Keywords AI

Galileo AI vs Patronus AI

Compare Galileo AI and Patronus AI side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

	Galileo AI	Patronus AI
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	Freemium	Enterprise
Best For	AI teams who need to measure and improve the quality of their LLM outputs	AI teams that need rigorous, automated quality evaluation and safety testing
Website	rungalileo.io	patronus.ai
Key Features	LLM output quality evaluation Hallucination guardrails RAG evaluation metrics Data-centric AI debugging Automated error detection	Automated LLM evaluation platform Hallucination detection RAG-specific evaluation metrics Red-teaming capabilities CI/CD integration
Use Cases	Monitoring LLM output quality Detecting and preventing hallucinations Evaluating RAG pipeline accuracy Debugging data quality issues Continuous quality assurance	Detecting hallucinations in production RAG quality evaluation Adversarial testing of LLM systems Continuous evaluation in CI/CD Model comparison and selection

When to Choose Galileo AI vs Patronus AI

Choose Galileo AI if you need

Monitoring LLM output quality
Detecting and preventing hallucinations
Evaluating RAG pipeline accuracy

Pricing: Freemium

Choose Patronus AI if you need

Detecting hallucinations in production
RAG quality evaluation
Adversarial testing of LLM systems

Pricing: Enterprise

About Galileo AI

Galileo is a data intelligence platform for AI that helps teams evaluate, debug, and improve LLM applications. It provides metrics for hallucination detection, context adherence, chunk quality, and response completeness. Galileo's guardrails can be deployed in production to catch quality issues in real-time.

View Galileo AI profile →Visit website

About Patronus AI

Patronus AI provides automated evaluation and testing for LLM applications. The platform detects hallucinations, toxicity, data leakage, and other failure modes using specialized evaluator models. Patronus offers pre-built evaluators for common use cases and supports custom evaluation criteria, helping enterprises ensure AI safety and quality before and after deployment.

View Patronus AI profile →Visit website

What is Observability, Prompts & Evals?

Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.

Browse all Observability, Prompts & Evals tools →