Braintrust

Braintrust is an AI observability and evaluation platform designed to help engineering teams monitor, evaluate, debug, and improve AI agents and LLM applications in production environments. They enable organizations to transform production traces into evaluation datasets, compare prompts and models, and continuously improve AI quality through automated and human-driven feedback systems. Braintrust is widely used for AI observability, prompt engineering, evaluation workflows, trace monitoring, regression testing, and production AI optimization across enterprise and high-scale AI deployments. Their platform is framework-agnostic, allowing teams to integrate with existing AI stacks using SDKs for Python, TypeScript, Go, Ruby, C#, and other languages without vendor lock-in or infrastructure rewrites.

They include advanced capabilities such as real-time trace inspection, scalable trace ingestion, automated eval pipelines, human and LLM-based scoring, live performance monitoring, CI regression testing, dataset versioning, customizable annotation interfaces, prompt experimentation, and AI workflow automation for large-scale AI systems. Braintrust is designed for teams that require deep production visibility, scalable AI evaluation infrastructure, enterprise-grade monitoring, fast prompt iteration, operational reliability, and continuous AI quality improvement across complex AI applications. Their ecosystem also features Brainstore, a database optimized for AI trace workloads, delivering high-performance querying, full-text search, nested trace analysis, and scalable ingestion for millions of AI traces. The platform additionally supports SOC 2 Type II certification, HIPAA compliance, GDPR compliance, SSO/SAML integration, granular permissions, hybrid deployments, and secure enterprise AI operations for organizations managing sensitive AI workloads and production-scale deployments.

And the best part? They offer developer-friendly AI evaluation and observability tooling with scalable enterprise infrastructure for continuously improving production AI systems and autonomous agents.