Braintrust

Braintrust is an AI observability and evaluation platform designed for teams running AI in production. It enables users to trace production AI calls, define and run evals, compare prompts and models side-by-side, and catch regressions before they reach users.

Key Features

• Observability: Inspect traces in real time, drill into tool calls, and track latency, cost, and quality. Alerts notify teams when issues arise.
• Evals: Define evaluation criteria with LLMs, code, or human scoring. Run experiments against versioned datasets and compare results across prompts and models.
• Loop agent: An AI agent that helps improve prompts, scorers, and datasets based on evaluation results.
• Customizable trace views: Build annotation interfaces without frontend work.
• Trace to dataset: Convert production traces into eval datasets with one click.
• MCP server: Query logs, run evals, and update prompts directly from IDEs like Cursor, Claude Code, Windsurf, Cline, GitHub Copilot, and Gemini.
• Brainstore: A purpose-built database for AI traces, offering faster full-text search, write latency, and span load times compared to traditional databases.

Security & Compliance

SOC 2 Type II certified, GDPR compliant, HIPAA compliant, with SSO/SAML, RBAC, and hybrid deployment options.

Integrations

SDKs available for Python, TypeScript, Go, Ruby, C#, and more. Works with any stack and offers integrations with AI providers and frameworks.

Key Benefits

• Real-time trace inspection and monitoring
• Supports LLM, code, and human scoring for evals
• Purpose-built database (Brainstore) for fast AI trace queries
• Security certifications: SOC 2 Type II, HIPAA, GDPR