Environment Hub
Catalog of environments for reinforcement learning and evaluation.
Open superintelligence stack: compute, RL environments hub, and sandboxes
Prime Intellect provides compute, large-scale RL training, environments, sandboxes, and evals so anyone can train and improve their own AI agents. Its open Environments Hub, described as a 'Hugging Face for RL environments', hosts thousands of community environments, and it trained the INTELLECT model series with large-scale RL.
Backed by Founders Fund, Menlo, Radical Ventures, NVIDIA, and Andrej Karpathy; $100M+ annualized revenue
This legacy directory profile is awaiting claim-level source migration. Existing values are retained, not upgraded to verified facts.
| Website | primeintellect.ai |
|---|---|
| Domains | Machine Learning, Environment Platforms, Multi-Domain |
| Location | San Francisco |
| Team size | 26-50 |
| Founded | 2024 |
| Funding | Series A, $130M at $1B valuation (2026); $150M+ total |
| Founders | Vincent Weisser @vincentweisser, Johannes Hagemann @johannes_hage |
Focus areas and technical capabilities are shown separately. Missing technical evidence remains Unknown.
Legacy classification; source migration pending
Unknown. No source-backed catalog capability record is available yet.
Products and services supported by official company materials. Reviewed 2026-08-16.
Catalog of environments for reinforcement learning and evaluation.
Managed sandboxes in Prime Intellect's training stack.
Evaluation tooling integrated with Prime Intellect's environment and training stack.
Verified public artifacts and documented private commercial inventory.
Structured sources have not yet been migrated for this profile.
Company representatives and researchers can propose sourced changes. Submissions do not directly overwrite editorial data.
Also listed under Machine Learning, Environment Platforms, Multi-Domain.
| Name | Domains | Type / catalog | Location | Team | Funding | Raising |
|---|---|---|---|---|---|---|
| Rise Data Labs RL environments and tasks across multiple domains, supported by a large expert network | Computer Use, Coding, Finance, Cybersecurity, Legal, Data Labeling, Enterprise, Multi-Domain, RLHF, Custom Environments | Data + environments 3 artifacts | New York, United States | 11-25 | - | Unknown |
| AfterQuery Expert human data and RL environments across code, finance, and computer use | Multi-Domain, Coding, Finance | Pure-play commercial 1 artifacts | San Francisco, New York, Seattle | 51-100 | $30.5M total (reported) | Unknown |
| Applied Compute Ex-OpenAI trio applying RL to build specialist enterprise models | Enterprise, Machine Learning, Custom Environments | Pure-play commercial Catalog unknown | 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 | Pure-play commercial Catalog unknown | San Francisco | 11-25 | $2.6M (2024) | Unknown |
| Bespoke Labs Data curation and RL environment recipes from ex-Google DeepMind researchers | Coding, Machine Learning | Pure-play commercial Catalog unknown | Mountain View, Menlo Park, Bangalore, San Francisco | 11-25 | ~$40M (reported) | Unknown |
| Collinear Enterprise simulation, judges, and long-horizon trajectory generation | Enterprise, Long Horizon, Machine Learning, Simulation | Pure-play commercial Catalog unknown | Mountain View, Sunnyvale | 11-25 | - | Unknown |