Keywords AI

Confident AI vs Galileo AI

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

Quick Comparison

	Confident AI	Galileo AI
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	Open Source	Freemium
Best For	Developers who want to add automated LLM evaluation testing to their CI/CD pipeline	AI teams who need to measure and improve the quality of their LLM outputs
Website	confident-ai.com	rungalileo.io
Key Features	DeepEval open-source evaluation framework 14+ evaluation metrics Benchmarking suite Pytest integration Conversational evaluation support	LLM output quality evaluation Hallucination guardrails RAG evaluation metrics Data-centric AI debugging Automated error detection
Use Cases	Unit testing LLM applications Automated evaluation in CI/CD pipelines Benchmarking across model versions RAG evaluation with custom metrics Regression testing for prompts	Monitoring LLM output quality Detecting and preventing hallucinations Evaluating RAG pipeline accuracy Debugging data quality issues Continuous quality assurance

When to Choose Confident AI vs Galileo AI

Choose Confident AI if you need

Unit testing LLM applications
Automated evaluation in CI/CD pipelines
Benchmarking across model versions

Pricing: Open Source

Choose Galileo AI if you need

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

Pricing: Freemium

About Confident AI

Confident AI develops DeepEval, the most popular open-source LLM evaluation framework. DeepEval provides 14+ evaluation metrics including faithfulness, answer relevancy, contextual recall, and hallucination detection. The Confident AI platform adds collaboration features, regression testing, and continuous evaluation in CI/CD pipelines.

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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

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 →