Braintrust

By connecting evals and observability in one workflow, Braintrust helps teams at Lovable, Notion, Stripe, Zapier, Vercel, and Ramp ship quality AI products at scale.

With Braintrust:

• Teams compare models, iterate prompts, catch regressions, and leverage real user data to continuously improve their product.

• Teams turn production data into high quality AI products.

• Builders measure, debug, and improve AI in production by connecting evals and observability in one workflow.

Observability has been how teams understand software. Logs, metrics, and traces showed what broke and why. But AI does not fail with stack traces, it drifts, hallucinates, and regresses silently. That's why AI development needs a new kind of observability.

AI observability adds evals and becomes the quality layer for AI. In one platform, Engineers and Product Managers move beyond monitoring to actively debugging, evaluating, and improving AI together directly in production. This means that features are designed for performance from the start.

Evals define what "good" looks like, traces show what actually happened, and iteration closes the loop between them. When traces become evals, improvement becomes continuous. AI observability is how modern teams build quality AI products.

Highlights:

• Best-in-class AI evaluation agent: Automate your AI development with Loop, an eval assistant that helps you automate prompt optimization and generate dataset rows directly in the playground. Built on top of your eval setup, Loop helps you get to better results, faster.

• Purpose-built database for high-scale AI workloads: Debug, evaluate, and iterate more quickly with Brainstore, a database 80x faster on real-world benchmarks and built to handle the unique demands of modern AI.

• Scalable architecture with enterprise-grade security: Start small, scale infinitely. Braintrust supports everything from simple prototypes to full-scale production systems - without switching tools or workflows. Braintrust is RBAC, SSO, SAML, and SOC II compliant and offers a hybrid deployment model for customers with certain data requirements.