Koliseum
We turn real-world data into synthetic RL environments at scale, for frontier labs.
Find failures
We run your model across many tasks and group its errors into clusters.
Build environments
Each cluster gets an RL environment with verifiable rewards.
Check integrity
Before delivery, we test each environment for reward hacks, graders that score wrong, leaked or tampered state, bypassed tool rules, escaped resource limits, and flaky scoring.
Deliver the record
You receive versioned environments, rewards, and every recorded trajectory.
EvalRouter
One API to run evaluations against any model or agent. Install it in your terminal, your coding agent, or your code.
Every evaluation version is pinned, so results stay comparable. Runs execute in parallel in isolated sandboxes, with cost shown before you start and results exported as JSON, CSV, or HTML.
Work with Kimpton.
Describe the capabilities you want to measure or improve. We agree on tasks, scoring, and validation, then build the environment.