Ship agents with trust and control
A 30-minute session with Galileo will show you how to ship AI agents with accurate evals, full observability, and guardrails that actually hold in production.
What we cover in 30 minutes
Evaluate: See how teams build high-accuracy evals that auto-tune to their use case. We'll show you why most LLM-as-judge setups are only 70% accurate out of the box, and how closing that gap can reduce eval costs by 97% and cut latency by 93%.
Observe: See full agent graph tracing across an entire multi-agent system. Not 10% sampling. 100% visibility into every trace, tool call, and failure mode.
Control: See how evals become your guardrails. Runtime blocking, centralized policies, and agent controls that scale across your entire AI program.
Request a demo
Schedule time to learn about our AI observability and eval engineering platform
Trusted by enterprised, loved by developers
The numbers from teams already in production
$25M annual compute saved
Compared with 100% LLM-as-judge eval coverage
97% eval cost reduction and 93% reduction in eval latency
Luna vs. LLM Judges
12x POC-to-production velocity
Across enterprise deployments
