Meibel started as a problem we couldn't ignore: enterprise AI systems with no real controls over what context was being fed to them.
Kevin McGrath spent three years running AI infrastructure at a financial services company. Every quarter, the same audit question came up: what context did the model actually see when it generated that output? Nobody had a clean answer.
The tools existed to build AI systems. The tools to govern them didn't. In 2022, he founded Meibel to fix that gap — starting with context, because that's where most of the real risk lives.
Today, Meibel works with over 340 engineering teams across 18 countries. The product has grown from a context logging layer into a full governance platform. The founding problem is still the north star: make it possible to understand and control exactly what your AI knows.
Meibel is venture-backed and headquartered in Denver, CO.
Built from a real enterprise AI problem, not a research hypothesis.
Teams in financial services, healthcare, and enterprise SaaS across the globe.
Engineering teams actively governing AI context with Meibel today.
Colorado-based, with team members distributed globally.
You should know exactly what your AI sees. Every context decision in Meibel is logged, labeled, and reviewable. No black boxes.
Governance that breaks your pipeline isn't governance. Meibel runs at sub-100ms latency with 99.9% uptime — so you can enforce without slowing down.
Policy belongs to your team, not ours. You define the rules, set the boundaries, and decide what gets adjusted. Meibel enforces what you tell it to.
Book a 30-minute demo with our team.