Observability, tracing and evals platform for AI agents in production
Braintrust builds observability and evaluation tooling for production AI agents, running on a multi-cloud base (AWS, Azure, GCP) with Kubernetes, Terraform and OpenTelemetry alongside Rust, Go and TypeScript. Job posts point to pressure from self-hosted and hybrid deployments, with ingest backlogs and query latency surfacing as scaling pains. Hiring is accelerating and senior-heavy, split between engineering and a fast-growing sales and post-sales motion across the US, UK and Singapore.
Braintrust is a San Francisco-based, privately held software company founded in 2023. It offers a platform that lets teams trace AI agent behavior in production, surface critical patterns in trace data, and run evaluations to improve agent quality. The company employs 51–200 people and sells to engineering teams building on LLMs from providers such as OpenAI, Anthropic and Gemini. It supports both hosted and customer self-hosted deployments, and maintains SDKs and open source libraries for tracing and evaluating LLM calls.
Braintrust runs on AWS, Azure and GCP with Kubernetes, Terraform and Docker, builds in Python, TypeScript, Go and Rust, and uses PostgreSQL, Redis, OpenTelemetry, Grafana, Prometheus and Datadog.
Yes, hiring is accelerating, led by senior engineering and sales roles, with support also growing. Openings span the United States, United Kingdom and Singapore.
Current work includes AI observability SDKs, open source libraries for tracing and evaluating LLM calls, Terraform modules for customer deployments, diagnostics tooling, and testing and profiling automation.
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Braintrust's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.