Braintrust
The AI observability platform for building quality AI products
Last verified April 24, 2026About Braintrust
Braintrust is an AI observability and evaluation platform that enables teams to monitor production AI applications, evaluate output quality, and iterate on prompts and models systematically. Key differentiators include integrated tracing, evals, and monitoring in one system; Brainstore database optimized for AI traces with superior query speed; Loop AI agent for generating prompts and scorers; and flexible integrations via SDKs, OpenTelemetry, and AI Proxy. Typical buyers are engineering and product teams at tech companies building AI agents or LLM apps, such as Notion, Replit, and Coursera. In February 2026, it raised $80M Series B at $800M valuation, signaling strong investor confidence in AI observability infrastructure. Enterprise features support compliance with SOC 2 Type II, GDPR, and HIPAA.
Framework coverage
Coverage claims documented by Braintrust on their own materials. Chip shading reflects the strength of the claim, not an independent audit.
United States (AICPA) · active
United States · active
Capabilities
Features Braintrust markets publicly. Inclusion means the capability is documented — not that it's best-in-class.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
LLM Evaluation
Systematic testing of LLM outputs for correctness, relevance, safety, and consistency using automated scorers, rubrics, or human review.
Prompt Management
Versioning, templating, A/B testing, and deployment workflows for LLM prompts treated as production artifacts.
Agent Tracing
End-to-end visibility into multi-step LLM agent runs: tool calls, intermediate reasoning, token usage, latency, and errors at each step.
Drift Detection
Automated detection of distribution shift, feature drift, prediction drift, and performance degradation in deployed ML/AI models.
Explainability
SHAP, LIME, counterfactual, and feature-importance explanations for model decisions.
Industries served
Integrations
Documented by Braintrust in public product materials.
- OpenAI API
- Anthropic API
- LangChain
- Vercel AI SDK
- OpenTelemetry
- GitHub
Pricing
Contact for pricing
Starter free ($0/mo, 1GB data/10k scores incl., overage $4/GB $2.50/1k); Pro $249/mo (5GB/50k incl., overage $3/GB $1.50/1k); Enterprise custom.
Pros and cons
Pros
- Unified platform integrates observability, evals, and iteration reducing tool fragmentation.
- Brainstore database offers 80x faster queries on AI traces than traditional warehouses.
- Framework-agnostic with multiple integration methods: SDKs for 10+ languages, OpenTelemetry, AI Proxy.
- SOC 2 Type II, GDPR, HIPAA compliant with enterprise RBAC and hybrid deployment options.
Cons
- No explicit documentation of support for AI-specific regulations like EU AI Act or NIST AI RMF.
- Employee count varies across sources between 11-50 and 51-200 on LinkedIn.
- No Crunchbase profile found; funding pieced from company blog posts.
Frequently asked
What is the free tier limit?+
1 GB processed data and 10k scores per month included, with overages at $4/GB and $2.50/1k.
Does Braintrust support self-hosting?+
Enterprise offers hybrid deployment and fully self-hosted options for privacy-sensitive data.
What compliance certifications does it have?+
SOC 2 Type II, GDPR compliant, HIPAA compliant with BAA.
How does pricing scale?+
Tiered plans with included usage and overages; Enterprise custom with SLAs.
Sources
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