Four solutions. One line of responsibility from power to intelligence.
AI infrastructure fails at the seams — between the utility and the substation, the cooling loop and the rack, the cluster and the application. We plan across those seams so nothing falls between them.
Models run on accelerators; accelerators run on power and cooling; power arrives through a utility interconnection that can take years to secure. We work the chain in that order.
01 / Power
Secure the megawatts
Powered-land screening, utility coordination, substation and interconnection planning.
02 / Infrastructure
Build for the density
Data halls, liquid cooling and electrical distribution sized for 100 kW-class racks.
03 / Compute
Integrate the cluster
Accelerators, network fabric and storage planned as one system with the facility.
04 / Intelligence
Put AI to work
Private, governed AI connected to the systems your organization already runs.
Illustrative rendering — not a real siteA phased campus at dusk
Why one team
Power, cooling and compute are one engineering problem.
A modern GPU rack is a 100 kW-class electrical and thermal load. The grid connection, the cooling loop, the rack and the network have to be designed against each other — and against the next hardware generation.
Interconnection, substation and campus phasing planned together
Liquid cooling and floor loading specified for real rack densities
Cluster fabric, storage and operations designed with the facility
