Company Overview
AI evaluation and observability platform for detecting hallucinations, toxicity, and quality issues in LLM applications.
Based in Silicon Valley (San Francisco, CA), Galileo AI offers its Galileo Platform as a solution for organizations navigating the complexities of LLM-specific observability including prompt monitoring, token tracking, and response quality. The platform is positioned within the broader AI Observability & Monitoring category, where AI Security Intelligence tracks 32 companies building specialized capabilities.
Founded in 2021, Galileo AI has been building its platform during the critical period when enterprise AI adoption — and the corresponding security challenges — began their exponential acceleration.
Why Watch This Company
In the AI observability space, the gap between 'deployed' and 'understood' remains the biggest operational risk for enterprise AI. Galileo AI addresses this gap through LLM-specific observability including prompt monitoring, token tracking, and response quality — a capability that becomes increasingly critical as AI systems move from experimental deployments to mission-critical production workloads.
Key Facts
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Headquarters
San Francisco, CA
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Category
AI Observability & Monitoring
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Key Product
Galileo Platform
Primary Product
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Galileo Platform
AI evaluation and observability platform for detecting hallucinations, toxicity, and quality issues in LLM applications.
AI Observability & Monitoring Landscape
AI Observability & Monitoring →
AI Observability & Monitoring provides the instrumentation layer that lets organizations understand what their AI systems are actually doing in production. Unlike traditional application monitoring, AI observability must track model performance, data drift, hallucination rates, latency, cost, prompt-response quality, and behavioral anomalies — metrics that don't exist in conventional observability stacks.
32 companies tracked in this category
Buyer's Evaluation Framework
Key questions to evaluate any AI Observability & Monitoring vendor — including Galileo AI:
Does the platform provide real-time monitoring of model performance, including hallucination detection, drift measurement, and response quality scoring?
Can the solution trace full request lifecycles across complex AI chains (RAG pipelines, multi-agent workflows, tool-calling sequences)?
How does the vendor handle cost optimization — can it track and attribute token usage, compute costs, and model efficiency?
Does the platform integrate with your existing observability stack and support OpenTelemetry standards?
Featured Profiles in AI Observability & Monitoring
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Category Peers — AI Observability & Monitoring
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Scale AI
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Traceloop
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Vectra AI
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