Braintrust is an observability, evaluation, and discovery platform built for AI agents and LLM applications. Instead of tracking uptime and latency like traditional monitoring tools, it focuses on how AI output quality changes over time. It targets engineering, product, and data teams that ship LLM-based features and need to know when a model drifts or regresses.
The platform addresses what the company calls the silent failure problem. When teams update prompts, switch models, or change agent logic, it is often unclear whether the change actually improved results. Braintrust connects offline testing with live production data so teams can trace every step of an LLM call and score responses against defined baselines.
Data enters Braintrust through an AI Gateway or native SDK auto-instrumentation. Teams can then evaluate outputs using automated checks, LLM-as-a-judge scoring, or human reviewers. A discovery engine clusters production logs to surface user intents and recurring failure patterns, and the platform can plug into CI/CD pipelines to block releases that fail quality thresholds.
Braintrust is framework-agnostic and includes Brainstore, a proprietary database built for fast search across nested agent traces. It also includes Loop, an AI assistant for querying logs and generating prompt improvements in natural language.
Pricing
Braintrust uses tiered, usage-based pricing. The free Starter plan costs $0 per month and includes $10 in model credits, 1 GB of processed data, 10,000 scores, and 14-day data retention, with unlimited users, projects, and experiments. The Pro plan costs $249 per month and adds $249 in model credits, 5 GB of processed data, 50,000 scores, 30-day retention, custom charts, environments, basic role-based access control, and priority support. Enterprise pricing is custom and adds extended data retention, S3 export, custom RBAC, SAML SSO, and optional HIPAA business associate agreements; qualifying startups can get 6 to 12 months of Pro free.
* Disclaimer: Please note that pricing information may not be up to date. For the most accurate and current pricing details, refer to the official website.
Key Features
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Real-time tracing of prompts, responses, tool calls, and latency
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Unified AI Gateway across OpenAI, Anthropic, Gemini, and AWS
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Brainstore database for sub-second search on nested traces
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Multi-modal evaluation combining code checks, AI judges, and humans
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CI/CD quality gates that block releases below score thresholds
Use Cases
Production AI Monitoring
Teams route traffic through the Braintrust Gateway or SDK to trace live agent interactions. Dashboards track cost and latency, and alerts fire when error rates or response times exceed set thresholds.
Automated Regression Testing
Quality gates are added to CI/CD pipelines such as GitHub Actions. Every prompt or code change is evaluated automatically, and releases that fail the bar are halted before reaching users.
Prompt and Model Comparison
Teams run side-by-side experiments on versioned datasets to test a new prompt or model. Diffs show how the change affected factuality, cost, and instruction following.
User Intent and Edge Case Discovery
The Topics feature clusters thousands of production traces into semantic groups such as refund requests or damaged items. This removes the need for manual log categorization.
Curating Realistic Test Datasets
When a failure or a strong response appears in production, a developer can add it to a versioned dataset with one click. This builds evaluation benchmarks from real traffic instead of synthetic examples.
Strengths & Weaknesses
Strengths
Uses the same evaluation scorers for offline experiments and live production monitoring.
The Brainstore database is built to avoid lag when searching large, nested log files.
Framework-agnostic design avoids lock-in to a specific orchestration layer.
The free Starter plan includes unlimited team members, projects, and experiments.
Supports SOC 2 Type II, HIPAA, and GDPR compliance for regulated teams.
Weaknesses
Starter plan data retention is limited to 14 days, which restricts long-term trend analysis.
Human review on the Starter plan allows only one configured score per project.
SAML SSO and advanced role-based access control are only available on the Enterprise plan.
Heavy automated scoring can exceed monthly quotas quickly, leading to overage charges.
Who Is This For?
AI engineering teams needing low-latency instrumentation, CI/CD evaluation gates, and cost tracking to scale agent systems.
AI product managers who want to understand user behavior through automated log clustering without writing queries.
Data quality and annotation teams that need customizable review interfaces for grading LLM outputs.
Enterprise security and compliance teams requiring SOC 2, HIPAA agreements, and granular access controls.
Frequently Asked Questions
Does Braintrust require a specific AI framework?
No. Braintrust is framework-agnostic and works with any stack without requiring specific orchestration tools.
Is there a free version of Braintrust?
Yes. The Starter plan is free, requires no credit card, and includes unlimited users, datasets, and experiments with baseline usage allowances.
How does the Braintrust Gateway work?
You change your application’s API base URL to the Braintrust Gateway and pass your existing API key. This adds tracing and caching across providers without other code changes.
Can Braintrust handle sensitive healthcare data?
Yes. Braintrust is HIPAA compliant, and teams handling protected health information can sign a business associate agreement on the Enterprise plan.
What is Brainstore?
Brainstore is Braintrust’s custom database built for AI agent data. It handles large, nested traces with sub-second full-text search.
Can Braintrust block bad AI updates automatically?
Yes. Quality gates can be configured in a CI/CD pipeline, and deployments are blocked if evaluation scores drop below a defined threshold.
What does the Loop agent do?
Loop is a built-in AI assistant that answers natural language questions about log data and generates prompt or dataset improvements automatically.
Which companies use Braintrust?
Named customers include Notion, Coursera, and Graphite. Braintrust does not publish total customer or user counts.
What SDKs does Braintrust support?
Native SDKs are available for Python, TypeScript, Go, Ruby, and C#, alongside auto-instrumentation for LangChain and OpenTelemetry.
Braintrust integrates with OpenAI, Anthropic, Gemini, and AWS through its unified gateway, plus LangChain and OpenTelemetry for auto-instrumentation. It also connects to GitHub Actions for CI/CD quality gates, and offers Slack, SAML, and SSO integrations on the Enterprise plan.