Braintrust vs LangSmith

Braintrust is an AI observability and evaluation platform that enables teams to monitor production AI applications, evaluate output quality, and iterate on prompts and models systematically. Key differentiators include integrated tracing, evals, and monitoring in one system; Brainstore database optimized for AI traces with superior query speed; Loop AI agent for generating prompts and scorers; and flexible integrations via SDKs, OpenTelemetry, and AI Proxy. Typical buyers are engineering and product teams at tech companies building AI agents or LLM apps, such as Notion, Replit, and Coursera. In February 2026, it raised $80M Series B at $800M valuation, signaling strong investor confidence in AI observability infrastructure. Enterprise features support compliance with SOC 2 Type II, GDPR, and HIPAA.

LangSmith is an LLM observability platform that provides tracing, monitoring, and evaluation for AI agents and LLM applications. It offers native tracing for agent frameworks, cost and latency tracking, online LLM-as-judge evals, custom dashboards, and alerts via webhooks or PagerDuty. Framework-agnostic with SDKs for Python, TypeScript, Go, Java, and OpenTelemetry support, it works with OpenAI, Anthropic, LlamaIndex, and custom stacks. Typical buyers are engineering teams building production LLM apps needing visibility into agent behavior, debugging failures, and performance optimization. Enterprise plans include self-hosted and BYOC options for data residency.LangSmith homepage Pricing