Proximal
RL environment from Proximal
Proximal is a San Francisco-based (with a Bangalore presence) research lab for coding data, building high-fidelity, long-horizon reinforcement learning environments grounded in real codebases to train and evaluate frontier coding agents. It emphasizes scalable, software-driven data engines over human contractors, and research into reward-hacking detection and 'fuzzy verifiers' that score code quality beyond functional correctness. [what_they_sell: environments]
- Publisher
- Proximal
- Domains
- Coding, Long-Horizon, Private Codebases
- Location
- San Francisco, USA
- Team size
- 11-50 people
- Data source
- rl-list
- Catalogued
- Website
- https://www.proximal.ai
Catalogue entry from the RL Engineering daily scrape of public sources. Data reflects the 2026-08-30 snapshot.