Arthur vs Galileo

Arthur provides an AI Delivery Engine that enables teams to launch, secure, and optimize AI applications across the full lifecycle, from pre-production evaluations to runtime guardrails and production monitoring. The platform supports traditional machine learning, generative AI, and agentic AI with metrics for data drift, accuracy, hallucinations, toxicity, PII detection, and custom evals, while keeping sensitive data local via a federated data-control plane architecture. It targets enterprise AI teams in regulated sectors like banking, healthcare, and insurance, offering deployment flexibility (SaaS, on-prem, AWS, GCP) and integrations like webhooks to Slack/Jira. Distinct from peers, Arthur emphasizes agent discovery & governance and open-source Evals Engine components for real-time performance insights.Arthur homepage, Arthur platform, pricing, PR Newswire Series B, ZoomInfo, LinkedIn

Galileo is an AI observability and evaluation engineering platform that helps enterprise teams evaluate, monitor, and protect generative AI applications and agents at scale. Its Agent Reliability platform enables teams to build ground-truth datasets, auto-tune evaluation metrics from live feedback, distill LLM-as-a-Judge evaluators into compact Luna models for production guardrails, and run the full eval engineering lifecycle from offline testing to production monitoring. The platform is trusted by teams at HP, Comcast, and Twilio, and is deployable as SaaS, VPC, or on-premises.