Galileo AI

Galileo: Make your AI safer, smarter, and stress-free with easy-to-use monitoring and insights.

Overview

Galileo helps teams capture data, run precise AI evaluations, and turn those insights into automated guardrails that keep AI systems reliable and safe in production.

Key features

20+ out-of-box evals for RAG, agents, safety, and security
Custom evaluator building with domain expertise encoding
Luna-2 small language models for low-latency production monitoring
Auto-tuning metrics from live feedback
End-to-end agent behavior visibility and failure mode detection
Real-time guardrails with policy-based controls
Multi-deployment options: SaaS, VPC, on-premises
Integration with NVIDIA NeMo and other AI frameworks

Pros

Converts expensive offline evals into efficient production guardrails
Provides actionable insights for rapid debugging and iteration
Supports full eval engineering lifecycle from development to production
Low-latency, cost-effective monitoring with Luna models
Enterprise-grade security and deployment flexibility
Trusted by leading enterprises and AI teams

Cons

Requires understanding of evaluation engineering concepts
Pricing scales with trace volume, which may increase costs for high-traffic applications
Learning curve for building custom evaluators and optimizing metrics

Use this if

You need comprehensive AI observability and evaluation tools to measure agent reliability, detect production failures before they impact users, or implement real-time guardrails for GenAI applications at enterprise scale.

Skip this if

You're building simple rule-based systems or don't require production monitoring and evaluation capabilities for AI applications.

Best for

AI teams building and deploying agents and RAG systemsEvaluating and monitoring GenAI application reliabilityDetecting hallucinations and safety issues in productionImplementing real-time guardrails for AI systemsEnterprises requiring observability at scale