Galileo AI is a cutting-edge observability and evaluation platform designed to make AI systems, especially generative AI applications and agents, more reliable and trustworthy. By automating the evaluation of AI models and integrating continuous testing into the development lifecycle, Galileo enables teams to ship AI features faster and with higher confidence. The platform provides real-time protection against common AI risks such as hallucinations, personally identifiable information (PII) leaks, and prompt injections. Trusted by leading enterprises, Galileo empowers developers to identify failure modes, gain actionable insights, and rapidly debug AI behaviors while supporting flexible deployment options including SaaS, cloud, and on-premises.
Key Features:
Automated evaluations that replace manual reviews, cutting evaluation time by 80% with adaptive metrics for offline and online testing.
Rapid iteration support by automating tests across prompts and models, helping uncover root causes and improve AI performance.
Real-time monitoring and protection providing 100% sampling in production to block hallucinations, data leaks, and other prompt attacks.
Flexible deployment options with SaaS, cloud, and on-premises setups, enabling easy integration into varied enterprise environments.
Use Cases:
Ensuring accuracy, safety, and compliance of AI agents and large language models in production environments.
Quickly identifying AI failure modes and debugging issues to maintain stable, reliable user experiences.
Embedding continuous evaluation and guardrails into AI development workflows for robust product releases.