Galileo AI
AI observability platform for evaluating and monitoring generative AI apps.
About Galileo AI
Galileo AI is an observability and evaluation platform for teams building generative AI applications and agents, covering the workflow from pre-release testing through production monitoring. At its core are Luna, a family of proprietary evaluation foundation models fine-tuned for specific tasks such as detecting hallucinations, checking context quality, spotting data leakage, and catching malicious prompts, which the company says allows monitoring of all production traffic at a fraction of the cost of using general-purpose LLMs as judges. The platform is organized around three stages: evaluation, where teams compare combinations of prompts, models, embedding parameters, and chain nodes to find the best configuration before shipping; monitoring, which tracks live applications for latency, cost, and behavior with traces and alerts; and protection, which applies guardrail policies to catch errors, hallucinations, and security risks in production. Galileo also includes over 20 pre-built evaluation metrics for retrieval-augmented generation and agent use cases, plus tools for building custom evaluators for domain-specific needs. Galileo is aimed at enterprise AI teams and developers shipping GenAI applications at scale, and is available as SaaS, in a customer's virtual private cloud, or on-premises. The company reports strong enterprise adoption, including several Fortune 50 customers, though the site does not publish detailed pricing or a list of specific third-party integrations.
At a glance
- Platforms
- Web
- Last verified
- August 2026
Who It's For
- •AI development teams in enterprises
- •Data scientists and machine learning engineers
- •AI safety and security professionals
- •Organizations deploying large language models
- •Teams requiring scalable and automated AI evaluation
How It Works
- 1Automates AI evaluation using high-accuracy, adaptive metrics to measure performance, safety, and security.
- 2Enables continuous testing in development and deployment stages, integrating with CI/CD workflows.
- 3Analyzes AI behavior to identify failure modes, surface insights, and prescribe fixes for debugging.
- 4Provides real-time protection features to block hallucinations, PII leaks, and prompt injections before production.
- 5Supports low-latency evaluations on GPU clusters, suitable for enterprise-scale AI workflows.
How to Use Galileo AI
- 1Set up evaluation objectives and select or customize evaluators within the platform.
- 2Integrate Galileo with your AI development pipeline and deploy for offline or online testing.
- 3Use the platform to run automated evaluations and monitor AI performance continuously.
- 4Analyze failure signals and behavior insights to improve models and fix issues.
- 5Implement real-time protection policies to block harmful outputs in production environments.
Key Features
- •Luna evaluation foundation models
- •Pre-built RAG and agent evaluation metrics
- •Custom evaluator building
- •Production monitoring with traces and alerts
- •Guardrail policies for hallucination and security risks
Use Cases
- •Evaluating LLM and agent configurations before release
- •Monitoring production GenAI traffic for cost and latency
- •Detecting hallucinations and data leakage in AI outputs
- •Applying guardrails to block malicious prompts
Pros & Cons
Advantages
- •Provides automated and adaptive evaluations that save time
- •Supports continuous testing with low-latency metrics
- •Enables proactive safety and security protections in production
- •Flexible deployment options suited for enterprise needs
Disadvantages
- •Potential complexity for smaller teams or projects
- •Requires GPU infrastructure for optimal performance
- •Limited information on pricing and specific integrations
Alternatives
- Arize AI
- LangSmith
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Frequently Asked Questions
What is Galileo AI?
Galileo AI is an observability and evaluation platform for teams building generative AI applications and agents, covering the workflow from pre-release testing through production monitoring. At its core are Luna, a family of proprietary evaluation foundation models fine-tuned for specific tasks such as detecting hallucinations, checking context quality, spotting data leakage, and catching malicious prompts, which the company says allows monitoring of all production traffic at a fraction of the cost of using general-purpose LLMs as judges.
How much does Galileo AI cost?
Galileo AI uses custom pricing — contact the vendor for a quote.
Is Galileo AI free?
Galileo AI is a paid tool and does not offer a free plan.
What are the best Galileo AI alternatives?
Popular Galileo AI alternatives include Arize AI, LangSmith.
What is Galileo AI used for?
Galileo AI is commonly used for Evaluating LLM and agent configurations before release, Monitoring production GenAI traffic for cost and latency, Detecting hallucinations and data leakage in AI outputs.
What platforms does Galileo AI support?
Galileo AI is available on Web.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.