Physical AI.
Human DNA.
Facil.AI builds Physical AI for Central Plant/Chillers, HVAC and refrigeration customers. Thirty-five years of AI, Machine Learning and controls engineering is what taught it to run on its own.

Why we exist
Buildings get the technology their teams are willing to tolerate. New systems are hard to adopt, so facility teams stay with what they know.
Keith Gipson spent decades on both sides of that problem, in controls and in AI. By 2020 he had stopped waiting for the industry to fix it, so he built Facil.AI.
Our mission is narrow on purpose. Deliver technology to facilities management that is genuinely easy to adopt. Easy to live with.

The AI is new.
The judgment inside it is not.
In 2004, Keith built an AI correlation engine that found hidden relationships between evidence, people, places and time.
Twenty years later he pointed the same architecture at weather, load and equipment, and gave it the authority to act.
One idea, refined over two decades. Complex systems reveal how they should be run, and software can hold patterns that people cannot.

Four things we will not compromise on
Easy is the hard part.
Anyone can build something complicated. Making autonomous control simple enough that a facilities team will actually use it took us years.
Meet people where they are.
We do not ask you to clean your data, standardize your naming or upgrade your plant before we can help.
Elevate the engineer.
Humans set the operational goals. The AI does the repetitive work no one should be doing at three in the morning.
Evidence, not promises.
We would rather show you a year of operating data than a slide about the future. Ask us for the numbers.

Who we work with
- Multi-site retail, grocery and QSR operators where cooling is the largest controllable load and no team can hand-tune hundreds of sites.
- Universities, logistics and data center estates running chiller plant, AHUs and central plant through an existing BMS.
- VPs of Facilities, Energy Managers and Corporate Real Estate teams accountable for how a building performs, day after day.
- CFOs who want measured savings without a capital project.
If your HVAC, refrigeration or chiller plant already runs through a BMS, we work with what you have. No new hardware. No capital project.
How we think
Most AI in our industry advises. It watches, it reports, and it waits for a person to act. That is why so little changes.
We took a different view. If a system can learn what good operation looks like, it should be trusted to deliver it. So we built AI that acts, then answers for the result.
That needs three things at once: controls expertise, real AI, and the integration skill to make them work on equipment designed for neither.
We have spent twenty years assembling all three.

Facil isn't just our name. It's the promise.
Our name is not only short for facility. Facil means easy, in Spanish, in French, and in the language spoken by facility managers who are tired of overhyped building technology. Physical AI should not need a 12-month rollout, a capital project or a team of coders.
The people behind Facil.AI

I've been in the industry long enough to know that just because everyone does something, doesn't make it right.

My favorite movies inspire me. This is what draws me to facil.ai---the technology, the innovation, it inspires me to think bigger.
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Old software isn't smart; I want to enhance it with new artificially intelligent software. This is a rebellion of intelligence.
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I prefer innovative solutions that persist, and I'm driven by an aversion to conventional thinking.
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Technology earns its place when it solves a real problem. Good marketing turns complexity into clarity and builds trust through evidence, not hype.
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