Galileo

Galileo is an AI observability and evaluation platform that lets teams evaluate, monitor, and protect generative-AI applications and agents at enterprise scale. It is built for AI and ML engineering teams shipping RAG systems and multi-agent applications who need production-grade quality metrics and guardrails.

Category

Developer Tools

Pricing

Freemium, Subscription, Usage-based

Target Market

AI Engineers, Data Scientists, Enterprise Developers, ML Platform Teams

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  20+ out-of-box evaluators

  Prebuilt evaluations for RAG, agents, safety, and security, plus custom evaluators for domain-specific needs.

• ✓
  Luna evaluation models

  Distills LLM-as-judge evaluators into compact Luna models that monitor 100% of traffic at about 96% lower cost.

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  Eval-to-guardrail lifecycle

  Turns offline evaluation scores into runtime guardrails that control agent actions, tool access, and escalation paths.

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  Agent insights engine

  Analyzes agent behavior to identify failure modes, surface hidden patterns, and prescribe fixes for faster debugging.

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  Auto-tuning metrics

  Continuously tunes evaluation metrics from live production feedback for higher accuracy than generic evaluators.

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  Production GenAI monitoring

  Continuously monitor RAG and agent applications for quality, safety, and security issues in production.

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  Real-time guardrailing

  Use evaluation scores to automatically block unsafe agent actions or escalate before they execute.

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  Agent debugging

  Trace and diagnose multi-agent failure modes with an insights engine that prescribes concrete fixes.

Pricing scales with the number of traces; the Pro plan is billed yearly (advertised 33% savings) and Enterprise adds unlimited traces, SSO, and dedicated inference.