Braintrust
Braintrust lets engineering teams log and trace LLM calls with latency, token, and cost metrics, run structured evals...
About Braintrust
Braintrust lets engineering teams log and trace LLM calls with latency, token, and cost metrics, run structured evals against datasets to score output quality, and replay production traces against new prompts or models to catch regressions before shipping. It includes a playground for side-by-side comparison of prompts and models, supporting continuous quality measurement rather than one-off checks. This is the AI eval company at braintrust.dev, not the Web3 talent marketplace of the same name.
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Common Use Cases
- Ship quality agents at scale
- Agent observability
- Running evals
- Automatic pattern discovery from production signals
- Monitoring and fixing agents in production
- Building regression tests from real failures
Details
- Pricing Model
- Contact Sales
- Category
- AI & Machine Learning
Key Features
- Real-time agent trace inspection
- Measure quality with evals (LLM, code, or human scoring)
- Catch issues early / block bad releases
- Observability with scalable agent trace ingestion and live performance monitoring
- Custom views and annotation
- Evals with experiments against real datasets and side-by-side prompt/model comparison
- Flexible, versioned datasets
- Discovery with Topics for automatic pattern discovery
- Continuous online scoring
Real Pricing from Verified Users
See what people actually pay for Braintrust
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