We help inference platforms, AI labs, physical AI, and agentic platforms access the compute market efficiently — what capacity is sold in, the contract forms on offer, tenor, and cost.
We support your capacity planning, and structure commitments that map tightly to what the workload actually needs.
The technical inputs are yours; we don't second-guess them. We structure them into the seven dimensions that decide what you can secure: SLOs, workload profile, traffic profile and mix, preemption tolerance, growth posture, placement and timing.
What supply actually looks like right now: procurement increments, the qualified-host constraint, contract forms, tenor economics, generational cadence. Read monthly; priced for clients.
We structure the commitment against that market: which ladder, which denomination, what tenor, who carries the idle — and what's genuinely negotiable at your commitment size.
We turn the structure into numbers boards, lenders, and diligence will underwrite: margin drivers, utilization, commitment coverage, depreciation and residuals.
For teams running inference, RAG, chat, or agentic tool-calling systems.
See inference & serving procurement →For teams fine-tuning, post-training, running RL, or training simulation and robotics policies.
See training & post-training procurement →The current read on the supply side — refreshed monthly.
A 15-minute conversation about your company's situation and potential needs. No pitch deck, no sales process.
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