Book a Demo | Galileo’s AI Reliability & Evaluation Platform

Shipagentswithtrustandcontrol

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.

Trusted by enterprised, loved by developers

Thenumbersfromteamsalreadyinproduction

$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

FAQ

We already have evals in place. Why would we switch?

Our engineers can build this internally. Why wouldn't we?

We're not confident our eval data is good enough to get started.

What happens to our data? We're in a regulated industry.

"There is a strong need for an evaluation toolchain across prompting, fine-tuning, and production monitoring to proactively mitigate hallucinations. Galileo offers exactly that."

Waseem Alshikh
Co-founder | CTO, Writer

"Launching AI agents without proper measurement is risky for any organization. This important work Galileo has done gives developers the tools to measure agent behavior, optimize performance, and ensure reliable operations – helping teams move to production faster and with more confidence."

Vijoy Pandey
SVP, Outshift by Cisco

"Before Galileo, getting from 70% to 100% accuracy was a significant challenge. With Galileo, we've not only improved our responses but also scaled our services efficiently."

Randall Newman
Chief Product Officer | Co-founder, Satisfi Labs

"Before Galileo, we could go three days before knowing if something bad is happening. With Galileo, we can know in minutes. Galileo fills in the gaps we had in instrumentation and observability."

Darrel Cherry
Distinguished Engineer, Clearwater Analytics