Galileo
by Galileo
The AI observability and evaluation platform for GenAI apps and agents
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.
Galileo is an enterprise AI observability and evaluation platform that transforms offline evaluations into production safeguards through what it calls an eval-to-guardrail lifecycle. It ships more than 20 out-of-the-box evaluators for RAG, agents, safety, and security, lets teams build custom evaluators, and auto-tunes metrics from live production feedback for higher accuracy than generic alternatives. Its proprietary Luna distillation technology compresses expensive LLM-as-judge evaluators into compact Luna models that can monitor 100% of production traffic at roughly 96% lower cost, while an insights engine analyzes agent behavior to surface failure modes, hidden patterns, and prescribed fixes. Guardrails let evaluation scores automatically control agent actions, tool access, and escalation paths without glue code. Galileo offers a free tier (5,000 traces/month, unlimited users and custom evals), a Pro plan at $100/month (50,000 traces, RBAC, advanced analytics), and an Enterprise plan with unlimited traces, SSO, real-time guardrails, and dedicated inference — deployable as hosted SaaS, in a virtual private cloud, or on-premises.
At a Glance
- Category
- Developer Tools
- Pricing
- Freemium, Subscription, Usage-based
- Target Market
- AI Engineers, Data Scientists, Enterprise Developers, ML Platform Teams
Key Features
- ✓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.
- ✓Eval-to-guardrail lifecycle
Turns offline evaluation scores into runtime guardrails that control agent actions, tool access, and escalation paths.
- ✓Agent insights engine
Analyzes agent behavior to identify failure modes, surface hidden patterns, and prescribe fixes for faster debugging.
- ✓Auto-tuning metrics
Continuously tunes evaluation metrics from live production feedback for higher accuracy than generic evaluators.
Capabilities
Use Cases
- •Production GenAI monitoring
Continuously monitor RAG and agent applications for quality, safety, and security issues in production.
- •Real-time guardrailing
Use evaluation scores to automatically block unsafe agent actions or escalate before they execute.
- •Agent debugging
Trace and diagnose multi-agent failure modes with an insights engine that prescribes concrete fixes.
Ideal For
Best For
- ✓Evaluating and monitoring RAG and multi-agent applications in production
- ✓Running real-time guardrails on agent actions and tool access
- ✓Debugging AI agent failure modes at enterprise scale
Integrations
Deployment
Market Analysis
Pros
- ✓Cost-efficient full-traffic monitoring via distilled Luna models
- ✓Flexible deployment across hosted, VPC, and on-prem
- ✓Generous free tier for experimentation
Cons
- ✗Trace-based pricing can scale quickly for high-volume production apps
- ✗Advanced guardrails and SSO are gated to the Enterprise plan
Pricing
Free
$0
- ✓5,000 traces/month
- ✓Unlimited users
- ✓Unlimited custom evals
Pro
From $100/mo
- ✓50,000 traces/month
- ✓Standard RBAC
- ✓Advanced analytics & insights
- ✓Dedicated Slack support
Enterprise
Contact for pricing
- ✓Unlimited traces
- ✓SSO and enterprise RBAC
- ✓Real-time guardrails
- ✓Hosted, VPC, or on-prem deployment
- ✓24/7 support
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.
Sources
This page was written from 2 sources.
- 1.galileo.ai — galileo.aivendor
- 2.galileo.ai — pricingvendor
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