Braintrust is an AI observability platform designed to help developers build quality AI products by focusing on AI evaluation, testing, and monitoring.
Stork Quadrant
An LLM can do most of what this tool's UI promises. No moat, no agent presence.
“Braintrust lives in the trust and coordination layer — the part where teams need shared ground truth on whether their AI is regressing, and where that judgment needs to be auditable across engineers, PMs, and stakeholders. An LLM alone can't run evals against your production logs, version your prompts, and surface regressions to your whole team. The platform is real infrastructure, not a wrapper. But the moat is thin because every major cloud provider and several well-funded startups are racing to own this exact layer.”
An LLM alone could replace
Go deep on a vertical where eval failures have real consequences — healthcare AI, legal AI, fintech — and own the liability story. Alternatively, become the eval API that agents call, not just the dashboard humans look at.
<a href="https://www.stork.ai/en/braintrust" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/braintrust?style=dark" alt="Braintrust - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/braintrust)
overview
Braintrust is an AI observability platform tool developed by Braintrust (company) that enables developers, engineers, product managers, and AI teams to build, test, and improve AI products and systems. It focuses on AI evaluation, testing, and monitoring to ensure optimal performance and reliability of Large Language Models (LLMs) and AI agents.
quick facts
| Attribute | Value |
|---|---|
| Developer | Braintrust |
| Business Model | Freemium, Subscription SaaS |
| Pricing | Freemium (Starter tier free, Pro plan $249/month) |
| Platforms | Web, API |
| API Available | Yes |
| Integrations | CI/CD pipelines |
| Funding | $80 million Series B in February 2026, valuation $800 million |
features
Braintrust offers a comprehensive suite of functionalities for the development, evaluation, and monitoring of AI applications, particularly those leveraging LLMs and AI agents. These features are designed to provide engineering teams with the tools necessary for systematic AI quality assurance.
use cases
Braintrust is primarily designed for technology-driven companies and their engineering teams that are actively building, integrating, or managing AI into their products and services. Its capabilities cater to various roles involved in the AI development and deployment lifecycle.
pricing
Braintrust operates on a freemium model, offering a free tier for initial exploration and a paid plan for expanded capabilities. The pricing structure is designed to scale with usage, primarily based on trace spans and processed data volume.
competitors
Braintrust positions itself as a comprehensive AI observability and evaluation platform, aiming to provide an integrated workflow across the AI development and monitoring lifecycle. It competes with several specialized and general-purpose AI tools.
Galileo focuses on transforming offline evaluations into production guardrails and providing end-to-end visibility for AI agents to prevent failures.
While Braintrust emphasizes a continuous loop between production monitoring and development testing, Galileo specifically highlights continuous scoring and safety checks within live LLM environments.
Arize AI specializes in machine learning observability, compliance, and drift detection for models in production.
Arize AI provides a notebook-friendly environment for ML engineers during experimentation, focusing on tracking metrics, identifying data/model drift, and diagnosing errors, whereas Braintrust offers a more comprehensive evaluation loop from production traces to prompt optimization.
LangSmith offers zero-config tracing, evaluation, and prompt management with deep integration into the LangChain ecosystem.
LangSmith is considered the closest direct competitor to Braintrust, providing similar core functionalities, but its tightest integration is within the LangChain ecosystem, while Braintrust aims for a broader, more integrated workflow.
Confident AI is an evaluation-first AI observability platform that scores every trace and conversation with over 50 research-backed metrics, enabling non-technical teams to run end-to-end evaluations.
Confident AI is presented as a more cost-effective alternative at scale and offers deeper evaluation capabilities, including multi-turn simulation and red teaming, compared to Braintrust's focus on prompt optimization and standard observability.
Braintrust is an AI observability platform tool developed by Braintrust (company) that enables developers, engineers, product managers, and AI teams to build, test, and improve AI products and systems. It focuses on AI evaluation, testing, and monitoring to ensure optimal performance and reliability of Large Language Models (LLMs) and AI agents.
Yes, Braintrust offers a freemium 'Starter' tier. This free plan includes 1 million trace spans, 1 GB of processed data, 10,000 scores per month, and 14-day data retention, supporting unlimited users and projects. A 'Pro Plan' is available for $249 per month, which removes trace limits and increases processed data to 5 GB.
Braintrust's main features include AI and LLM evaluation, comprehensive AI testing, real-time AI observability and monitoring, AI debugging tools, and a dedicated AI development platform. It also offers an API for integration, a prompt playground for experimentation, and capabilities for regression detection and automated prompt optimization.
Braintrust is intended for technology-driven companies building or incorporating AI into their products and services. Its target users include engineers, product managers, and AI teams who need to systematically test, monitor, and improve AI systems, evaluate model outputs, catch regressions, and continuously enhance AI applications using real user data.
Braintrust positions itself as a comprehensive AI observability platform. Compared to Galileo AI, Braintrust offers a broader evaluation loop, while Galileo focuses on production guardrails for AI agents. Against Arize AI, Braintrust provides a more integrated evaluation from production traces to prompt optimization, whereas Arize specializes in ML observability and drift detection. LangSmith is a direct competitor with similar features but tighter integration within the LangChain ecosystem. Confident AI is presented as a more cost-effective alternative at scale, offering deeper evaluation metrics and multi-turn simulation compared to Braintrust's focus on prompt optimization and standard observability.
For builders
AI agents read it. Buyers find it. Backlinks accrue. Your tool can have one too — live in 24 hours, indexed by Claude, ChatGPT, and Perplexity, queryable via MCP.
