Braintrust

AI observability platform — trace, evaluate, and improve AI models in production

Verified API available Works with Integrately · Make Free tier ~2.4k monthly visits
Quick facts
What is it AI observability platform — trace, evaluate, and improve AI models in production
Pricing Freemium — from $249/mo
Free tier Yes
Platform Web Application
API Yes
Works with Integrately, Make
Best for Monitoring LLM performance in production, Running prompt experiments and comparing model outputs
Domain registered 2021

Data updated Aug. 1, 2026

What does Braintrust do?

Braintrust is an AI observability platform that helps teams monitor, evaluate, and improve AI applications in production. It lets you inspect every prompt, response, and tool call in real time, run evaluations against real datasets, and catch regressions before they hit users. Think of it as a debugger plus testing lab for AI features, all in one place.

You can trace all interactions with your AI models, measure quality with automated scoring (using LLMs, custom code, or human raters), and turn production traces into eval datasets with one click. Braintrust also includes Topics, which automatically surfaces patterns in your data — like common issues or user sentiments — so you don't have to hunt through logs. The platform works with any framework and offers SDKs for Python, TypeScript, Go, Ruby, C#, and more. A unique feature is Loop, an AI agent that helps you generate better prompts, scorers, and datasets by describing what you want to optimize.

Braintrust is built for engineering teams running AI in production — from startups shipping their first agent to enterprises scaling across dozens of models. Use cases include monitoring LLM chat apps, debugging why a model gives wrong answers, running side-by-side prompt comparisons, and setting quality gates that block bad deployments. Customers include Coursera, Notion, and Graphite, who use it to evaluate AI at scale and ship with confidence.

#ai observability#developer tools#eval-framework#llm tracing#machine learning#production monitoring#prompt engineering

Key features

What makes it stand out
01
Trace every prompt, response, and tool call in real time
02
Run evals that score outputs using LLMs, code, or human raters
03
Automatically surface patterns in production data with Topics
04
Turn production traces into eval datasets with one click
05
Set quality gates that block bad releases before they hit users

Who is Braintrust for?

Who benefits most from this tool
Monitoring LLM performance in production
Running prompt experiments and comparing model outputs
Catching regressions before deploying new AI features

Pricing

Free tier available — start without a credit card

Starter

Free
  • unlimited users
  • unlimited datasets
  • unlimited projects
  • unlimited experiments
  • unlimited playgrounds
  • 14 retention days
  • 10,000 scores included
  • 1 processed data GB
  • 10 credits included usd
  • $10 credits included + token rates
  • 1 GB processed data included + $4/GB
  • 10k scores included + $2.50/1k
  • 14-day retention
  • Unlimited users, projects, datasets, playgrounds, and experiments

Pro

$249.0/month
  • unlimited users
  • unlimited datasets
  • unlimited projects
  • unlimited experiments
  • unlimited playgrounds
  • 30 retention days
  • 50,000 scores included
  • 5 processed data GB
  • 249 credits included usd
  • $249 credits included ($100 + $149?) Actually text: '$100 $249 credits' ambiguous. From feature: '$249 credits / month included'
  • 5 GB processed data included + $3/GB
  • 50k scores included + $1.50/1k
  • 30-day retention
  • Custom charts, environments, priority support, RBAC, and more

Enterprise

Custom
  • Custom data retention and export
  • RBAC
  • Premium support with on-prem or hosted deployment for high volume or privacy-sensitive data

Trust & presence

Domain Domain registered 2021

Gallery

Click any image to enlarge

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