Galileo AI (Agent Reliability Platform)
Overview
AI observability and eval platform for monitoring, evaluating, and guardrailing GenAI apps and multi-agent systems.
Galileo AI is an AI observability and evaluation platform for teams building GenAI applications and agents. It helps teams create datasets, run offline evaluations, inspect traces and agent behavior, detect failures such as hallucinations and unsafe outputs, and turn evaluation metrics into production guardrails. The platform is positioned for enterprise-scale reliability workflows, with deployment options including SaaS, virtual private cloud, and on-premises.
AI Agent Store research
What the evidence says about Galileo AI (Agent Reliability Platform)
Galileo AI is positioned as an observability and eval engineering platform where offline evaluations can become production guardrails for GenAI applications and agents. Its distinctive angle is the combination of dataset creation, out-of-box and custom evals, agent tracing/debugging, insights, and deployment options for enterprise environments. Sources: official-product, youtube-demo.
Verified September 1, 2026
Verified capabilities
- AI observability and evaluation
Galileo describes the product as an AI observability and evaluation platform for evaluating, monitoring, and protecting GenAI applications and agents at enterprise scale.[1]
- Eval-to-guardrail workflow
The platform positions offline evaluations as production guardrails and says evaluation scores can control agent actions, tool access, and escalation paths.[1]
- Ground-truth and dataset creation
Galileo says teams can build datasets from synthetic, development, and live production data, and capture subject-matter expert annotations.[1]
- Out-of-box and custom evals
The official page states that Galileo includes 20+ out-of-box evals for RAG, agents, safety, and security, plus support for custom evaluators.[1]
- Agent debugging insights
Galileo’s insights engine is described as analyzing agent behavior to identify failure modes, surface hidden patterns, and prescribe fixes.[1]
- Low-cost production monitoring with Luna models
The official page says Galileo can distill optimized evals into Luna models that monitor 100% of traffic at 96% lower cost, and also references low-latency execution on L4 GPUs.[1]
Where it fits best
Important considerations
- No public starting price is provided in the supplied context; the official page promotes getting started for free and booking a demo.[1]
- This is not a standalone end-user autonomous agent; it is an observability, evaluation, and guardrail platform for teams building GenAI applications and agents.[1]
- The supplied official context lists SaaS, virtual private cloud, and on-premises deployment options, but does not provide evidence that the platform is open source.[1]
Sources and research method (1)
We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.
- Galileo AI: The AI Observability and Evaluation PlatformOfficial site · checked 2026-09-01
Autonomy level
64%
Comparisons
Custom Comparisons
Some of the use cases of Galileo AI (Agent Reliability Platform):
- Evaluating agent behavior before production
- Monitoring GenAI applications and multi-agent systems
- Building RAG, safety, security, and custom evals
- Creating production guardrails from evaluation metrics
- Debugging failures with traces, insights, and metrics
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Popularity level: 77%
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