{ "version": "1.0.0", "dashboard_curated_on": "2026-10-23", "source_dataset_version": "2.5.0", "source_dataset_reviewed_on": "2026-10-15", "universe_count": 39, "north_star": { "label": "Gross profit from repeat customers", "definition": "Revenue from returning paying customers, less the direct cost of delivering their work, measured over a consistent period.", "why": "It combines repeat demand with the value the company keeps after paying for delivery. Gross billings, funding and registrations can rise while the underlying business weakens.", "publicly_comparable": false, "limitation": "The reviewed sources do not disclose a comparable repeat-customer gross-profit series across this universe. No health score is assigned; the five signals and their gaps are shown instead." }, "signals": [ { "id": "revenue", "label": "Revenue & growth", "question": "Is paid demand growing?", "ideal_measure": "Same-scope recognized revenue and year-over-year growth over matching periods.", "interpretation": "Revenue measures customer spending; growth reveals momentum. Gross and net recognition must be separated.", "limitations": "Run-rate snapshots, full-year results, partial years, forecasts and parent/segment results are separate cohorts." }, { "id": "profit", "label": "Profit & margins", "question": "Does the company keep money after delivery?", "ideal_measure": "Gross profit and gross margin; confirm with statutory profit and cash conversion.", "interpretation": "Revenue can grow without profitable unit economics. A positive adjusted EBITDA figure can coexist with a statutory loss.", "limitations": "Gross margin, statutory net margin, pre-tax profit and adjusted EBITDA have different definitions and are not ranked together." }, { "id": "customers", "label": "Customer durability", "question": "Do customers return, and how concentrated is demand?", "ideal_measure": "Net revenue retention, repeat-customer share and largest/top-five revenue concentration.", "interpretation": "Expansion and repeat spend are stronger evidence than a logo wall. Concentration exposes dependence on a few buyers.", "limitations": "Customer counts are explicitly labelled reach proxies. Named research partners, platform signups and unknown paid-status logos are not paying-customer counts." }, { "id": "delivery", "label": "Paid delivery", "question": "Is the expert supply actually doing paid work?", "ideal_measure": "Monthly paid active experts, accepted delivery hours/tasks, payout volume and utilization.", "interpretation": "Paid throughput is closer to productive supply than a registered expert network.", "limitations": "Daily snapshots, lifetime payouts and registered networks stay separate. No comparable monthly active paid-expert count is established in the reviewed records." }, { "id": "cash", "label": "Cash & resilience", "question": "Can the business fund its next stage?", "ideal_measure": "Operating/free cash flow and months of runway from unrestricted cash divided by a defensible forward cash-burn estimate.", "interpretation": "A growing business still needs liquidity. Employee counts describe delivery or cost capacity, not business health on their own.", "limitations": "Funding raised is not cash on hand. Net losses are not cash burn. Cash, net debt and company/team snapshots are separate context and do not establish runway." } ], "methodology": { "selection": "Explicitly curated supported canonical claims/metrics only; superseded, unverified and contested claims are excluded. Forecasts and undated recruiting financial boasts are excluded from numeric comparisons.", "cohorts": [ "Match period.type, period.year, currency, scope and accounting_basis before comparing revenue levels or calculating growth.", "Annualized revenue is a dated pace, not recognized annual revenue or subscription ARR.", "Whole-company, parent, AI Services and other-segment observations remain labelled separately.", "Qualifiers are retained: greater_than/at_least are lower bounds, nearly is not an exact value, approximate remains approximate.", "Missing disclosure is not zero and is not evidence that a business is unhealthy. Nonprofit research entities are not commercial vendors." ], "calculations": "Calculated observations retain formula, input observation IDs and original evidence. No interpolated revenue series, invented active-worker counts or undisclosed-margin estimates are presented as facts.", "estimates": "No new financial estimate is invented for missing data. A defensible future estimate must carry a range, explicit assumptions, date, scope and source inputs, and be switchable independently from reported observations.", "freshness": "Dashboard curation on 23 October 2026 reuses the canonical source review compiled 15 October 2026. Curation date is not a new observation date or a claim that all linked pages were re-fetched." }, "source_checks": { "checked_on": "2026-10-23", "status": "refresh_attempted_network_denied", "notes": "Fresh public-source retrieval attempts for the TaskUs FY2025 results, RWS H1 FY2026 statement and Appen H1 2026 statement returned HTTP 403 in this session. Existing reviewed canonical evidence is preserved; no fresh content verification is claimed." }, "observations": [ { "id": "appen.metric.major-financial_metrics-0", "company_id": "appen", "signal": "revenue", "measure": "period_revenue", "label": "Revenue", "value": 273000000, "unit": "currency", "qualifier": "exact", "as_of": "FY2023", "period": { "type": "annual", "label": "FY2023", "year": 2023, "start": "2023-01-01", "end": "2023-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-financial_metrics-0-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-0" ], "source_ids": [ "appen.source.audit-ap_2023" ], "basis": "Revenue: 273,000,000 USD. Period: FY2023.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue: 273,000,000 USD. Period: FY2023.", "evidence_assurance": "Annual report (ASX)", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2023 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2023 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2023|2023-12-31|USD|company|unspecified" }, { "id": "appen.metric.major-financial_metrics-1", "company_id": "appen", "signal": "revenue", "measure": "period_revenue", "label": "Revenue", "value": 234300000, "unit": "currency", "qualifier": "exact", "as_of": "FY2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-financial_metrics-1-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-1" ], "source_ids": [ "appen.source.audit-ap_2024", "appen.source.audit-ap_2025" ], "basis": "Revenue: 234,300,000 USD. Period: FY2024.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue: 234,300,000 USD. Period: FY2024.", "evidence_assurance": "Annual reports (ASX)", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2024|2024-12-31|USD|company|unspecified" }, { "id": "appen.metric.major-financial_metrics-2", "company_id": "appen", "signal": "revenue", "measure": "period_revenue", "label": "$230.8M FY2025 operating revenue", "value": 230800000, "unit": "currency", "qualifier": "exact", "as_of": "FY2025", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "appen.claim.oct14-major-financial-0" ], "metric_ids": [ "appen.metric.major-financial_metrics-2" ], "source_ids": [ "appen.source.oct14-eeca86cfae44" ], "basis": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "$230.8M FY2025 operating revenue.", "evidence_assurance": "Annual report", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2025 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2025 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2025|2025-12-31|USD|company|unspecified" }, { "id": "appen.metric.major-financial_metrics-6", "company_id": "appen", "signal": "revenue", "measure": "period_revenue", "label": "Revenue from contracts with customers", "value": 119915000, "unit": "currency", "qualifier": "exact", "as_of": "H1 2026 (January–June)", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-financial_metrics-6-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-6" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Revenue and other income of $120.776M is a different line.", "limitations": "Revenue and other income of $120.776M is a different line.", "original_text": "Revenue from contracts with customers: 119,915,000 USD. Period: H1 2026 (January–June).", "evidence_assurance": "Reviewed public company interim", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "H1 2026 · USD · Whole company · Gross/net undisclosed", "cohort_label": "H1 2026 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|half_year|2026|2026-06-30|USD|company|unspecified" }, { "id": "taskus.metric.expansion-0", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "$1.183547B total service revenue", "value": 1183547000, "unit": "currency", "qualifier": "exact", "as_of": "FY ended 2025-12-31", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.oct14-major-financial-1" ], "metric_ids": [ "taskus.metric.expansion-0" ], "source_ids": [ "taskus.source.oct14-af5dd6eee71b" ], "basis": "US GAAP revenue for the TaskUs consolidated group.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "$1.183547B total service revenue.", "evidence_assurance": "Annual report (Form 10-K)", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "FY2025 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2025 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2025|2025-12-31|USD|company|unspecified" }, { "id": "taskus.metric.expansion-1", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "Annual revenue", "value": 994985000, "unit": "currency", "qualifier": "exact", "as_of": "FY ended 2024-12-31", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-1-metric" ], "metric_ids": [ "taskus.metric.expansion-1" ], "source_ids": [ "taskus.source.fy2025" ], "basis": "Annual revenue: 994,985,000 USD. FY ended 2024-12-31.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Annual revenue: 994,985,000 USD. FY ended 2024-12-31.", "evidence_assurance": "Annual report (Form 10-K)", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2024|2024-12-31|USD|company|unspecified" }, { "id": "taskus.metric.expansion-2", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "$214.218M AI Services revenue", "value": 214218000, "unit": "currency", "qualifier": "exact", "as_of": "FY ended 2025-12-31", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.oct14-major-financial-0" ], "metric_ids": [ "taskus.metric.expansion-2" ], "source_ids": [ "taskus.source.oct14-af5dd6eee71b" ], "basis": "US GAAP revenue disaggregation for the AI Services service line.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "$214.218M AI Services revenue.", "evidence_assurance": "Annual report (Form 10-K)", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "FY2025 · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "FY2025 · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2025|2025-12-31|USD|ai_data|unspecified" }, { "id": "taskus.metric.expansion-3", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "Annual revenue", "value": 135107000, "unit": "currency", "qualifier": "exact", "as_of": "FY ended 2024-12-31", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-3-metric" ], "metric_ids": [ "taskus.metric.expansion-3" ], "source_ids": [ "taskus.source.fy2025" ], "basis": "Annual revenue: 135,107,000 USD. FY ended 2024-12-31.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Annual revenue: 135,107,000 USD. FY ended 2024-12-31.", "evidence_assurance": "Annual report (Form 10-K)", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "FY2024 · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "FY2024 · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2024|2024-12-31|USD|ai_data|unspecified" }, { "id": "taskus.metric.expansion-4", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "Annual revenue", "value": 131680000, "unit": "currency", "qualifier": "exact", "as_of": "FY ended 2023-12-31", "period": { "type": "annual", "label": "FY2023", "year": 2023, "start": "2023-01-01", "end": "2023-12-31" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-4-metric" ], "metric_ids": [ "taskus.metric.expansion-4" ], "source_ids": [ "taskus.source.fy2025" ], "basis": "Annual revenue: 131,680,000 USD. FY ended 2023-12-31.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Annual revenue: 131,680,000 USD. FY ended 2023-12-31.", "evidence_assurance": "Annual report (Form 10-K)", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "FY2023 · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "FY2023 · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2023|2023-12-31|USD|ai_data|unspecified" }, { "id": "taskus.metric.expansion-8", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "Half-year revenue", "value": 128044000, "unit": "currency", "qualifier": "exact", "as_of": "six months ended 2026-06-30", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-8-metric" ], "metric_ids": [ "taskus.metric.expansion-8" ], "source_ids": [ "taskus.source.q2slides" ], "basis": "Half-year revenue: 128,044,000 USD. Six months ended 2026-06-30.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Half-year revenue: 128,044,000 USD. Six months ended 2026-06-30.", "evidence_assurance": "Issuer-reported; unaudited investor presentation", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "H1 2026 · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "H1 2026 · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "period_revenue|half_year|2026|2026-06-30|USD|ai_data|unspecified" }, { "id": "taskus.metric.expansion-9", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "Half-year revenue", "value": 98023000, "unit": "currency", "qualifier": "exact", "as_of": "six months ended 2025-06-30", "period": { "type": "half_year", "label": "H1 2025", "year": 2025, "start": "2025-01-01", "end": "2025-06-30" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-9-metric" ], "metric_ids": [ "taskus.metric.expansion-9" ], "source_ids": [ "taskus.source.q2slides" ], "basis": "Half-year revenue: 98,023,000 USD. Six months ended 2025-06-30.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Half-year revenue: 98,023,000 USD. Six months ended 2025-06-30.", "evidence_assurance": "Issuer-reported; unaudited investor presentation", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "H1 2025 · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "H1 2025 · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "period_revenue|half_year|2025|2025-06-30|USD|ai_data|unspecified" }, { "id": "taskus.metric.expansion-10", "company_id": "taskus", "signal": "revenue", "measure": "period_revenue", "label": "Trailing twelve-month revenue", "value": 244239000, "unit": "currency", "qualifier": "exact", "as_of": "twelve months ended 2026-06-30", "period": { "type": "trailing_year", "label": "TTM to 30 Jun 2026", "year": 2026, "start": "2025-07-01", "end": "2026-06-30" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-10-metric" ], "metric_ids": [ "taskus.metric.expansion-10" ], "source_ids": [ "taskus.source.q2slides" ], "basis": "Trailing twelve-month revenue: 244,239,000 USD. Twelve months ended 2026-06-30.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Trailing twelve-month revenue: 244,239,000 USD. Twelve months ended 2026-06-30.", "evidence_assurance": "Issuer-reported; unaudited investor presentation", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "TTM to 30 Jun 2026 · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "TTM to 30 Jun 2026 · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "period_revenue|trailing_year|2026|2026-06-30|USD|ai_data|unspecified" }, { "id": "scale_ai.metric.major-growth_metrics-0", "company_id": "scale_ai", "signal": "revenue", "measure": "period_revenue", "label": "$870M reported FY2024 revenue", "value": 870000000, "unit": "currency", "qualifier": "exact", "as_of": "FY2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "scale_ai.claim.oct14-major-financial-2" ], "metric_ids": [ "scale_ai.metric.major-growth_metrics-0" ], "source_ids": [ "scale_ai.source.oct14-891cd0d871ee" ], "basis": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "$870M reported FY2024 revenue.", "evidence_assurance": "Reuters-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2024|2024-12-31|USD|company|unspecified" }, { "id": "surge_ai.metric.oct14-major-financial-0", "company_id": "surge_ai", "signal": "revenue", "measure": "period_revenue", "label": ">$1B reported FY2024 revenue", "value": 1000000000, "unit": "currency", "qualifier": "greater_than", "as_of": "FY2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "surge_ai.claim.oct14-major-financial-0" ], "metric_ids": [ "surge_ai.metric.oct14-major-financial-0" ], "source_ids": [ "surge_ai.source.oct14-891cd0d871ee" ], "basis": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": ">$1B reported FY2024 revenue.", "evidence_assurance": "Reuters-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2024|2024-12-31|USD|company|unspecified" }, { "id": "invisible.metric.major-financial_metrics-0", "company_id": "invisible", "signal": "revenue", "measure": "period_revenue", "label": "$134M FY2024 revenue", "value": 134000000, "unit": "currency", "qualifier": "exact", "as_of": "FY2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "invisible.claim.oct14-major-financial-1" ], "metric_ids": [ "invisible.metric.major-financial_metrics-0" ], "source_ids": [ "invisible.source.oct14-53440700860b" ], "basis": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "$134M FY2024 revenue.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2024 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2024|2024-12-31|USD|company|unspecified" }, { "id": "invisible.metric.major-financial_metrics-1", "company_id": "invisible", "signal": "revenue", "measure": "period_revenue", "label": "Revenue", "value": 3000000, "unit": "currency", "qualifier": "exact", "as_of": "FY2020", "period": { "type": "annual", "label": "FY2020", "year": 2020, "start": "2020-01-01", "end": "2020-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "invisible.claim.major-financial_metrics-1-metric" ], "metric_ids": [ "invisible.metric.major-financial_metrics-1" ], "source_ids": [ "invisible.source.audit-inv_forbes" ], "basis": "Revenue: 3,000,000 USD. Period: FY2020.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue: 3,000,000 USD. Period: FY2020.", "evidence_assurance": "Founder-reported via press", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2020 · USD · Whole company · Gross/net undisclosed", "cohort_label": "FY2020 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2020|2020-12-31|USD|company|unspecified" }, { "id": "toloka.metric.major-financial_metrics-0", "company_id": "toloka", "signal": "revenue", "measure": "period_revenue", "label": "Revenue", "value": 10500000, "unit": "currency", "qualifier": "exact", "as_of": "FY2022", "period": { "type": "annual", "label": "FY2022", "year": 2022, "start": "2022-01-01", "end": "2022-12-31" }, "scope": "company", "accounting_basis": "reported_period_revenue", "evidence_type": "reported", "claim_ids": [ "toloka.claim.major-financial_metrics-0-metric" ], "metric_ids": [ "toloka.metric.major-financial_metrics-0" ], "source_ids": [ "toloka.source.audit-tol_2024" ], "basis": "Revenue: 10,500,000 USD. Period: FY2022.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue: 10,500,000 USD. Period: FY2022.", "evidence_assurance": "Nebius annual report (Form 20-F), segment disclosure", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Toloka business in parent disclosures", "cohort": "FY2022 · USD · Whole company · reported period revenue", "cohort_label": "FY2022 · USD · Whole company · reported period revenue", "cohort_key": "period_revenue|annual|2022|2022-12-31|USD|company|reported_period_revenue" }, { "id": "toloka.metric.major-financial_metrics-1", "company_id": "toloka", "signal": "revenue", "measure": "period_revenue", "label": "Revenue", "value": 11100000, "unit": "currency", "qualifier": "exact", "as_of": "FY2023", "period": { "type": "annual", "label": "FY2023", "year": 2023, "start": "2023-01-01", "end": "2023-12-31" }, "scope": "company", "accounting_basis": "latest_discontinued_operations_comparative", "evidence_type": "reported", "claim_ids": [ "toloka.claim.major-financial_metrics-1-metric" ], "metric_ids": [ "toloka.metric.major-financial_metrics-1" ], "source_ids": [ "toloka.source.audit-tol_2024", "toloka.source.audit-tol_2025" ], "basis": "Revenue: 11,100,000 USD. Period: FY2023. Canonical claim cites both the original FY2024 filing and the latest FY2025 comparative filing; FY2023 remains $11.1M in this comparison.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue: 11,100,000 USD. Period: FY2023.", "evidence_assurance": "Nebius annual reports (Form 20-F)", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Toloka business in parent disclosures", "cohort": "FY2023 · USD · Whole company · latest discontinued operations comparative", "cohort_label": "FY2023 · USD · Whole company · latest discontinued operations comparative", "cohort_key": "period_revenue|annual|2023|2023-12-31|USD|company|latest_discontinued_operations_comparative" }, { "id": "toloka.metric.major-financial_metrics-2", "company_id": "toloka", "signal": "revenue", "measure": "period_revenue", "label": "Revenue", "value": 26100000, "unit": "currency", "qualifier": "exact", "as_of": "FY2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "latest_discontinued_operations_comparative", "evidence_type": "reported", "claim_ids": [ "toloka.claim.major-financial_metrics-2-metric" ], "metric_ids": [ "toloka.metric.major-financial_metrics-2" ], "source_ids": [ "toloka.source.audit-tol_2025" ], "basis": "Latest FY2025 20-F comparative discontinued-operations presentation. The earlier FY2024 report showed $26.4M as segment revenue.", "limitations": "Latest FY2025 20-F comparative discontinued-operations presentation. The earlier FY2024 report showed $26.4M as segment revenue.", "original_text": "Revenue: 26,100,000 USD. Period: FY2024.", "evidence_assurance": "Nebius annual report (Form 20-F)", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Toloka business in parent disclosures", "cohort": "FY2024 · USD · Whole company · latest discontinued operations comparative", "cohort_label": "FY2024 · USD · Whole company · latest discontinued operations comparative", "cohort_key": "period_revenue|annual|2024|2024-12-31|USD|company|latest_discontinued_operations_comparative" }, { "id": "imerit.metric.expansion-imerit-revenue", "company_id": "imerit", "signal": "revenue", "measure": "period_revenue", "label": "Approximately $59m revenue, year ended March 2026", "value": 59000000, "unit": "currency", "qualifier": "approximate", "as_of": "2026-03-31", "period": { "type": "annual", "label": "Year ended 31 Mar 2026", "year": 2026, "start": "2025-04-01", "end": "2026-03-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "imerit.claim.expansion-imerit-revenue-metric" ], "metric_ids": [ "imerit.metric.expansion-imerit-revenue" ], "source_ids": [ "imerit.source.audit-im-transcript", "imerit.source.audit-im-transcript2" ], "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.", "limitations": "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.", "original_text": "Approximately $59m revenue, year ended March 2026.", "evidence_assurance": "Preliminary unaudited acquisition disclosure, transcribed CFO statement", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "iMerit standalone business; not EXL consolidated group", "cohort": "Year ended 31 Mar 2026 · USD · Whole company · Gross/net undisclosed", "cohort_label": "Year ended 31 Mar 2026 · USD · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|annual|2026|2026-03-31|USD|company|unspecified" }, { "id": "rws_trainai.claim.growth_metrics-0.metric-0", "company_id": "rws_trainai", "signal": "revenue", "measure": "period_revenue", "label": "Group half-year revenue", "value": 360300000, "unit": "currency", "qualifier": "exact", "as_of": "H1 FY2026", "period": { "type": "half_year", "label": "H1 FY2026 · Oct 2025–Mar 2026", "year": 2026, "start": "2025-10-01", "end": "2026-03-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "rws_trainai.claim.growth_metrics-0" ], "metric_ids": [ "rws_trainai.claim.growth_metrics-0.metric-0" ], "source_ids": [ "rws_trainai.source.d_rws4" ], "basis": "Six months ended March 31, 2026: RWS group actual revenue £360.3m, +5% reported; adjusted EBITDA £45.7m; reported pre-tax loss £9.5m; net debt £32.5m. Group figures, not TrainAI revenues.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Six months ended March 31, 2026: RWS group actual revenue £360.3m, +5% reported; adjusted EBITDA £45.7m; reported pre-tax loss £9.5m; net debt £32.5m. Group figures, not TrainAI revenues.", "evidence_assurance": "Graded by the researchers as independent or buyer-side evidence.", "currency": "GBP", "is_context": false, "scope_label": "Whole company", "scope_detail": "RWS parent group; not standalone TrainAI", "cohort": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Whole company · Gross/net undisclosed", "cohort_label": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Whole company · Gross/net undisclosed", "cohort_key": "period_revenue|half_year|2026|2026-03-31|GBP|company|unspecified" }, { "id": "rws_trainai.claim.growth_metrics-1.metric-0", "company_id": "rws_trainai", "signal": "revenue", "measure": "period_revenue", "label": "Generate segment revenue", "value": 99400000, "unit": "currency", "qualifier": "exact", "as_of": "H1 FY2026", "period": { "type": "half_year", "label": "H1 FY2026 · Oct 2025–Mar 2026", "year": 2026, "start": "2025-10-01", "end": "2026-03-31" }, "scope": "other_segment", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "rws_trainai.claim.growth_metrics-1" ], "metric_ids": [ "rws_trainai.claim.growth_metrics-1.metric-0" ], "source_ids": [ "rws_trainai.source.d_rws4" ], "basis": "Generate segment revenue £99.4m, +44.7% reported (+52% organic constant currency), includes TrainAI and Content Technology. Not all segment revenue is TrainAI. Filing credits exceptional TrainAI activity and new client revenue; no standalone amount.", "limitations": "Generate includes both TrainAI and Content Technology. Standalone TrainAI revenue is not disclosed.", "original_text": "Generate segment revenue £99.4m, +44.7% reported (+52% organic constant currency), includes TrainAI and Content Technology. Not all segment revenue is TrainAI. Filing credits exceptional TrainAI activity and new client revenue; no standalone amount.", "evidence_assurance": "Graded by the researchers as independent or buyer-side evidence.", "currency": "GBP", "is_context": false, "scope_label": "Other or mixed segment", "scope_detail": "Generate: TrainAI + Content Technology", "cohort": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Other or mixed segment · Gross/net undisclosed", "cohort_label": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Other or mixed segment · Gross/net undisclosed", "cohort_key": "period_revenue|half_year|2026|2026-03-31|GBP|other_segment|unspecified" }, { "id": "mercor.metric.major-growth_metrics-1", "company_id": "mercor", "signal": "revenue", "measure": "period_revenue", "label": "Actual-period gross revenue", "value": 614000000, "unit": "currency", "qualifier": "exact", "as_of": "2026-H1", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "ai_data", "accounting_basis": "gross", "evidence_type": "reported", "claim_ids": [ "mercor.claim.major-growth_metrics-1-metric" ], "metric_ids": [ "mercor.metric.major-growth_metrics-1" ], "source_ids": [ "mercor.source.audit-m6" ], "basis": "Actual-period gross revenue: 614,000,000 USD. Period: 2026-H1.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Actual-period gross revenue: 614,000,000 USD. Period: 2026-H1.", "evidence_assurance": "Secondary-reported, unaudited", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "H1 2026 · USD · AI business / service line · Gross before delivery payouts", "cohort_label": "H1 2026 · USD · AI business / service line · Gross before delivery payouts", "cohort_key": "period_revenue|half_year|2026|2026-06-30|USD|ai_data|gross" }, { "id": "mercor.metric.oct14-major-financial-2", "company_id": "mercor", "signal": "revenue", "measure": "annualized_revenue", "label": "$2B annualized gross revenue", "value": 2000000000, "unit": "currency", "qualifier": "exact", "as_of": "2026-06", "period": { "type": "run_rate", "label": "2026-06" }, "scope": "company", "accounting_basis": "gross", "evidence_type": "reported", "claim_ids": [ "mercor.claim.oct14-major-financial-2" ], "metric_ids": [ "mercor.metric.oct14-major-financial-2" ], "source_ids": [ "mercor.source.oct14-88dab2271689" ], "basis": "Felicis reports the pace; Sacra estimates the gross basis. Not net revenue or FY revenue.", "limitations": "Felicis reports the pace; Sacra estimates the gross basis. Not net revenue or FY revenue. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "$2B annualized gross revenue. Sacra estimates the gross basis. Not net revenue or FY revenue.", "evidence_assurance": "Investor-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Annualized snapshots · USD · Whole company · Gross before delivery payouts", "cohort_label": "Annualized snapshots · USD · Whole company · Gross before delivery payouts", "cohort_key": "annualized_revenue|run_rate|||USD|company|gross" }, { "id": "mercor.metric.major-growth_metrics-2", "company_id": "mercor", "signal": "revenue", "measure": "annualized_revenue", "label": "Annualized revenue run-rate baseline", "value": 500000000, "unit": "currency", "qualifier": "exact", "as_of": "2025-09", "period": { "type": "run_rate", "label": "2025-09" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "mercor.claim.major-growth_metrics-2-metric" ], "metric_ids": [ "mercor.metric.major-growth_metrics-2" ], "source_ids": [ "mercor.source.audit-audit_m18" ], "basis": "Annualized revenue run-rate baseline: 500,000,000 USD. Period: 2025-09.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Annualized revenue run-rate baseline: 500,000,000 USD. Period: 2025-09.", "evidence_assurance": "Investor-published company claim", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "Annualized snapshots · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|ai_data|unspecified" }, { "id": "mercor.metric.major-growth_metrics-3", "company_id": "mercor", "signal": "revenue", "measure": "annualized_revenue", "label": "Annualized revenue run-rate intermediate", "value": 1000000000, "unit": "currency", "qualifier": "exact", "as_of": "2026-03", "period": { "type": "run_rate", "label": "2026-03" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "mercor.claim.major-growth_metrics-3-metric" ], "metric_ids": [ "mercor.metric.major-growth_metrics-3" ], "source_ids": [ "mercor.source.audit-audit_m18" ], "basis": "Annualized revenue run-rate intermediate: 1,000,000,000 USD. Period: 2026-03.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Annualized revenue run-rate intermediate: 1,000,000,000 USD. Period: 2026-03.", "evidence_assurance": "Investor-published company claim", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "Annualized snapshots · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|ai_data|unspecified" }, { "id": "handshake_ai.metric.major-growth_metrics-0", "company_id": "handshake_ai", "signal": "revenue", "measure": "annualized_revenue", "label": "Nearly $1B AI gross annualized revenue", "value": 1000000000, "unit": "currency", "qualifier": "nearly", "as_of": "2026-04-23", "period": { "type": "run_rate", "label": "2026-04-23" }, "scope": "ai_data", "accounting_basis": "gross", "evidence_type": "reported", "claim_ids": [ "handshake_ai.claim.oct14-major-financial-0" ], "metric_ids": [ "handshake_ai.metric.major-growth_metrics-0" ], "source_ids": [ "handshake_ai.source.oct14-e0de0f3911dc" ], "basis": "Gross before contractor payments.", "limitations": "Gross before contractor payments. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Nearly $1B AI gross annualized revenue.", "evidence_assurance": "Attributed primary-source evidence", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "Handshake AI business; excludes campus recruiting", "cohort": "Annualized snapshots · USD · AI business / service line · Gross before delivery payouts", "cohort_label": "Annualized snapshots · USD · AI business / service line · Gross before delivery payouts", "cohort_key": "annualized_revenue|run_rate|||USD|ai_data|gross" }, { "id": "micro1.metric.oct14-q3-run-rate", "company_id": "micro1", "signal": "revenue", "measure": "annualized_revenue", "label": "Annual run rate", "value": 1000000000, "unit": "currency", "qualifier": "greater_than", "as_of": "2026-10-12", "period": { "type": "run_rate", "label": "2026-10-12" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "micro1.claim.oct14-q3-run-rate" ], "metric_ids": [ "micro1.metric.oct14-q3-run-rate" ], "source_ids": [ "micro1.source.oct14-19eb5016dbc6" ], "basis": "Company-reported annualized run rate; not realized annual revenue or ARR. Gross/net basis and measurement-window methodology are unspecified.", "limitations": "Company-reported annualized run rate; not realized annual revenue or ARR. Gross/net basis and measurement-window methodology are unspecified. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "micro1 says its annual run rate surpassed $1 billion in its October 12 end-of-Q3 update.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "micro1.metric.major-growth_metrics-0", "company_id": "micro1", "signal": "revenue", "measure": "annualized_revenue", "label": "Annual revenue run rate", "value": 50000000, "unit": "currency", "qualifier": "exact", "as_of": "2025-09-12", "period": { "type": "run_rate", "label": "2025-09-12" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "micro1.claim.major-growth_metrics-0-metric" ], "metric_ids": [ "micro1.metric.major-growth_metrics-0" ], "source_ids": [ "micro1.source.audit-u1" ], "basis": "Annual revenue run rate: 50,000,000 USD. Period: 2025-09-12.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Annual revenue run rate: 50,000,000 USD. Period: 2025-09-12.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "Annualized snapshots · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|ai_data|unspecified" }, { "id": "micro1.metric.major-growth_metrics-2", "company_id": "micro1", "signal": "revenue", "measure": "annualized_revenue", "label": "Gross annual run rate", "value": 500000000, "unit": "currency", "qualifier": "exact", "as_of": "2026-08-20", "period": { "type": "run_rate", "label": "2026-08-20" }, "scope": "ai_data", "accounting_basis": "gross", "evidence_type": "reported", "claim_ids": [ "micro1.claim.major-growth_metrics-2-metric" ], "metric_ids": [ "micro1.metric.major-growth_metrics-2" ], "source_ids": [ "micro1.source.audit-u6" ], "basis": "Gross annual run rate: 500,000,000 USD. Period: 2026-08-20.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Gross annual run rate: 500,000,000 USD. Period: 2026-08-20.", "evidence_assurance": "Press-reported", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "Annualized snapshots · USD · AI business / service line · Gross before delivery payouts", "cohort_label": "Annualized snapshots · USD · AI business / service line · Gross before delivery payouts", "cohort_key": "annualized_revenue|run_rate|||USD|ai_data|gross" }, { "id": "snorkel_ai.metric.major-growth_metrics-0", "company_id": "snorkel_ai", "signal": "revenue", "measure": "annualized_revenue", "label": "Annualized revenue run rate", "value": 375000000, "unit": "currency", "qualifier": "exact", "as_of": "2026-09-22", "period": { "type": "run_rate", "label": "2026-09-22" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "snorkel_ai.claim.major-growth_metrics-0-metric" ], "metric_ids": [ "snorkel_ai.metric.major-growth_metrics-0" ], "source_ids": [ "snorkel_ai.source.audit-s5", "snorkel_ai.source.oct14-006107ac93e3" ], "basis": "Company-reported annualized revenue run rate as of the September 22 announcement; not realized annual revenue or a separately defined recurring-revenue ARR measure. Gross/net accounting is unspecified.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Annualized revenue run rate: 375,000,000 USD. Period: 2026-09-22.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "afterquery.metric.round2-financial-2", "company_id": "afterquery", "signal": "revenue", "measure": "annualized_revenue", "label": "Revenue run rate disclosed", "value": 100000000, "unit": "currency", "qualifier": "greater_than", "as_of": "2026-04-09", "period": { "type": "run_rate", "label": "2026-04-09" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "afterquery.claim.round2-financial-2" ], "metric_ids": [ "afterquery.metric.round2-financial-2" ], "source_ids": [ "afterquery.source.round2-funding" ], "basis": "Threshold passed by the disclosure date; exact crossing date undisclosed. Annualized revenue run rate; annual revenue and recurring-revenue composition undisclosed.", "limitations": "Threshold passed by the disclosure date; exact crossing date undisclosed. Annualized revenue run rate; annual revenue and recurring-revenue composition undisclosed. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Revenue run rate disclosed: >$100M. Threshold passed by the disclosure date; exact crossing date undisclosed. Annualized revenue run rate; annual revenue and recurring-revenue composition undisclosed.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "proximal.metric.oct14-0-revenue-run-rate", "company_id": "proximal", "signal": "revenue", "measure": "annualized_revenue", "label": "Annualized revenue", "value": 200000000.0, "unit": "currency", "qualifier": "exact", "as_of": "2026-09-29", "period": { "type": "run_rate", "label": "2026-09-29" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "proximal.claim.oct14-metric-0-revenue-run-rate" ], "metric_ids": [ "proximal.metric.oct14-0-revenue-run-rate" ], "source_ids": [ "proximal.source.oct14-4e72c4026cdf" ], "basis": "Company-reported annualized figure; not realized annual revenue or ARR.", "limitations": "Company-reported annualized figure; not realized annual revenue or ARR. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Annualized revenue: USD 200M. Company-reported annualized figure; not realized annual revenue or ARR.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "prime_intellect.metric.audit-pi-run-rate", "company_id": "prime_intellect", "signal": "revenue", "measure": "annualized_revenue", "label": "Annualized revenue", "value": 100000000.0, "unit": "currency", "qualifier": "greater_than", "as_of": "2026-07-08", "period": { "type": "run_rate", "label": "2026-07-08" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "prime_intellect.claim.oct14-metric-1-annualized-revenue" ], "metric_ids": [ "prime_intellect.metric.audit-pi-run-rate" ], "source_ids": [ "prime_intellect.source.oct14-13f8e60149ba" ], "basis": "Company-reported run rate, not realized annual revenue. The issuer says over $100M, so the figure is a strict lower bound.", "limitations": "Company-reported run rate, not realized annual revenue. The issuer says over $100M, so the figure is a strict lower bound. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "Annualized revenue: $100M+. Company-reported run rate, not realized annual revenue.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Prime Intellect infrastructure platform; includes compute", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "prolific.metric.audit-0", "company_id": "prolific", "signal": "revenue", "measure": "annualized_revenue", "label": "CEO-reported annualized revenue", "value": 300000000, "unit": "currency", "qualifier": "at_least", "as_of": "2026-04 (inferred)", "period": { "type": "run_rate", "label": "2026-04 (inferred)" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "prolific.claim.audit-0-metric" ], "metric_ids": [ "prolific.metric.audit-0" ], "source_ids": [ "prolific.source.audit-f1a6aacb51" ], "basis": "Previous-month threshold reported in CEO post; not subscription ARR, not full-year realized revenue. Date inferred from post activity timestamp.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification. Annualized snapshot, not completed-year revenue or proven subscription ARR. Calendar month is inferred from a CEO post, not an exact observation date.", "original_text": "CEO Phelim Bradley reported that Prolific had crossed $300M annualized revenue in the previous month and completed a $10M revenue week. He separately projected $500M annualized revenue by end-May and said cumulative participant payouts exceeded $500M. The target is a forecast; payouts are neither revenue nor funding.", "evidence_assurance": "CEO-reported operating figures; unaudited", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Prolific platform; includes research outside AI data", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "turing.metric.major-growth_metrics-1", "company_id": "turing", "signal": "revenue", "measure": "annualized_revenue", "label": "$300M revenue run rate", "value": 300000000, "unit": "currency", "qualifier": "exact", "as_of": "2024-12", "period": { "type": "run_rate", "label": "2024-12" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "turing.claim.oct14-major-financial-2" ], "metric_ids": [ "turing.metric.major-growth_metrics-1" ], "source_ids": [ "turing.source.oct14-6d7f270a4e05" ], "basis": "The primary company release says annual revenue run rate.", "limitations": "The primary company release says annual revenue run rate. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "$300M revenue run rate. The primary company release says annual revenue run rate.", "evidence_assurance": "Company-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "a-team.claim.growth_metrics-2.metric-0", "company_id": "a-team", "signal": "revenue", "measure": "annualized_revenue", "label": "Annualized revenue run rate", "value": 42000000, "unit": "currency", "qualifier": "exact", "as_of": "2022-05-17", "period": { "type": "run_rate", "label": "2022-05-17" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "a-team.claim.growth_metrics-2" ], "metric_ids": [ "a-team.claim.growth_metrics-2.metric-0" ], "source_ids": [ "a-team.source.ateam-7" ], "basis": "In May 2022, CEO reported $42M annualized revenue run rate and quarterly doubling. This is a historical founder-reported run rate, not actual FY2022 revenue, SaaS ARR or a 2026 number.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification. Annualized snapshot, not completed-year revenue or proven subscription ARR.", "original_text": "In May 2022, CEO reported $42M annualized revenue run rate and quarterly doubling. This is a historical founder-reported run rate, not actual FY2022 revenue, SaaS ARR or a 2026 number.", "evidence_assurance": "Graded by the researchers as an attributed company, investor, or named primary statement.", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_label": "Annualized snapshots · USD · Whole company · Gross/net undisclosed", "cohort_key": "annualized_revenue|run_rate|||USD|company|unspecified" }, { "id": "appen.metric.major-growth_metrics-0", "company_id": "appen", "signal": "revenue", "measure": "revenue_growth_yoy", "label": "Revenue growth · FY2025", "value": -1.5, "unit": "percent", "qualifier": "exact", "as_of": "FY2025", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "reported_period_revenue", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-growth_metrics-0-metric" ], "metric_ids": [ "appen.metric.major-growth_metrics-0" ], "source_ids": [ "appen.source.audit-ap_2025" ], "basis": "Revenue growth: -1.5 percent YoY. Period: FY2025.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue growth: -1.5 percent YoY. Period: FY2025.", "evidence_assurance": "Annual report (ASX)", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2025 · percent · Whole company · reported period revenue", "cohort_label": "FY2025 · percent · Whole company · reported period revenue", "cohort_key": "revenue_growth_yoy|annual|2025|2025-12-31||company|reported_period_revenue" }, { "id": "appen.metric.major-growth_metrics-5", "company_id": "appen", "signal": "revenue", "measure": "revenue_growth_yoy", "label": "Revenue growth · H1 2026", "value": 17.5, "unit": "percent", "qualifier": "exact", "as_of": "H1 2026", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "company", "accounting_basis": "reported_period_revenue", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-growth_metrics-5-metric" ], "metric_ids": [ "appen.metric.major-growth_metrics-5" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Revenue growth: 17.5 percent YoY. Period: H1 2026.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue growth: 17.5 percent YoY. Period: H1 2026.", "evidence_assurance": "Attributed public statement", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "H1 2026 · percent · Whole company · reported period revenue", "cohort_label": "H1 2026 · percent · Whole company · reported period revenue", "cohort_key": "revenue_growth_yoy|half_year|2026|2026-06-30||company|reported_period_revenue" }, { "id": "taskus.metric.expansion-5", "company_id": "taskus", "signal": "revenue", "measure": "revenue_growth_yoy", "label": "AI Services revenue growth · FY2025", "value": 58.6, "unit": "percent", "qualifier": "exact", "as_of": "FY2025 versus FY2024", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "ai_data", "accounting_basis": "reported_period_revenue", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-5-metric" ], "metric_ids": [ "taskus.metric.expansion-5" ], "source_ids": [ "taskus.source.fy2025" ], "basis": "Revenue growth: 58.6 percent YoY. FY2025 versus FY2024.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Revenue growth: 58.6 percent YoY. FY2025 versus FY2024.", "evidence_assurance": "Annual report (Form 10-K)", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "FY2025 · percent · AI business / service line · reported period revenue", "cohort_label": "FY2025 · percent · AI business / service line · reported period revenue", "cohort_key": "revenue_growth_yoy|annual|2025|2025-12-31||ai_data|reported_period_revenue" }, { "id": "dashboard.taskus.ai-h1-2026-revenue-growth", "company_id": "taskus", "signal": "revenue", "measure": "revenue_growth_yoy", "label": "AI Services revenue growth · H1 2026", "value": 30.626485620721677, "unit": "percent", "qualifier": "calculated", "as_of": "six months ended 2026-06-30", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "calculated", "claim_ids": [ "taskus.claim.expansion-8-metric", "taskus.claim.expansion-9-metric" ], "metric_ids": [ "taskus.metric.expansion-8", "taskus.metric.expansion-9" ], "source_ids": [ "taskus.source.q2slides" ], "basis": "Same AI Services service line and January–June periods; source presentation gives both observations.", "limitations": "Calculated from the displayed source observations; not a separately reported metric. Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Half-year revenue: 128,044,000 USD. Six months ended 2026-06-30.\nHalf-year revenue: 98,023,000 USD. Six months ended 2025-06-30.", "calculation": { "formula": "(128044000 / 98023000 - 1) * 100", "input_observation_ids": [ "taskus.metric.expansion-8", "taskus.metric.expansion-9" ] }, "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI Services service line", "cohort": "H1 2026 · percent · AI business / service line · Gross/net undisclosed", "cohort_label": "H1 2026 · percent · AI business / service line · Gross/net undisclosed", "cohort_key": "revenue_growth_yoy|half_year|2026|2026-06-30||ai_data|unspecified" }, { "id": "dashboard.taskus.group-fy2025-revenue-growth", "company_id": "taskus", "signal": "revenue", "measure": "revenue_growth_yoy", "label": "Group revenue growth · FY2025", "value": 18.951240470961885, "unit": "percent", "qualifier": "calculated", "as_of": "FY ended 2025-12-31", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "calculated", "claim_ids": [ "taskus.claim.oct14-major-financial-1", "taskus.claim.expansion-1-metric" ], "metric_ids": [ "taskus.metric.expansion-0", "taskus.metric.expansion-1" ], "source_ids": [ "taskus.source.oct14-af5dd6eee71b", "taskus.source.fy2025" ], "basis": "TaskUs consolidated group; not growth of the AI service line.", "limitations": "Calculated from the displayed source observations; not a separately reported metric. Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "$1.183547B total service revenue.\nAnnual revenue: 994,985,000 USD. FY ended 2024-12-31.", "evidence_assurance": "Annual report (Form 10-K)", "calculation": { "formula": "(1183547000 / 994985000 - 1) * 100", "input_observation_ids": [ "taskus.metric.expansion-0", "taskus.metric.expansion-1" ] }, "is_context": false, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "FY2025 · percent · Whole company · Gross/net undisclosed", "cohort_label": "FY2025 · percent · Whole company · Gross/net undisclosed", "cohort_key": "revenue_growth_yoy|annual|2025|2025-12-31||company|unspecified" }, { "id": "dashboard.toloka.fy2024-revenue-growth", "company_id": "toloka", "signal": "revenue", "measure": "revenue_growth_yoy", "label": "Revenue growth · FY2024 comparative basis", "value": 135.13513513513513, "unit": "percent", "qualifier": "calculated", "as_of": "FY2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "latest_discontinued_operations_comparative", "evidence_type": "calculated", "claim_ids": [ "toloka.claim.major-financial_metrics-2-metric", "toloka.claim.major-financial_metrics-1-metric" ], "metric_ids": [ "toloka.metric.major-financial_metrics-2", "toloka.metric.major-financial_metrics-1" ], "source_ids": [ "toloka.source.audit-tol_2025", "toloka.source.audit-tol_2024" ], "basis": "Latest rounded discontinued-operations comparative revenue; original segment presentation of $26.4M produced a different 138% headline.", "limitations": "Calculated from the displayed source observations; not a separately reported metric. Latest FY2025 20-F comparative discontinued-operations presentation. The earlier FY2024 report showed $26.4M as segment revenue.", "original_text": "Revenue: 26,100,000 USD. Period: FY2024.\nRevenue: 11,100,000 USD. Period: FY2023.", "evidence_assurance": "Nebius annual reports (Form 20-F)", "calculation": { "formula": "(26100000 / 11100000 - 1) * 100", "input_observation_ids": [ "toloka.metric.major-financial_metrics-2", "toloka.metric.major-financial_metrics-1" ] }, "is_context": false, "scope_label": "Whole company", "scope_detail": "Toloka business in parent disclosures", "cohort": "FY2024 · percent · Whole company · latest discontinued operations comparative", "cohort_label": "FY2024 · percent · Whole company · latest discontinued operations comparative", "cohort_key": "revenue_growth_yoy|annual|2024|2024-12-31||company|latest_discontinued_operations_comparative" }, { "id": "appen.metric.major-financial_metrics-9", "company_id": "appen", "signal": "profit", "measure": "net_income", "label": "Statutory net loss after tax", "value": -4454000, "unit": "currency", "qualifier": "exact", "as_of": "H1 2026", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "company", "accounting_basis": "statutory_net_income", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-financial_metrics-9-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-9" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Statutory net profit after tax: -4,454,000 USD. Period: H1 2026.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Statutory net profit after tax: -4,454,000 USD. Period: H1 2026.", "evidence_assurance": "Reviewed public company interim", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "H1 2026 · USD · Whole company · statutory net income", "cohort_label": "H1 2026 · USD · Whole company · statutory net income", "cohort_key": "net_income|half_year|2026|2026-06-30|USD|company|statutory_net_income" }, { "id": "appen.metric.major-financial_metrics-10", "company_id": "appen", "signal": "profit", "measure": "adjusted_ebitda", "label": "Underlying EBITDA before FX", "value": 5336000, "unit": "currency", "qualifier": "exact", "as_of": "H1 2026", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "company", "accounting_basis": "underlying_ebitda_before_fx", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-financial_metrics-10-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-10" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Underlying EBITDA before FX: 5,336,000 USD. Period: H1 2026.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Underlying EBITDA before FX: 5,336,000 USD. Period: H1 2026.", "evidence_assurance": "Attributed public statement", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "H1 2026 · USD · Whole company · underlying ebitda before fx", "cohort_label": "H1 2026 · USD · Whole company · underlying ebitda before fx", "cohort_key": "adjusted_ebitda|half_year|2026|2026-06-30|USD|company|underlying_ebitda_before_fx" }, { "id": "appen.metric.major-financial_metrics-5", "company_id": "appen", "signal": "profit", "measure": "adjusted_ebitda", "label": "Underlying EBITDA before FX", "value": 12200000, "unit": "currency", "qualifier": "exact", "as_of": "FY2025", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "underlying_ebitda_before_fx", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-financial_metrics-5-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-5" ], "source_ids": [ "appen.source.audit-ap_2025" ], "basis": "Not statutory net profit.", "limitations": "Not statutory net profit.", "original_text": "Underlying EBITDA before FX: 12,200,000 USD. Period: FY2025.", "evidence_assurance": "Attributed public statement", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "FY2025 · USD · Whole company · underlying ebitda before fx", "cohort_label": "FY2025 · USD · Whole company · underlying ebitda before fx", "cohort_key": "adjusted_ebitda|annual|2025|2025-12-31|USD|company|underlying_ebitda_before_fx" }, { "id": "taskus.metric.expansion-6", "company_id": "taskus", "signal": "profit", "measure": "net_income", "label": "Group net income", "value": 102275000, "unit": "currency", "qualifier": "exact", "as_of": "FY ended 2025-12-31", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "us_gaap_net_income", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-6-metric" ], "metric_ids": [ "taskus.metric.expansion-6" ], "source_ids": [ "taskus.source.fy2025" ], "basis": "Net income: 102,275,000 USD. FY ended 2025-12-31.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Net income: 102,275,000 USD. FY ended 2025-12-31.", "evidence_assurance": "Annual report (Form 10-K)", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "FY2025 · USD · Whole company · us gaap net income", "cohort_label": "FY2025 · USD · Whole company · us gaap net income", "cohort_key": "net_income|annual|2025|2025-12-31|USD|company|us_gaap_net_income" }, { "id": "toloka.metric.major-financial_metrics-5", "company_id": "toloka", "signal": "profit", "measure": "adjusted_ebitda", "label": "Adjusted EBITDA · original segment basis", "value": -40100000, "unit": "currency", "qualifier": "exact", "as_of": "FY2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "company", "accounting_basis": "adjusted_ebitda_original_segment", "evidence_type": "reported", "claim_ids": [ "toloka.claim.major-financial_metrics-5-metric" ], "metric_ids": [ "toloka.metric.major-financial_metrics-5" ], "source_ids": [ "toloka.source.audit-tol_2024" ], "basis": "Adjusted EBITDA: -40,100,000 USD. Period: FY2024.", "limitations": "Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Adjusted EBITDA: -40,100,000 USD. Period: FY2024.", "evidence_assurance": "Parent segment non-GAAP", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Toloka business in parent disclosures", "cohort": "FY2024 · USD · Whole company · adjusted ebitda original segment", "cohort_label": "FY2024 · USD · Whole company · adjusted ebitda original segment", "cohort_key": "adjusted_ebitda|annual|2024|2024-12-31|USD|company|adjusted_ebitda_original_segment" }, { "id": "dashboard.appen.h1-2026-net-margin", "company_id": "appen", "signal": "profit", "measure": "net_margin", "label": "Statutory net margin", "value": -3.7142976274861357, "unit": "percent", "qualifier": "calculated", "as_of": "H1 2026", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "company", "accounting_basis": "statutory_net_income", "evidence_type": "calculated", "claim_ids": [ "appen.claim.major-financial_metrics-9-metric", "appen.claim.major-financial_metrics-6-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-9", "appen.metric.major-financial_metrics-6" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Statutory profit after tax / revenue from customer contracts, same six-month period.", "limitations": "Calculated from the displayed source observations; not a separately reported metric. Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Statutory net profit after tax: -4,454,000 USD. Period: H1 2026.\nRevenue from contracts with customers: 119,915,000 USD. Period: H1 2026 (January–June).", "calculation": { "formula": "-4454000 / 119915000 * 100", "input_observation_ids": [ "appen.metric.major-financial_metrics-9", "appen.metric.major-financial_metrics-6" ] }, "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "H1 2026 · percent · Whole company · statutory net income", "cohort_label": "H1 2026 · percent · Whole company · statutory net income", "cohort_key": "net_margin|half_year|2026|2026-06-30||company|statutory_net_income" }, { "id": "dashboard.taskus.fy2025-net-margin", "company_id": "taskus", "signal": "profit", "measure": "net_margin", "label": "Group net margin", "value": 8.641397426549178, "unit": "percent", "qualifier": "calculated", "as_of": "FY ended 2025-12-31", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "us_gaap_net_income", "evidence_type": "calculated", "claim_ids": [ "taskus.claim.expansion-6-metric", "taskus.claim.oct14-major-financial-1" ], "metric_ids": [ "taskus.metric.expansion-6", "taskus.metric.expansion-0" ], "source_ids": [ "taskus.source.fy2025", "taskus.source.oct14-af5dd6eee71b" ], "basis": "US GAAP consolidated net income / consolidated service revenue; not AI Services margin.", "limitations": "Calculated from the displayed source observations; not a separately reported metric. Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Net income: 102,275,000 USD. FY ended 2025-12-31.\n$1.183547B total service revenue.", "evidence_assurance": "Annual report (Form 10-K)", "calculation": { "formula": "102275000 / 1183547000 * 100", "input_observation_ids": [ "taskus.metric.expansion-6", "taskus.metric.expansion-0" ] }, "is_context": false, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "FY2025 · percent · Whole company · us gaap net income", "cohort_label": "FY2025 · percent · Whole company · us gaap net income", "cohort_key": "net_margin|annual|2025|2025-12-31||company|us_gaap_net_income" }, { "id": "dashboard.appen.h1-2026-underlying-ebitda-margin", "company_id": "appen", "signal": "profit", "measure": "adjusted_ebitda_margin", "label": "Underlying EBITDA margin before FX", "value": 4.449818621523579, "unit": "percent", "qualifier": "calculated", "as_of": "H1 2026", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "company", "accounting_basis": "underlying_ebitda_before_fx", "evidence_type": "calculated", "claim_ids": [ "appen.claim.major-financial_metrics-10-metric", "appen.claim.major-financial_metrics-6-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-10", "appen.metric.major-financial_metrics-6" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Non-GAAP underlying EBITDA before FX / revenue; separate from statutory net margin.", "limitations": "Calculated from the displayed source observations; not a separately reported metric. Definitions, dates and scope are specific to the cited source; disclosure is not independent verification.", "original_text": "Underlying EBITDA before FX: 5,336,000 USD. Period: H1 2026.\nRevenue from contracts with customers: 119,915,000 USD. Period: H1 2026 (January–June).", "calculation": { "formula": "5336000 / 119915000 * 100", "input_observation_ids": [ "appen.metric.major-financial_metrics-10", "appen.metric.major-financial_metrics-6" ] }, "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "H1 2026 · percent · Whole company · underlying ebitda before fx", "cohort_label": "H1 2026 · percent · Whole company · underlying ebitda before fx", "cohort_key": "adjusted_ebitda_margin|half_year|2026|2026-06-30||company|underlying_ebitda_before_fx" }, { "id": "dashboard.rws.h1-2026-gross-margin", "company_id": "rws_trainai", "signal": "profit", "measure": "gross_margin", "label": "Group gross margin", "value": 41.6, "unit": "percent", "qualifier": "exact", "as_of": "2026-06-11", "period": { "type": "half_year", "label": "H1 FY2026 · Oct 2025–Mar 2026", "year": 2026, "start": "2025-10-01", "end": "2026-03-31" }, "scope": "company", "accounting_basis": "group_gross_margin", "evidence_type": "reported", "claim_ids": [ "rws_trainai.claim.audit-rws-margin-context" ], "metric_ids": [], "source_ids": [ "rws_trainai.source.d_rws4" ], "basis": "Parsed directly from the reviewed H1 FY2026 margin-context claim.", "limitations": "Group margin, not TrainAI margin. Declined 1.7 percentage points; faster-growing TrainAI work was described as lower margin.", "original_text": "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.\nCaveat: This supports the warning against treating data-services revenue as SaaS economics. It does not disclose a standalone TrainAI margin.", "evidence_assurance": "Unaudited regulatory reporting. RWS H1 FY2026 reporting and management commentary supply group margin and mix explanation; no separate TrainAI margin is given.", "is_context": false, "scope_label": "Whole company", "scope_detail": "RWS parent group; not standalone TrainAI", "cohort": "H1 FY2026 · Oct 2025–Mar 2026 · percent · Whole company · group gross margin", "cohort_label": "H1 FY2026 · Oct 2025–Mar 2026 · percent · Whole company · group gross margin", "cohort_key": "gross_margin|half_year|2026|2026-03-31||company|group_gross_margin" }, { "id": "dashboard.rws.h1-2026-adjusted-ebitda", "company_id": "rws_trainai", "signal": "profit", "measure": "adjusted_ebitda", "label": "Group adjusted EBITDA", "value": 45700000, "unit": "currency", "qualifier": "exact", "as_of": "H1 FY2026", "period": { "type": "half_year", "label": "H1 FY2026 · Oct 2025–Mar 2026", "year": 2026, "start": "2025-10-01", "end": "2026-03-31" }, "scope": "company", "accounting_basis": "adjusted_ebitda", "evidence_type": "reported", "claim_ids": [ "rws_trainai.claim.growth_metrics-0" ], "metric_ids": [], "source_ids": [ "rws_trainai.source.d_rws4" ], "basis": "Amount parsed from the reviewed group half-year results claim.", "limitations": "Group-wide adjusted EBITDA; not statutory profit or TrainAI standalone economics.", "original_text": "Six months ended March 31, 2026: RWS group actual revenue £360.3m, +5% reported; adjusted EBITDA £45.7m; reported pre-tax loss £9.5m; net debt £32.5m. Group figures, not TrainAI revenues.", "evidence_assurance": "Graded by the researchers as independent or buyer-side evidence.", "currency": "GBP", "is_context": false, "scope_label": "Whole company", "scope_detail": "RWS parent group; not standalone TrainAI", "cohort": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Whole company · adjusted ebitda", "cohort_label": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Whole company · adjusted ebitda", "cohort_key": "adjusted_ebitda|half_year|2026|2026-03-31|GBP|company|adjusted_ebitda" }, { "id": "dashboard.rws.h1-2026-pretax-income", "company_id": "rws_trainai", "signal": "profit", "measure": "pretax_income", "label": "Group pre-tax loss", "value": -9500000, "unit": "currency", "qualifier": "exact", "as_of": "H1 FY2026", "period": { "type": "half_year", "label": "H1 FY2026 · Oct 2025–Mar 2026", "year": 2026, "start": "2025-10-01", "end": "2026-03-31" }, "scope": "company", "accounting_basis": "reported_pretax_income", "evidence_type": "reported", "claim_ids": [ "rws_trainai.claim.growth_metrics-0" ], "metric_ids": [], "source_ids": [ "rws_trainai.source.d_rws4" ], "basis": "Reported pre-tax loss parsed from the reviewed group half-year results claim.", "limitations": "Pre-tax loss differs from net income after tax and from adjusted EBITDA. Group, not TrainAI.", "original_text": "Six months ended March 31, 2026: RWS group actual revenue £360.3m, +5% reported; adjusted EBITDA £45.7m; reported pre-tax loss £9.5m; net debt £32.5m. Group figures, not TrainAI revenues.", "evidence_assurance": "Graded by the researchers as independent or buyer-side evidence.", "currency": "GBP", "is_context": false, "scope_label": "Whole company", "scope_detail": "RWS parent group; not standalone TrainAI", "cohort": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Whole company · reported pretax income", "cohort_label": "H1 FY2026 · Oct 2025–Mar 2026 · GBP · Whole company · reported pretax income", "cohort_key": "pretax_income|half_year|2026|2026-03-31|GBP|company|reported_pretax_income" }, { "id": "dashboard.labelbox.claim.major-financial_metrics-3", "company_id": "labelbox", "signal": "profit", "measure": "profitability_statement", "label": "Company says profitable", "value": null, "unit": "statement", "qualifier": "exact", "as_of": "undated", "period": { "type": "undated", "label": "Undated company statement" }, "scope": "company", "accounting_basis": "not_applicable", "evidence_type": "reported", "claim_ids": [ "labelbox.claim.major-financial_metrics-3" ], "metric_ids": [], "source_ids": [ "labelbox.source.audit-lb_about" ], "basis": "Attributed qualitative statement; excluded from numeric margin comparisons.", "limitations": "Self-reported profitability; no current profit amount, accounting definition or period.", "original_text": "Profitability: yes (company claim). Period: undated page observed 2026-10-12.\nCaveat: No accounting definition, measurement period or financial statement supplied.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Undated company statement · statement · Whole company · Source-defined measure", "cohort_label": "Undated company statement · statement · Whole company · Source-defined measure", "cohort_key": "profitability_statement|undated|undated|||company|not_applicable" }, { "id": "dashboard.imerit.claim.expansion-imerit-profit-model", "company_id": "imerit", "signal": "profit", "measure": "profitability_statement", "label": "Acquirer says profitable", "value": null, "unit": "statement", "qualifier": "exact", "as_of": "2026-06-24", "period": { "type": "snapshot", "label": "24 Jun 2026", "year": 2026 }, "scope": "company", "accounting_basis": "not_applicable", "evidence_type": "reported", "claim_ids": [ "imerit.claim.expansion-imerit-profit-model" ], "metric_ids": [], "source_ids": [ "imerit.source.audit-im-transcript" ], "basis": "Attributed qualitative statement; excluded from numeric margin comparisons.", "limitations": "Acquirer statement; no disclosed profit amount or margin.", "original_text": "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.\nCaveat: Executive description, not iMerit financial statements; ongoing or annuity-like work is not SaaS ARR.", "evidence_assurance": "Acquirer executive statement; unaudited profitability description", "is_context": true, "scope_label": "Whole company", "scope_detail": "iMerit standalone business; not EXL consolidated group", "cohort": "Dated snapshots · statement · Whole company · Source-defined measure", "cohort_label": "Dated snapshots · statement · Whole company · Source-defined measure", "cohort_key": "profitability_statement|snapshot|2026|||company|not_applicable" }, { "id": "dashboard.surge_ai.claim.growth_metrics-0", "company_id": "surge_ai", "signal": "profit", "measure": "profitability_statement", "label": "Reported profitable in FY2024", "value": null, "unit": "statement", "qualifier": "exact", "as_of": "2024", "period": { "type": "annual", "label": "FY2024", "year": 2024, "start": "2024-01-01", "end": "2024-12-31" }, "scope": "ai_data", "accounting_basis": "not_applicable", "evidence_type": "reported", "claim_ids": [ "surge_ai.claim.growth_metrics-0" ], "metric_ids": [], "source_ids": [ "surge_ai.source.b_sg4" ], "basis": "Attributed qualitative statement; excluded from numeric margin comparisons.", "limitations": "Reuters sources; no public profit amount.", "original_text": "Reuters reported over $1B realized 2024 revenue and profitability, citing sources; no public financial statements", "evidence_assurance": "Independent reporting citing unnamed sources", "is_context": true, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "FY2024 · statement · AI business / service line · Source-defined measure", "cohort_label": "FY2024 · statement · AI business / service line · Source-defined measure", "cohort_key": "profitability_statement|annual|2024|2024-12-31||ai_data|not_applicable" }, { "id": "dashboard.afterquery.claim.round2-financial-signal-2", "company_id": "afterquery", "signal": "profit", "measure": "profitability_statement", "label": "Reported profitable", "value": null, "unit": "statement", "qualifier": "exact", "as_of": "2026-09-01", "period": { "type": "snapshot", "label": "1 Sep 2026", "year": 2026 }, "scope": "company", "accounting_basis": "not_applicable", "evidence_type": "reported", "claim_ids": [ "afterquery.claim.round2-financial-signal-2" ], "metric_ids": [], "source_ids": [ "afterquery.source.round2-forbes_september" ], "basis": "Attributed qualitative statement; excluded from numeric margin comparisons.", "limitations": "Forbes unnamed source; company declined comment. No profit amount, margin or financial period.", "original_text": "Profitability: Reported profitable. Forbes unnamed source; company declined comment in that report.\nCaveat: No exact amount is established, so no numeric revenue or profitability metric is derived.", "evidence_assurance": "Forbes-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · statement · Whole company · Source-defined measure", "cohort_label": "Dated snapshots · statement · Whole company · Source-defined measure", "cohort_key": "profitability_statement|snapshot|2026|||company|not_applicable" }, { "id": "taskus.metric.expansion-14", "company_id": "taskus", "signal": "customers", "measure": "net_revenue_retention", "label": "Group net revenue retention", "value": 113, "unit": "percent", "qualifier": "exact", "as_of": "FY2025", "period": { "type": "annual", "label": "FY2025", "year": 2025, "start": "2025-01-01", "end": "2025-12-31" }, "scope": "company", "accounting_basis": "company_defined_nrr", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-14-metric" ], "metric_ids": [ "taskus.metric.expansion-14" ], "source_ids": [ "taskus.source.fyrelease" ], "basis": "Net revenue retention: 113 percent. FY2025.", "limitations": "TaskUs consolidated group, not an AI Services-only cohort. Company-defined NRR; customer counts alone do not establish retention.", "original_text": "Net revenue retention: 113%. FY2025.", "evidence_assurance": "Issuer-reported earnings release", "normalization": "The original claim text says 113 USD. The source reports 113%. Shown as a percent, not money.", "is_context": false, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "FY2025 · percent · Whole company · company defined nrr", "cohort_label": "FY2025 · percent · Whole company · company defined nrr", "cohort_key": "net_revenue_retention|annual|2025|2025-12-31||company|company_defined_nrr" }, { "id": "appen.metric.major-growth_metrics-8", "company_id": "appen", "signal": "customers", "measure": "top_five_customer_share", "label": "Top-five customer revenue share", "value": 67.9, "unit": "percent", "qualifier": "exact", "as_of": "H1 2026", "period": { "type": "half_year", "label": "H1 2026", "year": 2026, "start": "2026-01-01", "end": "2026-06-30" }, "scope": "company", "accounting_basis": "revenue_concentration", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-growth_metrics-8-metric" ], "metric_ids": [ "appen.metric.major-growth_metrics-8" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Top-five customer revenue concentration: 67.9 percent. Period: H1 2026.", "limitations": "Concentration measures dependence, not customer satisfaction. Top-five and largest-customer shares are different metrics.", "original_text": "Top-five customer revenue concentration: 67.9 percent. Period: H1 2026.", "evidence_assurance": "Attributed public statement", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "H1 2026 · percent · Whole company · revenue concentration", "cohort_label": "H1 2026 · percent · Whole company · revenue concentration", "cohort_key": "top_five_customer_share|half_year|2026|2026-06-30||company|revenue_concentration" }, { "id": "taskus.metric.expansion-13", "company_id": "taskus", "signal": "customers", "measure": "customer_count", "label": "Clients", "value": 200, "unit": "count", "qualifier": "approximate", "as_of": "as of 2025-12-31", "period": { "type": "snapshot", "label": "as of 2025-12-31" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-13-metric" ], "metric_ids": [ "taskus.metric.expansion-13" ], "source_ids": [ "taskus.source.fyrelease" ], "basis": "Clients: 200. As of 2025-12-31.", "limitations": "Public organization/customer count is a reach proxy. Paid status, current activity and measurement period may be unspecified; not an NRR substitute.", "original_text": "Clients: 200. As of 2025-12-31.", "evidence_assurance": "Issuer-reported earnings release", "is_context": true, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_key": "customer_count|snapshot|undated|||company|unspecified" }, { "id": "prime_intellect.metric.audit-pi-customers", "company_id": "prime_intellect", "signal": "customers", "measure": "customer_count", "label": "Customers", "value": 6000.0, "unit": "count", "qualifier": "at_least", "as_of": "2026-07-08", "period": { "type": "snapshot", "label": "2026-07-08" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "prime_intellect.claim.oct14-metric-0-customer-count" ], "metric_ids": [ "prime_intellect.metric.audit-pi-customers" ], "source_ids": [ "prime_intellect.source.oct14-13f8e60149ba" ], "basis": "Across infrastructure stack.", "limitations": "Public organization/customer count is a reach proxy. Paid status, current activity and measurement period may be unspecified; not an NRR substitute.", "original_text": "Customers: 6,000+. Across infrastructure stack.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Prime Intellect infrastructure platform; includes compute", "cohort": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_key": "customer_count|snapshot|undated|||company|unspecified" }, { "id": "prolific.metric.audit-4", "company_id": "prolific", "signal": "customers", "measure": "customer_count", "label": "Organizations", "value": 10000.0, "unit": "count", "qualifier": "at_least", "as_of": "undated", "period": { "type": "snapshot", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "prolific.claim.oct14-metric-1-customer-organization-count" ], "metric_ids": [ "prolific.metric.audit-4" ], "source_ids": [ "prolific.source.oct14-c6d6a9d99551" ], "basis": "Worldwide platform use.", "limitations": "Public organization/customer count is a reach proxy. Paid status, current activity and measurement period may be unspecified; not an NRR substitute.", "original_text": "Organizations: 10,000+. Worldwide platform use.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Prolific platform; includes research outside AI data", "cohort": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_key": "customer_count|snapshot|undated|||company|unspecified" }, { "id": "a-team.metric.oct14-1-customer-count", "company_id": "a-team", "signal": "customers", "measure": "customer_count", "label": "Clients", "value": 500.0, "unit": "count", "qualifier": "at_least", "as_of": "undated", "period": { "type": "snapshot", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "a-team.claim.oct14-metric-1-customer-count" ], "metric_ids": [ "a-team.metric.oct14-1-customer-count" ], "source_ids": [ "a-team.source.oct14-8b238e25b32a" ], "basis": "Cumulative clients; period unspecified.", "limitations": "Public organization/customer count is a reach proxy. Paid status, current activity and measurement period may be unspecified; not an NRR substitute.", "original_text": "Clients: 500+. Cumulative clients; period unspecified.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_key": "customer_count|snapshot|undated|||company|unspecified" }, { "id": "hackerrank.metric.oct14-3-historical-customer-count", "company_id": "hackerrank", "signal": "customers", "measure": "customer_count", "label": "Companies served", "value": 2500.0, "unit": "count", "qualifier": "at_least", "as_of": "undated", "period": { "type": "snapshot", "label": "undated" }, "scope": "other_segment", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "hackerrank.claim.oct14-metric-3-historical-customer-count" ], "metric_ids": [ "hackerrank.metric.oct14-3-historical-customer-count" ], "source_ids": [ "hackerrank.source.oct14-e4bef47eecf7" ], "basis": "Historical count for the parent technical hiring business.", "limitations": "Public organization/customer count is a reach proxy. Paid status, current activity and measurement period may be unspecified; not an NRR substitute.", "original_text": "Companies served: 2,500+. Historical count for the parent technical hiring business.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Other or mixed segment", "scope_detail": "HackerRank parent assessment platform; not Bench AI-data customers", "cohort": "Dated snapshots · count · Other or mixed segment · Gross/net undisclosed", "cohort_label": "Dated snapshots · count · Other or mixed segment · Gross/net undisclosed", "cohort_key": "customer_count|snapshot|undated|||other_segment|unspecified" }, { "id": "labelbox.metric.major-growth_metrics-0", "company_id": "labelbox", "signal": "customers", "measure": "customer_count", "label": "Customers", "value": 37, "unit": "count", "qualifier": "exact", "as_of": "2018-12", "period": { "type": "snapshot", "label": "2018-12" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "labelbox.claim.major-growth_metrics-0-metric" ], "metric_ids": [ "labelbox.metric.major-growth_metrics-0" ], "source_ids": [ "labelbox.source.audit-lb_firstround" ], "basis": "Customers: 37 organizations. Period: 2018-12.", "limitations": "Public organization/customer count is a reach proxy. Paid status, current activity and measurement period may be unspecified; not an NRR substitute.", "original_text": "Customers: 37 organizations. Period: 2018-12.", "evidence_assurance": "Founder-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · count · Whole company · Gross/net undisclosed", "cohort_key": "customer_count|snapshot|undated|||company|unspecified" }, { "id": "mercor.metric.major-growth_metrics-6", "company_id": "mercor", "signal": "delivery", "measure": "daily_expert_payouts", "label": "Daily expert payouts", "value": 4000000, "unit": "currency", "qualifier": "greater_than", "as_of": "2026-07-21", "period": { "type": "daily", "label": "21 Jul 2026 snapshot", "year": 2026 }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "mercor.claim.major-growth_metrics-6-metric" ], "metric_ids": [ "mercor.metric.major-growth_metrics-6" ], "source_ids": [ "mercor.source.audit-audit_m18" ], "basis": "Payouts are an operating-volume measure, not retained revenue.", "limitations": "One dated daily payout claim. Not a period average, retained revenue or a gross-margin input; annualizing it requires an assumption.", "original_text": "Daily expert payouts: 4,000,000 USD. Period: 2026-07-21.", "evidence_assurance": "Investor-published company claim", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "21 Jul 2026 snapshot · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "21 Jul 2026 snapshot · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "daily_expert_payouts|daily|2026||USD|ai_data|unspecified" }, { "id": "terac.metric.audit-terac-payout", "company_id": "terac", "signal": "delivery", "measure": "cumulative_expert_payouts", "label": "Cumulative expert payouts", "value": 2500000, "unit": "currency", "qualifier": "at_least", "as_of": "undated", "period": { "type": "cumulative", "label": "Lifetime · date undisclosed" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "terac.claim.audit-terac-payout-metric" ], "metric_ids": [ "terac.metric.audit-terac-payout" ], "source_ids": [ "terac.source.terac-1" ], "basis": "About page reports $2.5M+ paid to experts, 10,000+ hours of expert work and 500+ opportunities to date. These are payouts/work metrics, not revenue or ARR.", "limitations": "Lifetime cumulative payouts, not annual revenue or a current daily/monthly delivery rate.", "original_text": "Cumulative expert payouts, above $2.5m.", "evidence_assurance": "Issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently verified.", "currency": "USD", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "Lifetime · date undisclosed · USD · AI business / service line · Gross/net undisclosed", "cohort_label": "Lifetime · date undisclosed · USD · AI business / service line · Gross/net undisclosed", "cohort_key": "cumulative_expert_payouts|cumulative|undated||USD|ai_data|unspecified" }, { "id": "datacurve.metric.oct14-0-contributor-payouts", "company_id": "datacurve", "signal": "delivery", "measure": "cumulative_expert_payouts", "label": "Cumulative Shipd contributor payouts", "value": 1000000.0, "unit": "currency", "qualifier": "greater_than", "as_of": "2025-10-09", "period": { "type": "cumulative", "label": "To 9 Oct 2025", "year": 2025 }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "datacurve.claim.oct14-metric-0-contributor-payouts" ], "metric_ids": [ "datacurve.metric.oct14-0-contributor-payouts" ], "source_ids": [ "datacurve.source.oct14-9b179f419da7" ], "basis": "Cumulative Shipd bounties paid; historical investor-reported cumulative payouts; not company revenue.", "limitations": "Historical cumulative bounties paid, not current annual payouts or company revenue.", "original_text": "Contributor payouts: more than 1,000,000 USD. Cumulative Shipd bounties paid; historical investor-reported cumulative payouts; not company revenue.", "evidence_assurance": "Investor-reported", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "To 9 Oct 2025 · USD · Whole company · Gross/net undisclosed", "cohort_label": "To 9 Oct 2025 · USD · Whole company · Gross/net undisclosed", "cohort_key": "cumulative_expert_payouts|cumulative|2025||USD|company|unspecified" }, { "id": "prolific.metric.audit-3", "company_id": "prolific", "signal": "delivery", "measure": "cumulative_expert_payouts", "label": "Cumulative participant payouts", "value": 500000000, "unit": "currency", "qualifier": "at_least", "as_of": "2026-05 (inferred)", "period": { "type": "cumulative", "label": "To May 2026 · month inferred", "year": 2026 }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "prolific.claim.audit-3-metric" ], "metric_ids": [ "prolific.metric.audit-3" ], "source_ids": [ "prolific.source.audit-f1a6aacb51" ], "basis": "Lifetime payments to participants; not annual revenue, funding or active-worker count.", "limitations": "CEO-reported lifetime payments; participant work includes research beyond specialist AI data. Calendar month inferred from post timestamp.", "original_text": "CEO Phelim Bradley reported that Prolific had crossed $300M annualized revenue in the previous month and completed a $10M revenue week. He separately projected $500M annualized revenue by end-May and said cumulative participant payouts exceeded $500M. The target is a forecast; payouts are neither revenue nor funding.", "evidence_assurance": "CEO-reported operating figures; unaudited", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Prolific platform; includes research outside AI data", "cohort": "To May 2026 · month inferred · USD · Whole company · Gross/net undisclosed", "cohort_label": "To May 2026 · month inferred · USD · Whole company · Gross/net undisclosed", "cohort_key": "cumulative_expert_payouts|cumulative|2026||USD|company|unspecified" }, { "id": "g2i.metric.audit-g2i-payout", "company_id": "g2i", "signal": "delivery", "measure": "payouts_period_unclear", "label": "Engineer payouts labelled 2026", "value": 50000000, "unit": "other", "qualifier": "exact", "as_of": "2026", "period": { "type": "unclear", "label": "2026 · actual/forecast basis unclear", "year": 2026 }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "g2i.claim.audit-g2i-payout-metric" ], "metric_ids": [ "g2i.metric.audit-g2i-payout" ], "source_ids": [ "g2i.source.g2i-1" ], "basis": "AI company page labels $50M as paid to engineers in 2026. The undated page does not clarify year-to-date actual versus full-year expectation; this is worker payout, not revenue.", "limitations": "Undated page does not distinguish year-to-date actual from full-year expectation. Not comparable with annual payout figures.", "original_text": "Reported 2026 engineer payouts; period/basis unclear.", "evidence_assurance": "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.", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "2026 · actual/forecast basis unclear · other · Whole company · Gross/net undisclosed", "cohort_label": "2026 · actual/forecast basis unclear · other · Whole company · Gross/net undisclosed", "cohort_key": "payouts_period_unclear|unclear|2026|||company|unspecified" }, { "id": "dashboard.terac.cumulative-work-hours", "company_id": "terac", "signal": "delivery", "measure": "cumulative_work_hours", "label": "Cumulative expert work hours", "value": 10000, "unit": "hours", "qualifier": "at_least", "as_of": "undated", "period": { "type": "cumulative", "label": "Lifetime · date undisclosed" }, "scope": "ai_data", "accounting_basis": "not_applicable", "evidence_type": "reported", "claim_ids": [ "terac.claim.audit-terac-payout-metric" ], "metric_ids": [], "source_ids": [ "terac.source.terac-1" ], "basis": "10,000+ hours retained in the original claim caveat and associated metric basis.", "limitations": "Cumulative company-reported work hours; no time window, acceptance rate, utilization or active paid-worker count.", "original_text": "Cumulative expert payouts, above $2.5m.\nCaveat: Not revenue, ARR or funding. 10,000+ expert-work hours and 500+ opportunities are additional delivery measures.", "evidence_assurance": "Issuer-reported. Official organization-authored public source; claim remains attributed to the issuer and is not independently verified.", "is_context": false, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "Lifetime · date undisclosed · hours · AI business / service line · Source-defined measure", "cohort_label": "Lifetime · date undisclosed · hours · AI business / service line · Source-defined measure", "cohort_key": "cumulative_work_hours|cumulative|undated|||ai_data|not_applicable" }, { "id": "mercor.metric.major-growth_metrics-4", "company_id": "mercor", "signal": "delivery", "measure": "network_reach", "label": "Registered domain-expert network", "value": 5000000, "unit": "people", "qualifier": "greater_than", "as_of": "2026-07-09", "period": { "type": "snapshot", "label": "2026-07-09" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "mercor.claim.major-growth_metrics-4-metric" ], "metric_ids": [ "mercor.metric.major-growth_metrics-4" ], "source_ids": [ "mercor.source.audit-audit_m16" ], "basis": "Network membership; not employees or currently paid contributors.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Registered domain-expert network: 5,000,000 people. Period: 2026-07-09.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|snapshot|undated|||company|unspecified" }, { "id": "labelbox.metric.major-growth_metrics-2", "company_id": "labelbox", "signal": "delivery", "measure": "network_reach", "label": "Alignerr knowledge contributors", "value": 2600000, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "labelbox.claim.major-growth_metrics-2-metric" ], "metric_ids": [ "labelbox.metric.major-growth_metrics-2" ], "source_ids": [ "labelbox.source.audit-lb_alignerr" ], "basis": "Network population, not active paid workers, completed projects or revenue.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Alignerr knowledge contributors: 2,600,000 people. Period: undated page observed 2026-10-12.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "turing.metric.major-growth_metrics-4", "company_id": "turing", "signal": "delivery", "measure": "network_reach", "label": "Talent-cloud network", "value": 4000000, "unit": "people", "qualifier": "greater_than", "as_of": "2025-03-06", "period": { "type": "snapshot", "label": "2025-03-06" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "turing.claim.major-growth_metrics-4-metric" ], "metric_ids": [ "turing.metric.major-growth_metrics-4" ], "source_ids": [ "turing.source.audit-t1" ], "basis": "Network size, not employees or active AI-data contributors.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Talent-cloud network: 4,000,000 people. Period: 2025-03-06.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|snapshot|undated|||company|unspecified" }, { "id": "surge_ai.metric.audit-0", "company_id": "surge_ai", "signal": "delivery", "measure": "network_reach", "label": "Advertised PhD network", "value": 200000, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "surge_ai.claim.audit-0-metric" ], "metric_ids": [ "surge_ai.metric.audit-0" ], "source_ids": [ "surge_ai.source.audit-381ee9c6d1" ], "basis": "PhDs in network per company; not employees or monthly-active paid experts", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Surge's workforce page advertises a network including 200,000+ PhDs, 80+ languages and 500+ disciplines. These are issuer marketing claims, without an active-paid-worker definition. The products page still says 70+ languages; the page snapshots differ and do not form a growth series.", "evidence_assurance": "Issuer-reported network reach", "is_context": true, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "undated · people · AI business / service line · Gross/net undisclosed", "cohort_label": "undated · people · AI business / service line · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||ai_data|unspecified" }, { "id": "afterquery.metric.oct14-2-expert-network", "company_id": "afterquery", "signal": "delivery", "measure": "network_reach", "label": "Expert network", "value": 300000.0, "unit": "people", "qualifier": "greater_than", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "afterquery.claim.oct14-metric-2-expert-network" ], "metric_ids": [ "afterquery.metric.oct14-2-expert-network" ], "source_ids": [ "afterquery.source.oct14-b2ce6bb6c166" ], "basis": "Professional-domain data network. Undated current webpage observed 2026-10-14.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Expert network: more than 300,000 verified practitioners. Professional-domain data network. Undated current webpage observed 2026-10-14.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "prolific.metric.audit-5", "company_id": "prolific", "signal": "delivery", "measure": "network_reach", "label": "Active verified participants, company definition", "value": 300000, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "prolific.claim.audit-5-metric" ], "metric_ids": [ "prolific.metric.audit-5" ], "source_ids": [ "prolific.source.audit-c6d6a9d995" ], "basis": "Not all specialist annotators and not a count of monthly-active paid workers", "limitations": "Company calls these active verified participants, but supplies no common monthly paid-work definition; not all AI specialists.", "original_text": "Current About page states 300,000+ active verified participants, 35,000+ data collectors, 10,000+ organizations, 700+ studies daily and 97% completion. These are company-wide platform claims, not all AI customers or active paid experts; page gives no observation period or independent audit.", "evidence_assurance": "Issuer platform scale", "is_context": true, "scope_label": "Whole company", "scope_detail": "Prolific platform; includes research outside AI data", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "terac.metric.oct14-0-registered-expert-pool", "company_id": "terac", "signal": "delivery", "measure": "network_reach", "label": "Registered experts", "value": 160000.0, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "terac.claim.oct14-metric-0-registered-expert-pool" ], "metric_ids": [ "terac.metric.oct14-0-registered-expert-pool" ], "source_ids": [ "terac.source.oct14-212d67d8f64a" ], "basis": "Registrations, not verified active paid workers.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Registered experts: 160,000+. Registrations, not verified active paid workers.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "toloka.metric.oct14-0-expert-and-annotator-pool", "company_id": "toloka", "signal": "delivery", "measure": "network_reach", "label": "Experts and annotators", "value": 200000.0, "unit": "people", "qualifier": "at_least", "as_of": "2025-05-06", "period": { "type": "snapshot", "label": "2025-05-06" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "toloka.claim.oct14-metric-0-expert-and-annotator-pool" ], "metric_ids": [ "toloka.metric.oct14-0-expert-and-annotator-pool" ], "source_ids": [ "toloka.source.oct14-d2ffdb490494" ], "basis": "Platform-managed network, not employees.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Experts and annotators: 200,000+. Platform-managed network, not employees.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Toloka business in parent disclosures", "cohort": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|snapshot|undated|||company|unspecified" }, { "id": "imerit.metric.expansion-imerit-expert-network", "company_id": "imerit", "signal": "delivery", "measure": "network_reach", "label": "25,000+ domain experts in 60+ countries", "value": 25000, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "imerit.claim.expansion-imerit-expert-network-metric" ], "metric_ids": [ "imerit.metric.expansion-imerit-expert-network" ], "source_ids": [ "imerit.source.audit-im-home" ], "basis": "Undated current website claim, observed October 12. Network membership is not payroll, active assignments, or unique workers deployed in a period.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "25,000+ domain experts in 60+ countries in the Scholars network.", "evidence_assurance": "Undated issuer-reported expert-network size", "is_context": true, "scope_label": "Whole company", "scope_detail": "iMerit standalone business; not EXL consolidated group", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "rws_trainai.metric.oct14-0-freelance-community", "company_id": "rws_trainai", "signal": "delivery", "measure": "network_reach", "label": "Vetted AI data specialists", "value": 100000.0, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "rws_trainai.claim.oct14-metric-0-freelance-community" ], "metric_ids": [ "rws_trainai.metric.oct14-0-freelance-community" ], "source_ids": [ "rws_trainai.source.oct14-13fae6ad835a" ], "basis": "TrainAI freelance pool; active term supplied by company.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Vetted AI data specialists: 100,000+. TrainAI freelance pool; active term supplied by company.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "AI business / service line", "scope_detail": "TrainAI specialist community", "cohort": "undated · people · AI business / service line · Gross/net undisclosed", "cohort_label": "undated · people · AI business / service line · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||ai_data|unspecified" }, { "id": "a-team.metric.audit-ateam-scope", "company_id": "a-team", "signal": "delivery", "measure": "network_reach", "label": "Vetted experts", "value": 11000.0, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "a-team.claim.oct14-metric-0-talent-network" ], "metric_ids": [ "a-team.metric.audit-ateam-scope" ], "source_ids": [ "a-team.source.oct14-8b238e25b32a" ], "basis": "A.Team network.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Vetted experts: 11,000+. A.Team network.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "g2i.metric.oct14-1-talent-network", "company_id": "g2i", "signal": "delivery", "measure": "network_reach", "label": "Engineer bench", "value": 8000.0, "unit": "people", "qualifier": "exact", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "g2i.claim.oct14-metric-1-talent-network" ], "metric_ids": [ "g2i.metric.oct14-1-talent-network" ], "source_ids": [ "g2i.source.oct14-af1d2bd4e5c5" ], "basis": "Engineers on bench, not all currently active on projects.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Engineer bench: 8,000. Engineers on bench, not all currently active on projects.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "datacurve.metric.specialist-13", "company_id": "datacurve", "signal": "delivery", "measure": "network_reach", "label": "Organic engineer signups", "value": 16000, "unit": "people", "qualifier": "at_least", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "datacurve.claim.specialist-13-metric" ], "metric_ids": [ "datacurve.metric.specialist-13" ], "source_ids": [ "datacurve.source.audit-dc-growth" ], "basis": "Signups, not approved/active/paid contributors", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Organic engineer signups: 16,000 people. Signups, not approved/active/paid contributors", "evidence_assurance": "Employer-reported contributor signups; undated", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "abundant_ai.metric.oct14-2-expert-network", "company_id": "abundant_ai", "signal": "delivery", "measure": "network_reach", "label": "Expert network", "value": 500.0, "unit": "people", "qualifier": "greater_than", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "abundant_ai.claim.oct14-metric-2-expert-network" ], "metric_ids": [ "abundant_ai.metric.oct14-2-expert-network" ], "source_ids": [ "abundant_ai.source.oct14-067020eb5abd" ], "basis": "Exclusive global domain-expert network.", "limitations": "Context only: company-defined network, registered/vetted pool or signups. Not comparable monthly active paid experts, employee count, utilization or accepted delivery.", "original_text": "Expert network: more than 500 experts. Exclusive global domain-expert network.", "evidence_assurance": "Investor-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "network_reach|undated|undated|||company|unspecified" }, { "id": "appen.metric.major-financial_metrics-11", "company_id": "appen", "signal": "cash", "measure": "cash_balance", "label": "Cash and cash equivalents", "value": 44705000, "unit": "currency", "qualifier": "exact", "as_of": "2026-06-30", "period": { "type": "snapshot", "label": "30 Jun 2026", "year": 2026, "end": "2026-06-30" }, "scope": "company", "accounting_basis": "cash_and_equivalents", "evidence_type": "reported", "claim_ids": [ "appen.claim.major-financial_metrics-11-metric" ], "metric_ids": [ "appen.metric.major-financial_metrics-11" ], "source_ids": [ "appen.source.audit-ap_h1_2026" ], "basis": "Cash and cash equivalents: 44,705,000 USD. Period: 2026-06-30.", "limitations": "Balance-sheet cash is not runway. Operating cash flow, restrictions, debt and future burn are needed before estimating runway.", "original_text": "Cash and cash equivalents: 44,705,000 USD. Period: 2026-06-30.", "evidence_assurance": "Attributed public statement", "currency": "USD", "is_context": false, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · USD · Whole company · cash and equivalents", "cohort_label": "Dated snapshots · USD · Whole company · cash and equivalents", "cohort_key": "cash_balance|snapshot|2026|2026-06-30|USD|company|cash_and_equivalents" }, { "id": "dashboard.rws.h1-2026-net-debt", "company_id": "rws_trainai", "signal": "cash", "measure": "net_debt", "label": "Group net debt", "value": 32500000, "unit": "currency", "qualifier": "exact", "as_of": "H1 FY2026", "period": { "type": "snapshot", "label": "31 Mar 2026", "year": 2026, "end": "2026-03-31" }, "scope": "company", "accounting_basis": "net_debt", "evidence_type": "reported", "claim_ids": [ "rws_trainai.claim.growth_metrics-0" ], "metric_ids": [], "source_ids": [ "rws_trainai.source.d_rws4" ], "basis": "Net debt parsed from the reviewed RWS group half-year claim.", "limitations": "Net debt is debt less qualifying cash under the issuer definition. It is not gross cash, cash burn or runway; group, not TrainAI.", "original_text": "Six months ended March 31, 2026: RWS group actual revenue £360.3m, +5% reported; adjusted EBITDA £45.7m; reported pre-tax loss £9.5m; net debt £32.5m. Group figures, not TrainAI revenues.", "evidence_assurance": "Graded by the researchers as independent or buyer-side evidence.", "currency": "GBP", "is_context": false, "scope_label": "Whole company", "scope_detail": "RWS parent group; not standalone TrainAI", "cohort": "Dated snapshots · GBP · Whole company · net debt", "cohort_label": "Dated snapshots · GBP · Whole company · net debt", "cohort_key": "net_debt|snapshot|2026|2026-03-31|GBP|company|net_debt" }, { "id": "proximal.claim.growth_metrics-1.metric-0", "company_id": "proximal", "signal": "cash", "measure": "team_size", "label": "Reported team size", "value": 40, "unit": "people", "qualifier": "exact", "as_of": "2026-09-29", "period": { "type": "snapshot", "label": "2026-09-29" }, "scope": "ai_data", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "proximal.claim.growth_metrics-1" ], "metric_ids": [ "proximal.claim.growth_metrics-1.metric-0" ], "source_ids": [ "proximal.source.b_px2" ], "basis": "Dealroom says calculation is quarter-to-date revenue multiplied by four; 40-person team and approximately ten months from negligible revenue", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "Dealroom says calculation is quarter-to-date revenue multiplied by four; 40-person team and approximately ten months from negligible revenue", "evidence_assurance": "Secondary reporting or indirect evidence, graded by the researchers as credible secondary reporting.", "is_context": true, "scope_label": "AI business / service line", "scope_detail": "AI business / service line", "cohort": "Dated snapshots · people · AI business / service line · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · AI business / service line · Gross/net undisclosed", "cohort_key": "team_size|snapshot|undated|||ai_data|unspecified" }, { "id": "apto.claim.growth_metrics-0-dated_headcount.metric-0", "company_id": "apto", "signal": "cash", "measure": "team_size", "label": "Employees", "value": 30.0, "unit": "people", "qualifier": "exact", "as_of": "2025-01", "period": { "type": "snapshot", "label": "2025-01" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "apto.claim.oct14-metric-0-employee-count" ], "metric_ids": [ "apto.claim.growth_metrics-0-dated_headcount.metric-0" ], "source_ids": [ "apto.source.oct14-62780bc97df6" ], "basis": "APTO company employees; not an annotator network count.", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "Employees: 30. APTO company employees; not an annotator network count.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|snapshot|undated|||company|unspecified" }, { "id": "elorian.metric.core-elorian.claim.growth_metrics-0.metric-0", "company_id": "elorian", "signal": "cash", "measure": "team_size", "label": "Scientists and engineers (employer snapshot)", "value": 20, "unit": "people", "qualifier": "approximate", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "elorian.claim.core-elorian.claim.growth_metrics-0.metric-0-metric" ], "metric_ids": [ "elorian.metric.core-elorian.claim.growth_metrics-0.metric-0" ], "source_ids": [ "elorian.source.elorian-3" ], "basis": "Safety-contractor listing describes approximately 20 scientists/engineers. This is an employer snapshot, not active-contractor count or a revenue measure.", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "Safety-contractor listing describes approximately 20 scientists/engineers. This is an employer snapshot, not active-contractor count or a revenue measure.", "evidence_assurance": "Graded by the researchers as an attributed company, investor, or named primary statement.", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|undated|undated|||company|unspecified" }, { "id": "ooak.metric.audit-ooak-headcount-scope", "company_id": "ooak", "signal": "cash", "measure": "team_size", "label": "YC-listed team", "value": 5, "unit": "people", "qualifier": "exact", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "ooak.claim.audit-ooak-headcount-scope-metric" ], "metric_ids": [ "ooak.metric.audit-ooak-headcount-scope" ], "source_ids": [ "ooak.source.ooak-2" ], "basis": "YC company metadata lists five people; this is a directory snapshot, not a verified current payroll count.", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "YC-listed team: 5 people. Undated profile snapshot observed 2026-10-12.", "evidence_assurance": "Issuer-reported. YC company profile snapshot supplies team size; not employment or payroll records.", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|undated|undated|||company|unspecified" }, { "id": "terac.metric.audit-terac-size", "company_id": "terac", "signal": "cash", "measure": "team_size", "label": "Employees", "value": 16.0, "unit": "people", "qualifier": "exact", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "terac.claim.oct14-metric-3-employee-count" ], "metric_ids": [ "terac.metric.audit-terac-size" ], "source_ids": [ "terac.source.oct14-a174edbe701b" ], "basis": "San Francisco team.", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "Employees: 16. San Francisco team.", "evidence_assurance": "Company-reported", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|undated|undated|||company|unspecified" }, { "id": "polymath_ai_labs.metric.specialist-6", "company_id": "polymath_ai_labs", "signal": "cash", "measure": "team_size", "label": "YC-listed team", "value": 6, "unit": "people", "qualifier": "exact", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "polymath_ai_labs.claim.specialist-6-metric" ], "metric_ids": [ "polymath_ai_labs.metric.specialist-6" ], "source_ids": [ "polymath_ai_labs.source.audit-pm-yc" ], "basis": "Undated profile snapshot observed 2026-10-12", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "YC-listed team: 6 people. Undated profile snapshot observed 2026-10-12", "evidence_assurance": "Accelerator profile headcount snapshot", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|undated|undated|||company|unspecified" }, { "id": "datacurve.metric.specialist-14", "company_id": "datacurve", "signal": "cash", "measure": "team_size", "label": "YC-listed team", "value": 25, "unit": "people", "qualifier": "exact", "as_of": "undated", "period": { "type": "undated", "label": "undated" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "datacurve.claim.specialist-14-metric" ], "metric_ids": [ "datacurve.metric.specialist-14" ], "source_ids": [ "datacurve.source.audit-dc-yc" ], "basis": "Undated profile observed 2026-10-12", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "YC-listed team: 25 people. Undated profile observed 2026-10-12", "evidence_assurance": "Accelerator profile headcount snapshot", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "undated · people · Whole company · Gross/net undisclosed", "cohort_label": "undated · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|undated|undated|||company|unspecified" }, { "id": "invisible.metric.major-growth_metrics-1", "company_id": "invisible", "signal": "cash", "measure": "team_size", "label": "Employees", "value": 350, "unit": "people", "qualifier": "exact", "as_of": "2025-09", "period": { "type": "snapshot", "label": "2025-09" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "invisible.claim.major-growth_metrics-1-metric" ], "metric_ids": [ "invisible.metric.major-growth_metrics-1" ], "source_ids": [ "invisible.source.audit-inv_round" ], "basis": "Employees: 350 people. Period: 2025-09.", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "Employees: 350 people. Period: 2025-09.", "evidence_assurance": "Attributed public statement", "is_context": true, "scope_label": "Whole company", "scope_detail": "Whole company", "cohort": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|snapshot|undated|||company|unspecified" }, { "id": "imerit.metric.expansion-imerit-fte", "company_id": "imerit", "signal": "cash", "measure": "team_size", "label": "Approximately 3,600 transferring full-time employees", "value": 3600, "unit": "people", "qualifier": "approximate", "as_of": "2026-06-24", "period": { "type": "snapshot", "label": "2026-06-24" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "imerit.claim.expansion-imerit-fte-metric" ], "metric_ids": [ "imerit.metric.expansion-imerit-fte" ], "source_ids": [ "imerit.source.audit-im-transcript" ], "basis": "Dated acquirer statement; Scholars separately described as independent contractors. Not a certified post-close total for October 2026.", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "Approximately 3,600 transferring full-time employees. These are iMerit employees expected to transition at acquisition closing.", "evidence_assurance": "Acquirer-disclosed expected employee transfer count", "is_context": true, "scope_label": "Whole company", "scope_detail": "iMerit standalone business; not EXL consolidated group", "cohort": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|snapshot|undated|||company|unspecified" }, { "id": "taskus.metric.expansion-12", "company_id": "taskus", "signal": "cash", "measure": "team_size", "label": "Headcount", "value": 63200, "unit": "people", "qualifier": "approximate", "as_of": "as of 2026-06-30", "period": { "type": "snapshot", "label": "as of 2026-06-30" }, "scope": "company", "accounting_basis": "unspecified", "evidence_type": "reported", "claim_ids": [ "taskus.claim.expansion-12-metric" ], "metric_ids": [ "taskus.metric.expansion-12" ], "source_ids": [ "taskus.source.q22026" ], "basis": "Headcount: 63,200 people. As of 2026-06-30. Teammates, not all data annotators or all full-time employees.", "limitations": "Cost-base context only. Dated payroll, employer/directory snapshots and teammates have different definitions; excludes unknown contractor labor. Headcount is not growth, efficiency or cash runway.", "original_text": "Headcount: 63,200 people. As of 2026-06-30. Teammates, not all data annotators or all full-time employees.", "evidence_assurance": "Issuer-reported; unaudited quarterly results", "is_context": true, "scope_label": "Whole company", "scope_detail": "TaskUs consolidated group; not AI Services alone", "cohort": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_label": "Dated snapshots · people · Whole company · Gross/net undisclosed", "cohort_key": "team_size|snapshot|undated|||company|unspecified" } ], "measure_definitions": [ { "id": "period_revenue", "signal": "revenue", "label": "Revenue over a completed period", "unit": "currency", "note": "Completed years, half-years and trailing years are separate cohorts." }, { "id": "annualized_revenue", "signal": "revenue", "label": "Annualized revenue snapshots", "unit": "currency", "note": "Dated pace; not recognized annual revenue or proven recurring ARR." }, { "id": "revenue_growth_yoy", "signal": "revenue", "label": "Year-over-year revenue growth", "unit": "percent", "note": "Matching revenue periods and scope; source-reported and calculated figures retain their distinction." }, { "id": "net_income", "signal": "profit", "label": "Statutory net income / loss", "unit": "currency", "note": "After-tax profit or loss, kept separate from adjusted EBITDA." }, { "id": "net_margin", "signal": "profit", "label": "Statutory net margin", "unit": "percent", "note": "Net income / revenue for the same company scope and period." }, { "id": "adjusted_ebitda", "signal": "profit", "label": "Adjusted EBITDA", "unit": "currency", "note": "Issuer-defined non-GAAP earnings; not statutory profit or cash flow." }, { "id": "adjusted_ebitda_margin", "signal": "profit", "label": "Adjusted EBITDA margin", "unit": "percent", "note": "Issuer-adjusted EBITDA / revenue; not gross margin or statutory net margin." }, { "id": "gross_margin", "signal": "profit", "label": "Gross margin", "unit": "percent", "note": "Revenue after direct cost of sales; source group scope remains explicit." }, { "id": "pretax_income", "signal": "profit", "label": "Reported pre-tax income / loss", "unit": "currency", "note": "Before-tax profit or loss; distinct from net income after tax." }, { "id": "profitability_statement", "signal": "profit", "label": "Attributed profitability statements", "unit": "statement", "note": "Qualitative statements with no comparable numeric profit amount." }, { "id": "net_revenue_retention", "signal": "customers", "label": "Net revenue retention", "unit": "percent", "note": "Repeat-customer revenue, including expansion, under the issuer definition." }, { "id": "top_five_customer_share", "signal": "customers", "label": "Top-five customer revenue share", "unit": "percent", "note": "Higher share means more buyer concentration; not a customer satisfaction score." }, { "id": "customer_count", "signal": "customers", "label": "Reported customer / organization count", "unit": "count", "note": "Reach context; not necessarily active paying customers or repeat demand." }, { "id": "daily_expert_payouts", "signal": "delivery", "label": "Daily expert payouts", "unit": "currency", "note": "One-day operating snapshot; no automatic annualization." }, { "id": "cumulative_expert_payouts", "signal": "delivery", "label": "Cumulative expert / participant payouts", "unit": "currency", "note": "Lifetime volume at different dates; not a current delivery rate." }, { "id": "cumulative_work_hours", "signal": "delivery", "label": "Cumulative delivered work hours", "unit": "hours", "note": "Lifetime work volume; no comparable utilization period." }, { "id": "payouts_period_unclear", "signal": "delivery", "label": "Payout claim with unclear period basis", "unit": "currency", "note": "Context only; actual versus forecast or year-to-date basis is unclear." }, { "id": "network_reach", "signal": "delivery", "label": "Expert network reach", "unit": "people", "note": "Registration/vetting/marketing pool; not comparable monthly active paid experts." }, { "id": "cash_balance", "signal": "cash", "label": "Cash and cash equivalents", "unit": "currency", "note": "Liquidity snapshot; debt, restrictions and forward cash burn are needed to estimate runway." }, { "id": "net_debt", "signal": "cash", "label": "Net debt", "unit": "currency", "note": "Debt less cash under the issuer definition; different from cash on hand." }, { "id": "team_size", "signal": "cash", "label": "Reported team size", "unit": "people", "note": "Employee, teammate and directory snapshots are cost/capacity context, not a health ranking." } ], "sources": [ { "id": "a-team.source.ateam-7", "title": "Freelance developer network A.Team raises $55m", "url": "https://en.globes.co.il/en/article-Freelance-developer-network-ATeam-raises-55m-1001412271", "publisher": "Globes", "source_type": "company", "published_on": "2022-05-17", "accessed_on": "2026-10-12", "retrieval_status": "checked" }, { "id": "a-team.source.oct14-8b238e25b32a", "title": "A.Team: About", "url": 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