Solutions · Infrastructure Coordination

One system. Governed as one.

AI infrastructure is a coordination problem before it is a hardware problem. We design the operating layer that treats power, cooling, network and compute as a single distributed system.

Domain
Cross-stack
Telemetry
Per-second
Decisions
Closed-loop
Interface
Open protocols
S/04 · Thesis

When the GPU, the chiller and the grid disagree, you lose throughput.

Most data centers are operated as four independent stacks — electrical, mechanical, network and IT — with humans bridging the seams. At frontier scale, that seams are where throughput dies, where availability drops and where energy is wasted.

Our coordination layer instruments each domain at per-second resolution and closes the control loop across them. Training jobs respect thermal envelopes. Cooling pre-empts ramp events. Power smooths to the grid. Network re-routes around fabric incidents before the scheduler notices.

Cross-jurisdiction coordination map
Fig. — In situ
Capabilities
  • 01 · Cross-stack telemetry
    Per-second observability across electrical, mechanical, fabric and workload planes.
  • 02 · Closed-loop control
    Policy-driven coordination of cooling, power-shaping and workload scheduling.
  • 03 · Grid interaction
    Bidirectional signaling with utilities and BESS for ramp smoothing and demand response.
  • 04 · Incident pre-emption
    Predictive thermal and fabric models that shift workload before degradation surfaces.
  • 05 · Open protocols
    Built on open telemetry and control standards — no vendor lock at the coordination layer.
Next system · AI Data Center Infrastructure
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A small number of engagements per quarter. We work with sovereign funds, frontier labs and hyperscale operators on infrastructure that lasts.