AI compute infrastructure that adds to the grid instead of competing for it. Captive power, edge compute, and continuously-learning orchestration — engineered as a single platform, deployable where standard interconnects can't deliver in time.
AI infrastructure is the largest capital project of the decade. The constraint isn't money — it's power, and the queues to access it. Interconnect timelines have stretched from months to years across every major market.
PowerTo AI removes the queue from the equation. Captive generation, edge compute, and ML orchestration arrive pre-integrated, deployable to host sites or behind-the-meter campuses in 12–18 months — and built so every site adds grid capacity, heat, cooling, EV charging, and grid services into the local system rather than subtracting from it.
A containerised energy hub delivering electrons, heat, cooling, and water recovery. Multi-fuel capability spans natural gas, biogas, e-methanol, and hydrogen blends. Engineered for behind-the-meter deployment.
A containerised distributed compute node. Up to 1 MW IT load, direct liquid-cooled, with three tenant bays and Tier III-equivalent resilience. Thermally coupled to the GenBox so heat returns into the energy loop.
The software intelligence layer at the core of the platform. A four-layer control architecture coordinates energy generation, thermal services, and compute workloads — autonomously, in real time, across the fleet.
Hardware is only half the equation. The orchestration layer acts as the central nervous system bridging digital workloads with physical energy realities in real time — autonomously, across the fleet.
Time-series forecasting models predict incoming compute workloads and localized grid conditions. GenBox preemptively adjusts its multi-fuel generation hours ahead of demand spikes, holding power stability without grid reliance.
A reinforcement learning agent continuously seeks the lowest-PUE operating state, adjusting liquid cooling flow and workload placement based on real-time thermal storage state and compute heat output.
Operational model weights — not raw tenant data — are aggregated across the fleet. The platform sharpens its predictive algorithms collectively without compromising tenant data sovereignty.
Conventional infrastructure treats sustainability and resilience as separate problems — solved with offset credits on one side and diesel backup on the other. The PowerTo AI platform delivers both as emergent properties of the same architectural choice. Each site is built to add capacity to its local system rather than draw from it — the parasitic load inversion the grid increasingly requires from large-load buyers.
Energy produced on-site, sized to the compute load. No transmission distance. No interconnect dependency.
1 MWh electrical, 6 MWh thermal — generation decoupled from demand on both axes. Electrons and joules buffered, dispatched on need.
Absorbs grid surplus that would otherwise be curtailed. Supplies frequency, voltage, and capacity services back when the grid needs them.
Engines running. Output flows direct to consumers. Heat + electricity matched to demand.
Same useful work, less fuel input, less exhaust output — whatever the fuel.
The platform deploys as a host-site installation or as a dedicated behind-the-meter campus. The same hardware, two configurations — covering the full geometry of AI compute demand.
One GenBox plus one EdgeBox co-located at a mixed-use building, retail cluster, or industrial park. Ms-latency AI compute at the edge, with heat, cooling, EV charging, and grid stabilization absorbed by the host as integrated co-benefits.
Multiple GenBox and EdgeBox units co-located at a dedicated site. Hyperscaler-grade AI compute capacity that bypasses grid interconnect queues entirely. Sovereign-grade deployment, jurisdiction-agnostic.
Outcomes the platform commits to. Not internal mechanism — what arrives on site.
From signed deployment brief to first MW delivered in 12–18 months — independent of interconnect queue position.
MW-scale liquid-cooled compute, multi-tenant, with Tier III-equivalent resilience and edge-to-campus deployability.
Domestic AI compute capacity deployable into any jurisdiction with energy autonomy from grid policy and import dependencies.
Behind-the-meter generation with multi-fuel flex — natural gas, biogas, e-methanol, hydrogen blends — sized to the load.
High-grade thermal output and cooling capacity available to host sites as integrated co-benefit — district loops, process heat, HVAC.
Frequency, voltage, and capacity services available to the local utility — turning host sites into grid-positive assets.
Water-positive cooling architecture — recovered from combustion and compute waste streams rather than consumed from supply.
One platform supplier across captive power, edge compute, and fleet orchestration — no system integrator stack to assemble.
Customers pay for delivered power, heat, and AI compute capacity. PowerTo AI owns, deploys, and operates the platform.
We work with four categories of partner. Direct conversations only — no intermediated processes.
