What is Braintrust?
Braintrust is a comprehensive AI observability platform that helps teams build, debug, and monitor high-quality AI products. In today's AI landscape, understanding model behavior is critical—yet many teams struggle with opaque systems that fail unexpectedly. Braintrust solves this by providing real-time visibility into every aspect of your AI pipeline, from data preprocessing to model inference. The platform offers automated evaluations, allowing you to test your models against custom metrics before deployment. Its powerful debugging tools let you trace individual predictions, compare model versions, and identify drift over time. Braintrust integrates natively with popular frameworks like PyTorch, TensorFlow, and Hugging Face, as well as orchestration tools like MLflow and Airflow. Teams can collaborate seamlessly with shared dashboards, alerts, and root cause analysis. Security and privacy are built in: Braintrust supports on-premises deployment and complies with SOC 2 and GDPR standards. Whether you're working on LLM hallucination detection, fraud detection, or autonomous driving, Braintrust provides the observability layer you need to ship robust AI. By catching issues early and providing actionable insights, it reduces time-to-market and increases trust in AI systems. With flexible pricing starting at $249/month, Braintrust is accessible to startups and enterprises alike.
Use Cases
Key Features
Real-time model monitoring and performance tracking Automated evaluations with custom metrics Root cause analysis and debugging tools Integration with popular ML frameworks and workflows Collaborative dashboards and alerts On-premises deployment option for securityWho is it for?
AI engineers, ML researchers, and product teams building and deploying AI models
