Galileo

Galileo uses its Luna-2 models (440M parameters) to provide hallucination detection at 97% lower cost than GPT-based evaluation approaches, enabling 100% traffic monitoring rather than sampling. The platform bridges the gap between offline evaluation and production guardrails, allowing teams to deploy the same scoring logic used during development as real-time safety checks. This eval-to-guardrail lifecycle is particularly relevant for agentic systems where tool-calling errors must be caught before they propagate through multi-step workflows.