Overview
Braintrust: Scalable trace ingestion
Braintrust is designed to help AI teams monitor and improve the quality of their AI products, with a focus on observability and evaluation, allowing them to trace everything that happens in production, inspect prompts, responses, and tool calls in real time, and measure quality with evals, however, it currently lacks support for automated human scoring, Braintrust's platform provides scalable trace ingestion, live performance monitoring, and custom views and annotation, enabling teams to log their first trace and run experiments against real datasets, compare prompts and models side-by-side, and score outputs with LLMs or code, the tool also offers a discovery feature to find patterns and improve quality with every release, with Braintrust, teams can automate pattern discovery with Topics and ship quality AI at scale, the platform is built for the whole team, from engineering to product, and provides a comprehensive approach to AI observability and evaluation, Braintrust's eval maturity assessment is also available to help teams evaluate their current state and improve their AI development process, overall, Braintrust provides a robust set of features to help AI teams build and deploy high-quality AI products
