Braintrust

Braintrust is an evaluation and observability platform designed to help teams systematically test and improve AI systems using real-world data. It provides a structured way to measure model quality, compare versions, and understand the impact of changes before deploying to production. The primary purpose of Braintrust is to make AI evaluation repeatable, data-driven, and integrated into existing development workflows, reducing guesswork and manual experimentation.

The platform supports building robust eval suites that combine automated metrics, human feedback, and custom scoring logic tailored to specific tasks. Users can run batch evaluations on prompts, model outputs, and end-to-end workflows, then analyze performance across dimensions such as accuracy, relevance, safety, latency, and cost. Braintrust offers versioning and experiment tracking, enabling side-by-side comparison of different models, prompts, and configurations. It also integrates with common AI stacks and CI/CD pipelines so evaluations can be triggered automatically as part of model or prompt updates.