1
Galileo AI
Galileo focuses on transforming offline evaluations into production guardrails and providing end-to-end visibility for AI agents to prevent failures.
AI Tool
Braintrust Review
Braintrust is an AI observability platform designed to help developers build quality AI products by focusing on AI evaluation, testing, and monitoring.
shipped Jun 3, 2026aifreemium
1Braintrust secured an $80 million Series B funding round in February 2026, valuing the company at $800 million.
2The platform achieved SOC 2 Type II compliance in July 2024, with HIPAA alignment and BAA availability.
3Its freemium 'Starter' tier includes 1 million trace spans, 1 GB of processed data, and 10,000 scores per month.
4As of June 1, 2026, the 'Topics' feature is generally available, automating pattern discovery by classifying logs.
Braintrust at a Glance
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2
Arize AI
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LangSmith
LangSmith offers zero-config tracing, evaluation, and prompt management with deep integration into the LangChain ecosystem.
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Confident AI
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.
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overview
What is Braintrust?
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
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
Key Features of Braintrust
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.
- 1AI Evaluation: Systematically test and compare AI model outputs, prompts, and models side-by-side.
- 2LLM Evaluation: Specialized tools for assessing the performance and quality of Large Language Models.
- 3AI Testing: Capabilities to test prompt variations and track model outputs across different versions.
- 4LLM Testing: Specific testing frameworks for LLM-based applications, including automated evaluations.
- 5AI Observability: Real-time monitoring of live AI performance, debugging post-deployment issues, and tracking latency, cost, and quality.
- 6AI Monitoring: Captures production traces, logging inputs and outputs to ensure continuous performance.
- 7AI Debugging: Tools to identify and resolve issues within AI systems, leveraging production data.
- 8AI Development Platform: A unified environment for managing the AI development lifecycle from experimentation to production.
- 9API Availability: Provides an API for seamless integration into existing development workflows and CI/CD pipelines.
- 10Prompt Playground: Allows experimentation with different prompt templates and parameters for rapid iteration and optimization.
- 11Regression Detection: Helps identify and prevent 'bad AI responses' and performance regressions before deployment.
- 12Automated Prompt Optimization: Facilitates continuous improvement of AI models and prompts based on real user data and analytics.
use cases
Who Should Use Braintrust?
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.
- 1Technology-driven companies building or incorporating AI into their products and services for systematically testing, monitoring, and improving AI systems from development through production.
- 2Engineers and AI teams for evaluating and comparing AI model outputs, prompts, and models side-by-side, and for automating prompt optimization and dataset generation.
- 3Product Managers for catching regressions and ensuring AI quality before and after deployment, and for leveraging real user data to continuously improve AI applications.
- 4Developers for integrating AI evaluation and monitoring into their CI/CD pipelines and for debugging AI systems using production traces.
pricing
Braintrust Pricing & Plans
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.
- 1Starter (Free Tier): Includes 1 million trace spans, 1 GB of processed data, 10,000 scores per month, and 14-day data retention. This tier supports unlimited users, projects, datasets, playgrounds, and experiments.
- 2Pro Plan ($249 per month): This plan removes trace limits, increases processed data to 5 GB, and offers enhanced features. Specific details beyond the initial 5 GB and additional features are typically outlined in direct consultations.
competitors
Braintrust vs 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.
1
Galileo AI↗
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.
2
Arize AI↗
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.
3
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.
4
Confident AI↗
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.
❓
Frequently Asked Questions
+What is Braintrust?
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.
+Is Braintrust free?
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.
+What are the main features of Braintrust?
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.
+Who should use Braintrust?
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.
+How does Braintrust compare to alternatives?
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.
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