Braintrust AI Observability and Evals

Braintrust Data, Inc. develops an observability and evaluation platform for AI agents and LLM applications, with a San Francisco mailing address in its privacy policy. It addresses the difficulty of knowing whether production agents behave correctly as prompts, models and tools change. Its blog lists a $5 million seed in December 2023, a $36 million Series A in October 2024 and a Series B in February 2026.

The platform has three parts: Observe traces prompts, responses and tool calls with latency, cost and quality tracking; Evaluate runs experiments on datasets scored by LLMs, code or humans; Discover finds recurring failure patterns in production traces. The homepage names Cloudflare, Notion, Box, Replit, Retool and Coursera as customers.

• Observe: traces prompts, responses and tool calls and tracks latency, cost and quality.
• Evaluate: runs experiments on datasets and scores outputs with LLMs, code or human reviewers.
• Discover: finds recurring behavior and failure patterns in production traces.
• Loop agent: generates improved prompts, scorers and datasets.
• Brainstore database: uses the Nitro query engine for fast trace queries.
• MCP server and SDKs: Python, TypeScript, Go, Ruby and C# plus IDE access to logs and evals.

A Vietnamese bank can evaluate a customer-service chatbot against curated test sets before each release. An e-commerce company can trace a shopping agent to find costly or failing tool calls. A software team can gate pull requests on evaluation scores.

Teams can trace every agent step and search production logs to debug faster. Production traces convert into evaluation datasets, so regressions are caught before release. Alerts and automations can block bad releases. SOC 2 Type II, GDPR and HIPAA compliance are listed, with a hybrid option that keeps the data plane in the customer's cloud.

As companies move LLM agents into production, evaluation and tracing have become a separate tooling layer alongside classic observability. Banks, e-commerce and software firms in Vietnam piloting AI assistants need ways to measure quality, cost and regressions before scaling.

Legal entity Braintrust Data, Inc. (San Francisco mailing address in the privacy policy). Funding listed on its blog: seed December 2023, Series A October 2024 ($36M), Series B February 2026. Trust center at trust.braintrust.dev.