We are the risk intelligence and underwriting layer for GPU and AI cloud contracts: underwriting the commitment before you sign it, re-underwriting the book you already signed, and re-rating both as credit, allocation, power and export rules move.
Start with whichever commitments worry you most. The graph, the methodology and the audit trail are the same whichever way you come in.
Before you sign a GPU order, a colocation lease or an anchor customer transaction, get exposure in dollars and GPU-hours, not just a redline.
Match contracted cost against contracted revenue, by duration and by cluster, across your GPU supply and customer contracts.
Allocation slips, a site's energisation date moves, or a customer's credit weakens, and the affected commitments re-rate automatically.
Eight risks sit inside every compute commitment. Offtaker / customer, compute utilization, GPU residual value and regulatory deployment risk are covered today, on one shared graph.
Two customers can carry most of the revenue, and one is often venture-funded.
GPU-hour pricing falls at renewal while the obligations behind the capacity stay fixed.
A five-year obligation sitting under an eighteen-month customer commitment.