Galileo
Galileo is an AI evaluation and observability platform that helps developers test, monitor, and improve AI applications with metrics, guardrails, and real-time insights.
Overview
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
Trending Use Cases
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.
Open the tool and review its core product experience.
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Use your own task to judge speed, quality, and fit.
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Galileo
Galileo is an AI evaluation and observability platform that helps developers build reliable, safe, and production-ready AI systems through metrics, monitoring, and guardrails.
Galileo is an enterprise-grade AI evaluation and observability platform designed to help teams build reliable and production-ready AI systems. It enables developers to evaluate model performance, detect issues like hallucinations or unsafe outputs, and monitor AI applications in real time. By turning evaluation metrics into guardrails, Galileo allows teams to control AI behavior, improve reliability, and ensure safe deployment. It supports workflows across LLM development, RAG systems, and AI agents, making it a core tool for modern AI engineering and deployment pipelines.
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