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Braintrust

Enterprise AI evaluation platform — experiments, datasets, and production monitoring

Evals & ObservabilityFreemium

Braintrust is an enterprise-grade evaluation and observability platform for AI products. Teams run experiments (A/B test prompts, models, retrieval strategies), manage evaluation datasets, track production performance, and collaborate on AI quality improvements. Used by AI teams at Stripe, Zapier, Vercel, and other tech companies building AI features at scale.

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Key specs
10,000,000 Experiments run source
as of 2026-03-27

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What we know

PricingFreemiumfrom our original listing, not yet re-checked

Why it matters

  • Used by Stripe, Zapier, and Vercel — teams with rigorous engineering standards who need reliable AI evaluation.
  • Structured experiment management enables systematic A/B testing of prompts and models at scale.
  • Dataset versioning ensures evaluation is reproducible — same inputs across experiments for fair comparison.
  • Production monitoring closes the loop between offline evaluation and real-world performance.

Key capabilities

  • Experiments: Run structured A/B tests comparing prompts, models, or pipeline configurations.
  • Dataset management: Create, version, and share curated evaluation datasets with expected outputs.
  • Automated scoring: LLM-as-a-judge, custom Python evaluators, and semantic similarity metrics.
  • Human review: Queue outputs for human annotation and quality scoring.
  • Production logging: Log every production LLM call for ongoing quality monitoring.
  • Playground: Interactive prompt testing and comparison tool.
  • SDK: Python and TypeScript SDKs for logging and experiment management.
  • Regression detection: Alert when new prompt versions perform worse than baseline.
  • Multi-model comparison: Run the same dataset against GPT, Claude, Gemini, and others simultaneously.

Technical notes

  • SDK: Python (pip install braintrust), TypeScript (npm install braintrust)
  • Framework: Framework-agnostic; works with any LLM or pipeline
  • LLMs: OpenAI, Anthropic, Google, and custom models
  • Hosting: Braintrust Cloud; self-hosted option (Enterprise)
  • Data: SOC 2 compliant; Enterprise data isolation available
  • Pricing: Free tier; Pro ~$150/mo; Enterprise custom
  • Company: Braintrust; San Francisco; YC W22; backed by Elad Gil, Nat Friedman

Ideal for

  • AI product teams who need rigorous, reproducible evaluation before shipping prompt or model changes.
  • Organizations running continuous evaluation as part of their CI/CD pipeline for AI features.
  • Teams comparing multiple model providers and needing clear performance data across configurations.

Not ideal for

  • Small teams who just need basic logging — Helicone or PromptLayer are simpler for pure observability.
  • LangChain-heavy pipelines where LangSmith's native integration is more seamless.
  • Individual developers doing occasional prompt testing — the free tier may be sufficient but alternatives are simpler.

See also

  • LangSmith — LangChain's native evaluation and observability platform.
  • RAGAS — Focused RAG evaluation with specialized retrieval quality metrics.
  • Humanloop — Competitor with stronger prompt versioning and deployment features.

FAQ

What is Braintrust?

Braintrust is an AI evaluation platform. Teams use it to run experiments (test different prompts, models, or retrieval configurations), manage datasets of test cases and golden answers, score outputs with human or automated evaluators, and track how AI quality changes over time. It's designed for product teams shipping AI features who need reproducible evaluation and regression prevention.

Is Braintrust free?

Braintrust has a free tier with limited logged requests and team members. Pro plan (~$150/mo) adds higher volume, more team members, and private data. Enterprise for dedicated infrastructure, SSO, and custom contracts. Pricing scales with the number of logged events.

How does Braintrust compare to LangSmith?

Both are AI evaluation and observability platforms. LangSmith is tightly integrated with LangChain and excellent for tracing complex chains and agents. Braintrust is framework-agnostic with stronger experiment tracking, dataset management, and collaborative evaluation workflows. Braintrust's UI for running structured experiments and comparing results across many configurations is more developed. For LangChain-heavy teams, LangSmith; for framework-agnostic eval with strong experiment management, Braintrust.

What makes Braintrust's evaluation different?

Braintrust emphasizes structured experiments: define a dataset of inputs and expected outputs, run your LLM pipeline against every example, score results with automated evaluators (LLM-as-judge, custom code), and compare results across different configurations in a side-by-side table. This makes it easy to answer 'does this prompt change improve or regress quality?' across your full test suite.

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Listed 2026-02-28 · updated 2026-11-12