Braintrust Data, Inc.
Building the infrastructure for production AI, serving as the observability and evaluation layer for AI models and products.
At a Glance
- AI Engineering Teams
- Enterprises building AI products
- SaaS companies
AI Tools by Braintrust Data, Inc.
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Braintrust
AI Evaluation and Monitoring Platform
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Products & Services
An end-to-end platform for tracing, evaluating, and monitoring AI models and products in production.
A high-scale database specifically designed for complex AI traces and data.
An IDE integration allowing developers to query logs, run evals, and update prompts directly from their development environment.
Native SDKs for Python, TypeScript, Go, Ruby, C#, and Java for seamless AI tracing integration.
Market Position
Braintrust positions itself as the enterprise-grade observability layer for AI, focusing on evaluation and reliability rather than just simple monitoring.
Leadership
Founders
Ankur Goyal
Founding CEO. Previously Founder & CEO of Impira (acquired by Figma), Head of ML Platform at Figma, and VP of Engineering at MemSQL. Alumnus of Carnegie Mellon University.
Executive Team
Ankur Goyal
Founder & CEO
Serial entrepreneur with background in ML platforms and database engineering; former Head of ML at Figma.
Board of Directors
Founding Story
Ankur Goyal founded Braintrust Data after observing the challenges of making AI reliable in production at Impira and Figma. His insight was that the hardest part of AI development is not building the initial demo, but evaluation and refinement. Braintrust was created to help teams measure, evaluate, and improve their AI products using an end-to-end observability platform.
Business Model
Revenue Model
SaaS Subscription with usage-based billing (data processed and scoring volume).
Pricing Tiers
1 GB processed data included (+ $4/GB); 10k scores (+ $2.50/1k); 14 days retention.
5 GB processed data included (+ $3/GB); 50k scores (+ $1.50/1k); 30 days retention; custom charts and priority support.
Custom data retention and export, RBAC, premium support, and hybrid deployment options.
Target Markets
- AI Engineering Teams
- Enterprises building AI products
- SaaS companies
- Monitoring AI production performance
- Detecting hallucinations and regressions
- Prompt engineering and optimization
- A/B testing AI models
- Ensuring compliance and data privacy in AI workflows
- Vercel
- Notion
- Coursera
- Dropbox