Galileo
Developer Tools
AI observability, evaluation, and reliability platform for GenAI and agentic applications.
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✂ Features & Specs
Galileo is an observability and evaluation platform that helps teams measure, monitor, and protect AI systems in development and production. The platform provides an Evaluation Engine with prebuilt and custom evaluators, traces and experiment tools, SDKs (Python and TypeScript) and APIs to ingest application traces, and low-latency Luna models to run evaluators as production guardrails. Galileo offers a free developer tier (includes 5,000 traces/month), paid Pro plans and enterprise options for larger scale and security.
Reviews
Mokhtar BOUSBAI
6/1/2026
Strong AI evaluation platform, but mainly for technical GenAI teams
Galileo AI is an AI observability and evaluation platform built for teams developing GenAI applications, chatbots, agents, and LLM-powered products. It helps teams evaluate outputs, monitor production behavior, track traces, detect quality issues, and improve reliability. What works well is its focus on serious AI quality control. Instead of only helping users build an AI app, Galileo helps teams understand whether the app is accurate, safe, consistent, and performing well after launch. This makes it useful for AI startups, product teams, ML engineers, and companies deploying customer-facing AI systems. The main weakness is that Galileo AI is not a beginner tool. Small creators, bloggers, or no-code users who only want to generate content will not need this level of monitoring. To get value, users need technical knowledge, real AI workflows, and enough LLM traffic to justify observability and evaluation. Overall, Galileo AI is a strong platform for teams that care about GenAI reliability, testing, and production monitoring. It is best for serious AI builders, not casual users looking for a simple chatbot or writing assistant.
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