Company profile · data as of 2026-10-15
Abundant
Builds simulation environments and datasets that train safer, more capable AI agents.
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- Website
- abundant.ai
- Founded
- 2024
- Primary offering
- Frontier data & RL environments
- Category
- RL environments
- Tags
- RL environments, Simulation, Training data, Coding, Formal verification, Alignment, Physical sciences
- Legal entity
- Abundant, Inc.
What Abundant sells
Builds simulated tasks and training data for AI programs that carry out work.
- Custom RL environments and datasets — Simulation and model-training work for coding and physical science. Also covers recursive self-improvement (models working to improve their own capabilities) and alignment (guiding models toward intended and safe behavior).
- SWE-gen — Turns code changes into verified coding tasks. Rebuilds a buggy starting point from working code to reduce errors caused by broken tests.
- SWE-Marathon — Tests extended software work, including rebuilding libraries and complete applications. Also covers machine-learning engineering.
- TheoremSmith — Creates difficult proof tasks in Lean (software that checks whether mathematical proofs are correct). Uses isolated checks to detect attempts to game rewards.
Headline metrics
| Metric | Value | As of | Source |
|---|---|---|---|
| Expert network | more than 500 | undated | Abundant: /companies/abundant |
| Other metric Benchmark task horizon | more than 30 | 2026-10-13 | Abundant: /blog/theoremsmith/ |
Most recent figure per metric kind. Run rate, ARR, revenue, funding and valuation are kept distinct; estimates and forecasts are marked.
Paid work and open routes
- Careers board — Not published (careers)
- Research Fellow — $14,500 / month (listed)
- Research Product Manager — $120K–285K salary (listed)
Pay labels are quoted as published and may be out of date; check each listing.
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