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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Galileo
Galileo

Galileo

Founded by Vikram Chatterji in 2021

Evaluate, monitor, and protect generative applications and agents across development and production

Pricing model

Free trial, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Galileo to evaluate, monitor, and safeguard generative AI applications and autonomous agents. It provides pre-built evaluators for retrieval augmented generation, safety, and agent workflows while letting you create custom evaluation metrics. The system translates testing benchmarks into production guardrails to stop hallucinations, toxic responses, and security risks in real time. It also surfaces detailed traces and failure modes across model calls, prompts, and tool actions, allowing engineering teams to pinpoint root causes and fix agent errors before deployment.

What Galileo does

Trace multi-step AI agent workflowsDetect hallucinations in model responsesDeploy real-time safety guardrailsBuild custom evaluation datasetsEvaluate RAG retrieval context relevanceBenchmark prompt variations before deploymentRun pre-built evaluation metrics for RAG, autonomous agents, and AI safetyDistill expensive LLM judge evaluations into low-latency Luna evaluation modelsConvert offline pre-production evaluations directly into real-time production guardrailsAnalyze multi-turn agent execution traces to pinpoint hallucination and tool failuresReceive automated prescriptive recommendations to fix prompt and model errorsDeploy via cloud SaaS, Virtual Private Cloud, or on-premises environments

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
FreeFree
Pro$100 / mo

Tutorials & Demos

Frequently asked

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Galileo, AI observability, LLM evaluation, RAG evaluation, agent evaluation, AI guardrails, prompt evaluation, Luna models, LLM monitoring, AI tracing, hallucination detection, prompt debugging, ML evaluation, generative AI safety, AI reliability