Galileo evaluates, monitors, and protects generative AI applications through observability tools for AI teams.

galileo.ai
Galileo homepage screenshot

About Galileo

Galileo is an AI observability and evaluation platform for generative AI applications, including RAG systems and agents. It supports building datasets from synthetic, development, and live production data with subject matter expert annotations, and provides out-of-box evals for RAG, agents, safety, and security alongside custom evaluators.

Eval metrics can be tuned from live feedback, and optimized evals can be distilled into Luna models for production monitoring. Eval scores can be used to control agent actions, tool access, and escalation paths through guardrail policies. Deployment is available as SaaS, Virtual Private Cloud, or on-premises.

Key features

  • Build datasets from synthetic, development, and live production data
  • Auto-tune eval metrics from live feedback
  • Out-of-box evals for RAG, agents, safety, and security
  • Custom evaluators to encode domain expertise
  • Distill evals into Luna models for production monitoring
  • Guardrail policies controlling agent actions and escalation paths
Best for: AI teams building and operating RAG systems and agents that need evaluation and production monitoring.
Good for
  • Supports SaaS, Virtual Private Cloud, and on-premises deployment
  • Includes out-of-box evals for RAG, agents, safety, and security plus custom evaluators
  • Links pre-production evals to production guardrail policies

Galileo at a glance

Website
galileo.ai
Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 5, 2026 · Online when checked
Listed
Oct 5, 2026

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Galileo FAQ

What evaluation types are covered?
RAG, agent, safety, and security evals, with 20+ out-of-box evals and support for custom evaluators.
What deployment options are available?
SaaS, Virtual Private Cloud, and on-premises.
How are evals used in production?
Optimized evals are distilled into Luna models for monitoring, and eval scores control agent actions, tool access, and escalation paths.
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