",
      "name": "AMD Ventures"
    },
    {
      "id": "investor.wcm",
      "name": "WCM"
    },
    {
      "id": "investor.amazon",
      "name": "Amazon"
    },
    {
      "id": "investor.elad-gil",
      "name": "Elad Gil"
    },
    {
      "id": "investor.meta",
      "name": "Meta"
    },
    {
      "id": "investor.qualcomm-ventures",
      "name": "Qualcomm Ventures"
    },
    {
      "id": "investor.foundation-capital",
      "name": "Foundation Capital"
    },
    {
      "id": "investor.westbridge-capital",
      "name": "WestBridge Capital"
    },
    {
      "id": "investor.altair-capital",
      "name": "AltaIR Capital"
    },
    {
      "id": "investor.mindset-ventures",
      "name": "Mindset Ventures"
    },
    {
      "id": "investor.frontier-ventures",
      "name": "Frontier Ventures"
    },
    {
      "id": "investor.gaingels",
      "name": "Gaingels"
    },
    {
      "id": "investor.stepstone-group",
      "name": "StepStone Group"
    },
    {
      "id": "investor.khazanah-nasional-berhad",
      "name": "Khazanah Nasional Berhad"
    },
    {
      "id": "investor.sozo-ventures",
      "name": "Sozo Ventures"
    },
    {
      "id": "investor.uphonest-capital",
      "name": "UpHonest Capital"
    },
    {
      "id": "investor.amino-capital",
      "name": "Amino Capital"
    },
    {
      "id": "investor.plug-and-play",
      "name": "Plug and Play"
    },
    {
      "id": "investor.mvp-ventures",
      "name": "MVP Ventures"
    },
    {
      "id": "investor.fortius-ventures",
      "name": "Fortius Ventures"
    },
    {
      "id": "investor.mastodon-capital-management",
      "name": "Mastodon Capital Management"
    },
    {
      "id": "investor.first-round-capital",
      "name": "First Round Capital"
    },
    {
      "id": "investor.gradient-ventures",
      "name": "Gradient Ventures"
    },
    {
      "id": "investor.andreessen-horowitz",
      "name": "Andreessen Horowitz"
    },
    {
      "id": "investor.b-capital-group",
      "name": "B Capital Group"
    },
    {
      "id": "investor.databricks-ventures",
      "name": "Databricks Ventures"
    },
    {
      "id": "investor.snowpoint-ventures",
      "name": "Snowpoint Ventures"
    },
    {
      "id": "investor.distributed-global",
      "name": "Distributed Global"
    },
    {
      "id": "investor.coinfund",
      "name": "CoinFund"
    },
    {
      "id": "investor.compound",
      "name": "Compound"
    },
    {
      "id": "investor.collab-currency",
      "name": "Collab+Currency"
    },
    {
      "id": "investor.juan-benet-protocol-labs",
      "name": "Juan Benet / Protocol Labs"
    },
    {
      "id": "investor.clem-delangue",
      "name": "Clem Delangue"
    },
    {
      "id": "investor.andrej-karpathy",
      "name": "Andrej Karpathy"
    },
    {
      "id": "investor.dylan-patel",
      "name": "Dylan Patel"
    },
    {
      "id": "investor.tri-dao",
      "name": "Tri Dao"
    },
    {
      "id": "investor.emad-mostaque",
      "name": "Emad Mostaque"
    },
    {
      "id": "investor.jake-medwell",
      "name": "Jake Medwell"
    },
    {
      "id": "investor.radical-ventures",
      "name": "Radical Ventures"
    },
    {
      "id": "investor.nvidia-ventures",
      "name": "NVIDIA Ventures"
    },
    {
      "id": "investor.dell-technologies-capital",
      "name": "Dell Technologies Capital"
    },
    {
      "id": "investor.existing-investors-and-angels",
      "name": "existing investors and angels"
    },
    {
      "id": "investor.nfx-lead",
      "name": "NFX (lead)"
    },
    {
      "id": "investor.insight-partners-co-lead",
      "name": "Insight Partners (co-lead)"
    },
    {
      "id": "investor.tiger-global-co-lead",
      "name": "Tiger Global (co-lead)"
    },
    {
      "id": "investor.spruce-house-the-spruce-house-partnership-co-lead",
      "name": "Spruce House / The Spruce House Partnership (co-lead)"
    },
    {
      "id": "investor.khosla-ventures",
      "name": "Khosla Ventures"
    },
    {
      "id": "investor.battery-ventures",
      "name": "Battery Ventures"
    },
    {
      "id": "investor.peeyush-ranjan",
      "name": "Peeyush Ranjan"
    },
    {
      "id": "investor.greg-badros",
      "name": "Greg Badros"
    },
    {
      "id": "investor.dan-rubinstein",
      "name": "Dan Rubinstein"
    },
    {
      "id": "investor.jmi-equity-lead",
      "name": "JMI Equity (lead)"
    },
    {
      "id": "investor.randstad",
      "name": "Randstad"
    },
    {
      "id": "investor.chartline-capital-partners",
      "name": "Chartline Capital Partners"
    },
    {
      "id": "investor.susquehanna-growth-equity-lead",
      "name": "Susquehanna Growth Equity (lead)"
    },
    {
      "id": "investor.foothill-ventures",
      "name": "Foothill Ventures"
    },
    {
      "id": "investor.sogal-ventures",
      "name": "SoGal Ventures"
    },
    {
      "id": "investor.mac-venture-capital-lead",
      "name": "MaC Venture Capital (lead)"
    },
    {
      "id": "investor.seabed-vc",
      "name": "Seabed VC"
    },
    {
      "id": "investor.fearless-fund",
      "name": "Fearless Fund"
    },
    {
      "id": "investor.liquid-2-ventures",
      "name": "Liquid 2 Ventures"
    },
    {
      "id": "investor.slope",
      "name": "Slope"
    },
    {
      "id": "investor.jonathan-swanson-and-other-angels",
      "name": "Jonathan Swanson and other angels"
    },
    {
      "id": "investor.49-palms",
      "name": "49 Palms"
    },
    {
      "id": "investor.emergence",
      "name": "Emergence"
    },
    {
      "id": "investor.signalfire",
      "name": "SignalFire"
    },
    {
      "id": "investor.audacious",
      "name": "Audacious"
    },
    {
      "id": "investor.z-fellows",
      "name": "Z Fellows"
    },
    {
      "id": "investor.andy-konwinski",
      "name": "Andy Konwinski"
    },
    {
      "id": "investor.altos-ventures",
      "name": "Altos Ventures"
    },
    {
      "id": "investor.the-raine-group",
      "name": "The Raine Group"
    },
    {
      "id": "investor.boxgroup",
      "name": "BoxGroup"
    },
    {
      "id": "investor.latitude-capital",
      "name": "Latitude Capital"
    },
    {
      "id": "investor.pioneer-fund",
      "name": "Pioneer Fund"
    },
    {
      "id": "investor.partech",
      "name": "Partech"
    },
    {
      "id": "investor.oxford-science-enterprises",
      "name": "Oxford Science Enterprises"
    },
    {
      "id": "investor.striker-ventures",
      "name": "Striker Ventures"
    },
    {
      "id": "investor.altimeter",
      "name": "Altimeter"
    },
    {
      "id": "investor.jeff-dean",
      "name": "Jeff Dean"
    },
    {
      "id": "investor.john-schulman",
      "name": "John Schulman"
    },
    {
      "id": "investor.karim-atiyeh",
      "name": "Karim Atiyeh"
    },
    {
      "id": "investor.aaron-levie",
      "name": "Aaron Levie"
    },
    {
      "id": "investor.dwarkesh-patel",
      "name": "Dwarkesh Patel"
    },
    {
      "id": "investor.milan-kovac",
      "name": "Milan Kovac"
    },
    {
      "id": "investor.winston-weinberg",
      "name": "Winston Weinberg"
    },
    {
      "id": "investor.mike-knoop",
      "name": "Mike Knoop"
    },
    {
      "id": "investor.asher-spector",
      "name": "Asher Spector"
    },
    {
      "id": "investor.jeff-wang",
      "name": "Jeff Wang"
    },
    {
      "id": "investor.rohan-anil",
      "name": "Rohan Anil"
    },
    {
      "id": "investor.matthew-prince",
      "name": "Matthew Prince"
    },
    {
      "id": "investor.brendan-foody",
      "name": "Brendan Foody"
    },
    {
      "id": "investor.devansh-pandey",
      "name": "Devansh Pandey"
    },
    {
      "id": "investor.harrison-chase",
      "name": "Harrison Chase"
    },
    {
      "id": "investor.nic-ouporov",
      "name": "Nic Ouporov"
    },
    {
      "id": "investor.recruit-holdings-hr-technology-fund",
      "name": "Recruit Holdings HR Technology Fund"
    },
    {
      "id": "investor.elaia",
      "name": "Elaia"
    },
    {
      "id": "investor.bessemer-venture-partners",
      "name": "Bessemer Venture Partners"
    },
    {
      "id": "investor.julien-chaumond",
      "name": "Julien Chaumond"
    },
    {
      "id": "investor.oscar-salazar",
      "name": "Oscar Salazar"
    },
    {
      "id": "investor.christine-balagu",
      "name": "Christine Balagué"
    },
    {
      "id": "investor.nathalie-gaveau",
      "name": "Nathalie Gaveau"
    },
    {
      "id": "investor.charles-gorintin",
      "name": "Charles Gorintin"
    },
    {
      "id": "investor.nick-hernandez",
      "name": "Nick Hernandez"
    },
    {
      "id": "investor.vincent-huguet",
      "name": "Vincent Huguet"
    },
    {
      "id": "investor.sh-h-razade-semsar-de-boiss-son",
      "name": "Shéhérazade Semsar de Boisséson"
    },
    {
      "id": "investor.chris-schagen",
      "name": "Chris Schagen"
    },
    {
      "id": "investor.victor-coisne",
      "name": "Victor Coisne"
    },
    {
      "id": "investor.speedinvest",
      "name": "Speedinvest"
    },
    {
      "id": "investor.precursor-ventures",
      "name": "Precursor Ventures"
    },
    {
      "id": "investor.k-fund",
      "name": "K Fund"
    },
    {
      "id": "investor.preston-werner-ventures",
      "name": "Preston-Werner Ventures"
    },
    {
      "id": "investor.cl-ment-delangue",
      "name": "Clément Delangue"
    },
    {
      "id": "investor.thomas-wolf",
      "name": "Thomas Wolf"
    },
    {
      "id": "investor.tom-preston-werner",
      "name": "Tom Preston-Werner"
    },
    {
      "id": "investor.xavier-amatriain",
      "name": "Xavier Amatriain"
    },
    {
      "id": "investor.oriol-vinyals",
      "name": "Oriol Vinyals"
    },
    {
      "id": "investor.mouro-capital",
      "name": "Mouro Capital"
    },
    {
      "id": "investor.raise-seed-for-good",
      "name": "Raise Seed For Good"
    },
    {
      "id": "investor.mitsui-sumitomo-insurance-venture-capital",
      "name": "Mitsui Sumitomo Insurance Venture Capital"
    },
    {
      "id": "investor.anobaka",
      "name": "ANOBAKA"
    },
    {
      "id": "investor.gree-ventures",
      "name": "Gree Ventures"
    },
    {
      "id": "investor.ntvp",
      "name": "NTVP"
    },
    {
      "id": "investor.kazutaka-muraguchi",
      "name": "Kazutaka Muraguchi"
    },
    {
      "id": "investor.canal-ventures",
      "name": "Canal Ventures"
    },
    {
      "id": "investor.8vc",
      "name": "8VC"
    },
    {
      "id": "investor.spiros-xanthos",
      "name": "Spiros Xanthos"
    },
    {
      "id": "investor.dheeraj-pandey",
      "name": "Dheeraj Pandey"
    },
    {
      "id": "investor.wing-venture-capital",
      "name": "Wing Venture Capital"
    },
    {
      "id": "investor.mayfield",
      "name": "Mayfield"
    },
    {
      "id": "investor.the-house-fund",
      "name": "The House Fund"
    },
    {
      "id": "investor.tristan-handy",
      "name": "Tristan Handy"
    },
    {
      "id": "investor.sv-angel",
      "name": "SV Angel"
    },
    {
      "id": "investor.chemistry",
      "name": "Chemistry"
    },
    {
      "id": "investor.diede-van-lamoen-go-global-ventures",
      "name": "Diede van Lamoen / Go Global Ventures"
    },
    {
      "id": "investor.liam-fedus",
      "name": "Liam Fedus"
    },
    {
      "id": "investor.kevin-weil",
      "name": "Kevin Weil"
    },
    {
      "id": "investor.erik-bernhardsson",
      "name": "Erik Bernhardsson"
    },
    {
      "id": "investor.heartcore-capital",
      "name": "Heartcore Capital"
    },
    {
      "id": "investor.inovo",
      "name": "Inovo"
    },
    {
      "id": "investor.afore-capital",
      "name": "Afore Capital"
    },
    {
      "id": "investor.homebrew",
      "name": "Homebrew"
    },
    {
      "id": "investor.balaji-srinivasan",
      "name": "Balaji Srinivasan"
    },
    {
      "id": "investor.base10-partners",
      "name": "Base10 Partners"
    },
    {
      "id": "investor.cervin-ventures",
      "name": "Cervin Ventures"
    },
    {
      "id": "investor.founders-future",
      "name": "Founders Future"
    },
    {
      "id": "investor.scribble-ventures",
      "name": "Scribble Ventures"
    },
    {
      "id": "investor.firestreak",
      "name": "Firestreak"
    },
    {
      "id": "investor.christian-beedgen",
      "name": "Christian Beedgen"
    },
    {
      "id": "investor.ivan-zhang",
      "name": "Ivan Zhang"
    },
    {
      "id": "investor.umesh-khanna",
      "name": "Umesh Khanna"
    },
    {
      "id": "investor.soheil-koushan",
      "name": "Soheil Koushan"
    },
    {
      "id": "investor.shyamal-hitesh-anadkat",
      "name": "Shyamal Hitesh Anadkat"
    },
    {
      "id": "investor.dst-global-partners",
      "name": "DST Global Partners"
    },
    {
      "id": "investor.antler-elevate",
      "name": "Antler Elevate"
    },
    {
      "id": "investor.greg-brockman",
      "name": "Greg Brockman"
    },
    {
      "id": "investor.charlie-cheever",
      "name": "Charlie Cheever"
    },
    {
      "id": "investor.jonathan-swanson",
      "name": "Jonathan Swanson"
    },
    {
      "id": "investor.guillermo-rauch",
      "name": "Guillermo Rauch"
    },
    {
      "id": "investor.ilya-sukhar",
      "name": "Ilya Sukhar"
    },
    {
      "id": "investor.drew-houston",
      "name": "Drew Houston"
    },
    {
      "id": "investor.justin-kan",
      "name": "Justin Kan"
    },
    {
      "id": "investor.kevin-systrom",
      "name": "Kevin Systrom"
    },
    {
      "id": "investor.mike-krieger",
      "name": "Mike Krieger"
    },
    {
      "id": "investor.catherine-wood",
      "name": "Catherine Wood"
    },
    {
      "id": "investor.softbank-vision-fund-2",
      "name": "SoftBank Vision Fund 2"
    },
    {
      "id": "investor.backed-ventures",
      "name": "Backed Ventures"
    },
    {
      "id": "investor.loup-ventures",
      "name": "Loup Ventures"
    },
    {
      "id": "investor.horizons-alpha",
      "name": "Horizons Alpha"
    },
    {
      "id": "investor.greycroft",
      "name": "Greycroft"
    },
    {
      "id": "investor.vanara-capital",
      "name": "Vanara Capital"
    },
    {
      "id": "investor.princeville-capital",
      "name": "Princeville Capital"
    },
    {
      "id": "investor.hof-capital",
      "name": "HOF Capital"
    },
    {
      "id": "investor.freestyle-capital",
      "name": "Freestyle Capital"
    },
    {
      "id": "investor.rocketeer-management",
      "name": "Rocketeer Management"
    },
    {
      "id": "investor.tallwoods-capital",
      "name": "Tallwoods Capital"
    },
    {
      "id": "investor.acrew-capital",
      "name": "Acrew Capital"
    },
    {
      "id": "investor.backed-vc",
      "name": "Backed VC"
    },
    {
      "id": "investor.by-ventures",
      "name": "BY Ventures"
    },
    {
      "id": "investor.deepwater-asset-management",
      "name": "Deepwater Asset Management"
    },
    {
      "id": "investor.bezos-expeditions",
      "name": "Bezos Expeditions"
    },
    {
      "id": "investor.mikhail-parakhin",
      "name": "Mikhail Parakhin"
    },
    {
      "id": "investor.nebius-group",
      "name": "Nebius Group"
    },
    {
      "id": "investor.anacacia-capital",
      "name": "Anacacia Capital"
    },
    {
      "id": "investor.public-and-institutional-investors",
      "name": "Public and institutional investors"
    },
    {
      "id": "investor.unnamed-institutional-and-professional-investors",
      "name": "Unnamed institutional and professional investors"
    },
    {
      "id": "investor.eligible-existing-shareholders",
      "name": "Eligible existing shareholders"
    },
    {
      "id": "investor.unnamed-institutional-investors",
      "name": "Unnamed institutional investors"
    },
    {
      "id": "investor.public-market-investors-names-not-disclosed",
      "name": "Public-market investors; names not disclosed"
    },
    {
      "id": "investor.michael-and-susan-dell-foundation",
      "name": "Michael and Susan Dell Foundation"
    },
    {
      "id": "investor.khosla-impact",
      "name": "Khosla Impact"
    },
    {
      "id": "investor.cdc-group-now-british-international-investment",
      "name": "CDC Group (now British International Investment)"
    },
    {
      "id": "investor.british-international-investment-cdc-group",
      "name": "British International Investment / CDC Group"
    },
    {
      "id": "investor.social-impact-ventures",
      "name": "Social Impact Ventures"
    },
    {
      "id": "investor.bestseller-foundation",
      "name": "BESTSELLER Foundation"
    },
    {
      "id": "investor.bluecrest-limited-capital",
      "name": "Bluecrest Limited Capital"
    },
    {
      "id": "investor.ridge-ventures",
      "name": "Ridge Ventures"
    },
    {
      "id": "investor.first-ascent-ventures",
      "name": "First Ascent Ventures"
    },
    {
      "id": "investor.salesforce-ventures",
      "name": "Salesforce Ventures"
    },
    {
      "id": "investor.vistara-growth",
      "name": "Vistara Growth"
    },
    {
      "id": "investor.caisse-de-d-p-t-et-placement-du-qu-bec-cdpq-now-branded-la-caisse",
      "name": "Caisse de dépôt et placement du Québec (CDPQ; now branded La Caisse)"
    },
    {
      "id": "investor.navegar",
      "name": "Navegar"
    },
    {
      "id": "investor.blackstone-managed-private-equity-funds",
      "name": "Blackstone-managed private equity funds"
    },
    {
      "id": "investor.dream-ventures",
      "name": "Dream Ventures"
    },
    {
      "id": "investor.microsoft",
      "name": "Microsoft"
    },
    {
      "id": "investor.javelin",
      "name": "Javelin"
    },
    {
      "id": "investor.flybridge",
      "name": "Flybridge"
    },
    {
      "id": "investor.g-squared",
      "name": "G Squared"
    },
    {
      "id": "investor.up-partners",
      "name": "Up Partners"
    },
    {
      "id": "investor.lg",
      "name": "LG"
    }
  ],
  "meta": {
    "as_of": "2026-10-15",
    "coverage_notes": "Selected public study of 39 organizations. October 14 update rechecks current offerings across all 39 organizations using three reviewed research batches and selected financial updates. Unchanged claims and formal assessments retain their original dates and evidence grades; this is not a fresh verification of the entire historical corpus. Revenue, annualized run rate, funding, valuation, employee count, contributor pools, benchmarks and corporate licensing offers remain distinct. Financial headlines retain company, investor, reporting or filing attribution. AfterQuery Round 2 adds eight distinct offerings, six typed relationships, scoped research results and current employer/expert routes; announcement and milestone disclosure dates remain separate from unknown event dates. October 15 corrects Labelbox Series E mixed equity and credit financing, tightens Prime Intellect lower-bound operators, and qualifies historical Invisible founder evidence. Selected current sources were rechecked; the historical corpus was not reverified in full.",
    "requested_companies": [
      "Mercor",
      "Snorkel AI",
      "Handshake AI",
      "micro1",
      "Scale AI",
      "Turing",
      "Labelbox",
      "Prime Intellect",
      "Abundant",
      "AfterQuery",
      "Bespoke Labs",
      "Polymath",
      "Proximal",
      "Trajectory Labs, PBC",
      "Refresh",
      "Surge AI",
      "Quesma",
      "Datacurve",
      "BenchFlow",
      "G2i",
      "A.Team",
      "HackerRank / Astra",
      "Pareto AI",
      "Ooak Data",
      "Elorian",
      "Terac",
      "Laude Institute / Terminal-Bench",
      "Invisible Technologies",
      "Toloka",
      "Prolific",
      "AIXI Labs",
      "Appen",
      "Giskard",
      "Alinia AI",
      "APTO",
      "RWS / TrainAI",
      "iMerit / EXL",
      "Sama",
      "TaskUs"
    ],
    "research_status": "partial",
    "scope": "public_company_research",
    "title": "Data Labs Observatory"
  },
  "metrics": [
    {
      "as_of": "2024-09-19",
      "basis": "Transaction valuation attached to the funding event. ",
      "claim_id": "mercor.claim.funding_rounds-1-valuation_usd",
      "company_id": "mercor",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "mercor.claim.funding_rounds-1-valuation_usd.metric-0",
      "kind": "valuation",
      "label": "Round valuation",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 250000000
    },
    {
      "as_of": "2025-02-20",
      "basis": "Transaction valuation attached to the funding event. ",
      "claim_id": "mercor.claim.funding_rounds-2-valuation_usd",
      "company_id": "mercor",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "mercor.claim.funding_rounds-2-valuation_usd.metric-0",
      "kind": "valuation",
      "label": "Round valuation",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 2000000000
    },
    {
      "as_of": "2025-10-27",
      "basis": "Transaction valuation attached to the funding event. ",
      "claim_id": "mercor.claim.funding_rounds-3-valuation_usd",
      "company_id": "mercor",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "mercor.claim.funding_rounds-3-valuation_usd.metric-0",
      "kind": "valuation",
      "label": "Round valuation",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 10000000000
    },
    {
      "as_of": "undated",
      "basis": "3.6+30+100+350 million. Not a verified cap-table total; databases differ. Do not add announced cumulative totals again.",
      "claim_id": "mercor.claim.total_funding",
      "company_id": "mercor",
      "currency": "USD",
      "gross_vs_net": "unspecified",
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    {
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      "qualifier": "exact",
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    {
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    {
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      "reported_vs_estimated": "reported",
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      "reported_vs_estimated": "reported",
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      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "qualifier": "exact",
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      "segment_scope": "company",
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    {
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      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
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    {
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      "observation_status": "reported",
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    {
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      "observation_status": "forecast",
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    {
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      "basis": "Lifetime payments to participants; not annual revenue, funding or active-worker count.",
      "claim_id": "prolific.claim.audit-3-metric",
      "company_id": "prolific",
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      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 500000000
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    {
      "as_of": "undated",
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      "claim_id": "prolific.claim.oct14-metric-1-customer-organization-count",
      "company_id": "prolific",
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      "id": "prolific.metric.audit-4",
      "kind": "customer_count",
      "label": "Organizations",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
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    },
    {
      "as_of": "undated",
      "basis": "Not all specialist annotators and not audited monthly-active paid workers",
      "claim_id": "prolific.claim.audit-5-metric",
      "company_id": "prolific",
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      "label": "Active verified participants, company definition",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
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      "value": 300000
    },
    {
      "as_of": "undated",
      "basis": "PhDs in network per company; not employees or monthly-active paid experts",
      "claim_id": "surge_ai.claim.audit-0-metric",
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      "kind": "expert_network",
      "label": "Advertised PhD network",
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      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "ai_data",
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      "value": 200000
    },
    {
      "as_of": "undated",
      "basis": "Safety-contractor listing describes approximately 20 scientists/engineers. This is an employer snapshot, not active-contractor count or a revenue measure.",
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      "kind": "headcount",
      "label": "Scientists and engineers (employer snapshot)",
      "observation_status": "reported",
      "qualifier": "approximate",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 20
    },
    {
      "as_of": "2026-07-08",
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      "observation_status": "reported",
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 100000000.0
    },
    {
      "as_of": "2026-07-08",
      "basis": "Across infrastructure stack; Source type: customer_count; original value: 6,000+",
      "claim_id": "prime_intellect.claim.oct14-metric-0-customer-count",
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      "label": "Customers",
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      "qualifier": "at_least",
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    {
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      "company_id": "prime_intellect",
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      "observation_status": "reported",
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
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    {
      "as_of": "undated",
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    {
      "as_of": "2026",
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      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "other",
      "value": 50000000
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    {
      "as_of": "undated",
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      "qualifier": "at_least",
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      "qualifier": "exact",
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      "segment_scope": "company",
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      "qualifier": "at_least",
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      "basis": "Konwinski’s page statement explicitly says deployed $4.1m across 25 teams, stronger than the existing $4m+ committed label. This is grantmaking outflow, not sales, funding received or proof the full $100m pledge is disbursed.",
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      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "as_of": "2025-12-04",
      "basis": "sum of identified rounds",
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      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
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      "as_of": "2026-07-06",
      "basis": "Company aggregate; round split discrepancy retained separately",
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      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
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      "as_of": "undated",
      "basis": "Teams using GEPA in production: 200 teams. ",
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      "observation_status": "reported",
      "qualifier": "at_least",
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      "segment_scope": "research",
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      "as_of": "2026-07-06",
      "basis": "OpenThoughts cumulative downloads: 500,000 downloads. ",
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      "observation_status": "reported",
      "qualifier": "greater_than",
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      "segment_scope": "research",
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      "as_of": "2026-09-29",
      "basis": "Quarter-to-date revenue multiplied by 4; not ARR or recognized annual revenue",
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      "observation_status": "reported",
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      "segment_scope": "ai_data",
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      "claim_id": "handshake_ai.claim.oct14-major-financial-0",
      "company_id": "handshake_ai",
      "currency": "USD",
      "gross_vs_net": "gross",
      "id": "handshake_ai.metric.major-growth_metrics-0",
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      "label": "Nearly $1B AI gross annualized revenue",
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      "preferred_for_comparison": true,
      "qualifier": "nearly",
      "reported_vs_estimated": "reported",
      "scope_detail": "ai_data",
      "segment_scope": "ai_data",
      "unit": "currency",
      "value": 1000000000
    },
    {
      "as_of": "first eight months after launch; calendar endpoint unspecified",
      "basis": "Relative period only; not a precisely dated chart observation.",
      "claim_id": "handshake_ai.claim.major-growth_metrics-1-metric",
      "company_id": "handshake_ai",
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      "gross_vs_net": "unspecified",
      "id": "handshake_ai.metric.major-growth_metrics-1",
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      "label": "AI-business earlier annualized run rate",
      "observation_status": "reported",
      "preferred_for_comparison": true,
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      "scope_detail": "ai_data",
      "segment_scope": "ai_data",
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      "value": 500000000
    },
    {
      "as_of": "2021-05-12",
      "basis": "Historical parent SaaS metric; must never be shown as Handshake AI ARR.",
      "claim_id": "handshake_ai.claim.major-growth_metrics-2-metric",
      "company_id": "handshake_ai",
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      "gross_vs_net": "unspecified",
      "id": "handshake_ai.metric.major-growth_metrics-2",
      "kind": "arr",
      "label": "Historical recruiting annual recurring revenue",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "nearly",
      "reported_vs_estimated": "reported",
      "scope_detail": "recruiting_parent",
      "segment_scope": "company",
      "unit": "currency",
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    },
    {
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      "company_id": "micro1",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "micro1.metric.major-round-valuation-0",
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      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
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    },
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      "kind": "valuation",
      "label": "Transaction valuation",
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      "qualifier": "exact",
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      "segment_scope": "company",
      "unit": "currency",
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    },
    {
      "as_of": "2026-09-23",
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      "claim_id": "micro1.claim.major-valuation-metric",
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    },
    {
      "as_of": "2025-09-12",
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      "company_id": "micro1",
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      "id": "micro1.metric.major-growth_metrics-0",
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      "label": "Annual revenue run rate",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "scope_detail": "ai_data",
      "segment_scope": "ai_data",
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      "value": 50000000
    },
    {
      "as_of": "2025-09-12 announcement",
      "basis": "Company claim; measurement window and exact denominator not disclosed.",
      "claim_id": "micro1.claim.major-growth_metrics-1-metric",
      "company_id": "micro1",
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      "id": "micro1.metric.major-growth_metrics-1",
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      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "scope_detail": "ai_data",
      "segment_scope": "ai_data",
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    {
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      "gross_vs_net": "gross",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "scope_detail": "ai_data",
      "segment_scope": "ai_data",
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    },
    {
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      "company_id": "micro1",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "scope_detail": "ai_data",
      "segment_scope": "ai_data",
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    },
    {
      "as_of": "undated",
      "basis": "Page says run rate exceeding $200M ARR; no date or recurring-revenue definition. Keep outside dated charts and do not equate to August gross figure.",
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      "company_id": "micro1",
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      "label": "Company biography annualized run-rate claim",
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      "preferred_for_comparison": false,
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "scope_detail": "company",
      "segment_scope": "company",
      "unit": "currency",
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    },
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      "company_id": "scale_ai",
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      "gross_vs_net": "unspecified",
      "id": "scale_ai.metric.major-round-valuation-2",
      "kind": "valuation",
      "label": "Transaction valuation",
      "observation_status": "reported",
      "qualifier": "greater_than",
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      "segment_scope": "company",
      "unit": "currency",
      "value": 1000000000
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      "claim_id": "scale_ai.claim.major-round-valuation-3-metric",
      "company_id": "scale_ai",
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      "id": "scale_ai.metric.major-round-valuation-3",
      "kind": "valuation",
      "label": "Transaction valuation",
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      "segment_scope": "company",
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      "as_of": "2024-05-21",
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      "kind": "valuation",
      "label": "Transaction valuation",
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      "qualifier": "exact",
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      "segment_scope": "company",
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      "basis": "Separate strategic transaction with shareholder distributions. Not cumulative funding. Meta filing records $13.79B in non-marketable equity; that accounting component is not the full consideration.",
      "claim_id": "scale_ai.claim.major-round-valuation-6-metric",
      "company_id": "scale_ai",
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      "id": "scale_ai.metric.major-round-valuation-6",
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      "segment_scope": "company",
      "unit": "currency",
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    },
    {
      "as_of": "2025-06-11",
      "basis": "Approximately $1.6B pre-Meta financing; includes mixed primary/secondary Series F. Primary capital total unknown. Earlier seed/A/B/C not individually revalidated; do not add Meta stake to call all cash raised.",
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      "label": "funding total reported",
      "observation_status": "reported",
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    },
    {
      "as_of": "2025-06-12",
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      "claim_id": "scale_ai.claim.major-valuation-metric",
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    },
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      "claim_id": "scale_ai.claim.oct14-major-financial-2",
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      "segment_scope": "company",
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    },
    {
      "as_of": "FY2025",
      "basis": "Do not normalize into recognized revenue or ARR.",
      "claim_id": "scale_ai.claim.major-growth_metrics-1-metric",
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      "preferred_for_comparison": true,
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      "segment_scope": "company",
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      "claim_id": "scale_ai.claim.major-growth_metrics-2-metric",
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      "preferred_for_comparison": true,
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      "as_of": "FY2025",
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      "preferred_for_comparison": true,
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      "scope_detail": "evaluation_research",
      "segment_scope": "research",
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      "label": "Transaction valuation",
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      "qualifier": "exact",
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      "segment_scope": "company",
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      "claim_id": "turing.claim.major-round-valuation-3-metric",
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    {
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      "claim_id": "turing.claim.major-total_funding-metric",
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      "as_of": "2025-03-06",
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      "claim_id": "turing.claim.major-valuation-metric",
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    {
      "as_of": "pricing date before 2025-03-06; exact date undisclosed",
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      "preferred_for_comparison": true,
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    },
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      "as_of": "2024-12",
      "basis": "Do not repeat the Reuters annual-revenue wording; the primary company release explicitly says annual revenue runrate.; Scope: company; Original period/date: 2024 year-end; Revenue/accounting basis: not disclosed",
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      "segment_scope": "company",
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      "as_of": "2023-12",
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      "preferred_for_comparison": true,
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      "reported_vs_estimated": "estimated",
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      "segment_scope": "company",
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    },
    {
      "as_of": "2024",
      "basis": "Same analyst series, not audited period-revenue growth.",
      "claim_id": "turing.claim.major-growth_metrics-3-metric",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "segment_scope": "company",
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    },
    {
      "as_of": "2025-03-06",
      "basis": "Network size, not employees or active AI-data contributors.",
      "claim_id": "turing.claim.major-growth_metrics-4-metric",
      "company_id": "turing",
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      "preferred_for_comparison": true,
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      "scope_detail": "company",
      "segment_scope": "company",
      "unit": "people",
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    },
    {
      "as_of": "2022-01-06",
      "basis": "Historical rounded company total as of January 6, 2022; five disclosed earlier equity rounds sum to $188.9M. Superseded as a current lifetime-total headline by a later Series E with only a lower-bound amount; no exact current lifetime total is inferred.",
      "claim_id": "labelbox.claim.major-total_funding-metric",
      "company_id": "labelbox",
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      "gross_vs_net": "unspecified",
      "id": "labelbox.metric.major-total_funding",
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      "observation_status": "reported",
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      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
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    {
      "as_of": "2022-01",
      "basis": "Historical financing valuation only. No fresh valuation or primary confirmation found.",
      "claim_id": "labelbox.claim.major-valuation-metric",
      "company_id": "labelbox",
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      "gross_vs_net": "unspecified",
      "id": "labelbox.metric.major-valuation",
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      "label": "valuation",
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      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 950000000
    },
    {
      "as_of": "2018-04",
      "basis": "ARR: 100,000 USD. Period: 2018-04.",
      "claim_id": "labelbox.claim.major-financial_metrics-0-metric",
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      "gross_vs_net": "unspecified",
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      "kind": "arr",
      "label": "ARR",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "claim_id": "labelbox.claim.major-financial_metrics-1-metric",
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      "segment_scope": "company",
      "unit": "currency",
      "value": 1000000
    },
    {
      "as_of": "2018-12",
      "basis": "Customers: 37 organizations. Period: 2018-12.",
      "claim_id": "labelbox.claim.major-growth_metrics-0-metric",
      "company_id": "labelbox",
      "gross_vs_net": "unspecified",
      "id": "labelbox.metric.major-growth_metrics-0",
      "kind": "customer_count",
      "label": "Customers",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "segment_scope": "company",
      "unit": "count",
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    {
      "as_of": "early 2019",
      "basis": "Assets processed: 1,000,000 assets/month. Period: early 2019.",
      "claim_id": "labelbox.claim.major-growth_metrics-1-metric",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
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      "value": 1000000
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    {
      "as_of": "undated",
      "basis": "Network population, not active paid workers, completed projects or revenue.",
      "claim_id": "labelbox.claim.major-growth_metrics-2-metric",
      "company_id": "labelbox",
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      "preferred_for_comparison": true,
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
      "unit": "people",
      "value": 2600000
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    {
      "as_of": "undated",
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      "claim_id": "labelbox.claim.major-growth_metrics-3-metric",
      "company_id": "labelbox",
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      "preferred_for_comparison": true,
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    {
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      "claim_id": "invisible.claim.major-total_funding-metric",
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      "segment_scope": "company",
      "unit": "currency",
      "value": 144000000
    },
    {
      "as_of": "2025-09-17",
      "basis": "Retained historical report only; source open failed in this pass. Do not badge as freshly verified.",
      "claim_id": "invisible.claim.major-valuation-metric",
      "company_id": "invisible",
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      "segment_scope": "company",
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      "value": 2000000000
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    {
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      "basis": "Scope: company; Original period/date: FY2024; Revenue/accounting basis: not disclosed",
      "claim_id": "invisible.claim.oct14-major-financial-1",
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      "period_type": "annual",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
      "unit": "currency",
      "value": 134000000
    },
    {
      "as_of": "FY2020",
      "basis": "Revenue: 3,000,000 USD. Period: FY2020.",
      "claim_id": "invisible.claim.major-financial_metrics-1-metric",
      "company_id": "invisible",
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      "id": "invisible.metric.major-financial_metrics-1",
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      "label": "Revenue",
      "observation_status": "reported",
      "period_label": "FY2020",
      "period_type": "annual",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
      "unit": "currency",
      "value": 3000000
    },
    {
      "as_of": "FY2024",
      "basis": "Not statutory net income and not an audited filing.",
      "claim_id": "invisible.claim.major-financial_metrics-2-metric",
      "company_id": "invisible",
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      "id": "invisible.metric.major-financial_metrics-2",
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      "label": "EBITDA",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
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      "value": 15000000
    },
    {
      "as_of": "FY2020 to FY2024",
      "basis": "Derived comparison of reported annual revenue, not a CAGR or present growth rate.",
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      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
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      "value": 44.67
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    {
      "as_of": "2025-09",
      "basis": "Employees: 350 people. Period: 2025-09.",
      "claim_id": "invisible.claim.major-growth_metrics-1-metric",
      "company_id": "invisible",
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      "id": "invisible.metric.major-growth_metrics-1",
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      "label": "Employees",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "segment_scope": "company",
      "unit": "people",
      "value": 350
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    {
      "as_of": "2025 YTD to September",
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      "claim_id": "invisible.claim.major-growth_metrics-2-metric",
      "company_id": "invisible",
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      "id": "invisible.metric.major-growth_metrics-2",
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      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
      "unit": "multiple",
      "value": 2
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    {
      "as_of": "2025-09",
      "basis": "Company-defined denominator; not market share or share of model-industry spending.",
      "claim_id": "invisible.claim.major-growth_metrics-3-metric",
      "company_id": "invisible",
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      "id": "invisible.metric.major-growth_metrics-3",
      "kind": "other",
      "label": "Leading model providers served",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": 80
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    {
      "as_of": "2025-05-16",
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      "id": "toloka.metric.major-total_funding",
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    {
      "as_of": "FY2022",
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      "preferred_for_comparison": true,
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      "claim_id": "toloka.claim.major-financial_metrics-1-metric",
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      "label": "Revenue",
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      "period_type": "annual",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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    {
      "as_of": "FY2024",
      "basis": "Latest FY2025 20-F comparative discontinued-operations presentation. Earlier FY2024 report showed $26.4M as segment revenue; keep both with basis labels.",
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      "gross_vs_net": "unspecified",
      "id": "toloka.metric.major-financial_metrics-2",
      "kind": "revenue",
      "label": "Revenue",
      "observation_status": "reported",
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      "period_type": "annual",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
      "unit": "currency",
      "value": 26100000
    },
    {
      "as_of": "FY2024",
      "basis": "Original segment basis; do not silently replace with $26.1M without explaining the presentation difference.",
      "claim_id": "toloka.claim.major-financial_metrics-3-metric",
      "company_id": "toloka",
      "currency": "USD",
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      "kind": "revenue",
      "label": "Revenue",
      "observation_status": "reported",
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      "period_type": "annual",
      "preferred_for_comparison": false,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
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    {
      "as_of": "2025 pre-deconsolidation period through May 2",
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      "label": "Revenue",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "as_of": "FY2024",
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      "id": "toloka.metric.major-financial_metrics-5",
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      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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    {
      "as_of": "FY2024 versus FY2023",
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      "preferred_for_comparison": true,
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    },
    {
      "as_of": "FY2024 versus FY2023",
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      "label": "Revenue growth",
      "observation_status": "reported",
      "preferred_for_comparison": true,
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    {
      "as_of": "2025-Q1",
      "basis": "Q1 revenue growth: 2 multiple YoY. Period: 2025-Q1.",
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      "preferred_for_comparison": true,
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      "segment_scope": "company",
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    {
      "as_of": "2025-05",
      "basis": "Not active paid worker count or commercial throughput.",
      "claim_id": "toloka.claim.major-growth_metrics-3-metric",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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    {
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      "basis": "Revenue: 273,000,000 USD. Period: FY2023.",
      "claim_id": "appen.claim.major-financial_metrics-0-metric",
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      "qualifier": "exact",
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    {
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      "preferred_for_comparison": true,
      "qualifier": "exact",
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    {
      "as_of": "FY2025",
      "basis": "Scope: company; Original period/date: FY2025; Revenue/accounting basis: reported operating revenue",
      "claim_id": "appen.claim.oct14-major-financial-0",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "segment_scope": "company",
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    {
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      "claim_id": "appen.claim.oct14-major-financial-1",
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    {
      "as_of": "FY2025",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
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      "segment_scope": "other_segment",
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      "value": 127900000
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    {
      "as_of": "FY2025",
      "basis": "Not statutory net profit.",
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      "observation_status": "reported",
      "preferred_for_comparison": true,
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      "reported_vs_estimated": "reported",
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    {
      "as_of": "H1 2026 (January–June)",
      "basis": "Revenue and other income of $120.776M is a different line; do not confuse the two.",
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      "preferred_for_comparison": true,
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      "reported_vs_estimated": "reported",
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      "segment_scope": "company",
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    {
      "as_of": "H1 2026",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
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      "segment_scope": "other_segment",
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      "value": 76196000
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    {
      "as_of": "H1 2026",
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      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "Global segment",
      "segment_scope": "other_segment",
      "unit": "currency",
      "value": 43719000
    },
    {
      "as_of": "H1 2026",
      "basis": "Statutory net profit after tax: -4,454,000 USD. Period: H1 2026.",
      "claim_id": "appen.claim.major-financial_metrics-9-metric",
      "company_id": "appen",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-financial_metrics-9",
      "kind": "other",
      "label": "Statutory net profit after tax",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "currency",
      "value": -4454000
    },
    {
      "as_of": "H1 2026",
      "basis": "Underlying EBITDA before FX: 5,336,000 USD. Period: H1 2026.",
      "claim_id": "appen.claim.major-financial_metrics-10-metric",
      "company_id": "appen",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-financial_metrics-10",
      "kind": "other",
      "label": "Underlying EBITDA before FX",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "currency",
      "value": 5336000
    },
    {
      "as_of": "2026-06-30",
      "basis": "Cash and cash equivalents: 44,705,000 USD. Period: 2026-06-30.",
      "claim_id": "appen.claim.major-financial_metrics-11-metric",
      "company_id": "appen",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-financial_metrics-11",
      "kind": "other",
      "label": "Cash and cash equivalents",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "currency",
      "value": 44705000
    },
    {
      "as_of": "June 2026",
      "basis": "Annualization of June activity; not recurring contracted ARR and not full-year realized revenue.",
      "claim_id": "appen.claim.major-financial_metrics-12-metric",
      "company_id": "appen",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-financial_metrics-12",
      "kind": "annualized_revenue_run_rate",
      "label": "China annualized revenue run rate",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "scope_detail": "China segment",
      "segment_scope": "other_segment",
      "unit": "currency",
      "value": 175000000
    },
    {
      "as_of": "FY2026",
      "basis": "Revenue guidance low: 270,000,000 USD. Period: FY2026.",
      "claim_id": "appen.claim.major-financial_metrics-13-metric",
      "company_id": "appen",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-financial_metrics-13",
      "kind": "revenue",
      "label": "Revenue guidance low",
      "observation_status": "forecast",
      "period_label": "FY2026",
      "period_type": "annual",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "currency",
      "value": 270000000
    },
    {
      "as_of": "FY2026",
      "basis": "Revenue guidance high: 300,000,000 USD. Period: FY2026.",
      "claim_id": "appen.claim.major-financial_metrics-14-metric",
      "company_id": "appen",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-financial_metrics-14",
      "kind": "revenue",
      "label": "Revenue guidance high",
      "observation_status": "forecast",
      "period_label": "FY2026",
      "period_type": "annual",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "currency",
      "value": 300000000
    },
    {
      "as_of": "FY2025",
      "basis": "Revenue growth: -1.5 percent YoY. Period: FY2025. ",
      "claim_id": "appen.claim.major-growth_metrics-0-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-0",
      "kind": "growth_rate",
      "label": "Revenue growth",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": -1.5
    },
    {
      "as_of": "FY2025",
      "basis": "Revenue growth excluding Google: 4.5 percent YoY. Period: FY2025. ",
      "claim_id": "appen.claim.major-growth_metrics-1-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-1",
      "kind": "growth_rate",
      "label": "Revenue growth excluding Google",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": 4.5
    },
    {
      "as_of": "FY2025",
      "basis": "China revenue growth: 74.8 percent YoY. Period: FY2025. ",
      "claim_id": "appen.claim.major-growth_metrics-2-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-2",
      "kind": "growth_rate",
      "label": "China revenue growth",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "China segment",
      "segment_scope": "other_segment",
      "unit": "percent",
      "value": 74.8
    },
    {
      "as_of": "FY2025",
      "basis": "Global revenue growth excluding Google: -21.1 percent YoY. Period: FY2025. ",
      "claim_id": "appen.claim.major-growth_metrics-3-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-3",
      "kind": "growth_rate",
      "label": "Global revenue growth excluding Google",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "Global segment",
      "segment_scope": "other_segment",
      "unit": "percent",
      "value": -21.1
    },
    {
      "as_of": "FY2025",
      "basis": "GenAI revenue share: 33 percent. Period: FY2025. ",
      "claim_id": "appen.claim.major-growth_metrics-4-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-4",
      "kind": "other",
      "label": "GenAI revenue share",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": 33
    },
    {
      "as_of": "H1 2026",
      "basis": "Revenue growth: 17.5 percent YoY. Period: H1 2026. ",
      "claim_id": "appen.claim.major-growth_metrics-5-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-5",
      "kind": "growth_rate",
      "label": "Revenue growth",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": 17.5
    },
    {
      "as_of": "H1 2026",
      "basis": "China revenue growth: 80.4 percent YoY. Period: H1 2026. ",
      "claim_id": "appen.claim.major-growth_metrics-6-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-6",
      "kind": "growth_rate",
      "label": "China revenue growth",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "China segment",
      "segment_scope": "other_segment",
      "unit": "percent",
      "value": 80.4
    },
    {
      "as_of": "H1 2026",
      "basis": "Global revenue growth: -26.9 percent YoY. Period: H1 2026. ",
      "claim_id": "appen.claim.major-growth_metrics-7-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-7",
      "kind": "growth_rate",
      "label": "Global revenue growth",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "Global segment",
      "segment_scope": "other_segment",
      "unit": "percent",
      "value": -26.9
    },
    {
      "as_of": "H1 2026",
      "basis": "Top-five customer revenue concentration: 67.9 percent. Period: H1 2026. ",
      "claim_id": "appen.claim.major-growth_metrics-8-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-8",
      "kind": "other",
      "label": "Top-five customer revenue concentration",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": 67.9
    },
    {
      "as_of": "H1 2026",
      "basis": "GenAI revenue share: 29 percent. Period: H1 2026. Half-year period and company classification; do not directly treat FY2025 33% versus this as same-period YoY decline.",
      "claim_id": "appen.claim.major-growth_metrics-9-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-9",
      "kind": "other",
      "label": "GenAI revenue share",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": 29
    },
    {
      "as_of": "2026-Q2",
      "basis": "Q2 revenue growth: 26 percent YoY. Period: 2026-Q2. ",
      "claim_id": "appen.claim.major-growth_metrics-10-metric",
      "company_id": "appen",
      "gross_vs_net": "unspecified",
      "id": "appen.metric.major-growth_metrics-10",
      "kind": "growth_rate",
      "label": "Q2 revenue growth",
      "observation_status": "reported",
      "preferred_for_comparison": true,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "",
      "segment_scope": "company",
      "unit": "percent",
      "value": 26
    },
    {
      "as_of": "2021-04-13",
      "basis": "The $36.3m subtotal is calculated, non-exhaustive, and combines announced raises with a commitment; it is not a fresh company-stated total equity raised. Acquisition consideration excluded.",
      "claim_id": "imerit.claim.expansion-funding-metric",
      "company_id": "imerit",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "imerit.metric.expansion-funding",
      "kind": "funding_total_reported",
      "label": "Historical reported financing total",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 23500000
    },
    {
      "as_of": "2026-03-31",
      "basis": "CFO Maurizio Nicolelli stated this on the June 24 M&A call. Not EXL consolidated revenue, not a 2026 forecast, and not annual recurring revenue.",
      "claim_id": "imerit.claim.expansion-imerit-revenue-metric",
      "company_id": "imerit",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "imerit.metric.expansion-imerit-revenue",
      "kind": "revenue",
      "label": "Approximately $59m revenue, year ended March 2026",
      "observation_status": "reported",
      "period_end": "2026-03-31",
      "period_label": "2025-04-01 to 2026-03-31",
      "period_start": "2025-04-01",
      "period_type": "annual",
      "qualifier": "approximate",
      "reported_vs_estimated": "reported",
      "scope_detail": "iMerit standalone acquired business",
      "segment_scope": "company",
      "unit": "currency",
      "value": 59000000
    },
    {
      "as_of": "2026-06-24",
      "basis": "Dated acquirer statement; Scholars separately described as independent contractors. Not a certified post-close total for October 2026.",
      "claim_id": "imerit.claim.expansion-imerit-fte-metric",
      "company_id": "imerit",
      "gross_vs_net": "unspecified",
      "id": "imerit.metric.expansion-imerit-fte",
      "kind": "headcount",
      "label": "Approximately 3,600 transferring full-time employees",
      "observation_status": "reported",
      "qualifier": "approximate",
      "reported_vs_estimated": "reported",
      "scope_detail": "iMerit employees expected to transition at acquisition closing",
      "segment_scope": "company",
      "unit": "people",
      "value": 3600
    },
    {
      "as_of": "undated",
      "basis": "Undated current website claim, observed October 12. Network membership is not payroll, active assignments, or unique workers deployed in a period.",
      "claim_id": "imerit.claim.expansion-imerit-expert-network-metric",
      "company_id": "imerit",
      "gross_vs_net": "unspecified",
      "id": "imerit.metric.expansion-imerit-expert-network",
      "kind": "expert_network",
      "label": "25,000+ domain experts in 60+ countries",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "scope_detail": "Scholars network",
      "segment_scope": "company",
      "unit": "people",
      "value": 25000
    },
    {
      "as_of": "2025-12-31",
      "basis": "EXL figure predates acquisition and spans enterprise services. Never use as iMerit revenue or training-data market revenue.",
      "claim_id": "imerit.claim.expansion-imerit-parent-revenue-metric",
      "company_id": "imerit",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "imerit.metric.expansion-imerit-parent-revenue",
      "kind": "other",
      "label": "EXL FY2025 revenue: $2.088bn, separate parent context",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "EXL consolidated parent",
      "segment_scope": "other_segment",
      "unit": "currency",
      "value": 2087679000
    },
    {
      "as_of": "2024-11-21",
      "basis": "CEO-reported total matches A+B sum. No newer public round was verified in this review; that is not proof no later financing occurred.",
      "claim_id": "sama.claim.expansion-funding-metric",
      "company_id": "sama",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "sama.metric.expansion-funding",
      "kind": "funding_total_reported",
      "label": "Historical reported financing total",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 84800000
    },
    {
      "as_of": "2025-04-03",
      "basis": "Historical before the April 2026 Meta-related redundancy notice. Current post-reduction payroll not independently verified; do not mechanically subtract notices from old headcount.",
      "claim_id": "sama.claim.expansion-sama-workforce-metric",
      "company_id": "sama",
      "gross_vs_net": "unspecified",
      "id": "sama.metric.expansion-sama-workforce",
      "kind": "other",
      "label": "Over 5,000 on-staff data experts, April 2025",
      "observation_status": "reported",
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "scope_detail": "Company on-staff data experts",
      "segment_scope": "company",
      "unit": "people",
      "value": 5000
    },
    {
      "as_of": "undated",
      "basis": "Undated marketing measure; points are not images, frames, tasks, tokens, users, or revenue. No independently audited utilization or current completed-output period supplied.",
      "claim_id": "sama.claim.expansion-sama-throughput-metric",
      "company_id": "sama",
      "gross_vs_net": "unspecified",
      "id": "sama.metric.expansion-sama-throughput",
      "kind": "other",
      "label": "10bn annotation points per month, company claim",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "Company platform/data operations",
      "segment_scope": "company",
      "unit": "count",
      "value": 10000000000
    },
    {
      "as_of": "undated",
      "basis": "Not equivalent to universal per-label accuracy or an independently comparable benchmark.",
      "claim_id": "sama.claim.expansion-sama-acceptance-metric",
      "company_id": "sama",
      "gross_vs_net": "unspecified",
      "id": "sama.metric.expansion-sama-acceptance",
      "kind": "other",
      "label": "99% first-batch client acceptance, company claim",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "Supplier-reported annotation delivery",
      "segment_scope": "company",
      "unit": "percent",
      "value": 99
    },
    {
      "as_of": "FY ended 2025-12-31",
      "basis": "Scope: TaskUs consolidated group; Original period/date: FY2025; Revenue/accounting basis: US GAAP",
      "claim_id": "taskus.claim.oct14-major-financial-1",
      "company_id": "taskus",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "taskus.metric.expansion-0",
      "kind": "revenue",
      "label": "$1.183547B total service revenue",
      "observation_status": "reported",
      "period_label": "FY2025",
      "period_type": "annual",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "company",
      "segment_scope": "company",
      "unit": "currency",
      "value": 1183547000
    },
    {
      "as_of": "FY ended 2024-12-31",
      "basis": "annual revenue: 994,985,000 USD. FY ended 2024-12-31. ",
      "claim_id": "taskus.claim.expansion-1-metric",
      "company_id": "taskus",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "taskus.metric.expansion-1",
      "kind": "revenue",
      "label": "annual revenue",
      "observation_status": "reported",
      "period_label": "FY ended 2024-12-31",
      "period_type": "annual",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "company",
      "segment_scope": "company",
      "unit": "currency",
      "value": 994985000
    },
    {
      "as_of": "FY ended 2025-12-31",
      "basis": "Scope: AI Services service line; Original period/date: FY2025; Revenue/accounting basis: US GAAP revenue disaggregation",
      "claim_id": "taskus.claim.oct14-major-financial-0",
      "company_id": "taskus",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "taskus.metric.expansion-2",
      "kind": "revenue",
      "label": "$214.218M AI Services revenue",
      "observation_status": "reported",
      "period_label": "FY2025",
      "period_type": "annual",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "AI Services service line",
      "segment_scope": "ai_data",
      "unit": "currency",
      "value": 214218000
    },
    {
      "as_of": "FY ended 2024-12-31",
      "basis": "annual revenue: 135,107,000 USD. FY ended 2024-12-31. ",
      "claim_id": "taskus.claim.expansion-3-metric",
      "company_id": "taskus",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "taskus.metric.expansion-3",
      "kind": "revenue",
      "label": "annual revenue",
      "observation_status": "reported",
      "period_label": "FY ended 2024-12-31",
      "period_type": "annual",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "AI Services service line",
      "segment_scope": "ai_data",
      "unit": "currency",
      "value": 135107000
    },
    {
      "as_of": "FY ended 2023-12-31",
      "basis": "annual revenue: 131,680,000 USD. FY ended 2023-12-31. ",
      "claim_id": "taskus.claim.expansion-4-metric",
      "company_id": "taskus",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "taskus.metric.expansion-4",
      "kind": "revenue",
      "label": "annual revenue",
      "observation_status": "reported",
      "period_label": "FY ended 2023-12-31",
      "period_type": "annual",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "AI Services service line",
      "segment_scope": "ai_data",
      "unit": "currency",
      "value": 131680000
    },
    {
      "as_of": "FY2025 versus FY2024",
      "basis": "revenue growth yoy percent: 58.6 percent. FY2025 versus FY2024. ",
      "claim_id": "taskus.claim.expansion-5-metric",
      "company_id": "taskus",
      "gross_vs_net": "unspecified",
      "id": "taskus.metric.expansion-5",
      "kind": "growth_rate",
      "label": "revenue growth yoy percent",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "AI Services service line",
      "segment_scope": "ai_data",
      "unit": "percent",
      "value": 58.6
    },
    {
      "as_of": "FY ended 2025-12-31",
      "basis": "net income: 102,275,000 USD. FY ended 2025-12-31. ",
      "claim_id": "taskus.claim.expansion-6-metric",
      "company_id": "taskus",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "taskus.metric.expansion-6",
      "kind": "other",
      "label": "net income",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "company",
      "segment_scope": "company",
      "unit": "currency",
      "value": 102275000
    },
    {
      "as_of": "three months ended 2026-06-30",
      "basis": "quarterly revenue: 308,855,000 USD. three months ended 2026-06-30. ",
      "claim_id": "taskus.claim.expansion-7-metric",
      "company_id": "taskus",
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    {
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    {
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    {
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    {
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      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "scope_detail": "company",
      "segment_scope": "company",
      "unit": "currency",
      "value": 1220000000
    },
    {
      "as_of": "FY2026 forecast issued 2026-08-05",
      "basis": "annual revenue guidance high: 1,240,000,000 USD. FY2026 forecast issued 2026-08-05. ",
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      "reported_vs_estimated": "reported",
      "scope_detail": "company",
      "segment_scope": "company",
      "unit": "currency",
      "value": 1240000000
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    {
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      "claim_id": "a-team.claim.oct14-metric-1-customer-count",
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    {
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      "claim_id": "a-team.claim.oct14-metric-2-experience",
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      "label": "Median engineering experience",
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      "unit": "other",
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      "observation_status": "reported",
      "qualifier": "exact",
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      "segment_scope": "company",
      "unit": "other",
      "value": 18.0
    },
    {
      "as_of": "undated",
      "basis": "G2i engineering operation; Source type: full_time_engineer_count; original value: 200",
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      "label": "Full-time engineers",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 200.0
    },
    {
      "as_of": "undated",
      "basis": "Engineers on bench, not all currently active on projects; Source type: talent_network; original value: 8000",
      "claim_id": "g2i.claim.oct14-metric-1-talent-network",
      "company_id": "g2i",
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      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 8000.0
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    {
      "as_of": "2026",
      "basis": "2026 company-stated payments; exact cutoff unspecified; Source type: worker_payout; original value: $50M",
      "claim_id": "g2i.claim.oct14-metric-2-worker-payout",
      "company_id": "g2i",
      "currency": "USD",
      "gross_vs_net": "unspecified",
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      "label": "Paid to engineers",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 50000000.0
    },
    {
      "as_of": "undated",
      "basis": "HackerRank platform, not paid AI workers; Source type: registered_developer_community; original value: 31M+",
      "claim_id": "hackerrank.claim.oct14-metric-0-registered-developer-community",
      "company_id": "hackerrank",
      "gross_vs_net": "unspecified",
      "id": "hackerrank.metric.oct14-0-registered-developer-community",
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      "label": "Developer community",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "other_segment",
      "unit": "people",
      "value": 31000000.0
    },
    {
      "as_of": "undated",
      "basis": "Developers submitting curated tasks monthly; Source type: active_monthly_contributors; original value: 600+",
      "claim_id": "hackerrank.claim.oct14-metric-1-active-monthly-contributors",
      "company_id": "hackerrank",
      "gross_vs_net": "unspecified",
      "id": "hackerrank.metric.oct14-1-active-monthly-contributors",
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      "label": "Monthly task contributors",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "ai_data",
      "unit": "people",
      "value": 600.0
    },
    {
      "as_of": "undated",
      "basis": "Community coding data; explicitly excludes customer data; Source type: historical_submission_count; original value: 470M",
      "claim_id": "hackerrank.claim.oct14-metric-2-historical-submission-count",
      "company_id": "hackerrank",
      "gross_vs_net": "unspecified",
      "id": "hackerrank.metric.oct14-2-historical-submission-count",
      "kind": "other",
      "label": "Graded submissions",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "other_segment",
      "unit": "count",
      "value": 470000000.0
    },
    {
      "as_of": "undated",
      "basis": "Parent technical hiring business; Source type: historical_customer_count; original value: 2,500+",
      "claim_id": "hackerrank.claim.oct14-metric-3-historical-customer-count",
      "company_id": "hackerrank",
      "gross_vs_net": "unspecified",
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      "kind": "customer_count",
      "label": "Companies served",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "other_segment",
      "unit": "count",
      "value": 2500.0
    },
    {
      "as_of": "2026-01",
      "basis": "Version 2.0 only, historical; current website shows 4.0; Source type: benchmark_dataset_size; original value: 89",
      "claim_id": "laude.claim.oct14-metric-0-benchmark-dataset-size",
      "company_id": "laude",
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      "label": "Terminal-Bench 2.0 tasks",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "research",
      "unit": "count",
      "value": 89.0
    },
    {
      "as_of": "undated",
      "basis": "Open-source RL Environment Hub; Source type: environment_catalog; original value: 2,500+",
      "claim_id": "prime_intellect.claim.oct14-metric-2-environment-catalog",
      "company_id": "prime_intellect",
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      "kind": "other",
      "label": "Community environments",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 2500.0
    },
    {
      "as_of": "undated",
      "basis": "Prolific overall, not all AI specialists; Source type: active_participant_pool; original value: 300,000+",
      "claim_id": "prolific.claim.oct14-metric-0-active-participant-pool",
      "company_id": "prolific",
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      "label": "Active verified participants",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 300000.0
    },
    {
      "as_of": "undated",
      "basis": "Platform data collectors; Source type: researcher_customer_count; original value: 35,000+",
      "claim_id": "prolific.claim.oct14-metric-2-researcher-customer-count",
      "company_id": "prolific",
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      "kind": "other",
      "label": "Data collectors",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 35000.0
    },
    {
      "as_of": "undated",
      "basis": "TrainAI pool; active term supplied by company; Source type: freelance_community; original value: 100,000+",
      "claim_id": "rws_trainai.claim.oct14-metric-0-freelance-community",
      "company_id": "rws_trainai",
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      "id": "rws_trainai.metric.oct14-0-freelance-community",
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      "segment_scope": "ai_data",
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      "value": 100000.0
    },
    {
      "as_of": "undated",
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      "claim_id": "rws_trainai.claim.oct14-metric-1-language-coverage",
      "company_id": "rws_trainai",
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      "segment_scope": "ai_data",
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      "value": 400.0
    },
    {
      "as_of": "undated",
      "basis": "TrainAI service/community coverage; not universal job eligibility; Source type: geographic_coverage; original value: 175+",
      "claim_id": "rws_trainai.claim.oct14-metric-2-geographic-coverage",
      "company_id": "rws_trainai",
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    },
    {
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      "basis": "Registrations, not verified active paid workers; Source type: registered_expert_pool; original value: 160,000+",
      "claim_id": "terac.claim.oct14-metric-0-registered-expert-pool",
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      "qualifier": "at_least",
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      "segment_scope": "company",
      "unit": "people",
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    },
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      "claim_id": "terac.claim.oct14-metric-1-worker-payout",
      "company_id": "terac",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "terac.metric.oct14-1-worker-payout",
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      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 2500000.0
    },
    {
      "as_of": "undated",
      "basis": "Cumulative expert work; period unspecified; Source type: work_volume; original value: 10,000+ hours",
      "claim_id": "terac.claim.oct14-metric-2-work-volume",
      "company_id": "terac",
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      "id": "terac.metric.oct14-2-work-volume",
      "kind": "other",
      "label": "Expert work",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "other",
      "value": 10000.0
    },
    {
      "as_of": "2025-05-06",
      "basis": "Platform-managed network, not employees; Source type: expert_and_annotator_pool; original value: 200,000+",
      "claim_id": "toloka.claim.oct14-metric-0-expert-and-annotator-pool",
      "company_id": "toloka",
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      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 200000.0
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    {
      "as_of": "2025-05-06",
      "basis": "Expert network; Source type: domain_coverage; original value: 50+",
      "claim_id": "toloka.claim.oct14-metric-1-domain-coverage",
      "company_id": "toloka",
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      "id": "toloka.metric.oct14-1-domain-coverage",
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      "label": "Verified knowledge domains",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 50.0
    },
    {
      "as_of": "2025-05-06",
      "basis": "Network representation, not universal eligibility; Source type: network_geography; original value: 100+",
      "claim_id": "toloka.claim.oct14-metric-2-network-geography",
      "company_id": "toloka",
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      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
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      "value": 100.0
    },
    {
      "as_of": "undated",
      "basis": "Monthly generated training tokens; Self-reported, undated; not revenue growth.; Source type: training_data_growth; original value: 2 times month-over-month",
      "claim_id": "abundant_ai.claim.oct14-metric-1-training-data-growth",
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      "segment_scope": "company",
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      "value": 2.0
    },
    {
      "as_of": "undated",
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      "company_id": "abundant_ai",
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      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
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      "value": 500.0
    },
    {
      "as_of": "2026-10-13",
      "basis": "TheoremSmith generated formal-proof tasks; Hundreds of tasks claimed; no demonstrated transfer to real-world proof ability yet.; Source type: benchmark_task_horizon; original value: 30 minutes, greater than",
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      "company_id": "abundant_ai",
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      "label": "Benchmark task horizon",
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      "segment_scope": "company",
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      "value": 30.0
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    {
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      "company_id": "afterquery",
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      "segment_scope": "company",
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      "value": 100000000.0
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    {
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      "claim_id": "afterquery.claim.oct14-metric-1-expert-network",
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      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 100000.0
    },
    {
      "as_of": "undated",
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      "claim_id": "afterquery.claim.oct14-metric-2-expert-network",
      "company_id": "afterquery",
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      "id": "afterquery.metric.oct14-2-expert-network",
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      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "people",
      "value": 300000.0
    },
    {
      "as_of": "2026-07-02",
      "basis": "NVIDIA Nemotron 3 Ultra MOPD warmup ablation: 35.3 to 46.7; Post-training experiment; not customer growth.; Source type: benchmark_score_lift; original value: 11.4 GDPval points",
      "claim_id": "afterquery.claim.oct14-metric-3-benchmark-score-lift",
      "company_id": "afterquery",
      "gross_vs_net": "unspecified",
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      "label": "Benchmark score lift",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "other",
      "value": 11.4
    },
    {
      "as_of": "2026-08-30",
      "basis": "Legora BAR; Source type: benchmark_size; original value: 5161 cases",
      "claim_id": "afterquery.claim.oct14-metric-4-benchmark-size",
      "company_id": "afterquery",
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      "preferred_for_comparison": false,
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 5161.0
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    {
      "as_of": "2026-08-30",
      "basis": "Legora BAR; Source type: benchmark_domain_coverage; original value: 28 legal practice areas",
      "claim_id": "afterquery.claim.oct14-metric-5-benchmark-domain-coverage",
      "company_id": "afterquery",
      "gross_vs_net": "unspecified",
      "id": "afterquery.metric.oct14-5-benchmark-domain-coverage",
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      "label": "Benchmark domain coverage",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 28.0
    },
    {
      "as_of": "undated",
      "basis": "GEPA in production; Self-reported homepage count, observed 2026-10-14.; Source type: open_source_adoption; original value: 200 teams, greater than",
      "claim_id": "bespoke_labs.claim.oct14-metric-0-open-source-adoption",
      "company_id": "bespoke_labs",
      "gross_vs_net": "unspecified",
      "id": "bespoke_labs.metric.oct14-0-open-source-adoption",
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      "label": "Open source adoption",
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      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
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    },
    {
      "as_of": "undated",
      "basis": "OpenThoughts on Hugging Face; Homepage count; investor article separately claims >100,000 monthly downloads. Definitions or timing are not reconciled.; Source type: dataset_downloads; original value: 10000 monthly downloads, greater than",
      "claim_id": "bespoke_labs.claim.oct14-metric-1-dataset-downloads",
      "company_id": "bespoke_labs",
      "gross_vs_net": "unspecified",
      "id": "bespoke_labs.metric.oct14-1-dataset-downloads",
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      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 10000.0
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    {
      "as_of": "2026-07",
      "basis": "OpenThoughts; Investor-reported; conflicts with lower current homepage threshold, which may simply be conservative.; Source type: dataset_downloads; original value: 100000 monthly downloads, greater than",
      "claim_id": "bespoke_labs.claim.oct14-metric-2-dataset-downloads",
      "company_id": "bespoke_labs",
      "gross_vs_net": "unspecified",
      "id": "bespoke_labs.metric.oct14-2-dataset-downloads",
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      "label": "Dataset downloads",
      "observation_status": "reported",
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 100000.0
    },
    {
      "as_of": "2026-09-19",
      "basis": "SeeWhy credit-card fee copying, offline simulations; Source type: offline_accuracy; original value: 99.2 percent",
      "claim_id": "bespoke_labs.claim.oct14-metric-3-offline-accuracy",
      "company_id": "bespoke_labs",
      "gross_vs_net": "unspecified",
      "id": "bespoke_labs.metric.oct14-3-offline-accuracy",
      "kind": "other",
      "label": "Offline accuracy",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "percent",
      "value": 99.2
    },
    {
      "as_of": "2026-10-12",
      "basis": "Nimble-v4-max, company-run evaluation; Not yet on official board; public suite is 20% of the full board score. Do not call independently leaderboard-verified.; Source type: benchmark_score; original value: 68.46 Decision Index public-suite points",
      "claim_id": "bespoke_labs.claim.oct14-metric-5-benchmark-score",
      "company_id": "bespoke_labs",
      "gross_vs_net": "unspecified",
      "id": "bespoke_labs.metric.oct14-5-benchmark-score",
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      "label": "Benchmark score",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "other",
      "value": 68.46
    },
    {
      "as_of": "2025-10-09",
      "basis": "Cumulative Shipd bounties paid; Historical investor-reported cumulative payouts; not company revenue.; Source type: contributor_payouts; original value: 1000000 USD, greater than",
      "claim_id": "datacurve.claim.oct14-metric-0-contributor-payouts",
      "company_id": "datacurve",
      "currency": "USD",
      "gross_vs_net": "unspecified",
      "id": "datacurve.metric.oct14-0-contributor-payouts",
      "kind": "other",
      "label": "Contributor payouts",
      "observation_status": "reported",
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 1000000.0
    },
    {
      "as_of": "2026-09-22",
      "basis": "DeepSWE leaderboard current release; Source type: benchmark_size; original value: 113 tasks",
      "claim_id": "datacurve.claim.oct14-metric-2-benchmark-size",
      "company_id": "datacurve",
      "gross_vs_net": "unspecified",
      "id": "datacurve.metric.oct14-2-benchmark-size",
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      "label": "Benchmark size",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 113.0
    },
    {
      "as_of": "undated",
      "basis": "DeepSWE; Source type: benchmark_repository_coverage; original value: 91 repositories",
      "claim_id": "datacurve.claim.oct14-metric-3-benchmark-repository-coverage",
      "company_id": "datacurve",
      "gross_vs_net": "unspecified",
      "id": "datacurve.metric.oct14-3-benchmark-repository-coverage",
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      "label": "Benchmark repository coverage",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 91.0
    },
    {
      "as_of": "undated",
      "basis": "DeepSWE; Source type: benchmark_language_coverage; original value: 5 languages",
      "claim_id": "datacurve.claim.oct14-metric-4-benchmark-language-coverage",
      "company_id": "datacurve",
      "gross_vs_net": "unspecified",
      "id": "datacurve.metric.oct14-4-benchmark-language-coverage",
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      "label": "Benchmark language coverage",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 5.0
    },
    {
      "as_of": "undated",
      "basis": "Shipd contributor community; Self-reported current homepage; contributor count shown as live with an unexplained asterisk, so omitted.; Source type: contributor_geography; original value: 40 countries, greater than",
      "claim_id": "datacurve.claim.oct14-metric-5-contributor-geography",
      "company_id": "datacurve",
      "gross_vs_net": "unspecified",
      "id": "datacurve.metric.oct14-5-contributor-geography",
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      "label": "Contributor geography",
      "observation_status": "reported",
      "qualifier": "greater_than",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 40.0
    },
    {
      "as_of": "undated",
      "basis": "Datasets processed since launch; Source type: data_source_companies; original value: 20 companies",
      "claim_id": "ooak.claim.oct14-metric-1-data-source-companies",
      "company_id": "ooak",
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      "label": "Data source companies",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 20.0
    },
    {
      "as_of": "undated",
      "basis": "Ingestion-to-delivery time since launch; Self-reported; exact baseline and measurement window undisclosed.; Source type: delivery_speed_improvement; original value: 3 times",
      "claim_id": "ooak.claim.oct14-metric-2-delivery-speed-improvement",
      "company_id": "ooak",
      "gross_vs_net": "unspecified",
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      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "multiple",
      "value": 3.0
    },
    {
      "as_of": "undated",
      "basis": "Advertised company-data licensing offer; Marketing ceiling, not hourly work pay or guaranteed offer.; Source type: data_partner_payout_cap; original value: 300000 USD, up to",
      "claim_id": "ooak.claim.oct14-metric-4-data-partner-payout-cap",
      "company_id": "ooak",
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      "gross_vs_net": "unspecified",
      "id": "ooak.metric.oct14-4-data-partner-payout-cap",
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      "label": "Data partner payout cap",
      "observation_status": "reported",
      "qualifier": "at_most",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 300000.0
    },
    {
      "as_of": "2026-06-18",
      "basis": "45 biology tasks plus 10 education tasks; Source type: benchmark_size; original value: 55",
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      "company_id": "pareto",
      "gross_vs_net": "unspecified",
      "id": "pareto.metric.oct14-0-benchmark-size",
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      "label": "LEAPBench tasks",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 55.0
    },
    {
      "as_of": "2026-05-27",
      "basis": "Real multi-turn human-model conversations; over 50,000 annotations; Source type: dataset_size; original value: 200",
      "claim_id": "pareto.claim.oct14-metric-1-dataset-size",
      "company_id": "pareto",
      "gross_vs_net": "unspecified",
      "id": "pareto.metric.oct14-1-dataset-size",
      "kind": "other",
      "label": "AttuneBench conversations",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 200.0
    },
    {
      "as_of": "2026-02-06",
      "basis": "End-to-end engineering tasks; Source type: benchmark_size; original value: 50",
      "claim_id": "polymath_ai_labs.claim.oct14-metric-0-benchmark-size",
      "company_id": "polymath_ai_labs",
      "gross_vs_net": "unspecified",
      "id": "polymath_ai_labs.metric.oct14-0-benchmark-size",
      "kind": "other",
      "label": "Horizon-SWE tasks",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 50.0
    },
    {
      "as_of": "2026-02-06",
      "basis": "Software-engineering tools in the simulated company; Source type: environment_scope; original value: 73",
      "claim_id": "polymath_ai_labs.claim.oct14-metric-1-environment-scope",
      "company_id": "polymath_ai_labs",
      "gross_vs_net": "unspecified",
      "id": "polymath_ai_labs.metric.oct14-1-environment-scope",
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      "label": "Horizon-SWE tools",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 73.0
    },
    {
      "as_of": "2026-02-06",
      "basis": "Horizon-SWE-PF, OpenHands harness; Historical result; not a current leaderboard claim or company growth metric.; Source type: model_benchmark_result; original value: 25.5% ±3.6",
      "claim_id": "polymath_ai_labs.claim.oct14-metric-2-model-benchmark-result",
      "company_id": "polymath_ai_labs",
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      "kind": "other",
      "label": "Opus 4.6 pass rate",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "other",
      "value": 25.5
    },
    {
      "as_of": "2026-09-29",
      "basis": "Company business; Company-reported annualized figure; do not relabel audited revenue or ARR.; Source type: revenue_run_rate; original value: USD 200M",
      "claim_id": "proximal.claim.oct14-metric-0-revenue-run-rate",
      "company_id": "proximal",
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      "label": "Annualized revenue",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "currency",
      "value": 200000000.0
    },
    {
      "as_of": "2026-09",
      "basis": "Five technical domains; 20-hour agent budget per task; Source type: benchmark_size; original value: 34",
      "claim_id": "proximal.claim.oct14-metric-1-benchmark-size",
      "company_id": "proximal",
      "gross_vs_net": "unspecified",
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      "label": "FrontierSWE v2 tasks",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 34.0
    },
    {
      "as_of": "2026-04-07",
      "basis": "SWE-Bench Pro Public, Blitzy harness; A customer benchmark score, not Quesma accuracy or revenue.; Source type: customer_benchmark_result; original value: 66.5%",
      "claim_id": "quesma.claim.oct14-metric-0-customer-benchmark-result",
      "company_id": "quesma",
      "gross_vs_net": "unspecified",
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      "label": "Audited Blitzy score",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "percent",
      "value": 66.5
    },
    {
      "as_of": "2026-10-14",
      "basis": "10 work types; 40 reviewed results across two models; Page is live and evolving; this is a snapshot.; Source type: benchmark_size; original value: 20",
      "claim_id": "refresh.claim.oct14-metric-0-benchmark-size",
      "company_id": "refresh",
      "gross_vs_net": "unspecified",
      "id": "refresh.metric.oct14-0-benchmark-size",
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      "label": "BlenderBench active tasks",
      "observation_status": "reported",
      "qualifier": "exact",
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      "segment_scope": "company",
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      "value": 20.0
    },
    {
      "as_of": "2026-10-14",
      "basis": "20 BlenderBench tasks; reward scale 0–1; Mean reward, not a pass rate.; Source type: model_benchmark_result; original value: 0.686",
      "claim_id": "refresh.claim.oct14-metric-1-model-benchmark-result",
      "company_id": "refresh",
      "gross_vs_net": "unspecified",
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      "label": "GPT-6 Astra mean reward",
      "observation_status": "reported",
      "qualifier": "exact",
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      "segment_scope": "company",
      "unit": "other",
      "value": 0.686
    },
    {
      "as_of": "2026-10-14",
      "basis": "Same 20 BlenderBench tasks; reward scale 0–1; Mean reward, not a pass rate.; Source type: model_benchmark_result; original value: 0.642",
      "claim_id": "refresh.claim.oct14-metric-2-model-benchmark-result",
      "company_id": "refresh",
      "gross_vs_net": "unspecified",
      "id": "refresh.metric.oct14-2-model-benchmark-result",
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      "label": "Claude Opus 5.5 mean reward",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "other",
      "value": 0.642
    },
    {
      "as_of": "2026-04-07",
      "basis": "Five mock services; Source type: benchmark_size; original value: 44",
      "claim_id": "benchflow.claim.oct14-metric-0-benchmark-size",
      "company_id": "benchflow",
      "gross_vs_net": "unspecified",
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      "label": "ClawsBench tasks",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 44.0
    },
    {
      "as_of": "2026-04-07",
      "basis": "Six models, four harnesses, 33 conditions; Source type: evaluation_run_count; original value: 7224",
      "claim_id": "benchflow.claim.oct14-metric-1-evaluation-run-count",
      "company_id": "benchflow",
      "gross_vs_net": "unspecified",
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      "kind": "other",
      "label": "ClawsBench evaluated trials",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 7224.0
    },
    {
      "as_of": "2026-10-14",
      "basis": "14 robotics suites; Source type: benchmark_size; original value: 341",
      "claim_id": "benchflow.claim.oct14-metric-2-benchmark-size",
      "company_id": "benchflow",
      "gross_vs_net": "unspecified",
      "id": "benchflow.metric.oct14-2-benchmark-size",
      "kind": "other",
      "label": "Robo Use tasks",
      "observation_status": "reported",
      "qualifier": "exact",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 341.0
    },
    {
      "as_of": "2026-10-14",
      "basis": "Company about-page snapshot; Stars are community attention, not customers or revenue.; Source type: open_source_adoption; original value: 1,800+",
      "claim_id": "benchflow.claim.oct14-metric-3-open-source-adoption",
      "company_id": "benchflow",
      "gross_vs_net": "unspecified",
      "id": "benchflow.metric.oct14-3-open-source-adoption",
      "kind": "other",
      "label": "SkillsBench GitHub stars",
      "observation_status": "reported",
      "qualifier": "at_least",
      "reported_vs_estimated": "reported",
      "segment_scope": "company",
      "unit": "count",
      "value": 1800.0
    },
    {
      "as_of": "2026-08",
      "basis": "10 runs each in the featured coding-agent evaluation; Model/configuration-specific; observed zero attacks is not proof of zero risk.; Source type: evaluation_scope; original value: 72",
      "claim_id": "trajectory_labs_pbc.claim.oct14-metric-0-evaluation-scope",
      "company_id": "trajectory_labs_pbc",
      "gross_vs_net": "unspecified",
      "id": "trajectory_labs_pbc.metric.oct14-0-evaluation-scope",
      "kind": "other",
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  ],
  "rubric": {
    "dimensions": [
      {
        "id": "P",
        "label": "Product / delivered offer",
        "levels": {
          "1": "Concrete current offer and identifiable use case",
          "2": "Accessible product documentation, demo, reproducible artifact, or detailed delivery workflow, with dated activity",
          "3": "Level 2 plus a documented production deployment and continuing product/service releases"
        }
      },
      {
        "id": "C",
        "label": "Customer / adoption evidence",
        "levels": {
          "1": "Supplier claims customers, displays logos, or gives an anonymous aggregate",
          "2": "At least one named deployment described in a detailed case study or attributable customer testimony",
          "3": "At least one named deployment independently corroborated by the buyer, a filing, procurement record, or other direct transaction-side evidence"
        }
      },
      {
        "id": "R",
        "label": "Repeatability / commercial continuity",
        "levels": {
          "1": "One dated paid project, contract award, revenue disclosure, or explicit paying-customer claim",
          "2": "At least one renewal/expansion, or two comparable dated revenue periods, or two distinct dated commercial deliveries at least six months apart",
          "3": "Level 2 plus at least three distinct named buyer organizations and evidence of commercial continuity across at least 24 months; alternatively, financial statements establish revenue across two annual periods"
        }
      },
      {
        "id": "O",
        "label": "Operating readiness / delivery discipline",
        "levels": {
          "1": "Named accountable team and documented delivery process",
          "2": "Level 1 plus specific QA/acceptance methodology and buyer-facing operational/security documentation",
          "3": "Level 2 plus independently evidenced operational performance or independently assessed controls with current scope and dates"
        }
      }
    ],
    "notes": "P = product / delivered offer; C = customer / adoption; R = repeatability / commercial continuity; O = operating readiness. These are disclosure-based evidence minimums, not guarantees or judgments of honesty. Assessments may understate private businesses. Company-wide evidence does not automatically establish AI-data-segment maturity.",
    "stages": [
      {
        "definition": "P ≥ 2 and C ≥ 3 and R ≥ 3 and O ≥ 2",
        "id": "established_commercial_evidence",
        "label": "Established commercial evidence",
        "minimums": {
          "C": "3",
          "O": "2",
          "P": "2",
          "R": "3"
        }
      },
      {
        "definition": "P ≥ 2 and C ≥ 2 and R ≥ 2 and O ≥ 2",
        "id": "repeatable_commercial_evidence",
        "label": "Repeatable commercial evidence",
        "minimums": {
          "C": "2",
          "O": "2",
          "P": "2",
          "R": "2"
        }
      },
      {
        "definition": "P ≥ 2 and C ≥ 2",
        "id": "demonstrated_delivery",
        "label": "Demonstrated delivery",
        "minimums": {
          "C": "2",
          "P": "2"
        }
      },
      {
        "definition": "P ≥ 1 and O ≥ 1",
        "id": "visible_operating_offer",
        "label": "Visible operating offer",
        "minimums": {
          "O": "1",
          "P": "1"
        }
      },
      {
        "definition": "No higher rule is satisfied by reviewed evidence.",
        "id": "insufficient_public_evidence",
        "label": "Insufficient public evidence to classify",
        "minimums": {}
      }
    ],
    "status": "final",
    "title": "Commercial maturity: public evidence minimums",
    "version": "1.0.0"
  },
  "schema_version": "1.3.0",
  "sources": [
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.m1",
      "notes": "primary_company Earlier registry status: checked on 2026-10-12. Final audit source mercor.source.audit-m1: Review status: reopened and reverified 2026-10-12.",
      "previous_checks": [
        {
          "accessed_on": "2026-10-12",
          "retrieval_status": "checked"
        }
      ],
      "published_on": "2024-01-10",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Launch and seed announcement",
      "url": "https://www.mercor.com/blog/1/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.m2",
      "notes": "primary_company Earlier registry status: checked on 2026-10-12. Final audit source mercor.source.audit-m2: Review status: reopened and reverified 2026-10-12.",
      "previous_checks": [
        {
          "accessed_on": "2026-10-12",
          "retrieval_status": "checked"
        }
      ],
      "published_on": "2024-09-19",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Mercor Series A",
      "url": "https://www.prnewswire.com/news-releases/mercor-raises-30m-series-a-at-a-250m-valuation-to-create-jobs-with-ai-302252449.html"
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      "notes": "official_job_posting Earlier registry status: summary_only on 2026-10-12. Final audit source datacurve.source.audit-dc-job: Review status: checked indexed text. Undated and internally describes Series A as unannounced; direct fetch JavaScript-only.",
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      "publisher": "Datacurve",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Strategic Project Lead – Growth & Operations",
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      "retrieval_status": "summary_only",
      "source_type": "other",
      "title": "Product Engineer",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.b_dc9",
      "notes": "official_job_board",
      "publisher": "Datacurve",
      "retrieval_status": "summary_only",
      "source_type": "other",
      "title": "Careers",
      "url": "https://datacurve.ai/careers"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.b_dc10",
      "notes": "database_secondary_conflicted",
      "publisher": "CB Insights",
      "retrieval_status": "summary_only",
      "source_type": "database",
      "title": "DataCurve financials",
      "url": "https://www.cbinsights.com/company/datacurve/financials"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "benchflow",
      "id": "benchflow.source.b_bf1",
      "notes": "company_primary",
      "publisher": "BenchFlow",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "BenchFlow frontier environment lab",
      "url": "https://www.benchflow.ai/"
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    {
      "accessed_on": "2026-10-12",
      "company_id": "benchflow",
      "id": "benchflow.source.b_bf2",
      "notes": "company_primary",
      "publisher": "BenchFlow",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "About BenchFlow",
      "url": "https://www.benchflow.ai/about"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "benchflow",
      "id": "benchflow.source.b_bf3",
      "notes": "founder_primary",
      "publisher": "Xiangyi Li / LinkedIn",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Build the future of AI evals; funding and hiring announcement",
      "url": "https://www.linkedin.com/posts/l1xiangyi_build-the-future-of-ai-evals-backed-by-activity-7295017974141198337-I0iB"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "benchflow",
      "id": "benchflow.source.b_bf4",
      "notes": "university_alumni_profile",
      "published_on": "2026-03-03",
      "publisher": "CUHK Shenzhen School of Data Science",
      "retrieval_status": "summary_only",
      "source_type": "other",
      "title": "Alumnus Xiangyi Li builds BenchFlow and raises over $1M",
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      "accessed_on": "2026-10-12",
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      "notes": "research_primary; Publication date label: 2026-02",
      "publisher": "Authors / arXiv",
      "retrieval_status": "summary_only",
      "source_type": "other",
      "title": "SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "benchflow",
      "id": "benchflow.source.b_bf6",
      "notes": "founder_primary",
      "publisher": "Xiangyi Li / LinkedIn",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "BenchFlow angel-funding and accelerator clarification",
      "url": "https://www.linkedin.com/posts/l1xiangyi_of-all-rl-environment-companies-in-this-market-activity-7457694547343646720-2z3f"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-1",
      "notes": "company_primary",
      "publisher": "G2i",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Our Company",
      "url": "https://www.g2i.ai/our-company"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-2",
      "notes": "company_primary",
      "publisher": "G2i",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "The engineering layer powering AI training",
      "url": "https://www.g2i.ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-3",
      "notes": "company_primary",
      "publisher": "G2i",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "About G2i",
      "url": "https://www.g2i.co/about"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-4",
      "notes": "company_primary",
      "publisher": "G2i",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "For Talent",
      "url": "https://www.g2i.ai/for-talent"
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    {
      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-5",
      "notes": "employer_job_posting",
      "publisher": "G2i via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Senior Software Engineer, AI Training - United States",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-6",
      "notes": "Exact publication date unavailable in retrieved page; quarter explicitly specified.",
      "publisher": "Gabe Greenberg / LinkedIn",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "G2i exceeds 2025 revenue in Q1 2026",
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      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-7",
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      "publisher": "G2i",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "For Talent: historical placement and payout metrics",
      "url": "https://www.g2i.co/for-talent"
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      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-8",
      "notes": "Explicitly says no management interview; estimate excluded as fact",
      "published_on": "2026-09-10",
      "publisher": "GetLatka",
      "retrieval_status": "checked",
      "source_type": "database",
      "title": "G2i Revenue 2025: estimated $40.4M",
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    {
      "accessed_on": "2026-10-12",
      "company_id": "g2i",
      "id": "g2i.source.g2i-9",
      "notes": "supplier_customer_case_study",
      "publisher": "G2i",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "How Shopmonkey Scales Engineering Fast While Maintaining Quality with G2i",
      "url": "https://www.g2i.co/blog/shopmonkey-case-study"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-1",
      "notes": "company_primary",
      "publisher": "A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Hire Senior RL & Environments Engineers",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-2",
      "notes": "company_primary",
      "publisher": "A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Hire Pre-Vetted Tech & AI Talent",
      "url": "https://www.a.team/hire-tech-talent"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-3",
      "notes": "company_primary",
      "published_on": "2022-05-17",
      "publisher": "Raphael Ouzan / A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Why We Raised $60M to Create the Team Economy",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-4",
      "notes": "company_primary",
      "publisher": "A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Case Studies",
      "url": "https://www.a.team/case-studies"
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      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-5",
      "notes": "credible_reporting",
      "published_on": "2022-05-17",
      "publisher": "CTech",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "A.Team raises $55 million Series A",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-6",
      "notes": "transaction_counsel_primary",
      "published_on": "2022-05-17",
      "publisher": "Gunderson Dettmer",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Spruce House and Tiger Global Co-Lead $55M Series A Financing of A.Team",
      "url": "https://www.gunder.com/print/v2/content/2109/spruce-house-and-tiger-global-co-lead-55m-series-a-financing-of-a-team.pdf?lang=en"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-7",
      "notes": "reporting_of_founder_claim",
      "published_on": "2022-05-17",
      "publisher": "Globes",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Freelance developer network A.Team raises $55m",
      "url": "https://en.globes.co.il/en/article-Freelance-developer-network-ATeam-raises-55m-1001412271"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-8",
      "notes": "company_primary",
      "publisher": "A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Join A.Team: Contract Work for Senior Engineers & AI Builders",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-9",
      "notes": "company_primary",
      "publisher": "A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AI Engineer, Architect & PM Jobs",
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    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-10",
      "notes": "secondary_private_market_database",
      "publisher": "Caplight",
      "retrieval_status": "checked",
      "source_type": "database",
      "title": "A.Team Valuation & Funding History",
      "url": "https://www.caplight.com/company/ateam"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-11",
      "notes": "supplier_customer_case_study",
      "publisher": "A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "BlankStreet: digital ordering case study",
      "url": "https://www.a.team/case-studies/blankstreet"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "a-team",
      "id": "a-team.source.ateam-12",
      "notes": "company_primary",
      "publisher": "A.Team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AI Solutions for Consumer Brands",
      "url": "https://www.a.team/ai-solutions"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-1",
      "notes": "company_primary Selected primary page rechecked October 15, 2026; redirects retain their historical source URL. Current HackerRank brand is Bench; current Invisible page identifies Francis as founder. Undated operating claims retain undated labels. Canonical destination verified October 15, 2026; former source URL: https://www.hackerrank.com/astra. Historical labels and claim dates remain in their records.",
      "publisher": "HackerRank",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Astra: RL environments, verifiers, and evaluations for frontier agents",
      "url": "https://www.hackerrank.com/bench"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-2",
      "notes": "company_primary Canonical destination verified October 15, 2026; former source URL: https://www.hackerrank.com/astra/report. Historical labels and claim dates remain in their records.",
      "publisher": "HackerRank",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "HackerRank-Bench: Technical report",
      "url": "https://www.hackerrank.com/bench/report"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-3",
      "notes": "company_primary",
      "publisher": "HackerRank",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "About Us",
      "url": "https://www.hackerrank.com/about-us"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-4",
      "notes": "company_primary",
      "publisher": "HackerRank",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Our Team",
      "url": "https://www.hackerrank.com/about-us/our-team/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-5",
      "notes": "issuer_press_release",
      "published_on": "2022-03-29",
      "publisher": "HackerRank / PR Newswire",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "HackerRank Raises $60 Million Series D",
      "url": "https://www.prnewswire.com/news-releases/hackerrank-raises-60-million-series-d-to-accelerate-the-worlds-innovation-301512548.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-6",
      "notes": "issuer_press_release",
      "published_on": "2022-02-08",
      "publisher": "HackerRank / PR Newswire",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "HackerRank Announces 72% ARR Growth",
      "url": "https://www.prnewswire.com/news-releases/hackerrank-closes-out-on-banner-year-announces-72-arr-growth-amid-global-talent-shortage-301477867.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-7",
      "notes": "Official page links SME registration at https://form.typeform.com/to/o5w6HL9W",
      "publisher": "HackerRank",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Astra: Expert-Crafted Data for Coding Models",
      "url": "https://webflow.hackerrank.com/astra-landing"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-8",
      "notes": "Historical 2025 contest",
      "publisher": "HackerRank",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "HackerRank Astra: Human + AI",
      "url": "https://www.hackerrank.com/event/hackerrank-astra-may"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-9",
      "notes": "credible_reporting",
      "published_on": "2014-06-13",
      "publisher": "VCCircle",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "HackerRank bags $9.2M Series B",
      "url": "https://www.vccircle.com/technical-recruiting-platform-hackerrank-bags-92m-series-b-funding-khosla"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "hackerrank",
      "id": "hackerrank.source.hr-10",
      "notes": "secondary_private_market_database",
      "publisher": "Forge",
      "retrieval_status": "checked",
      "source_type": "database",
      "title": "HackerRank pre-IPO valuation and funding rounds",
      "url": "https://forgeglobal.com/hackerrank_ipo/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-1",
      "notes": "company_primary",
      "publisher": "Pareto AI",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "About Us",
      "url": "https://pareto.ai/about-us"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-2",
      "notes": "company_primary",
      "publisher": "Pareto AI",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Join as an Expert",
      "url": "https://pareto.ai/experts"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-3",
      "notes": "April 4, 2026 employer claim; over six months old on the access date. Continued page availability does not verify current production/customer status.",
      "published_on": "2026-04-04",
      "publisher": "Pareto via MaC Venture Capital",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AI Engagement Manager",
      "url": "https://jobs.macventurecapital.com/companies/pareto/jobs/73419254-ai-engagement-manager"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-4",
      "notes": "employer_job_posting",
      "publisher": "Pareto via MaC Venture Capital",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Full Stack Engineer (closed historical listing)",
      "url": "https://jobs.macventurecapital.com/companies/pareto/jobs/34431079-full-stack-engineer"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-5",
      "notes": "company_primary",
      "publisher": "Pareto AI",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research",
      "url": "https://pareto.ai/research"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-6",
      "notes": "founder_public_statement",
      "published_on": "2022-03-14",
      "publisher": "Phoebe Yao / Pareto on LinkedIn",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "We raised $4.5M: What’s next for Pareto",
      "url": "https://my.linkedin.com/posts/phoebexyao_we-raised-45m-whats-next-for-pareto-activity-6909279287611113472-SxEe"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-7",
      "notes": "Historical claims only; not current financials",
      "publisher": "StartupFundraising",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Pareto Pitch Deck (2022): 12-Slide Seed Deck",
      "url": "https://startupfundraising.com/library/articles/pareto-pitch-deck-teardown"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-8",
      "notes": "secondary_database",
      "publisher": "Simplify",
      "retrieval_status": "checked",
      "source_type": "database",
      "title": "Jobs and Employment at Pareto: funding",
      "url": "https://simplify.jobs/c/Pareto"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "pareto",
      "id": "pareto.source.pareto-9",
      "notes": "Closed listing",
      "publisher": "Pareto via MaC Venture Capital",
      "retrieval_status": "checked",
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      "source_type": "company",
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      "source_type": "company",
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      "id": "bespoke_labs.source.audit-dimakis",
      "notes": "Review status: checked. ",
      "publisher": "UC Berkeley",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Alex Dimakis faculty biography",
      "url": "https://www2.eecs.berkeley.edu/Faculty/Homepages/adim.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "bespoke_labs",
      "id": "bespoke_labs.source.audit-bl-funding",
      "notes": "Review status: checked. ",
      "published_on": "2026-07-06",
      "publisher": "Bespoke Labs",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Bespoke Labs Raises $40M",
      "url": "https://bespokelabs.ai/blog/bespoke-labs-raises-40m-to-build-environments-that-enable-reliable-agents"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "bespoke_labs",
      "id": "bespoke_labs.source.audit-wing",
      "notes": "Review status: checked. Primary source says $31.3M Series A, conflicting with $31.75M press figure. Source date label: 2026-07",
      "publisher": "Wing Venture Capital",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Investing in Bespoke Labs",
      "url": "https://www.wing.vc/content/investing-in-bespoke-ai"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "bespoke_labs",
      "id": "bespoke_labs.source.audit-bl-round-press",
      "notes": "Review status: checked. ",
      "published_on": "2026-07-06",
      "publisher": "SiliconANGLE",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "AI post-training startup Bespoke Labs raises $40M",
      "url": "https://siliconangle.com/2026/07/06/ai-post-training-startup-bespoke-labs-raises-40m-funding/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "bespoke_labs",
      "id": "bespoke_labs.source.audit-bl-home",
      "notes": "Review status: checked. ",
      "publisher": "Bespoke Labs",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Bespoke Labs home",
      "url": "https://bespokelabs.ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "bespoke_labs",
      "id": "bespoke_labs.source.audit-bl-pr",
      "notes": "Review status: checked. ",
      "published_on": "2026-07-06",
      "publisher": "Bespoke Labs via Business Wire",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Bespoke Labs announces $40M",
      "url": "https://markets.financialcontent.com/buffnews/article/bizwire-2026-7-6-bespoke-labs-announces-40m-to-build-the-environments-that-train-reliable-agents"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "bespoke_labs",
      "id": "bespoke_labs.source.audit-seewhy",
      "notes": "Review status: checked. ",
      "published_on": "2026-09-19",
      "publisher": "Bespoke Labs",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Post-Training SeeWhy with Intuit/Credit Karma",
      "url": "https://bespokelabs.ai/blog/post-training-seewhy-with-intuit-credit-karma"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "bespoke_labs",
      "id": "bespoke_labs.source.audit-seewhy-earlier",
      "notes": "Review status: checked. ",
      "published_on": "2026-06-27",
      "publisher": "Alex Dimakis",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "How to post-train Small Specialized LLMs with Dynamic Semantic Tags",
      "url": "https://www.linkedin.com/pulse/how-post-train-small-specialized-llms-dynamic-semantic-alex-dimakis-f85hc"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-round",
      "notes": "Review status: checked. ",
      "published_on": "2026-09-29",
      "publisher": "Proximal",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "New Frontiers",
      "url": "https://www.proximal.so/blog/new-frontiers/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-wsgr",
      "notes": "Review status: checked indexed text. ",
      "published_on": "2026-09-30",
      "publisher": "Wilson Sonsini",
      "retrieval_status": "summary_only",
      "source_type": "other",
      "title": "Wilson Sonsini advises Proximal on $15M seed",
      "url": "https://www.wsgr.com/en/insights/wilson-sonsini-advises-proximal-on-dollar15-million-seed-round-as-it-emerges-from-stealth.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-dealroom",
      "notes": "Review status: checked indexed text. Relays The Information; not an independent revenue audit.",
      "published_on": "2026-09-29",
      "publisher": "Dealroom",
      "retrieval_status": "summary_only",
      "source_type": "independent_reporting",
      "title": "Proximal exits stealth",
      "url": "https://dealroom.co/news/157682-proximal-exits-stealth-with-15m-seed-as-revenue-tops-200m/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-scribble",
      "notes": "Review status: checked indexed text. ",
      "publisher": "Stu Smith / Scribble Ventures",
      "retrieval_status": "summary_only",
      "source_type": "investor",
      "title": "Scribble Ventures invests in Proximal",
      "url": "https://www.linkedin.com/posts/imstusmith_excited-to-finally-share-that-scribble-ventures-activity-7430007099004432384-cqbR"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-fetchr",
      "notes": "Review status: checked. ",
      "publisher": "Y Combinator",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Fetchr profile",
      "url": "https://www.ycombinator.com/companies/fetchr"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-synthetic1",
      "notes": "Review status: checked. ",
      "published_on": "2025-02-20",
      "publisher": "Prime Intellect",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "SYNTHETIC-1 release",
      "url": "https://www.primeintellect.ai/blog/synthetic-1-release"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-infra",
      "notes": "Review status: checked. ",
      "published_on": "2026-10-08",
      "publisher": "Proximal",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Post-training infrastructure at Proximal",
      "url": "https://www.proximal.so/blog/posttraining-infra/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-benchmark",
      "notes": "Review status: checked. ",
      "publisher": "Proximal",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "FrontierSWE v2",
      "url": "https://www.frontierswe.com/blog/v2"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "proximal",
      "id": "proximal.source.audit-px-partners",
      "notes": "Review status: checked indexed text. ",
      "publisher": "Proximal",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "FrontierSWE acknowledgements",
      "url": "https://www.proximal.ai/blog/frontierswe/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "polymath_ai_labs",
      "id": "polymath_ai_labs.source.audit-pm-yc",
      "notes": "Review status: checked. ",
      "publisher": "Y Combinator",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Polymath company profile",
      "url": "https://www.ycombinator.com/companies/polymath"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "polymath_ai_labs",
      "id": "polymath_ai_labs.source.audit-pm-home",
      "notes": "Review status: checked. ",
      "publisher": "Polymath",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Polymath home",
      "url": "https://polymathlabs.ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "polymath_ai_labs",
      "id": "polymath_ai_labs.source.audit-pm-job",
      "notes": "Review status: checked indexed text. Direct page is JavaScript-only; search-indexed public employer text reviewed.",
      "publisher": "Polymath",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Strategic Projects Lead",
      "url": "https://jobs.ashbyhq.com/polymath/8550d81d-806a-45db-a5c8-02588729b861/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "polymath_ai_labs",
      "id": "polymath_ai_labs.source.audit-pm-founder",
      "notes": "Review status: checked indexed text. ",
      "publisher": "Dylan Ma",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Dylan Ma public funding statement",
      "url": "https://www.linkedin.com/in/dylanma5621"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "polymath_ai_labs",
      "id": "polymath_ai_labs.source.audit-pm-bench",
      "notes": "Review status: checked. Updated February 6, 2026.",
      "published_on": "2026-02-02",
      "publisher": "Polymath",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Introducing Horizon-SWE",
      "url": "https://polymathlabs.ai/blog/horizon-swe"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "polymath_ai_labs",
      "id": "polymath_ai_labs.source.audit-pm-cbi",
      "notes": "Review status: checked indexed text. ",
      "publisher": "CB Insights",
      "retrieval_status": "summary_only",
      "source_type": "database",
      "title": "Berkeley Frontier Fund investment history",
      "url": "https://www.cbinsights.com/investor/berkeley-frontier-fund"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "trajectory_labs_pbc",
      "id": "trajectory_labs_pbc.source.audit-tl-home",
      "notes": "Review status: checked. ",
      "publisher": "Trajectory Labs",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Trajectory Labs PBC team and work",
      "url": "https://www.trajectorylabs.com/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "trajectory_labs_pbc",
      "id": "trajectory_labs_pbc.source.audit-tl-founder",
      "notes": "Review status: checked indexed text. Relative LinkedIn age is not treated as exact publication date.",
      "publisher": "Peter McIntyre",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Trajectory company launch",
      "url": "https://www.linkedin.com/posts/peteramcintyre_ive-founded-a-company-trajectory-labs-is-activity-7395196027894673408-MP_J"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "trajectory_labs_pbc",
      "id": "trajectory_labs_pbc.source.audit-tl-meta",
      "notes": "Review status: checked. Page 91 identifies Trajectory partnership and proprietary attack generation.",
      "published_on": "2026-05-26",
      "publisher": "Meta",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Muse Spark Safety & Preparedness Report",
      "url": "https://ai.meta.com/static-resource/muse-spark-safety-and-preparedness-report/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "trajectory_labs_pbc",
      "id": "trajectory_labs_pbc.source.audit-tl-ops",
      "notes": "Review status: checked. ",
      "publisher": "Trajectory Labs",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Evals Lead, AI Red Teaming",
      "url": "https://www.trajectorylabs.com/careers/evals-lead-ai-red-teaming"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "quesma",
      "id": "quesma.source.audit-q-about",
      "notes": "Review status: checked. ",
      "publisher": "Quesma",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "About Quesma",
      "url": "https://quesma.com/about/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "quesma",
      "id": "quesma.source.audit-q-split",
      "notes": "Review status: checked. ",
      "published_on": "2025-01-17",
      "publisher": "Quesma",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Team update",
      "url": "https://quesma.com/blog/team-update/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "quesma",
      "id": "quesma.source.audit-q-postmortem",
      "notes": "Review status: checked. ",
      "published_on": "2025-11-04",
      "publisher": "Quesma",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Database gateway postmortem",
      "url": "https://quesma.com/blog/database-gateway-postmortem/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "quesma",
      "id": "quesma.source.audit-q-inovo",
      "notes": "Review status: checked. ",
      "publisher": "Inovo",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Quesma portfolio entry",
      "url": "https://inovo.vc/portfolio/quesma"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "quesma",
      "id": "quesma.source.audit-q-product",
      "notes": "Review status: checked. ",
      "publisher": "Quesma",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "How Quesma works",
      "url": "https://quesma.com/product/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "quesma",
      "id": "quesma.source.audit-q-hydrolix",
      "notes": "Review status: checked. ",
      "published_on": "2025-09-18",
      "publisher": "Hydrolix via PR Newswire",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Hydrolix purchases Quesma gateway IP",
      "url": "https://www.prnewswire.com/news-releases/hydrolix-adds-quesma-gateway-proxy-ip-to-its-portfolio-assuring-continued-kibana-support-302559127.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-yc",
      "notes": "Review status: checked. ",
      "publisher": "Y Combinator",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Datacurve company profile",
      "url": "https://www.ycombinator.com/companies/datacurve"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-funding",
      "notes": "Review status: checked. ",
      "publisher": "Datacurve / Serena Ge",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Datacurve announces $17.7M",
      "url": "https://www.linkedin.com/posts/datacurveai_were-excited-to-announce-that-datacurve-activity-7382142078681587712-Ncml"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-investors",
      "notes": "Review status: checked indexed text. ",
      "publisher": "Mark Goldberg / Chemistry",
      "retrieval_status": "summary_only",
      "source_type": "investor",
      "title": "Datacurve Series A investors",
      "url": "https://www.linkedin.com/posts/mark-goldberg-25458110_im-so-excited-to-announce-our-investment-activity-7382091320376578048-yhmS"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-tc",
      "notes": "Review status: checked indexed text. Only used for Balaji Srinivasan seed participation; 25-word source limit.",
      "published_on": "2025-10-09",
      "publisher": "TechCrunch",
      "retrieval_status": "summary_only",
      "source_type": "independent_reporting",
      "title": "Datacurve raises $15M",
      "url": "https://techcrunch.com/2025/10/09/datacurve-raises-15-million-to-take-on-scaleai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-job",
      "notes": "Review status: checked indexed text. Undated and internally describes Series A as unannounced; direct fetch JavaScript-only.",
      "publisher": "Datacurve",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Strategic Project Lead company snapshot",
      "url": "https://jobs.ashbyhq.com/datacurve/ce95a1ce-957e-4482-805e-964c4690ba9a"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-growth",
      "notes": "Review status: checked indexed text. ",
      "publisher": "Datacurve",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Founding Growth",
      "url": "https://jobs.ashbyhq.com/datacurve/f54ca726-3a58-45cf-8583-44b1946703b4"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-products",
      "notes": "Review status: checked. ",
      "publisher": "Datacurve",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Products",
      "url": "https://datacurve.ai/products"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-research",
      "notes": "Review status: checked. ",
      "publisher": "Datacurve",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research",
      "url": "https://datacurve.ai/research"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-deepswe",
      "notes": "Review status: checked. Leaderboard update date, not company founding or revenue date.",
      "published_on": "2026-09-22",
      "publisher": "Datacurve",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "DeepSWE v1.1",
      "url": "https://deepswe.datacurve.ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "datacurve",
      "id": "datacurve.source.audit-dc-homebrew",
      "notes": "Review status: checked. Same Series A as October 2025; later page date does not create a new financing.",
      "published_on": "2026-06-26",
      "publisher": "Homebrew",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Datacurve raises $15M",
      "url": "https://www.homebrew.co/blog-posts/datacurve-raises-usd15-million-to-deliver-frontier-coding-data-to-help-ai-model-companies-solve-complex-problems"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "quesma",
      "id": "quesma.source.audit-initial-funding",
      "notes": "Review status: checked. ",
      "published_on": "2023-12-22",
      "publisher": "Tech.eu",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Quesma raises $2.3M pre-seed",
      "url": "https://tech.eu/2023/12/22/quesma-s-novel-database-gateway-raises-2-3m-pre-seed-funding"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m1",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2024-01-10",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Launch and seed announcement",
      "url": "https://www.mercor.com/blog/1/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m2",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2024-09-19",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Mercor Series A",
      "url": "https://www.prnewswire.com/news-releases/mercor-raises-30m-series-a-at-a-250m-valuation-to-create-jobs-with-ai-302252449.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m3",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2025-02-20",
      "publisher": "news.bloomberglaw.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Mercor Series B",
      "url": "https://news.bloomberglaw.com/private-equity/startup-led-by-21-year-old-thiel-fellow-lands-2-billion-value"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m4",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-10-27",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Mercor Series C",
      "url": "https://www.mercor.com/blog/series-c/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m5",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Mercor mission",
      "url": "https://www.mercor.com/mission/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m6",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "sacra.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Mercor financial profile",
      "url": "https://sacra.com/c/mercor/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m7",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2026-07-21",
      "publisher": "www.theinformation.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Mercor customer concentration",
      "url": "https://www.theinformation.com/articles/mercors-fast-growth-relies-biggest-ai-companies-documents-show"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m8",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2026-08-26",
      "publisher": "www.mercor.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Mercor website privacy notice",
      "url": "https://www.mercor.com/privacy-notice/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m9",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-06-25",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Security investigation update",
      "url": "https://www.mercor.com/blog/update-on-mercor-security-incident/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m10",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.mercor.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Mercor newsroom",
      "url": "https://www.mercor.com/newsroom/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m11",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2026-07-09",
      "publisher": "techcrunch.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Mercor fundraising talks",
      "url": "https://techcrunch.com/2026/07/09/mercor-is-in-talks-for-a-20b-valuation/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m12",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2025-02-20",
      "publisher": "techcrunch.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Series A discrepancy",
      "url": "https://techcrunch.com/2025/02/20/mercor-an-ai-recruiting-startup-founded-by-21-year-olds-raises-100m-at-2b-valuation/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-m13",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.mercor.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Annotation instruction and QA documentation",
      "url": "https://www.mercor.com/docs/writing-great-instructions/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-audit_m14",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.felicis.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Felicis portfolio: Series B amount and founders",
      "url": "https://www.felicis.com/portfolio/mercor"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-audit_m15",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-02-20",
      "publisher": "www.felicis.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Felicis Series B announcement",
      "url": "https://www.felicis.com/blog/investing-in-mercor"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-audit_m16",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-07-09",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Deeptune acquisition announcement and expert network",
      "url": "https://www.mercor.com/blog/mercor-to-acquire-deeptune/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-audit_m17",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-09-30",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Mercor engineering evaluation throughput",
      "url": "https://www.mercor.com/blog/how-we-20x-llm-eval-throughput/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-audit_m18",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-07-21",
      "publisher": "www.felicis.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Investor-published growth timeline",
      "url": "https://www.felicis.com/blog/mercor-profile-organizing-human-intelligence-to-power-the-ai-economy"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "mercor",
      "id": "mercor.source.audit-audit_m19",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-02-20",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Company Series B investors and growth",
      "url": "https://www.mercor.com/blog/series-b/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s1",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2020-07-14",
      "publisher": "greylock.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Founders and early financing",
      "url": "https://greylock.com/blog/snorkel-making-ai-practical-investment/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s2",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2020-07-14",
      "publisher": "www.gv.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Launch funding",
      "url": "https://www.gv.com/news/snorkel-machine-learning"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s3",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2021-04-05",
      "publisher": "snorkel.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series B",
      "url": "https://snorkel.ai/blog/introducing-application-studio/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s4",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-05-29",
      "publisher": "snorkel.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series D and product launch",
      "url": "https://snorkel.ai/blog/building-the-ai-data-development-platform-for-specialized-ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s5",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-09-22",
      "publisher": "snorkel.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series E",
      "url": "https://snorkel.ai/blog/data-2-0-and-the-research-era-of-ai-data/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s6",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2021-08-09",
      "publisher": "www.globenewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series C",
      "url": "https://www.globenewswire.com/news-release/2021/08/09/2277249/0/en/Snorkel-AI-Raises-85-Million-at-1-Billion-Valuation-for-Data-Centric-AI.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s7",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2026-09-22",
      "publisher": "hk.marketscreener.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Reuters growth report",
      "url": "https://hk.marketscreener.com/news/snorkel-ai-valued-at-3-5-billion-amid-surging-demand-for-complex-ai-training-data-ce785ad8dc89f027"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s8",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "snorkel.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Company and logo wall",
      "url": "https://snorkel.ai/company/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s9",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "go.snorkel.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Product customer evidence",
      "url": "https://go.snorkel.ai/rs/979-SZB-034/images/a-practical-guide-to-automated-data-labeling-ebook-snorkel-ai-compressed.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s10",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "snorkel.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Expert work",
      "url": "https://snorkel.ai/expert-community/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s11",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.linkedin.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Company-owned profile",
      "url": "https://www.linkedin.com/company/snorkel-ai"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s12",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "snorkel.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Capability statement",
      "url": "https://snorkel.ai/wp-content/uploads/2022/04/Snorkel-AI-Capability-Statement.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s13",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "snorkel.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Experian production case",
      "url": "https://snorkel.ai/customer-story/how-experian-improved-agent-response-times-under-3-seconds-with-snorkel/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s14",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2024-08-08",
      "publisher": "www.nasdaq.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "BNY strategic agreement",
      "url": "https://www.nasdaq.com/press-release/correcting-and-replacing-snorkel-ai-signs-agreement-bny-accelerate-development-ai"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s15",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "snorkel.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Delivery and review methodology",
      "url": "https://snorkel.ai/how-it-works/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s16",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "security.snorkel.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Buyer security portal",
      "url": "https://security.snorkel.ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "snorkel_ai",
      "id": "snorkel_ai.source.audit-s17",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-08-06",
      "publisher": "newsroom.accenture.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Accenture strategic investment",
      "url": "https://newsroom.accenture.com/news/2025/accenture-invests-in-snorkel-ai-to-help-financial-services-firms-transform-data-into-ai-solutions"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h1",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.kleinerperkins.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Parent founders and history",
      "url": "https://www.kleinerperkins.com/perspectives/handshake-moving-the-needle-on-inequality/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h2",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "joinhandshake.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Handshake about",
      "url": "https://joinhandshake.com/about/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h3",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "joinhandshake.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Handshake legal identity",
      "url": "https://joinhandshake.com/privacy-policy/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h4",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-04-23",
      "publisher": "www.notablecap.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "AI business run-rate",
      "url": "https://www.notablecap.com/blog/garrett-lord-went-all-in-on-handshake-ai-now-its-at-nearly-1b"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h5",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2022-01-19",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Parent Series F",
      "url": "https://www.prnewswire.com/news-releases/no-network-required-handshake-raises-200m-to-help-gen-z-launch-careers-301463445.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h6",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2025-03-24",
      "publisher": "www.clay.com",
      "retrieval_status": "unverified",
      "source_type": "database",
      "title": "Parent total funding",
      "url": "https://www.clay.com/dossier/handshake-funding"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h7",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "joinhandshake.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Cleanlab acquisition",
      "url": "https://joinhandshake.com/blog/our-team/handshake-acquires-cleanlab/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h8",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2026-05-10",
      "publisher": "jobs.notablecap.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Company hiring description",
      "url": "https://jobs.notablecap.com/companies/joinhandshake-com/jobs/78167333-senior-it-support-analyst"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h9",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "joinhandshake.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Handshake AI work program",
      "url": "https://joinhandshake.com/ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h10",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "ai-support.joinhandshake.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "AI project assessment workflow",
      "url": "https://ai-support.joinhandshake.com/articles/41129932721431"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h11",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2018-10-31",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Parent Series C",
      "url": "https://www.prnewswire.com/news-releases/early-career-network-handshake-raises-40-million-in-series-c-funding-led-by-eqt-ventures-to-increase-access-to-opportunity-to-college-students-300741038.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h12",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2020-10-20",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Parent Series D",
      "url": "https://www.prnewswire.com/news-releases/handshake-announces-80m-in-series-d-financing-now-connects-community-college-students-to-in-demand-new-collar-jobs-301155298.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-h13",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2021-05-12",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Parent Series E and cumulative total",
      "url": "https://www.prnewswire.com/news-releases/handshake-secures-another-80m-to-accelerate-virtual-recruiting-and-diverse-hiring-practices-301289357.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-audit_h14",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2016-11-17",
      "publisher": "techcrunch.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Historical Series B",
      "url": "https://techcrunch.com/2016/11/17/handshake-nabs-another-20m-to-end-geographic-advantages-in-recruiting/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.audit-audit_h15",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "joinhandshake.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Handshake current product direction and parent network",
      "url": "https://joinhandshake.com/blog/our-team/our-refounding-in-the-ai-era/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u1",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-09-12",
      "publisher": "www.einpresswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series A and operations",
      "url": "https://www.einpresswire.com/article/848594715/micro1-raises-35m-series-a-as-demand-grows-for-human-intelligence-in-ai"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u2",
      "notes": "Review status: redirected to generic homepage not verified.  October 15 public read resolves to generic Activant homepage. Supports investor affiliation only; no founder or founding-year support.",
      "publisher": "activantcapital.com",
      "retrieval_status": "unverified",
      "source_type": "investor",
      "title": "Investor profile",
      "url": "https://activantcapital.com/companies/micro1"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u3",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2026-07-21",
      "publisher": "www.micro1.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Legal identity and contact",
      "url": "https://www.micro1.ai/legal/privacy-policy"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u4",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-09-23",
      "publisher": "www.forbes.com.au",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Reported new financing",
      "url": "https://www.forbes.com.au/news/uncategorized/this-25-year-old-raised-us100-million-for-his-ai-startup-at-a-us4-billion-valuation/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u5",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "forgeglobal.com",
      "retrieval_status": "unverified",
      "source_type": "database",
      "title": "Historical funding total",
      "url": "https://forgeglobal.com/micro1_ipo/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u6",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-08-20",
      "publisher": "techcrunch.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Gross run-rate",
      "url": "https://techcrunch.com/2026/08/20/ai-data-startup-micro1-reaches-500m-gross-run-rate-amid-ai-training-boom/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u7",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-10-09",
      "publisher": "www.micro1.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Data acquisition commitment",
      "url": "https://www.micro1.ai/blog/micro1-commits-1b-to-enterprise-data-acquisition"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u8",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.micro1.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Expert work",
      "url": "https://www.micro1.ai/experts"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u9",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.micro1.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Robotics recordings",
      "url": "https://www.micro1.ai/experts/everyday-tasks"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-u10",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.micro1.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Robotics delivery workflow",
      "url": "https://www.micro1.ai/robotics"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-audit_u11",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-09-12",
      "publisher": "www.antler.co",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Antler confirms participation in Series A and attributes later round to Forbes",
      "url": "https://www.antler.co/press-releases/antler-elevate-backs-micro1-the-ai-platform-for-human-intelligence-in-its-usd-35-million-series-a-led-by-01a"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-audit_u12",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.micro1.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Current Realm, Cortex and robotics product suite",
      "url": "https://www.micro1.ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-audit_u13",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-09-12",
      "publisher": "www.micro1.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Company Series A announcement",
      "url": "https://www.micro1.ai/series-a"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "micro1",
      "id": "micro1.source.audit-audit_u14",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.micro1.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Founder biography and undated run-rate claim",
      "url": "https://www.micro1.ai/ali-ansari"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc1",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2016-07-26",
      "publisher": "www.ycombinator.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Original founder interview",
      "url": "https://www.ycombinator.com/blog/scale/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc2",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2020-12-01",
      "publisher": "scale.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series D",
      "url": "https://scale.com/blog/series-d"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc3",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2024-05-21",
      "publisher": "scale.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series F",
      "url": "https://scale.com/blog/scale-ai-series-f"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc4",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-06-12",
      "publisher": "scale.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Meta investment",
      "url": "https://scale.com/blog/scale-ai-announces-next-phase-of-company-evolution"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc5",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-07-30",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "CEO succession",
      "url": "https://www.prnewswire.com/news-releases/scale-ai-appoints-francis-desouza-as-ceo-to-lead-next-phase-of-companys-growth-302838437.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc6",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-01-22",
      "publisher": "scale.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "2025 operating update",
      "url": "https://scale.com/blog/scales-next-era-building-for-2026"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc7",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.remotasks.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Contributor legal identity",
      "url": "https://www.remotasks.com/en/legal/privacy-policy"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc8",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-06-13",
      "publisher": "www.marketscreener.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Reuters customer and revenue report",
      "url": "https://www.marketscreener.com/quote/stock/META-PLATFORMS-INC-10547141/news/Exclusive-Google-Scale-AI-s-largest-customer-plans-split-after-Meta-deal-sources-say-50240122/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc9",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2025-06-13",
      "publisher": "apnews.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Meta stake size",
      "url": "https://apnews.com/article/4b55aabf7ea018e38ffdccb66e37cf26"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc10",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2023-05-15",
      "publisher": "outlier.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Outlier operator",
      "url": "https://outlier.ai/legal/data-processing-addendum"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc11",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2021-04-13",
      "publisher": "scale.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series E",
      "url": "https://scale.com/blog/series-e"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc12",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2025-06-11",
      "publisher": "www.axios.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Pre-Meta funding total",
      "url": "https://www.axios.com/newsletters/axios-pro-rata-aeee6cb5-a0f6-439b-9add-1a72744e3bfb"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc13",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "outlier.ai",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Statistics contributor work",
      "url": "https://outlier.ai/experts/statistics"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc14",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.remotasks.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Platform migration",
      "url": "https://www.remotasks.com/en/migration"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc15",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2026-05-14",
      "publisher": "www.forbes.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Post-Meta customer and applications update",
      "url": "https://www.forbes.com/sites/richardnieva/2026/05/14/scale-meta-deal/?streamIndex=0"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc16",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-03-05",
      "publisher": "www.diu.mil",
      "retrieval_status": "checked",
      "source_type": "customer",
      "title": "Thunderforge buyer award confirmation",
      "url": "https://www.diu.mil/latest/dius-thunderforge-project-to-integrate-commercial-ai-powered-decision-making"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc17",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "scale.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Security and operational controls",
      "url": "https://scale.com/security"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-sc18",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "scale.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Evaluation quality and delivery workflow",
      "url": "https://scale.com/evaluation/enterprise"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-audit_sc19",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2018-08-07",
      "publisher": "www.globenewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Company Series B release including historical Series A",
      "url": "https://www.globenewswire.com/news-release/2018/08/07/1548173/0/en/scale-announces-18-million-in-series-b-funding-led-by-index-ventures-with-accel-and-yc-joining-the-round.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-audit_sc20",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2019-08-05",
      "publisher": "scale.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Scale Series C",
      "url": "https://scale.com/blog/series-c"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-audit_sc21",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-06-13",
      "publisher": "www.wsgr.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Transaction counsel confirms $14.35B Meta investment",
      "url": "https://www.wsgr.com/en/insights/wilson-sonsini-advises-scale-ai-on-dollar1435-billion-investment-from-meta.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "scale_ai",
      "id": "scale_ai.source.audit-audit_sc22",
      "notes": "Review status: reopened and reverified 2026-10-12.  Source date label: 2025-07",
      "publisher": "www.sec.gov",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Meta Q2 2025 10-Q: closed non-voting minority investment",
      "url": "https://www.sec.gov/Archives/edgar/data/1326801/000162828025036791/meta-20250630.htm"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t1",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-03-06",
      "publisher": "markets.financialcontent.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Company Business Wire release",
      "url": "https://markets.financialcontent.com/dowtheoryletters/article/bizwire-2025-3-6-turing-gears-up-to-power-next-wave-of-agi-with-111-million-in-series-e"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t2",
      "notes": "Review status: inherited source not reverified in this pass.  Source date label: 2022-06",
      "publisher": "media.zinnov.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Turing/Zinnov profile",
      "url": "https://media.zinnov.com/wp-content/uploads/2022/06/zinnov-turing-intelligent-talent-cloud.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t3",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "published_on": "2024-03-14",
      "publisher": "www.turing.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Legal identity",
      "url": "https://www.turing.com/terms-of-service"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t4",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-02-21",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Series D company announcement",
      "url": "https://www.turing.com/blog/turing-com-is-now-officially-a-unicorn"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t5",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2021-12-20",
      "publisher": "siliconangle.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Original Series D report",
      "url": "https://siliconangle.com/2021/12/20/turing-raises-87m-1-1b-valuation-intelligent-talent-cloud/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t6",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.turing.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "Company and contractor job detail",
      "url": "https://www.turing.com/jobs/remote-machine-learning-engineer"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t7",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "2026 products and hiring",
      "url": "https://www.turing.com/press"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t8",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Named lab relationships",
      "url": "https://www.turing.com/blog/how-frontier-agi-becomes-enterprise-impact"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t9",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2025-02-21",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Historical Series B",
      "url": "https://www.turing.com/blog/turing-announces-32m-in-series-b-led-by-westbridge-capital-and-foundation-capital"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t10",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "sacra.com",
      "retrieval_status": "checked",
      "source_type": "database",
      "title": "Financial estimate",
      "url": "https://sacra.com/c/turing/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t11",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Detailed delivery cases",
      "url": "https://www.turing.com/case-study"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-t12",
      "notes": "Review status: inherited source not reverified in this pass. ",
      "publisher": "www.turing.com",
      "retrieval_status": "unverified",
      "source_type": "company",
      "title": "LLM delivery and safety methodology",
      "url": "https://www.turing.com/services/llm-alignment-and-safety"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-audit_t13",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-04-09",
      "publisher": "www.businesswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Turing Frontier launch",
      "url": "https://www.businesswire.com/news/home/20260409774528/en/Turing-Announces-Turing-Frontier-Connecting-AI-Labs-with-Elite-Domain-Experts"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-audit_t14",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-04-29",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Current coding, data and deployment strategy",
      "url": "https://www.turing.com/blog/data-and-deployment-loop"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-audit_t15",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-05-14",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AWS Pattern Partner announcement with AWS executive quote",
      "url": "https://www.turing.com/blog/turing-selected-as-aws-pattern-partner"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-audit_t16",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-05-11",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Anthropic implementation partnership",
      "url": "https://www.turing.com/blog/advancing-claude-for-healthcare-life-sciences"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "turing",
      "id": "turing.source.audit-audit_t17",
      "notes": "Review status: reopened and reverified 2026-10-12. ",
      "published_on": "2026-04-01",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Delivered STEM tasks and HUMAIN partnership",
      "url": "https://www.turing.com/blog/agi-advance-newsletter-58"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_seed",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2018-07-31",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Labelbox announces $3.9M seed and four founders",
      "url": "https://www.prnewswire.com/news-releases/labelbox-raises-3-9m-in-seed-funding-led-by-kleiner-perkins-to-advance-its-platform-for-adapting-and-training-artificial-intelligence-in-the-enterprise-300688895.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_a",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2019-05-07",
      "publisher": "labelbox.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Labelbox May update confirms $10M Series A",
      "url": "https://labelbox.com/blog/labelbox-may-update/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_a_date",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2019-04-09",
      "publisher": "techstartups.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Contemporaneous Series A announcement report",
      "url": "https://techstartups.com/2019/04/09/labelbox-nabs-10-million-series-led-google-accelerate-industrial-ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_b",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2020-02-04",
      "publisher": "www.marketscreener.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Labelbox closes $25M Series B; syndicated company release",
      "url": "https://www.marketscreener.com/news/latest/Artificial-Intelligence-Startup-Labelbox-Closes-25-Million-in-Series-B-Funding-29937803/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_c",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2021-02-12",
      "publisher": "www.globenewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Labelbox closes $40M Series C",
      "url": "https://www.globenewswire.com/news-release/2021/02/12/2175106/0/en/artificial-intelligence-startup-labelbox-closes-40-million-in-series-c-funding.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_d",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2022-01-06",
      "publisher": "www.globenewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Labelbox $110M Series D and $189M total",
      "url": "https://www.globenewswire.com/news-release/2022/01/06/2362270/0/en/labelbox-raises-110-million-series-d-led-by-softbank-vision-fund-2.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_about",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "labelbox.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Current Labelbox company profile and positioning",
      "url": "https://labelbox.com/company/about/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_alignerr",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "labelbox.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Current Alignerr expert network and workflow",
      "url": "https://labelbox.com/products/alignerr/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_firstround",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "review.firstround.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "First Round founder interview: historical ARR and customer milestones",
      "url": "https://review.firstround.com/labelboxs-path-to-pmf-founders-need-to-be-contrarian-and-right-heres-how/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_walmart",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2022-03-29",
      "publisher": "tech.walmart.com",
      "retrieval_status": "checked",
      "source_type": "customer",
      "title": "Walmart engineering explains Labelbox deployment through Sparkcubate",
      "url": "https://tech.walmart.com/content/walmart-global-tech/en_us/blog/post/sparkcubate-program.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_burberry",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "labelbox.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Burberry case study with named buyer quotes",
      "url": "https://labelbox.com/customers/burberry-customer-story/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "labelbox",
      "id": "labelbox.source.audit-lb_valuation",
      "notes": "Review status: opened and reverified 2026-10-12. Database valuation; no primary financing announcement reviewed states the valuation.",
      "publisher": "www.cbinsights.com",
      "retrieval_status": "checked",
      "source_type": "database",
      "title": "Historical January 2022 valuation database",
      "url": "https://www.cbinsights.com/company/labelbox/financials"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_round",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2025-09-16",
      "publisher": "invisibletech.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Invisible $100M growth funding, $144M total and FY2024 revenue",
      "url": "https://invisibletech.ai/blog/invisible-technologies-raises-100-million"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_letter",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2025-09-16",
      "publisher": "invisibletech.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "CEO financing letter and customer testimonials",
      "url": "https://invisibletech.ai/fundraise"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_about",
      "notes": "Review status: search index reverified 2026-10-12. Current search index exposes the company biography; preserve the co-founder title with historical qualification.",
      "publisher": "www.invisible.co",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Company leadership: Francis founder; Joe co-founder",
      "url": "https://www.invisible.co/about?gad_source=5"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_seed",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2018-10-18",
      "publisher": "news.crunchbase.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Invisible $2.6M seed; corrected investor list",
      "url": "https://news.crunchbase.com/venture/invisible-raises-2-6m-to-help-clients-tap-into-global-productivity/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_seed_company",
      "notes": "Review status: search index reverified 2026-10-12. ",
      "publisher": "fr.linkedin.com",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Company announces $2.6M seed",
      "url": "https://fr.linkedin.com/posts/invisible-technologies-inc-_invisible-raises-26m-in-seed-funding-activity-6466382413667934208-OpJo"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_2019",
      "notes": "Review status: search index reverified 2026-10-12. 2019 $5.2M and date are not independently confirmed by an original financing release.",
      "publisher": "wellfound.com",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Company-profile funding timeline",
      "url": "https://wellfound.com/company/invisible-technologies/funding"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_greycroft",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "www.greycroft.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Greycroft portfolio dates Invisible investment to 2019",
      "url": "https://www.greycroft.com/portfolio/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_forbes",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2025-02-04",
      "publisher": "www.forbes.com.au",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Founder interview on buybacks, debt and financial results",
      "url": "https://www.forbes.com.au/news/entrepreneurs/invisible-technologies-founder-buys-out-vcs-betting-big-on-debt/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_founder_debt",
      "notes": "Review status: search index reverified 2026-10-12.  Source date label: 2025-02",
      "publisher": "www.linkedin.com",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Founder account of debt-funded repurchases and employee ownership",
      "url": "https://www.linkedin.com/posts/francispedraza_this-ai-founders-audacious-plan-to-buy-out-activity-7292719050244194304-ERVg"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_cohere",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "invisibletech.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Cohere expert evaluation case with named buyer interview",
      "url": "https://invisibletech.ai/case-studies/cohere-agentic-enterprise-tasks"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_wecp",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2026-03-10",
      "publisher": "invisibletech.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Invisible agrees to acquire WeCP",
      "url": "https://invisibletech.ai/blog/invisible-acquires-wecp"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_valuation",
      "notes": "Review status: inherited not reverified open failed 2026-10-12. Retained only as a clearly flagged prior-source lead; fresh page open failed.",
      "published_on": "2025-09-17",
      "publisher": "news.bloomberglaw.com",
      "retrieval_status": "unverified",
      "source_type": "independent_reporting",
      "title": "Reported financing valuation above $2B",
      "url": "https://news.bloomberglaw.com/privacy-and-data-security/scale-ai-rival-invisible-technologies-valued-at-over-2-billion"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "invisible",
      "id": "invisible.source.audit-inv_cohere_report",
      "notes": "Review status: opened and checked no vendor confirmation 2026-10-12. No Invisible mention found; this report does not independently confirm the supplier relationship.",
      "published_on": "2025-03-28",
      "publisher": "cohere.com",
      "retrieval_status": "checked",
      "source_type": "customer",
      "title": "Cohere Command A technical report",
      "url": "https://cohere.com/research/papers/command-a-technical-report.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_about",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "toloka.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Toloka company and leadership profile",
      "url": "https://toloka.ai/about"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_invest",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2025-05-06",
      "publisher": "toloka.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Toloka strategic investment led by Bezos Expeditions",
      "url": "https://toloka.ai/blog/toloka-strategic-investment-led-by-bezos-expeditions/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_nebius",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2025-05-07",
      "publisher": "nebius.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Nebius explains retained economic stake and voting change",
      "url": "https://nebius.com/newsroom/nebius-welcomes-bezos-expeditions-as-lead-investor-in-ai-data-business-toloka"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_formd",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2025-05-16",
      "publisher": "www.sec.gov",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Toloka Group Form D: $72M sold, $90M offered",
      "url": "https://www.sec.gov/Archives/edgar/data/2066938/000092963825001946/xslFormDX01/primary_doc.xml"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_2024",
      "notes": "Review status: opened and reverified 2026-10-12.  Source date label: 2025-04",
      "publisher": "www.sec.gov",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Nebius FY2024 audited Form 20-F, Toloka segment",
      "url": "https://www.sec.gov/Archives/edgar/data/1513845/000155837025005991/nbis-20241231x20f.htm"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_2025",
      "notes": "Review status: opened and reverified 2026-10-12. Original SEC URL could not be opened; readable mirror of filed document. Original: https://www.sec.gov/Archives/edgar/data/1513845/000110465926052948/nbis-20251231x20f.htm",
      "published_on": "2026-04-30",
      "publisher": "fintel.io",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Nebius FY2025 audited 20-F, discontinued operations and deconsolidation",
      "url": "https://fintel.io/doc/sec-nebius-group-nv-1513845-20f-2026-april-30-20573-500"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_h1_2026",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2026-08-12",
      "publisher": "www.sec.gov",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Nebius H1 2026 interim statements: Toloka deconsolidation",
      "url": "https://www.sec.gov/Archives/edgar/data/1513845/000110465926094844/nbis-20260812xex99d2.htm"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_shopify",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2026-08-05",
      "publisher": "shopify.engineering",
      "retrieval_status": "checked",
      "source_type": "customer",
      "title": "Shopify explains Toloka experts in daily production learning loop",
      "url": "https://shopify.engineering/sidekicks-continual-learning-loop"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_platform",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2026-01-19",
      "publisher": "toloka.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Toloka new self-service expert-data platform",
      "url": "https://toloka.ai/blog/introducing-the-new-toloka-platform/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_2024pivot",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2024-07-16",
      "publisher": "static.nebius.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Nebius overview: Toloka GenAI transformation",
      "url": "https://static.nebius.com/ir-www/assets/pdf/Nebius%20Group_overview_16-07-2024.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "toloka",
      "id": "toloka.source.audit-tol_q1",
      "notes": "Review status: opened and reverified 2026-10-12.  Source date label: 2025-05",
      "publisher": "www.sec.gov",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Nebius Q1 2025 shareholder letter",
      "url": "https://www.sec.gov/Archives/edgar/data/1513845/000110465925050975/tm2515580d1_ex99-2.htm"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_founders",
      "notes": "Review status: opened and reverified 2026-10-12.  Source date label: 2018-11",
      "publisher": "www.appen.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Appen founder history: Julie founded, Chris later joined",
      "url": "https://www.appen.com/blog/appen-founders-nominated-for-2018-innovation-award"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_about",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "www.appen.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Appen company profile",
      "url": "https://www.appen.com/about-us"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_anacacia",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "www.anacacia.com.au",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Anacacia historical majority investment and exit",
      "url": "https://www.anacacia.com.au/portfolio"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_ipo",
      "notes": "Review status: opened and reverified 2026-10-12.  Prospectus dated December 2014; exact publication day was not established. January 6, 2015 in the ASX URL is the upload date. Offer includes new and existing shares.",
      "publisher": "announcements.asx.com.au",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Appen IPO prospectus · December 2014",
      "url": "https://announcements.asx.com.au/asxpdf/20150106/pdf/42vw3qqgkdtp4w.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_2017",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2017-12-19",
      "publisher": "announcements.asx.com.au",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Appen completion of 2017 share purchase plan",
      "url": "https://announcements.asx.com.au/asxpdf/20171219/pdf/43q951kmrb2lc1.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_2019p",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2019-03-12",
      "publisher": "announcements.asx.com.au",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Appen completes A$285M institutional placement",
      "url": "https://announcements.asx.com.au/asxpdf/20190312/pdf/443dbskkds4p66.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_2019s",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2019-04-08",
      "publisher": "announcements.asx.com.au",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Appen completes A$15M share purchase plan",
      "url": "https://announcements.asx.com.au/asxpdf/20190408/pdf/4444hcvd8t2796.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_2023",
      "notes": "Review status: opened and reverified 2026-10-12.  Source date label: 2024-02",
      "publisher": "www.annualreports.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Appen FY2023 annual report, capital raises and Google termination",
      "url": "https://www.annualreports.com/HostedData/AnnualReportArchive/a/ASX_APX_2023.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_2024",
      "notes": "Review status: opened and reverified 2026-10-12.  Source date label: 2025-02",
      "publisher": "company-announcements.afr.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Appen FY2024 annual report and 2024 financing",
      "url": "https://company-announcements.afr.com/asx/apx/59f5c39b-f3be-11ef-b9a4-9a8239d49a91.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_2025",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2026-02-25",
      "publisher": "announcements.asx.com.au",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Appen FY2025 audited annual report",
      "url": "https://announcements.asx.com.au/asxpdf/20260225/pdf/06wq7806yk1ll4.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_h1_2026",
      "notes": "Review status: opened and reverified 2026-10-12. Document date is August 27; mirror filename is August 26. KPMG review, not full-year audit.",
      "published_on": "2026-08-27",
      "publisher": "cdn.financialreports.eu",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Appen H1 2026 reviewed financial statements / Appendix 4D",
      "url": "https://cdn.financialreports.eu/financialreports/media/filings/64403/2026/RNS/64403_rns_2026-08-26_f02948b4-b58e-4caf-b147-419f335f3abf.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_h1_release",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2026-08-27",
      "publisher": "cdn.financialreports.eu",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Appen H1 2026 results release and FY2026 guidance",
      "url": "https://cdn.financialreports.eu/financialreports/media/filings/64403/2026/RNS/64403_rns_2026-08-26_5433cefd-37e5-4263-a113-737d2d889d88.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_q2_2026",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2026-07-29",
      "publisher": "announcements.asx.com.au",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "Appen Q2 2026 trading update and Appendix 4C",
      "url": "https://announcements.asx.com.au/asxpdf/20260729/pdf/07256cvzfxhdbd.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_cohere",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "www.appen.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Cohere expert fine-tuning case study",
      "url": "https://www.appen.com/case-studies/cohere-fine-tuning-for-enterprise"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_airbus",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2025-07-26",
      "publisher": "kr.appen.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Airbus image labeling case with named buyer quote",
      "url": "https://kr.appen.com/case-studies/airbus_image_data_labeling/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_aws",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "published_on": "2023-11-21",
      "publisher": "www.appen.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Appen selects AWS and announces collaboration",
      "url": "https://www.appen.com/press-release/appen-amazon-aws-partnership"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "appen",
      "id": "appen.source.audit-ap_genai",
      "notes": "Review status: opened and reverified 2026-10-12. ",
      "publisher": "www.appen.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Current Appen generative AI product and services",
      "url": "https://www.appen.com/generative-ai"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-about",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit company and leadership",
      "url": "https://imerit.ai/about-us/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-usc",
      "notes": "Review status: checked. Fall 2019; exact day not given Source date label: 2019",
      "publisher": "magazine.viterbi.usc.edu",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "USC Viterbi: A Home Away from Home",
      "url": "https://magazine.viterbi.usc.edu/fall-2019/features/a-home-away-from-home/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-close",
      "notes": "Review status: checked. ",
      "published_on": "2026-08-03",
      "publisher": "ir.exlservice.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "EXL completes acquisition of iMerit",
      "url": "https://ir.exlservice.com/news-releases/news-release-details/exl-completes-acquisition-imerit-accelerating-enterprise-ai"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-deal",
      "notes": "Review status: checked. ",
      "published_on": "2026-06-24",
      "publisher": "ir.exlservice.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "EXL definitive acquisition announcement",
      "url": "https://ir.exlservice.com/news-releases/news-release-details/exl-acquire-imerit-advancing-its-leadership-enterprise-ai-adding"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-8k",
      "notes": "Review status: checked. ",
      "published_on": "2026-06-24",
      "publisher": "ir.exlservice.com",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "EXL acquisition Form 8-K",
      "url": "https://ir.exlservice.com/static-files/9846fa72-bb29-49fc-8b01-e568975e5bfa"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-2015",
      "notes": "Review status: checked. ",
      "published_on": "2015-10-21",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit announces $3.5m financing",
      "url": "https://www.prnewswire.com/news-releases/imerit-raises-35-million-in-funding-to-empower-6000-underprivileged-youth-to-deliver-in-demand-digital-services-300163582.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-2020",
      "notes": "Review status: checked. ",
      "published_on": "2020-02-18",
      "publisher": "www.globenewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit $20m Series B announcement",
      "url": "https://www.globenewswire.com/news-release/2020/02/18/1986219/0/en/imerit-leads-off-2020-with-new-ai-innovation-initiatives-and-funding.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-2021",
      "notes": "Review status: checked. ",
      "published_on": "2021-04-13",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit FY2020–21 operating update",
      "url": "https://imerit.ai/press/imerit-announces-record-revenue-growth-for-fy-2020-2021/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-bii",
      "notes": "Review status: checked. BII database last-update month. Indexed full text readable in web search; direct open returned an error. Do not treat its Active status as current after the 2026 acquisition. Source date label: 2025-03",
      "publisher": "www.bii.co.uk",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "BII iMerit Investment 01 with related Investment 02",
      "url": "https://www.bii.co.uk/en/our-impact/investment/imerit-inc-investment-01/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-bii-india",
      "notes": "Review status: checked. Official PDF file path is dated January 2023, but publication date is not verified; corroborates rounded $31m BII commitment.",
      "publisher": "assets.bii.co.uk",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "BII Investing for impact in India",
      "url": "https://assets.bii.co.uk/wp-content/uploads/2023/01/06212044/Investing-for-impact-in-India_BII.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-transcript",
      "notes": "Review status: checked. Third-party transcription of named EXL executives; financial figures explicitly preliminary and unaudited.",
      "published_on": "2026-06-24",
      "publisher": "stockanalysis.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "EXL June 24, 2026 M&A call transcript",
      "url": "https://stockanalysis.com/stocks/exls/transcripts/700273-m-a-announcement/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-transcript2",
      "notes": "Review status: checked. ",
      "published_on": "2026-06-24",
      "publisher": "earningscalls.dev",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "EXL acquisition call, second transcript",
      "url": "https://earningscalls.dev/transcripts/exlservice-holdings-inc_exls_earnings_call_transcript_2026-06-24"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-home",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit current homepage",
      "url": "https://imerit.ai/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-ango",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Ango Hub platform",
      "url": "https://imerit.ai/products/ango-workflow-automation-by-imerit/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-reasoning",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Ango Deep Reasoning Lab",
      "url": "https://imerit.ai/products/ango-workflow-automation-by-imerit/deep-reasoning-lab-chain-of-thought-reasoning-for-foundation-model-tuning/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-scholars",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit Scholars",
      "url": "https://imerit.ai/products/scholars/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-news",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit dated product releases index",
      "url": "https://imerit.ai/resources/news/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-carbon-buyer",
      "notes": "Review status: checked. ",
      "publisher": "carbonrobotics.com",
      "retrieval_status": "checked",
      "source_type": "customer",
      "title": "Carbon Robotics partners",
      "url": "https://carbonrobotics.com/partners/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-carbon-case",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Precision Weeding at Scale",
      "url": "https://imerit.ai/resources/case-studies/precision-weeding-at-scale/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-im-contact",
      "notes": "Review status: checked. ",
      "publisher": "imerit.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit solution catalogue",
      "url": "https://imerit.ai/contact-us/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-exl-2025",
      "notes": "Review status: checked. ",
      "published_on": "2026-02-24",
      "publisher": "ir.exlservice.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "EXL FY2025 results",
      "url": "https://ir.exlservice.com/node/23211"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-story",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama founding story",
      "url": "https://www.sama.com/our-story"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-ljf",
      "notes": "Review status: checked. ",
      "publisher": "www.leilajanahfoundation.org",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Leila Janah Foundation history",
      "url": "https://www.leilajanahfoundation.org/about"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-leila",
      "notes": "Review status: checked. ",
      "publisher": "www.leilajanahfoundation.org",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Leila Janah Foundation founder biography",
      "url": "https://www.leilajanahfoundation.org/rememberingleila"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-ted",
      "notes": "Review status: checked.  Source date label: 2009",
      "publisher": "storage.ted.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TED India 2009 Fellows guide: Leila Chirayath Janah",
      "url": "https://storage.ted.com/fellows/tedindia2009fellowsguide.pdf"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-salesforce",
      "notes": "Review status: checked. Year supported by tribute to Janah following January 24, 2020; exact publication day not used. Source date label: 2020",
      "publisher": "salesforceventures.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Salesforce Ventures tribute and investment rationale",
      "url": "https://salesforceventures.com/perspectives/samasource-a-tribute-to-leila-janah-and-why-we-invested/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-ceo",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama names Wendy Gonzalez CEO",
      "url": "https://www.sama.com/blog/meet-our-new-ceo-wendy-gonzalez"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-team",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama current leadership and delivery locations",
      "url": "https://www.sama.com/our-team"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-2019",
      "notes": "Review status: checked. ",
      "published_on": "2019-11-20",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Samasource closes $14.8m Series A",
      "url": "https://www.prnewswire.com/news-releases/samasource-secures-14-8m-series-a-funding-to-further-scale-business-and-ai-capabilities-300961742.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-a-counsel",
      "notes": "Review status: checked. ",
      "published_on": "2019-11-20",
      "publisher": "www.siliconlegal.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Samasource Series A transaction counsel",
      "url": "https://www.siliconlegal.com/sls-client-samasource-raises-14-8mm-round-from-ridge-ventures-and-others/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-2021",
      "notes": "Review status: checked. ",
      "published_on": "2021-11-04",
      "publisher": "www.lacaisse.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "CDPQ leads Sama $70m Series B",
      "url": "https://www.lacaisse.com/en/news/pressreleases/cdpq-leads-us70-million-financing-round-sama-ai-training-data-platform"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-funding-history",
      "notes": "Review status: checked. Article states 2021; exact day not displayed. Source date label: 2021",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama: Getting to Series B",
      "url": "https://www.sama.com/blog/impact-business"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-interview",
      "notes": "Review status: checked. Use actual CEO statements; article has a chronology typo saying Series A followed Series B. Round order taken from original announcements.",
      "published_on": "2024-11-21",
      "publisher": "pulse2.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Wendy Gonzalez interview: funding, ownership, revenue disclosure",
      "url": "https://pulse2.com/sama-profile-wendy-gonzalez-interview/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-home",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama current homepage",
      "url": "https://www.sama.com/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-curate",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama Curate",
      "url": "https://www.sama.com/data-curation-tools-ai-ml-models"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-annotate",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama Annotate",
      "url": "https://www.sama.com/data-annotation-solution"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-validate",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama Validate",
      "url": "https://www.sama.com/managed-service-data-validation-solution"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-genai",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama GenAI and model evaluation",
      "url": "https://www.sama.com/data-annotation-services-for-foundation-models"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-automate",
      "notes": "Review status: checked. Company-issued release distributed by ACCESS Newswire/RNS Reach, not a public-company financial filing.",
      "published_on": "2025-04-03",
      "publisher": "www.lse.co.uk",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama Automate launch",
      "url": "https://www.lse.co.uk/rns/sama-introduces-data-automation-platform-dypp0ifmu1c8ycg.html"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-walmart",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama Walmart search relevance case study",
      "url": "https://www.sama.com/case-studies/high-quality-labels-walmart-search-relevance"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-google",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama Google Project Guideline case study",
      "url": "https://www.sama.com/blog/google-project-guideline"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-cases",
      "notes": "Review status: checked. ",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama customer evidence index",
      "url": "https://www.sama.com/case-studies"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-time",
      "notes": "Review status: checked. ",
      "published_on": "2023-01-18",
      "publisher": "time.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "TIME: OpenAI and Sama safety-data contract",
      "url": "https://time.com/6247678/openai-chatgpt-kenya-workers/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-meta-ap",
      "notes": "Review status: checked. ",
      "published_on": "2026-04-16",
      "publisher": "apnews.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "AP: Meta termination and Sama redundancy notice",
      "url": "https://apnews.com/article/902716b8037bc4063dd1101e2dbd4c3a"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-meta-svd",
      "notes": "Review status: checked. ",
      "published_on": "2026-04-17",
      "publisher": "www.svd.se",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "SvD: Meta confirms ending Sama partnership",
      "url": "https://www.svd.se/a/zOlP6K/meta-halts-ai-training-after-svd-gp-investigation"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "sama",
      "id": "sama.source.audit-sa-estimate",
      "notes": "Review status: checked. Excluded from factual revenue metrics; source explicitly says no management interview and estimate.",
      "published_on": "2026-08-10",
      "publisher": "getlatka.com",
      "retrieval_status": "checked",
      "source_type": "database",
      "title": "Latka estimated Sama revenue",
      "url": "https://getlatka.com/companies/sama.com"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "imerit",
      "id": "imerit.source.audit-c90a76bc07",
      "notes": "Earlier registry status: checked on 2026-10-12. Final audit source sama.source.audit-exl-2025: Review status: checked.",
      "previous_checks": [
        {
          "accessed_on": "2026-10-12",
          "retrieval_status": "checked"
        }
      ],
      "publisher": "ir.exlservice.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Parent company-reported annual financial results",
      "url": "https://ir.exlservice.com/node/23211"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.fy2025",
      "notes": "Review status: checked. ",
      "published_on": "2026-03-05",
      "publisher": "ir.taskus.com",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "TaskUs FY2025 Form 10-K",
      "url": "https://ir.taskus.com/static-files/bfe52a66-744f-4a64-a49f-d32bcd94d4d1"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.q22026",
      "notes": "Review status: checked. ",
      "published_on": "2026-08-05",
      "publisher": "ir.taskus.com",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "TaskUs second-quarter 2026 results",
      "url": "https://ir.taskus.com/news-releases/news-release-details/taskus-announces-fiscal-second-quarter-2026-results"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.q2slides",
      "notes": "Review status: checked. ",
      "published_on": "2026-08-05",
      "publisher": "ir.taskus.com",
      "retrieval_status": "checked",
      "source_type": "filing",
      "title": "TaskUs Q2 2026 investor presentation",
      "url": "https://ir.taskus.com/static-files/70ebd544-0f80-4c46-b19e-aa02099f2f9a"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.fyrelease",
      "notes": "Review status: checked. ",
      "published_on": "2026-03-05",
      "publisher": "ir.taskus.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TaskUs fourth-quarter and full-year 2025 results",
      "url": "https://ir.taskus.com/news-releases/news-release-details/taskus-announces-fiscal-fourth-quarter-and-full-year-2025"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.team",
      "notes": "Review status: checked. ",
      "publisher": "ir.taskus.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TaskUs management team",
      "url": "https://ir.taskus.com/corporate-governance/management-team"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.services",
      "notes": "Review status: checked. ",
      "publisher": "www.taskus.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TaskUs AI and data services",
      "url": "https://www.taskus.com/services/ai-data-services/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.blackstone",
      "notes": "Review status: checked. ",
      "published_on": "2018-08-09",
      "publisher": "www.blackstone.com",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Blackstone signs agreement to invest in TaskUs",
      "url": "https://www.blackstone.com/news/press/blackstone-signs-agreement-to-invest-in-taskus/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.blackstone_amount",
      "notes": "Review status: checked. ",
      "published_on": "2018-08-08",
      "publisher": "techcrunch.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "TaskUs Blackstone investment report",
      "url": "https://techcrunch.com/2018/08/08/ai-training-and-social-network-content-moderation-services-bring-taskus-a-250-million-windfall/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.navegar",
      "notes": "Review status: checked. ",
      "published_on": "2015-06-08",
      "publisher": "labusinessjournal.com",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "TaskUs raises capital to expand outsourcing for startups",
      "url": "https://labusinessjournal.com/technology/taskus-raises-capital-expand-outsourcing-startups/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.navegar_primary",
      "notes": "Review status: checked. ",
      "publisher": "www.linkedin.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TaskUs 15-year anniversary capital history",
      "url": "https://www.linkedin.com/posts/taskus_growingtugetherat15-activity-7110986125556514816-JYXi"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.ipo",
      "notes": "Review status: checked. ",
      "published_on": "2021-06-10",
      "publisher": "ir.taskus.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TaskUs IPO pricing",
      "url": "https://ir.taskus.com/news-releases/news-release-details/taskus-inc-announces-pricing-initial-public-offering"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.failed_private",
      "notes": "Review status: checked. ",
      "published_on": "2025-10-08",
      "publisher": "ir.taskus.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TaskUs stockholders reject proposed take-private transaction",
      "url": "https://ir.taskus.com/news-releases/news-release-details/taskus-inc-announces-results-special-meeting-stockholders-and/"
    },
    {
      "accessed_on": "2026-10-12",
      "company_id": "taskus",
      "id": "taskus.source.partners",
      "notes": "Review status: checked. ",
      "published_on": "2025-04-30",
      "publisher": "www.taskus.com",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "TaskGPT ISO 31700 announcement",
      "url": "https://www.taskus.com/in-the-news/taskgpt-earns-iso-31700-certification-reinforcing-responsible-ai-commitment/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "a-team",
      "id": "a-team.source.oct14-2ed4834592cc",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.a.team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "A.Team: Agentic AI teammates",
      "url": "https://www.a.team/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "a-team",
      "id": "a-team.source.oct14-8b238e25b32a",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.a.team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "A.Team: About",
      "url": "https://www.a.team/about"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "a-team",
      "id": "a-team.source.oct14-8c0cec59cbdb",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.a.team",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "A.Team: Join",
      "url": "https://www.a.team/join"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "a-team",
      "id": "a-team.source.oct14-ccba7b343925",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "published_on": "2022-05-17",
      "publisher": "www.prnewswire.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "A.Team-issued funding announcement",
      "url": "https://www.prnewswire.com/news-releases/ateam-comes-out-of-stealth-with-60m-in-funding-to-rethink-techs-talent-crisis-with-elite-cloud-based-teams-backed-by-a-list-investors-301548530.html"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "aixi",
      "id": "aixi.source.oct14-e0da465d9c33",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.aixi.uk",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AIXI Labs",
      "url": "https://www.aixi.uk/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "aixi",
      "id": "aixi.source.oct14-04e08b249fa3",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.aixi.uk",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AIXI Labs team and legal status",
      "url": "https://www.aixi.uk/team/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "aixi",
      "id": "aixi.source.oct14-79706dcaed36",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.aixi.uk",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AIXI research overview",
      "url": "https://www.aixi.uk/research/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "aixi",
      "id": "aixi.source.oct14-667a04aacd21",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.aixi.uk",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AIXI research fellowship",
      "url": "https://www.aixi.uk/team/opportunities/aixi-labs-fellowship/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "aixi",
      "id": "aixi.source.oct14-af7a68b599cb",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.aixi.uk",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AIXI machine learning research scientist",
      "url": "https://www.aixi.uk/team/opportunities/ml-research-scientist/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "alinia",
      "id": "alinia.source.oct14-e7766bd687b2",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.alinia.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Alinia legal alignment for AI",
      "url": "https://www.alinia.ai/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "alinia",
      "id": "alinia.source.oct14-a671640ee4cc",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "www.alinia.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Alinia founders",
      "url": "https://www.alinia.ai/company"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "alinia",
      "id": "alinia.source.oct14-3216c7f6eecb",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. Officially indexed legacy source; direct fetch was unreliable. Canonical destination verified October 15, 2026; former source URL: https://alinia.ai/alinia-seed-round-7-5-milions/. Historical labels and claim dates remain in their records.",
      "published_on": "2025-12-04",
      "publisher": "alinia.ai",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Alinia seed announcement",
      "url": "https://www.alinia.ai/resources/alinia-seed-round-7-5-milions"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "alinia",
      "id": "alinia.source.oct14-6fe999756684",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "published_on": "2024-06-05",
      "publisher": "www.alinia.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Alinia pre-seed announcement",
      "url": "https://www.alinia.ai/resources/announcing-a-2-4m-in-pre-seed-round"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "apto",
      "id": "apto.source.oct14-49fa95c63c01",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
      "publisher": "apto.co.jp",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "APTO AI training data",
      "url": "https://apto.co.jp/en/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "apto",
      "id": "apto.source.oct14-62780bc97df6",
      "notes": "Primary-source research supplied by the parallel adjacent-organization review on October 14. ",
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      "source_type": "company",
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      "source_type": "company",
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    {
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      "retrieval_status": "checked",
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      "retrieval_status": "checked",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "independent_reporting",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "surgehq.ai",
      "retrieval_status": "checked",
      "source_type": "company",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "independent_reporting",
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      "company_id": "mercor",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "company_id": "mercor",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "www.mercor.com",
      "retrieval_status": "checked",
      "source_type": "company",
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      "accessed_on": "2026-10-14",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
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      "accessed_on": "2026-10-14",
      "company_id": "micro1",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "accessed_on": "2026-10-14",
      "company_id": "turing",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Turing: /frontier-ai",
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      "accessed_on": "2026-10-14",
      "company_id": "turing",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Turing funding announcement",
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      "retrieval_status": "checked",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "company_id": "labelbox",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "invisibletech.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Invisible funding announcement",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
      "url": "https://www.taskus.com/"
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      "company_id": "taskus",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "TaskUs: /our-technology/",
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      "accessed_on": "2026-10-14",
      "company_id": "taskus",
      "id": "taskus.source.oct14-af5dd6eee71b",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
      "url": "https://imerit.ai/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "imerit",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "ir.exlservice.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "EXL acquisition terms",
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      "company_id": "sama",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official website",
      "url": "https://www.sama.com/"
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    {
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      "company_id": "sama",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama: /data-annotation-and-validation-platform",
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    {
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      "company_id": "sama",
      "id": "sama.source.oct14-9a7f5c5af6f3",
      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "www.sama.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sama Series B",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
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      "company_id": "labelbox",
      "id": "labelbox.source.oct14-ca739f019ed4",
      "notes": "Official article by Manu Sharma, published October 14, 2026; directly rechecked October 15. Financing above $100M includes equity and credit. Valuation is explicitly pre-money; component amounts are not disclosed.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Labelbox raises $100M+ Series E",
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    {
      "accessed_on": "2026-10-14",
      "company_id": "micro1",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "published_on": "2026-10-12",
      "publisher": "www.micro1.ai",
      "retrieval_status": "checked",
      "source_type": "company",
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    {
      "accessed_on": "2026-10-14",
      "company_id": "imerit",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
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      "retrieval_status": "checked",
      "source_type": "company",
      "title": "EXL Completes Acquisition of iMerit",
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      "company_id": "turing",
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      "notes": "Reviewed public source in the October 14 research pass. Source and claim dates remain separate; company statements are not independent audits.",
      "publisher": "www.turing.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Turing: /",
      "url": "https://www.turing.com/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-home",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Home",
      "url": "https://www.afterquery.com/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-products",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Products",
      "url": "https://www.afterquery.com/products"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-enterprise",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Enterprise",
      "url": "https://www.afterquery.com/solutions"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-contact",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Contact",
      "url": "https://www.afterquery.com/contact"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-funding",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Funding",
      "url": "https://www.afterquery.com/blog/human-expertise-reimagined"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-yc",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "Y Combinator",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Yc",
      "url": "https://www.ycombinator.com/companies/afterquery"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
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      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "Y Combinator",
      "retrieval_status": "checked",
      "source_type": "investor",
      "title": "Launch",
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    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-yc_launch_social",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Yc Launch Social",
      "url": "https://www.linkedin.com/feed/update/urn%3Ali%3Aactivity%3A7295471742020415489/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-founder_history",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Founder History",
      "url": "https://www.linkedin.com/posts/spencermateega_365-days-ago-we-walked-away-from-850k-to-activity-7413980183763828736-fvyu"
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    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-linkedin",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Linkedin",
      "url": "https://www.linkedin.com/company/afterquery"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-founder_linkedin",
      "notes": "Round 2 reviewed research. Access method: official_search_index",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Founder Linkedin",
      "url": "https://www.linkedin.com/in/spencermateega"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-nvidia_blog",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Nvidia Blog",
      "url": "https://www.afterquery.com/blog/how-afterquery-helped-nvidia-hill-climb-gdpval"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-nvidia_report",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "NVIDIA",
      "retrieval_status": "checked",
      "source_type": "customer",
      "title": "Nvidia Report",
      "url": "https://research.nvidia.com/labs/nemotron/files/NVIDIA-Nemotron-3-Ultra-Technical-Report.pdf"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-terminal",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Terminal",
      "url": "https://www.afterquery.com/blog/how-we-improved-terminal-bench-2-with-tinker-and-harbor"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-legora_blog",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Legora Blog",
      "url": "https://www.afterquery.com/blog/building-a-frontier-legal-evaluation-in-partnership-with-legora"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-legora",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "Legora",
      "retrieval_status": "checked",
      "source_type": "customer",
      "title": "Legora",
      "url": "https://legora.com/bar"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-raine",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Raine",
      "url": "https://www.afterquery.com/blog/solving-the-last-mile-problem-in-partnership-with-the-raine-group"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-motif",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Motif",
      "url": "https://www.afterquery.com/blog/afterquery-celebrates-the-release-of-motif-3"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-financeqa",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "FinanceQA authors / arXiv",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Financeqa",
      "url": "https://arxiv.org/abs/2501.18062"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-financeqa_pdf",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "FinanceQA authors / arXiv",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Financeqa Pdf",
      "url": "https://arxiv.org/pdf/2501.18062"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-spreadsheet",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "SpreadsheetBench authors",
      "retrieval_status": "checked",
      "source_type": "other",
      "title": "Spreadsheet",
      "url": "https://spreadsheetbench.github.io/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-deepswe",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Deepswe",
      "url": "https://www.afterquery.com/blog/improving-qwen38-27b-on-deepswe"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-banking",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Banking",
      "url": "https://www.afterquery.com/blog/improving-qwen35-9b-on-t3-banking"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-office_opd",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Office Opd",
      "url": "https://www.afterquery.com/blog/on-policy-distillation-gdpval"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-research",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research",
      "url": "https://www.afterquery.com/research"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-careers",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Careers",
      "url": "https://www.afterquery.com/careers"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-experts",
      "notes": "Round 2 reviewed research. Access method: public_web. Direct expert-platform access was blocked; indexed terms do not establish current intake.",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Experts",
      "url": "https://experts.afterquery.com/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-world_models",
      "notes": "Round 2 reviewed research. Access method: official_search_index. Direct expert-platform access was blocked; indexed terms do not establish current intake.",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "World Models",
      "url": "https://experts.afterquery.com/apply/world-models-ml-experts"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-college_swe",
      "notes": "Round 2 reviewed research. Access method: official_search_index. Direct expert-platform access was blocked; indexed terms do not establish current intake.",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "College Swe",
      "url": "https://experts.afterquery.com/apply/collegeswe"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-expert_writer",
      "notes": "Round 2 reviewed research. Access method: official_search_index. Direct expert-platform access was blocked; indexed terms do not establish current intake.",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Expert Writer",
      "url": "https://experts.afterquery.com/apply/content-writing"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-fullstack",
      "notes": "Round 2 reviewed research. Access method: official_search_index. Direct expert-platform access was blocked; indexed terms do not establish current intake.",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Fullstack",
      "url": "https://experts.afterquery.com/apply/swe-puzzle"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-esl",
      "notes": "Round 2 reviewed research. Access method: official_search_index. Direct expert-platform access was blocked; indexed terms do not establish current intake.",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Esl",
      "url": "https://experts.afterquery.com/apply/esl-teacher-expert"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-fellow",
      "notes": "Round 2 reviewed research. Access method: cloud_browser_rendered",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Fellow",
      "url": "https://jobs.ashbyhq.com/AfterQuery/b1794d2c-fdbf-4165-a244-9e3ccc9cc800"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-writer",
      "notes": "Round 2 reviewed research. Access method: cloud_browser_rendered",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Writer",
      "url": "https://jobs.ashbyhq.com/AfterQuery/6f90701a-f9b5-4599-a288-470fcd200640"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-rl_engineer",
      "notes": "Round 2 reviewed research. Access method: cloud_browser_rendered",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Rl Engineer",
      "url": "https://jobs.ashbyhq.com/AfterQuery/96bad96c-d7ad-4dca-9f9d-a8ae3e6f2794"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-post_training",
      "notes": "Round 2 reviewed research. Access method: cloud_browser_rendered",
      "publisher": "AfterQuery",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Post Training",
      "url": "https://jobs.ashbyhq.com/AfterQuery/41a7fe68-6892-4d98-bb0e-857d63bd721d"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-privacy_engineer",
      "notes": "Round 2 reviewed research. Access method: official_search_index",
      "publisher": "AfterQuery",
      "retrieval_status": "summary_only",
      "source_type": "company",
      "title": "Privacy Engineer",
      "url": "https://jobs.ashbyhq.com/afterquery/a06f0b5f-63f6-4e33-a195-e2f5d5f6e1b1/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-forbes_september",
      "notes": "Round 2 reviewed research. Access method: public_web",
      "publisher": "Forbes",
      "retrieval_status": "checked",
      "source_type": "independent_reporting",
      "title": "Forbes September",
      "url": "https://www.forbes.com/sites/annatong/2026/09/01/afterquery-becomes-ycs-fastest-unicorn-at-32-billion/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "mercor",
      "id": "mercor.source.round2-home",
      "notes": "Direct official homepage read on October 14; no performance numbers or customer payments inferred.",
      "publisher": "Mercor",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official current offerings",
      "url": "https://www.mercor.com/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "labelbox",
      "id": "labelbox.source.round2-home",
      "notes": "Direct official homepage read on October 14; no performance numbers or customer payments inferred.",
      "publisher": "Labelbox",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Official current offerings",
      "url": "https://labelbox.com/"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-6f90701a-f9b5-4599-a288-470fcd200640",
      "notes": "Parent read-only browser verification at 2026-10-14T19:44:02.805Z. Technical Content Writer (Contract): application rendered with Name, Email, Location, LinkedIn, Resume, authorization/sponsorship questions and Submit Application. No data entered or submitted. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Technical Content Writer (Contract) — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/6f90701a-f9b5-4599-a288-470fcd200640/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-b1794d2c-fdbf-4165-a244-9e3ccc9cc800",
      "notes": "Parent read-only browser verification at 2026-10-14T19:44:33.358Z. Research Fellow: application rendered with Name, Email, Location, LinkedIn, Resume/CV, research-proposal upload, work links, work-authorization/sponsorship questions and Submit Application. No data entered or submitted. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research Fellow — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/b1794d2c-fdbf-4165-a244-9e3ccc9cc800/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-f9055979-9c2d-4b5d-a0ec-f248205b1d16",
      "notes": "Parent read-only browser verification at 2026-10-14T19:44:50.712Z. 10 inputs and a visible Submit Application control rendered for Software Engineer - Platform/Applied AI. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Software Engineer - Platform/Applied AI — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/f9055979-9c2d-4b5d-a0ec-f248205b1d16/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-83ca470d-b1f7-41d6-935f-c1f2b8243e4b",
      "notes": "Parent read-only browser verification at 2026-10-14T19:44:51.507Z. 10 inputs and a visible Submit Application control rendered for Software Engineering Intern. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Software Engineering Intern — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/83ca470d-b1f7-41d6-935f-c1f2b8243e4b/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-c33f01ac-783a-4ab3-9efe-d29a060c4524",
      "notes": "Parent read-only browser verification at 2026-10-14T19:44:52.316Z. 10 inputs and a visible Submit Application control rendered for Software Engineer - Platform Infrastructure. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Software Engineer - Platform Infrastructure — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/c33f01ac-783a-4ab3-9efe-d29a060c4524/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-99afbbe0-5ad1-4f25-a00a-049f14428ac6",
      "notes": "Parent read-only browser verification at 2026-10-14T19:44:53.002Z. 10 inputs and a visible Submit Application control rendered for Senior Software Engineer - Security/Infrastructure. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Senior Software Engineer - Security/Infrastructure — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/99afbbe0-5ad1-4f25-a00a-049f14428ac6/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-96bad96c-d7ad-4dca-9f9d-a8ae3e6f2794",
      "notes": "Parent read-only browser verification at 2026-10-14T19:44:53.667Z. 10 inputs and a visible Submit Application control rendered for Software Engineer - RL Environments. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Software Engineer - RL Environments — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/96bad96c-d7ad-4dca-9f9d-a8ae3e6f2794/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-a06f0b5f-63f6-4e33-a195-e2f5d5f6e1b1",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:10.831Z. 10 inputs and a visible Submit Application control rendered for Machine Learning Engineer, Data Privacy & Anonymization. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Machine Learning Engineer, Data Privacy & Anonymization — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/a06f0b5f-63f6-4e33-a195-e2f5d5f6e1b1/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-7df65be5-5338-4d54-bc0a-ac550633618b",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:11.613Z. 10 inputs and a visible Submit Application control rendered for Software Engineer - Marketplace. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Software Engineer - Marketplace — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/7df65be5-5338-4d54-bc0a-ac550633618b/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-3e8161e3-52f1-403d-8742-a687fe1c1df8",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:12.412Z. 10 inputs and a visible Submit Application control rendered for Product Manager. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Product Manager — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/3e8161e3-52f1-403d-8742-a687fe1c1df8/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-cddded26-a2ce-4840-a8d8-17b1ac0e3831",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:13.322Z. 10 inputs and a visible Submit Application control rendered for Growth Associate. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Growth Associate — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/cddded26-a2ce-4840-a8d8-17b1ac0e3831/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-01049819-8f86-414b-9573-4f9a2bc987f5",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:13.995Z. 10 inputs and a visible Submit Application control rendered for Head of Growth. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Head of Growth — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/01049819-8f86-414b-9573-4f9a2bc987f5/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-30b3dddf-9804-4e80-8fc6-2e2b2a511ca7",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:15.314Z. 10 inputs and a visible Submit Application control rendered for Business Operations Generalist. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Business Operations Generalist — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/30b3dddf-9804-4e80-8fc6-2e2b2a511ca7/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-2ba013e1-d254-4436-afd7-19d0b451424f",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:15.956Z. 10 inputs and a visible Submit Application control rendered for People Programs Lead. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "People Programs Lead — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/2ba013e1-d254-4436-afd7-19d0b451424f/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-433457a8-2b1c-440c-89b9-9f5109d3c143",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:16.672Z. 10 inputs and a visible Submit Application control rendered for Technical Recruiter. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Technical Recruiter — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/433457a8-2b1c-440c-89b9-9f5109d3c143/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-0ccdb8e8-3a8f-4757-85c8-fb02b762b48b",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:17.564Z. 10 inputs and a visible Submit Application control rendered for Corporate Counsel. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Corporate Counsel — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/0ccdb8e8-3a8f-4757-85c8-fb02b762b48b/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-3c2892b3-19db-47be-bf30-1a6201985501",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:18.588Z. 10 inputs and a visible Submit Application control rendered for Recruiter. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Recruiter — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/3c2892b3-19db-47be-bf30-1a6201985501/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-c2a727df-cac9-4e56-8531-18d1e94dec74",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:19.288Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Lead. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/c2a727df-cac9-4e56-8531-18d1e94dec74/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-77022ff0-8e15-46e2-b94f-905d31ca1e8c",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:20.179Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Lead - Coding. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead - Coding — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/77022ff0-8e15-46e2-b94f-905d31ca1e8c/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-9bcf6c52-0906-485a-8b8d-95db564520d9",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:20.993Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Associate - Coding. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Associate - Coding — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/9bcf6c52-0906-485a-8b8d-95db564520d9/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-9e817329-5627-4595-b0f9-a7361955c02f",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:21.608Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Lead - Healthcare. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead - Healthcare — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/9e817329-5627-4595-b0f9-a7361955c02f/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-6e284af0-9eb3-49de-b92a-09d7bdc8d707",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:22.333Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Lead - Engineering. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead - Engineering — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/6e284af0-9eb3-49de-b92a-09d7bdc8d707/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-8041b75b-aeda-4363-be56-87ecabef682b",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:32.446Z. 10 inputs and a visible Submit Application control rendered for Data Acquisition Lead. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Data Acquisition Lead — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/8041b75b-aeda-4363-be56-87ecabef682b/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-4acfc5fd-bbd1-4edd-8506-aeec6a1cc94a",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:33.223Z. 10 inputs and a visible Submit Application control rendered for Quality Control Lead. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Quality Control Lead — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/4acfc5fd-bbd1-4edd-8506-aeec6a1cc94a/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-b15d8616-e4fc-4fc7-8e34-8d8afb9188a7",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:34.200Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Lead - Consulting. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead - Consulting — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/b15d8616-e4fc-4fc7-8e34-8d8afb9188a7/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-0d5998fb-652e-4105-a159-22dc2e01f059",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:34.973Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Lead - Legal. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead - Legal — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/0d5998fb-652e-4105-a159-22dc2e01f059/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-6ba4e31f-7df6-4109-992a-0c40fba806d8",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:35.650Z. 10 inputs and a visible Submit Application control rendered for Strategic Projects Lead - AI Safety. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead - AI Safety — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/6ba4e31f-7df6-4109-992a-0c40fba806d8/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-9f549938-e137-4b8c-8f29-6760ca938a7c",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:36.360Z. 9 inputs and a visible Submit Application control rendered for Strategic Projects Lead - STEM. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Strategic Projects Lead - STEM — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/9f549938-e137-4b8c-8f29-6760ca938a7c/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-00cd591f-6894-4259-83b6-36c999351dde",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:37.088Z. 10 inputs and a visible Submit Application control rendered for AI/ML Research Intern. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AI/ML Research Intern — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/00cd591f-6894-4259-83b6-36c999351dde/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-41a7fe68-6892-4d98-bb0e-857d63bd721d",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:37.908Z. 10 inputs and a visible Submit Application control rendered for Research Scientist - Post Training. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research Scientist - Post Training — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/41a7fe68-6892-4d98-bb0e-857d63bd721d/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-68053d93-6d15-4b4a-8a04-65aa5646feb2",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:38.610Z. 12 inputs and a visible Submit Application control rendered for Research Scholar. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research Scholar — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/68053d93-6d15-4b4a-8a04-65aa5646feb2/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-ae665a77-b88d-418e-941a-6c3da870f052",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:39.458Z. 10 inputs and a visible Submit Application control rendered for Research Engineer. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research Engineer — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/ae665a77-b88d-418e-941a-6c3da870f052/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-7f03dc4a-748f-4611-ac21-ee02e0ded837",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:40.128Z. 10 inputs and a visible Submit Application control rendered for Research Technical Program Manager. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research Technical Program Manager — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/7f03dc4a-748f-4611-ac21-ee02e0ded837/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-a565ac3b-8cb6-4145-8d09-1e008203a457",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:40.888Z. 10 inputs and a visible Submit Application control rendered for Research Scientist – Frontier Evaluations. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research Scientist – Frontier Evaluations — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/a565ac3b-8cb6-4145-8d09-1e008203a457/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-a3b974a9-e5ca-4850-aed6-e80daea1d3ad",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:41.617Z. 10 inputs and a visible Submit Application control rendered for Research Program Manager. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Research Program Manager — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/a3b974a9-e5ca-4850-aed6-e80daea1d3ad/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-23922db4-3611-4d5f-ab57-15413e5b25ee",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:42.345Z. 10 inputs and a visible Submit Application control rendered for Marketing Lead. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Marketing Lead — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/23922db4-3611-4d5f-ab57-15413e5b25ee/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-1e712fda-1c31-475b-86b3-62c3684e455c",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:43.165Z. 10 inputs and a visible Submit Application control rendered for GTM Operations Lead. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "GTM Operations Lead — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/1e712fda-1c31-475b-86b3-62c3684e455c/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-79185014-f08f-4520-923f-e6bb67d31973",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:43.941Z. 10 inputs and a visible Submit Application control rendered for Engagement Manager. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Engagement Manager — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/79185014-f08f-4520-923f-e6bb67d31973/application"
    },
    {
      "accessed_on": "2026-10-14",
      "company_id": "afterquery",
      "id": "afterquery.source.round2-form-d1236ef8-0030-4cbf-bbec-052c6eed971f",
      "notes": "Parent read-only browser verification at 2026-10-14T19:45:44.621Z. 10 inputs and a visible Submit Application control rendered for Sales Operations Associate. No application submitted.",
      "publisher": "AfterQuery via Ashby",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Sales Operations Associate — public application form",
      "url": "https://jobs.ashbyhq.com/AfterQuery/d1236ef8-0030-4cbf-bbec-052c6eed971f/application"
    },
    {
      "accessed_on": "2026-10-15",
      "company_id": "rws_trainai",
      "id": "rws_trainai.source.oct15-work-polaris-asr",
      "notes": "The exact portal displayed zero opportunities. The separate general RWS careers board does not establish availability of this role. Review uses standard public content retrieval, not an origin HTTP status or successful application.",
      "publisher": "RWS",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Polaris ASR Data Collection · October 15 source review",
      "url": "https://app.tai.rws.com/opportunities"
    },
    {
      "accessed_on": "2026-10-15",
      "company_id": "prolific",
      "id": "prolific.source.oct15-work-expert-network",
      "notes": "Use expert or participant intake for work. The software-engineering page is buyer-facing. Expert and participant waitlists can apply. Review uses standard public content retrieval, not an origin HTTP status or successful application.",
      "publisher": "Prolific",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Expert Network · October 15 source review",
      "url": "https://www.prolific.com/expert-network"
    },
    {
      "accessed_on": "2026-10-15",
      "company_id": "scale_ai",
      "id": "scale_ai.source.oct15-work-outlier-statistics",
      "notes": "Official public page directly read October15. Up to USD150/hour; eight listed locations; Master's badge versus PhD ideal qualification. This is content verification, not an application or current-assignment test. Review uses standard public content retrieval, not an origin HTTP status or successful application.",
      "publisher": "outlier.ai",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Outlier statistics expert · October 15 source review",
      "url": "https://outlier.ai/experts/statistics"
    },
    {
      "accessed_on": "2026-10-15",
      "company_id": "ooak",
      "id": "ooak.source.oct15-work-data-quality-specialist",
      "notes": "Paris hybrid listing gives 6+ years in header and4+ in body. Equity wording differs; the separate salary range is retained. Review uses standard public content retrieval, not an origin HTTP status or successful application.",
      "publisher": "Ooak Data via Y Combinator",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "Data Quality Specialist · October 15 source review",
      "url": "https://www.ycombinator.com/companies/ooak-data/jobs/Gr7Gc1x-data-quality-specialist"
    },
    {
      "accessed_on": "2026-10-15",
      "company_id": "handshake_ai",
      "id": "handshake_ai.source.oct15-work-ai-program",
      "notes": "Company page requires US-based applicants with work authorization; STEM OPT unsupported. No current-project, individual-acceptance or numeric-rate verification. Review uses standard public content retrieval, not an origin HTTP status or successful application.",
      "publisher": "joinhandshake.com",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "AI training program · October 15 source review",
      "url": "https://joinhandshake.com/ai/"
    },
    {
      "accessed_on": "2026-10-15",
      "company_id": "imerit",
      "id": "imerit.source.oct15-work-expert-network",
      "notes": "June2025 dates on Scholars Immediate Projects entries do not establish October2026 openings or application acceptance. Review uses standard public content retrieval, not an origin HTTP status or successful application.",
      "publisher": "iMerit / EXL",
      "retrieval_status": "checked",
      "source_type": "company",
      "title": "iMerit Scholars expert route · October 15 source review",
      "url": "https://join-scholars.imerit.net/"
    }
  ]
}