Announcing $80M Series B

Ship quality AI at scale

Turn production traces into evals, compare prompts and models, and improve quality with every release.

Start buildingContact sales

Trusted by the best AI teams

Airtable
Notion
Lovable
Instacart
Stripe
Vercel
Zendesk
Ramp
Dropbox
Coursera
Replit
Linear
Figma
GitHub
Anthropic
Datadog
Inspect traces in real time
AcmecorpCustomer support agentLogs
09eb732b
System

You are a helpful customer service assistant. Use the available tools to look up order information and help customers with their requests.

AI fails differently than normal software. You need a new kind of observability to monitor and fix it.

AI drifts, hallucinates, and regresses silently. The best teams observe production, evaluate against expectations, and iterate continuously.

Trace everything
Inspect prompts, responses, and tool calls in real time
Measure quality with evals
Score outputs with LLMs, code, or humans
Catch issues early
Block bad releases before they hit production
Explore the three pillars of AI observabilityTake the eval maturity assessment
Observe
Evaluate
Improve

AI observability and evaluation for the whole team. From engineering to product, in one platform.

Total LLM cost
Total$1,104.00
Completion$271.18
Prompt (cache write)$421.34
Prompt (cache read)$206.06

Observability

See what actually happened in production. Inspect every trace, drill into tool calls, and track latency, cost, and quality in real-time. Get alerts before your users notice something's wrong.

Scalable log ingestion
Live performance monitoring
Automations and alerts
Log your first trace
GPT 5.2
Claude 4.5 Opus
Gemini 3 Pro
% Score diff per edit
% Score diff
% Tool usage
52.51%AVG
58.44%AVG
100%AVG
19.61%+33%
37.72%+21%
75%+25%
28.8%+24%
53.97%+4%
99.6%
19.84%+33%
37.08%+21%
75%+25%
14.7%
36.75%
100%
37.0%-22.3%
37.0%-0.3%
99.8%

Evals

Define what good looks like before you ship. Run experiments against real datasets, compare prompts side-by-side, and catch regressions automatically in CI. Score with LLMs, code, or humans to keep quality moving in the right direction.

Fast prompt engineering
Flexible, versioned datasets
Automated and human scoring
Run your first eval

Everything you need to build smarter, faster

Improve accuracy on customer intent classification
Generating 3 prompt variants with chain-of-thought...
Variant B scored 94.2% (+12% improvement)
Loop agent

AI that helps you improve AI. Describe what you want to optimize, and Loop generates better prompts, scorers, and datasets automatically.

Optimize your evals
Annotation Queue
Support ticket #4821In review
Code review: auth.tsPending
Translation: FRDone
Customizable trace views

Build annotation interfaces that match your task. Review support conversations differently than code generation, with no frontend work required.

Build custom views
Add to dataset
Production failures
User reported issues
High latency traces
Golden responses
Trace to dataset

Turn production traces into eval datasets with one click. Build regression tests from real failures and edge cases, not synthetic examples.

Explore datasets
$ braintrust mcp start
MCP server running on :8642
# In your IDE agent:
@braintrust show me traces with >2s latency from today
MCP

Query logs, run evals, and update prompts directly from your IDE. Braintrust’s MCP server connects your coding agent to your AI stack.

Set up MCP
OpenAI
Anthropic
LangChain
LlamaIndex
Vercel AI
AWS Bedrock
+ 20 more integrations
Framework agnostic

Works with any stack you’re already using. No framework lock-in, no rewrites, no vendor dependencies to manage.

View all integrations
import { initLogger, traced } from "braintrust"
const logger = initLogger({)
projectName: "my-app"
})
const result = await traced(
async () => { ... }
)
Native SDKs

First-class TypeScript and Python SDKs with full type safety, streaming support, and zero-config tracing.

Read SDK docs

Brainstore, the database built for AI data at scale. Designed for complex AI traces.

AI traces are large and nested. Traditional databases can't handle the complexity. Brainstore is designed specifically for AI observability so you can query millions of traces quickly.

Learn more about Brainstore ↗
23.9x
Faster full text search
2.55x
Faster write latency
Competition9,587 MS
Brainstore401 MS
Competition17,775 MS
Brainstore6,984 MS

Secure by default. Compliant from day one.

SOC 2 Type II certified. GDPR compliant. SSO, RBAC, HIPAA compliant, and hybrid deployment options out of the box.

AICPA
SOC
GDPR
HIPAA

SOC 2 Type II

Independently audited security controls verified annually

GDPR compliant

Full compliance with EU data protection regulations

SSO / SAML

Integrate with your identity provider for seamless authentication

Granular permissions

Fine-grained access control at the project and resource level

HIPAA compliant

Full compliance with HIPAA requirements to secure PII

Hybrid deployment

Deploy Brainstore data plane on your own infrastructure

Learn about hybrid deployments ↗

Built for teams running AI in production. From first agent to enterprise scale.

Meet all the teams
Vercel

Malte Ubl, CTO

“We didn't realize we needed deep observability until Braintrust.”

Notion

Sarah Sachs, AI Lead

“There are some problems we wouldn't know were problems without Braintrust.”

Coursera

How Coursera builds next-generation learning tools

45x
More feedback with AI grading
Notion

How Notion evaluates AI at scale across 70 engineers

<24hrs
To deploy a new frontier model
Dropbox

Josh Clemm, VP of Engineering

“We can run hundreds to thousands of experiments with Braintrust.”

Replit

Luis Héctor Chávez, CTO

“Braintrust helped us identify several patterns that we wouldn't have found.”

Graphite

How Graphite builds reliable AI code review at scale

5%
Reduction in negative rules
Navan

Sarav Bhatia, Sr. Dir. of Engineering

“Braintrust is the core of our evaluation framework process.”

Trace everything