RyuGen turns underused commercial power into distributed AI infrastructure — high-density NVIDIA compute deployed in existing buildings, without waiting years for new grid capacity.
AI demand is growing faster than the grid can support it. New data centers wait years for power. Existing commercial buildings already have it.
RyuGen puts that power to work. We deploy where the electricity already exists — behind the meter, ahead of the queue.
RyuGen installs modular AI compute in commercial buildings with available power. We monetize the GPUs for inference — and capture the heat they produce, delivering it back to the building.
Compute produces heat. We don't throw it away. 90%+ of GPU power becomes recoverable thermal energy — the same purchased electricity creates two value streams.
Modular, liquid-cooled AI infrastructure designed to deploy inside existing commercial buildings.
Captures 90%+ of GPU heat and converts a cooling liability into useful thermal energy.
Coordinates compute, power and thermal resources across the distributed network.
Helix computes. HeatSync manages heat. Command connects the network.
Deploy behind existing utility meters — no interconnection queue, no greenfield construction.
Liquid cooling handles densities conventional HVAC cannot.
Recover 90%+ of GPU heat instead of rejecting it to the environment.
Standardized nodes scale across buildings, markets and cities.
The hard part isn't putting GPUs in a building. It's getting the heat out. Commercial HVAC was never designed for continuous high-density compute, and bolt-on cooling breaks the economics. HeatSync solves the thermal constraint that keeps commercial buildings from becoming AI infrastructure.
The grid can't build fast enough. We don't wait for it.
Deploy locally. Operate as one network. Each building is a node; together they form dispatchable metro-edge inference capacity.
Between us: midstream gas operations, energy-trading and risk systems, pipeline and thermal engineering, applied data science, and a decade in capital markets and law — the combination this thesis demands.
Energy engineer, data scientist and HeatSync™ inventor. 18+ years across energy infrastructure, engineering and applied data science.
Nearly a decade at Morgan Stanley, Davis Polk and BMO, then founding-team member of a B2B digital-asset startup scaled from $1M to $140M in contract value.
Renewable-energy developer and two-time founder with eight years of project-development experience.
Energy-trading analytics and risk across gas, power, crude and FX — commodity-markets discipline applied to inference capacity.
PhD researcher at the University of Calgary and reservoir engineer with thermal-process expertise.
Mechanical engineer and pipeline project engineer at Venture Global LNG — field ops, hydraulics and project development.