Ship quality AI at scale
Turn production traces into evals, compare prompts and models, and improve quality with every release.
Trusted by the best AI teams
AI fails differently than normal software. You need a new kind of observability to monitor and fix it.
AI drifts, hallucinates, and regresses silently. The best teams observe production, evaluate against expectations, and iterate continuously.
AI observability and evaluation for the whole team. From engineering to product, in one platform.
Observability
See what actually happened in production. Inspect every trace, drill into tool calls, and track latency, cost, and quality in real-time. Get alerts before your users notice something's wrong.
Scalable log ingestion
Live performance monitoring
Automations and alertsEvals
Define what good looks like before you ship. Run experiments against real datasets, compare prompts side-by-side, and catch regressions automatically in CI. Score with LLMs, code, or humans to keep quality moving in the right direction.
Fast prompt engineering
Flexible, versioned datasets
Automated and human scoringEverything you need to build smarter, faster
Brainstore, the database built for AI data at scale. Designed for complex AI traces.
AI traces are large and nested. Traditional databases can't handle the complexity. Brainstore is designed specifically for AI observability so you can query millions of traces quickly.
Secure by default. Compliant from day one.
SOC 2 Type II certified. GDPR compliant. SSO, RBAC, HIPAA compliant, and hybrid deployment options out of the box.
SOC 2 Type II
Independently audited security controls verified annually
SSO / SAML
Integrate with your identity provider for seamless authentication
HIPAA compliant
Full compliance with HIPAA requirements to secure PII
GDPR compliant
Full compliance with EU data protection regulations
Granular permissions
Fine-grained access control at the project and resource level
Hybrid deployment
Deploy Brainstore data plane on your own infrastructure
Built for teams running AI in production. From first agent to enterprise scale.
Malte Ubl, CTO
“We didn't realize we needed deep observability until Braintrust.”
Sarah Sachs, AI Lead
“There are some problems we wouldn't know were problems without Braintrust.”
Josh Clemm, VP of Engineering
“We can run hundreds to thousands of experiments with Braintrust.”
Luis Héctor Chávez, CTO
“Braintrust helped us identify several patterns that we wouldn't have found.”
Sarav Bhatia, Sr. Dir. of Engineering
“Braintrust is the core of our evaluation framework process.”