Find patterns you didn’t know to look for
Go from raw production data to actionable insights with AI-powered analysis. Topics surfaces patterns automatically; Loop lets teams explore data through natural language.
Observability tells you what happened. Discovery tells you what it means.
When your agents handle thousands of requests daily, you can't read every trace. You need tools to surface failure modes and edge cases without requiring you to know what to look for.
With discovery, patterns surface and you can act on evidence. Topics distills thousands of logs into themed clusters you can use immediately.
From individual logs to actionable insight
Topics automatically clusters your logs into themes like user intents, failure modes, and edge cases, without you defining categories upfront. Loop lets you ask follow-up questions in plain language and get answers backed by your production data.
AI-powered clustering
Groups traces by semantic similarity. UMAP + HDBSCAN + c-TF-IDF.
Ask your data anything
Natural language queries against your logs.
Built for agent data at scale
Discovery only works if queries stay fast at production scale. Brainstore is Braintrust's database for agent observability. Search and filter millions of traces in under a second, including full-text search across prompts and error messages.
Evals and observability, automated
Discovery surfaces what to fix. Automation makes sure it stays fixed.
Sandboxed evals
Push eval code once. Teammates run complex agents from the playground without local setup.
Run sandbox evalsFrom reactive to proactive
Sarah Sachs, AI Lead
“There are some problems we wouldn't know were problems without Braintrust.”
Luis Héctor Chávez, CTO
“Braintrust helped us identify several patterns that we wouldn't have found.”
Allen Kleiner, AI Engineering Lead
“Loop helps us understand trace details that would be impossible to scan manually.”