Define what good means
Combine built-in metrics with numeric, boolean, categorical, model-judged, and code-based scoring criteria.
Open-source AI infrastructure
Turn AI quality from a feeling into a release signal.
Evaluate AI outputs with built-in metrics, LLM-as-judge scoring, sandboxed code scorers, datasets, baselines, scheduling, CI gates, and human review.
Evaluate repeatably
Run the same dataset across prompt, model, or application changes and compare the result with an accepted baseline.