
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
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