Trace everything in real time

Inspect every agent trace and tool call in production, search across millions of logs, and track latency, cost, and quality live. The platform shows detailed traces with input/output, accuracy, sentiment, duration, and token usage.

Catch issues early and understand exactly what your agents are doing.

Define what good looks like before you ship

Run experiments against real datasets, compare prompts and models side-by-side, and score outputs with LLMs, code, or humans. Use fast prompt engineering and flexible, versioned datasets to measure quality.

Block bad releases before they hit production with automated and human scoring.

Automatically find patterns in production

Topics surfaces patterns in real time across tasks, issues, and sentiment. Continuous online scoring catches regressions, and quality gates block bad releases. You can also design custom facets like use case, customer segment, or compliance.

Turn production signals into improvements automatically without manual analysis.

AI that helps you improve agents

Describe what you want to optimize, and Loop generates better prompts, scorers, and datasets automatically. It works alongside your existing evals to continuously improve quality.

Optimize your evals and agent performance with minimal manual effort.

Framework agnostic and MCP ready

Works with any stack you're already using—no framework lock-in, no rewrites, no vendor dependencies. The MCP server connects your coding agent to your AI stack, letting you query logs, run evals, and update prompts directly from your IDE.

Integrate seamlessly into your existing development workflow.

Built for teams at scale

Scalable agent trace ingestion, live performance monitoring, custom views, and annotation interfaces. Turn production traces into eval datasets with one click, building regression tests from real failures and edge cases.

Grow from startup to enterprise with predictable pricing and enterprise-grade security.

• Comprehensive observability for agentsBraintrust provides active observability for AI agents, allowing you to inspect every trace, prompt, response, and tool call in real time. It scales to millions of logs and tracks latency, cost, and quality, with custom views and annotation capabilities.
• Built-in evaluation and discoveryThe platform includes evals for defining quality, scoring with LLMs, code, or humans, and discovery features like Topics that automatically surface patterns in production. You can turn production traces into datasets with one click and block bad releases with quality gates.
• Framework agnostic with native SDKsBraintrust works with any stack you already use, offering native SDKs for Python, TypeScript, Go, Ruby, C#, and more. It also provides an MCP server to connect your coding agent to your AI stack, with no framework lock-in or rewrites.
• Secure and compliant by defaultBraintrust is SOC 2 Type II certified, GDPR compliant, and offers SSO/SAML, RBAC, HIPAA compliance, and hybrid deployment options. It includes granular permissions and a trust center for enterprise-grade security.

• Pricing tiers and free usageBraintrust offers a free Starter plan with $10 monthly credits, 1 GB processed data, 10k scores, and 14-day retention. The Pro plan costs $249/month with more credits and features, while Enterprise has custom pricing. No credit card is required to start, and qualifying startups get 6–12 months free on Pro.
• Data retention and export optionsStarter includes 14-day retention, Pro includes 30-day retention with optional extended retention at $0.50/GB/month, and Enterprise offers custom retention and export. S3 data export is available only on Enterprise plans.
• Model credits and token ratesMonthly model credits cover AI features like Topics and built-in models. Starter includes $10 credits, Pro includes $249 credits, and Enterprise is custom. After credits are used, token rates apply, but specific rates are not shown on the pricing page.
• Customization and enterprise featuresCustom charts, environments, and RBAC are available on Pro and Enterprise, but not on Starter. Enterprise adds custom policies, S3 export, and premium support with on-prem or hosted deployment. Human review scores are limited to 1 per project on Starter, unlimited on Pro and Enterprise.

Trace Everything

Inspect every agent trace and tool call in real time. Search across millions of logs, track latency, cost, and quality, and see exactly what happened in production.

Evaluate What Ships

Define what good looks like before you ship. Run experiments against real datasets, compare prompts and models side-by-side, and score outputs with LLMs, code, or humans.

Discover Patterns

Automatically surface patterns in production across tasks, issues, and sentiment. Turn production signals into improvements with Topics, online scoring, and quality gates.

Build Smarter Agents

Use Loop agent to generate better prompts, scorers, and datasets automatically. Turn production traces into eval datasets with one click and build regression tests from real failures.

Create a client account on Braintrust and complete your company profile, including project history and team size.

Post a project with a detailed description of the required skills, experience level, and engagement type (hourly or fixed-price).

Review matched candidates’ profiles, portfolios, and past client feedback. Conduct interviews with the top 2-3 candidates.

Select your preferred talent, agree on terms, and start the project using the platform’s built-in time tracking and communication tools.