Epsilab builds RL environments for training agents on real workflows and long-horizon tasks
Epsilab builds RL environments for training agents on real workflows and long-horizon tasks. We turn software, tools, and operational workflows into versioned, executable environments with realistic state, tasks, rewards, and verifiers. Teams can run agents, collect trajectories, replay failures, and measure whether new models or harnesses actually improve. Epsilab is built for AI labs and agent teams working on coding agents, tool use, post-training, reinforcement learning, and agent reliability.