Galileo is an AI evaluation and observability platform that helps developers test, monitor, and improve AI applications with metrics, guardrails, and real-time insights.

Test, monitor, and improve AI systems with evaluation metrics, guardrails, and real-time observability.

Galileo helps AI teams move from experimentation to production by providing tools to measure and improve AI performance. Developers can evaluate outputs, analyze failure patterns, and deploy guardrails that control model behavior in live environments. This ensures AI systems are not only powerful but also reliable, secure, and aligned with business requirements.

Core Features & Capabilities

Ideal for AI engineers, developers, startups, and enterprises building LLM applications, AI agents, and production AI systems that require monitoring, safety, and performance optimization.

• evaluate ai outputs using advanced metrics and testing frameworks
• detect hallucinations, errors, and unsafe responses in ai systems
• deploy guardrails to control model behavior in production
• monitor ai applications in real time across live traffic
• debug and optimize rag systems, prompts, and agent workflows

Why Teams Choose Galileo

Integrate Galileo into your AI application using its SDK or APIs, define evaluation metrics for your use case, and start analyzing outputs. Use insights to refine prompts, models, and workflows, then deploy guardrails to ensure safe and reliable behavior in production.

“Galileo turns AI evaluation into actionable guardrails, enabling safer and more reliable AI systems.”

Getting Started with Galileo

By combining evaluation, monitoring, and guardrail deployment into a single platform, Galileo enables teams to confidently ship AI applications that are reliable, secure, and scalable.