HyperBase is developing the American Macrogrid, an AI‑orchestrated network of distributed energy assets that clears interconnection queues for hyperscale compute. By using a physics‑informed intelligence system, it dispatches generation, storage, and load in real time, reducing the typical five‑to‑seven‑year wait for new capacity to become operational.
Funding
Funding not disclosed
Founders
Product
Problem
U.S. energy interconnection queues hold over 2.6 TW of generation and storage capacity, creating a five‑to‑seven‑year wait before new power can be connected. This delay limits the deployment of hyperscale compute facilities that require reliable, large‑scale electricity, making energy the primary bottleneck for AI‑driven innovation.
Solution
HyperBase is constructing the American Macrogrid, an AI‑orchestrated network that aggregates distributed generation, storage, load, and compute assets across the United States. Its physics‑informed intelligence platform continuously monitors grid conditions and dynamically dispatches these assets in real time, effectively bypassing traditional interconnection queues. By compressing the energy infrastructure lifecycle into mapping, design, and orchestration phases, the system can provision gigawatts of power on demand for hyperscale data centers. The platform’s three‑layer architecture coordinates distributed resources to meet compute workloads while maintaining grid stability, reducing the typical multi‑year wait to near‑instant availability.
Target Audience
Primary customers are operators of hyperscale compute facilities, AI cloud providers, and large‑scale data center developers that require rapid, reliable access to high‑capacity electricity.
Features
- AI‑driven, physics‑informed dispatch engine that optimizes generation, storage, and load in real time
- Integration of heterogeneous distributed energy resources (renewable generation, battery storage, demand response) into a unified control plane
- Real‑time orchestration topology that isolates and routes power paths to match hyperscale compute demand
- Scalable architecture supporting a pipeline of 0+ GW of active capacity with patent‑pending technology
- End‑to‑end workflow that compresses the energy infrastructure lifecycle from site mapping to operational plant