Start as a managed capacity operations service for AI compute providers, neoclouds, and large internal AI infrastructure teams. The first offer is a 6 to 8 week capacity operating model implementation: ingest contract, inventory, scheduler, telemetry, CRM^?, and billing data; reconcile usable capacity; create scenario models; and run a weekly capacity review cadence. Over time, repeatable templates, connectors, and allocation logic can become a productized service or lightweight software layer.

AI compute supply is expensive, scarce, heterogeneous, and increasingly tied to customer commitments. The job signals show multiple companies hiring for end-to-end capacity intelligence because spreadsheets and fragmented dashboards are no longer enough.