Braintrust

Braintrust is a complete AI development platform that brings production-grade evaluation directly into the development workflow. It is designed for AI engineering teams—from startups to enterprises like Google and Stripe—who need to systematically test, monitor, and improve LLM applications. Unlike ad-hoc manual testing, Braintrust provides a structured environment for defining quality metrics, running automated evaluations, and collaborating across roles including engineers, product managers, and domain experts. The platform is particularly suited for teams shipping production AI systems that require continuous integration and deployment (CI/CD) integration to catch regressions before they reach users.

The platform operates on three core pillars: observability, evals, and automation. Observability includes real-time trace inspection of prompts, responses, and tool calls, with the ability to search across millions of logs and track latency, cost, and quality. Evals allow teams to score outputs using LLM-as-a-judge, custom code scorers, or human reviewers—supporting up to 10,000 scores per month on the free tier and 50,000 on the Pro plan. The automation layer includes Topics, which automatically surfaces patterns in production logs (e.g., task types, issues, sentiment), continuous online scoring to catch regressions, and quality gates that can block bad releases. Braintrust also offers a Loop agent that can autonomously run evaluations, generate test cases, and iterate on prompts based on user-defined optimization goals. The platform provides a dedicated GitHub Action for native CI/CD integration, enabling automated eval runs with every code change.

Braintrust competes directly with LangSmith, Langfuse, Weights & Biases, Galileo, Maxim AI, Comet (Opik), and Fiddler AI. Its primary differentiator is its dataset-centric, repeatable regression testing approach combined with built-in CI/CD hooks. Compared to Langfuse, which costs $29/month for unlimited users, Braintrust’s Pro plan at $249/month is significantly more expensive but includes more credits (249 vs. 10 on Starter) and advanced features like custom charts, environments, RBAC, and priority support. The platform is also noted for its comprehensive human review integration, allowing domain experts to rate, comment, or annotate outputs—a feature limited to one project on the free tier but unlimited on Pro.

Honest trade-offs: Braintrust’s enterprise pricing and features are not publicly detailed, requiring direct contact for custom quotes. Some enterprise features, such as on-prem deployment and custom data retention, may require self-hosting, which adds operational overhead. The free tier’s 14-day data retention and limited human review scores (one project) may constrain small teams with long-running experiments. Additionally, while the platform is powerful, its pricing for scores ($2.50 per 1,000 on Starter, $1.50 per 1,000 on Pro) can become costly at high volumes compared to some open-source alternatives. The platform also has a separate crypto-related entity with the same name (a freelance marketplace), which can cause confusion in search results.

Starter: $0/month with 10 credits, 1 GB processed data, 10,000 scores, 14-day retention. Pro: $249/month with 249 credits, 5 GB processed data, 50,000 scores, 30-day retention. Enterprise: custom pricing with custom retention, RBAC, and on-prem/hosted deployment.