Braintrust

We’re thrilled to announce that we've raised a $36M Series A led by Martin Casado at Andreessen Horowitz to advance the future of AI software engineering, bringing our total funding to $45 million. Through our work with top AI engineering and product teams from Notion, Stripe, Vercel, Airtable, Instacart, Zapier, Coda, The Browser Company, and many others, we’ve had a front-row seat to what it takes to build world-class AI products. Along the way, we’ve learned a few key lessons: - Crafting effective prompts requires active iteration. - Evaluations are crucial for systematically improving quality over time. - Production logs provide a vital feedback loop, generating new data points that drive better evaluations. Evals are just the first step to building AI apps. That’s why we’re also excited to introduce functions, the flexible primitive for creating prompts, tools, and scorers that sync between your codebase and the Braintrust UI.

We’re excited to share that Braintrust has been named to the Enterprise Tech 30 list for the second year in a row! We're also honored to share the recognition with so many of our customers, like Stripe, Airtable, Superhuman, Ramp, and more. Huge thank you to Wing Venture Capital and Eric Newcomer for including us, and congratulations to all!

Join us on April 3rd at 10AM PT for In the Loop, a virtual technical Q&A with our CEO, Ankur Goyal. We'll talk through key Braintrust features, answer any questions, and explore topics relevant to your team's AI journey. Registration link in the comments 👇

Braintrust is now 80x faster than any other LLM observability platform on the market. To achieve this benchmark, we built Brainstore, the first database designed to handle the high scale and complexity of AI data. Why build a new database from scratch? AI teams need to process huge volumes of tokens, logs, and complex queries. Traditional tools are slow, resource-intensive, and difficult to scale. With Brainstore, you'll get: - 80x faster search than other platforms - Median query response time under 1 second - Efficient handling of extremely large datasets - High-speed full-text search (queries typically under 500ms) - Stateless and elastic scaling - Immediate consistency with real-time data visibility Brainstore is already changing the game for early users like Zapier, Notion, and Day.ai. And it's available today for all Braintrust customers. Enable it via feature flags in your organization, or contact us for onboarding. To learn more, read our blog post: https://lnkd.in/gh_Y9D-r

Braintrust is now 80x faster than any other LLM observability platform on the market. To achieve this benchmark, we built Brainstore, the first database designed to handle the high scale and complexity of AI data. Why build a new database from scratch? AI teams need to process huge volumes of tokens, logs, and complex queries. Traditional tools are slow, resource-intensive, and difficult to scale. With Brainstore, you'll get: - 80x faster search than other platforms - Median query response time under 1 second - Efficient handling of extremely large datasets - High-speed full-text search (queries typically under 500ms) - Stateless and elastic scaling - Immediate consistency with real-time data visibility Brainstore is already changing the game for early users like Zapier, Notion, and Day.ai. And it's available today for all Braintrust customers. Enable it via feature flags in your organization, or contact us for onboarding. To learn more, read our blog post: https://lnkd.in/gh_Y9D-r

Happy valentine's day from all of us at Braintrust.

Ready for an inside look into building Zapier Agents? Join us tomorrow, January 30 at 9AM PT to learn from Braintrust CEO Ankur Goyal and Vitor Balocco of Zapier. We’ll discuss agent evals, scoring techniques, and more. Grab your spot in the comments below

How do you write better scoring functions for your evals? Loom shared their four-step process for evaluating one of their most-loved AI features: auto-generated video titles. Link to the full post is in the comments 👇 Huge thank you to Matt Granmoe for sharing these insights! #ai #product #evals

Don’t miss our webinar one week from today, on January 30th at 9AM PT. Our CEO Ankur Goyal will share practical strategies for evaluating agents in production, from picking success metrics to choosing scoring functions. Plus, Vitor Balocco from Zapier will join us to share how Zapier Agents relaunched bigger and better this week with the help of evals. Reserve your seat for next week’s webinar in the comments below.

Join our CEO Ankur Goyal on Thursday, January 30th at 9AM PT for a live session on how to evaluate AI agents effectively. We'll break down the basics of getting started with evaluations, choosing or writing scoring functions, and applying these concepts with practical examples from Anthropic's recent guide to building effective agents. We'll also be joined by Vitor Balocco from Zapier, who will share how his team has integrated evaluations into their CI/CD pipeline for their agentic features. This is a great opportunity to learn actionable steps to improve your own AI projects and hear directly from experts applying these methods in production. Registration link in the comments 👇