Braintrust
Last Updated on: Feb 21, 2026
Braintrust
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What is Braintrust?
Braintrust is an AI observability platform designed to help teams build high-quality AI products by enabling systematic testing, evaluation, and monitoring of AI features. It provides tools to run evaluations with real data, score AI responses, and monitor live model performance to detect quality drops or incorrect outputs. Braintrust facilitates collaboration among engineers and product managers with intuitive workflows, side-by-side comparison of model results, and automated as well as human scoring. The platform supports scalable infrastructure, automated alerts for quality and safety, and provides detailed analytics to optimize AI development and maintain production quality.
Who can use Braintrust & how?
  • AI Engineers: Run code-based tests and monitor model performance continuously.
  • Product Managers: Prototype evaluations and review results in a user-friendly UI.
  • QA Teams: Automate testing and layer human feedback to catch nuanced issues.
  • Data Scientists: Analyze production data for failure modes and performance patterns.
  • Enterprises: Ensure AI quality, safety, and compliance at scale with role-based controls.

How to Use Braintrust?
  • Set Up Evals: Create tests by combining datasets, tasks, and scorers for systematic checks.
  • Run Automated Tests: Continuously test AI changes with real or synthetic data batches.
  • Monitor Production: Track live AI responses for latency, cost, and quality metrics.
  • Collaborate & Iterate: Use the interface to optimize prompts, datasets, and models across teams.
What's so unique or special about Braintrust?
  • Systematic AI Testing Framework: Shared understanding with datasets, tasks, and scorers.
  • Live Production Monitoring: Real-time alerts for quality drops and unsafe outputs.
  • Cross-Functional Collaboration: Supports both code-based and UI-driven workflows.
  • AI-Assisted Development: Automates prompt and scorer optimization with built-in agents.
  • Scalable & Secure: Handles enterprise-scale data with granular permissions and compliance.
Things We Like
  • Comprehensive framework for testing and improving AI systematically.
  • Real-time monitoring helps maintain production AI quality and safety.
  • Enables collaboration across engineering, product, and QA teams.
  • Scalable infrastructure with security features suitable for enterprises.
Things We Don't Like
  • Complexity may require onboarding for new users unfamiliar with AI testing.
  • May be more beneficial for organizations with mature AI development processes.
  • Limited direct integration details publicly available.
  • Primarily focused on AI observability, not on end-user AI product features.
Photos & Videos
Screenshot 1
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Pricing
Freemium

Free

$ 0.00

1 million
Trace spans
1 GB
Processed data
10,000
Scores and custom metrics
14 days
Data retention
Unlimited
Users

Pro

$ 249.00

Unlimited
Trace spans
5 GB
Processed data ($3/GB thereafter)
50,000
Scores and custom metrics ($1.50/1,000 thereafter)
1 month
Data retention ($3/GB retained thereafter)
Unlimited
Users
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Popular Mention

FAQs

Braintrust is an AI observability platform that helps teams systematically test, evaluate, and monitor AI to build quality products.
By running automated and human-scored evaluations and monitoring live production AI responses.
AI engineers, product managers, QA teams, data scientists, and enterprises focused on AI quality and compliance.
Yes, it tracks latency, cost, and custom quality metrics and triggers alerts for issues.
Yes, it offers an interface for cross-functional teams to prototype, review, and optimize AI development.

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This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.

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