Site origination & feasibility
Our agentic platform identifies and qualifies sites against power, land, grid, permitting, and community criteria — compressing a months-long siting cycle into days and surfacing opportunities the market overlooks.
The grid is the binding constraint on the AI era. HyperBase is building the American Macrogrid — an AI-orchestrated network of distributed energy assets that clears the queue for hyperscale compute.
■ 01
0+ GWACTIVE PIPELINE
■ 02
0PROJECTS
■ 03
0STATES
■ 04
0HYPERSCALE-CLASS
■ 05
0DISTRIBUTED DC-CLASS
■ 01;
THE CONSTRAINT
U.S. interconnection queues span 2.6+ TW of generation and storage waiting for permission to run. Average wait: five to seven years.
The constraint is not silicon. It is the substation. Centralized dispatch cannot clear the queue at the speed American frontier compute demands.
QUEUED CAPACITY
INTERCONNECT WAIT
QUEUE WITHDRAWAL
A three-layer, physics-informed intelligence system dispatching distributed energy assets against hyperscale demand.
Patent-pending · Provisional U.S. Patent
FIG.01 · ORCHESTRATION TOPOLOGY
HOVER NODE TO ISOLATE PATH
Four engagement modes covering the full lifecycle of an AI campus — from first siting decision to real-time dispatch. The stack is built so the campus operates as part of the grid, not a constraint on it.
Our agentic platform identifies and qualifies sites against power, land, grid, permitting, and community criteria — compressing a months-long siting cycle into days and surfacing opportunities the market overlooks.
We design integrated powered-shell and behind-the-meter energy systems — generation, storage, and grid interconnection — purpose-built for the load profile and ramp curve of hyperscale AI compute.
We advise through construction and energization. As regulatory rulings, interconnection progress, and equipment lead times shift, we keep energy design and procurement current — so the project that gets energized reflects conditions on the ground, not assumptions at kickoff.
Sub-second orchestration of behind-the-meter energy and large-load compute. A physics-informed, multi-agent system that treats the campus, the generation, and the grid as one intelligent system — turning AI campuses into a source of grid resilience, not just a draw on it.