Braintrust is an enterprise platform for evaluating and monitoring AI applications. It lets teams define datasets, run experiments, and score outputs so they can ship AI features with confidence.
Rather than relying on vibes, Braintrust gives you a structured workflow: log real traces, build evaluation datasets, run automated scorers, and compare experiments in a clean UI. It works with every major model and framework.
Product Features
- Experiment tracking with side-by-side comparison views
- Flexible scorers including code, LLM-as-judge, and human review
- Production logging, tracing, and online evaluation
- Dataset and version management for regression testing
- Playground for rapid prompt iteration
- SDKs for Python, TypeScript, and REST with proxy/integrations
Product Highlights
- Move from prototype to production with measurable quality
- Compare models, prompts, and configurations instantly
- Online scoring catches quality issues live
- Scalable for teams with enterprise compliance needs
Use Cases
- Benchmarking models for a new AI feature
- Building regression suites to prevent prompt breakage
- Evaluating RAG retrieval quality end to end
- Tracking production quality and cost together
- Running human review on customer-facing outputs
