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Galileo AI

Galileo AI

Evaluate, monitor, and guardrail GenAI applications and agents in production

Model & API PlatformAI ObservabilityEvaluationGuardrailsPaid only

Galileo AI is an observability and evaluation platform for generative AI applications. It turns offline evals into production guardrails and monitors agent and RAG behavior with auto-tuned metrics plus Luna models that cover all live traffic.

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Updated

2026-09-15

Platforms

Web / API / Self-hosted

Paid

Paid, enterprise-oriented: the site reviewed offers a demo request rather than published plans, and no free tier is listed. Pricing, deployment options, and trial terms should be confirmed with the vendor.

* Pricing is for reference only; see the official site for current pricing.

Galileo AI preview
galileo.ai

Key Features

  • Evaluation Suite

    Run RAG, agent, safety, security, and custom evals to measure whether an AI system actually works.

  • Guardrails

    Convert tested evals into guardrail policies that check and block harmful responses at runtime.

  • Luna Monitoring

    Distill tuned evals into Luna models that watch every request at a fraction of the usual cost.

  • Flexible Deployment

    Run evaluations inside a virtual private cloud or on-premises, and connect services through an MCP server.

Best For

LLM application engineers

Measure RAG and prompt changes with evals before shipping, instead of debugging failures in production.

Enterprise AI platform teams

Run observability and guardrails inside a private cloud or on-premises to meet internal compliance requirements.

Agent developers

Trace tool-call and workflow failures, then add guardrail policies that block harmful responses.

Pros

  • Covers RAG, agent, safety, security, and custom evaluation types
  • Distills evals into Luna models that monitor all traffic at lower cost
  • Supports virtual private cloud and on-premises deployment
  • Used by enterprise engineering teams including Cisco, NVIDIA, and HP

Considerations

  • No public pricing or free tier on the page reviewed, so evaluation requires contacting sales
  • Aimed at engineering teams already running GenAI in production, not casual prompt testing

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