AI observability platform for production LLM monitoring and evals
Braintrust operates an observability layer for production AI systems, connecting evaluation and monitoring workflows. The stack spans Go, Python, TypeScript, and PostgreSQL with deep integrations into OpenAI, Anthropic, and Gemini, plus infrastructure tools (Kubernetes, Prometheus, Datadog, OpenTelemetry) typical of production-grade platforms. The sales-heavy hiring mix (36 sales roles against 25 engineering) reflects a land-and-expand GTM strategy, while active projects in open-source SDKs and LLM tracing suggest they are building developer-first adoption channels alongside enterprise sales.
Notable leadership hires: Sales Director, Regional Sales Director
Braintrust is an AI observability platform built for engineering teams shipping LLM applications. The product unifies evaluation frameworks and production monitoring, allowing users to measure model performance, detect regressions, and iterate on prompts and deployments in a single workflow. Founded in 2023 and headquartered in San Francisco, the company operates across 51–200 employees. Active pain points include scaling ingestion pipelines, reducing support load, and closing enterprise deals — typical of a young observability vendor moving from product-market fit toward operational maturity. The company maintains hiring presence in the United States, United Kingdom, and Singapore.
Braintrust uses Go, Python, and TypeScript for core services, PostgreSQL and Redis for storage, Kubernetes and Docker for orchestration, and integrates with OpenAI, Anthropic, and Gemini. Infrastructure monitoring relies on Prometheus, Grafana, and Datadog. Recently adopting RAG capabilities.
Braintrust is actively hiring in the United States, United Kingdom, and Singapore, with headquarters in San Francisco.
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