Institutional GPU capacity, priced and settled by autonomous agents — inside bilateral contracts that no one else on the ledger can see.
Regulated institutions training models today choose between a duopoly's price list and a public ledger that broadcasts their strategy. Neither is a real option.
Every compute job is a bilateral contract. The workload operator and the hardware provider hold the only copies. Nobody else gets a row — not a competitor, not another provider, not an indexer.
Participants see the parts of a workflow they are party to. Nothing more, ever.
Compute delivery and payment clear in one transaction, or neither happens.
Every action is signed and reconstructable for your regulator — and only your regulator.
Four moves, no humans in the loop, no counterparty trust required. Hover a card to hold it.
Spec, region, deadline and mandate ceiling — signed and sealed inside your own node.
Provider agents quote privately. Yours picks on price, latency and attestation class.
Throughput, uptime and enclave attestation are checked continuously against the contract.
Value moves the instant the SLA clears. No escrow desk, no invoicing, no trust.
Autonomy is only investable if it is bounded. Every agent action is checked against a mandate the ledger itself enforces.
Sources capacity, negotiates price, never exceeds your ceiling.
Signs delivery evidence. Payment cannot release without it.
Shifts load between providers as price and health move.
Funds contracts, reconciles positions, reports to your ledger.
Capacity joins the network only with a hardware attestation, a jurisdiction and a signed SLA. Idle racks become bookable inventory.
Target utilisation for enrolled clusters — the hours you used to give away.
The institutions spending it are actively shopping for an alternative — one that satisfies procurement, risk and the regulator at the same time. That is the entire opportunity.