Vmax
Converts proprietary data into RL environments
Vmax builds RL/eval infrastructure that converts proprietary company data into training environments, including Unix/terminal task environments such as unix-ctf.
unix-ctf environment
| Website | vmax.ai |
|---|---|
| Domains | Machine Learning, Custom Environments |
| Location | San Francisco, New York |
| Team size | 1-10 |
| Founders | Matthew Sargent, Augustine Mavor-Parker |
Similar startups
Also listed under Machine Learning, Custom Environments.
| Name | Domains | Location | Team | Funding | Raising |
|---|---|---|---|---|---|
| Rise Data Labs US-based expert human data and custom RL environments for enterprise AI | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments | United States | - | - | Yes |
| AIChamp Custom enterprise-workflow RL environments with expert grading | Enterprise, Long Horizon, Custom Environments | San Francisco | 1-10 | - | - |
| Applied Compute Ex-OpenAI trio applying RL to build specialist enterprise models | Enterprise, Machine Learning, Custom Environments | San Francisco | 11-25 | $80M total at $700M valuation (Oct 2025) | Yes |
| Artificial Analysis Independent benchmarking of AI models across intelligence, speed, and price | Multi-Domain, Machine Learning | San Francisco | 11-25 | $2.6M (2024) | - |
| Bespoke Labs Data curation and RL environment recipes from ex-Google DeepMind researchers | Coding, Machine Learning | Mountain View, Menlo Park, Bangalore, San Francisco | 11-25 | ~$40M (reported) | - |
| Collinear Enterprise simulation, judges, and long-horizon trajectory generation | Enterprise, Long Horizon, Machine Learning, Simulation | Mountain View, Sunnyvale | 11-25 | - | - |