Braintrust
A commercial platform for evaluating, logging, and iterating on AI products.
Braintrust is an evaluation-first platform: it makes running and comparing evals a core workflow, with logging and a prompt playground around it, so changes to a model or prompt can be judged against data rather than vibes.
It is a hosted, commercial product aimed at teams building AI products who want a rigorous iteration loop.
Where it fits
A fit for product teams who want disciplined, data-driven evaluation as the centre of their iteration loop.
Where it does not fit
Hosted and commercial, and more process than a small experiment needs.
Alternatives to Braintrust
The closest options on the map, and where each fits instead.
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LangSmith LLM observability
A natural fit when a project is built on LangChain or LangGraph and you want tracing and evals from the same ecosystem.
Unlike Braintrust Maturity: established
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Langfuse LLM observability
A strong default whenever an AI system reaches production and you need to see what it actually did, call by call.
Unlike Braintrust Open sourceSelf-hostableMaturity: established
Pairs with
Commonly used alongside it.
