Ampere builds GENIE, a world model for industrial energy trained on physics rather than patterns. We point it at the question that stalls most thermal electrification projects: which of your process heat loads can come off fuel, with what equipment, and what the plant costs to operate once it does.

The displaced therms are usually the easy part. The hard part is what the new electric load does to your bill — whether it lands on your coincident peak, what a heat pump’s COP really is at your lift and your ambient conditions rather than at rated conditions, and whether the savings survive your rate structure. Get that number wrong and the first project disappoints, and the second one never gets funded.

GENIE disaggregates thermal demand to the end use — steam, hot water, drying, CIP, refrigeration — and builds load duration curves from interval data and operating schedules rather than from nameplate ratings. That tells you what to install and at what capacity, what it costs to run against your tariff, and what the measured performance is afterward. It also maps the available utility and government incentive programs onto the specific equipment in the project, since the incentive stack is often the difference between a project that pencils and one that doesn’t.

GENIE enforces thermodynamic bounds — COP ceilings, Carnot limits, conservation — so its outputs stay physically admissible rather than merely plausible. It runs on live production data from operating facilities, not simulated load profiles.

We work with heat pump, thermal storage, and electric boiler vendors, and with the developers and financiers behind them, who need facility characterization they can size equipment against or underwrite performance risk with.

For more information about Ampere, please visit https://www.ampereenergy.ai.