Arqis is the risk intelligence and underwriting layer for AI infrastructure. We help AI infrastructure operators, lenders, investors, insurers and strategic counterparties understand, structure and transfer the new economic risks that are not well covered by traditional insurance today.
| Contract | Counterparty | Value | Exposure | Status |
|---|---|---|---|---|
| GPU supply agreement | Neocloud, US | $500.0m | $12.4m | Just added |
| Compute lease | Data centre op., SA | $84.0m | $8.1m | Monitored |
| Colocation MSA | Cloud operator, UAE | $61.2m | $2.3m | Monitored |
| Transformer supply | OEM, delivery slipped | $14.5m | $8.4m | Re-rated |
One platform, one risk methodology, one audit trail. Only the entry point changes: most customers start with the contracts they are most worried about, then extend to the rest of the book.
In origination, structuring or approval. Not yet committed.
Signed under time pressure, inherited, or never diligenced to this standard.
Credit, ownership, sanctions, power, delivery, hardware or regulation moves.
Two contracts in an illustrative book trace to the same ultimate parent. The parent is downgraded two notches and the guarantee test fails.
| Contract | Counterparty | Value | Exposure | Status |
|---|---|---|---|---|
| GPU supply agreement | Neocloud, US | $500.0m | $12.4m | Monitored |
| Compute lease | Data centre op., SA | $84.0m | $8.1m | Monitored |
| Colocation MSA | Cloud operator, UAE | $61.2m | $2.3m | Monitored |
| Transformer supply | OEM, Korea | $14.5m | $1.2m | Monitored |
Eight risks sit inside every transaction. Offtaker / customer, compute utilization, GPU residual value and regulatory deployment risk are covered today, on one graph, with the other four built on the same record so nothing is re-entered as they arrive.
A customer weakens, defaults, downsizes or fails to renew after infrastructure has been committed around them.
You build the GPU or MW capacity, but actual demand and utilization fall below the level required to support the investment case.
The hardware still works, but newer chips or architectures reduce its earning power, resale value or useful economic life faster than expected.
GPU-hour, token or compute pricing declines faster than expected, compressing revenue even when utilization remains high.
Export controls, sanctions or AI rules change after deployment and restrict which chips, customers, workloads or jurisdictions can be served.
A large headline contract provides less real protection than expected because termination, volume, pricing or guarantee provisions weaken the revenue.
A new GPU, accelerator architecture or software stack makes existing infrastructure economically uncompetitive before the end of its expected life.
Models and inference software become much more efficient, so the same AI workload requires significantly less compute than originally assumed.
The eight risks are the same everywhere. What differs is which one breaks your book first, and that is where each brief starts.
Duration mismatch between long GPU and power commitments and much shorter customer contracts, priced in dollars and GPU-hours.
Tenant credit, grid access, EPC delivery and regulation, read as one graph instead of five disconnected systems.
Allocation commitments, lead-time risk and warranty exposure on the orders that sit upstream of every AI infrastructure transaction.
Borrowing-base tests, covenant resets and residual-value risk on GPU, data-centre and compute-offtake financing.
Counterparty, delivery and regulatory risk on cross-border AI infrastructure capital, kept current for the life of the hold, not just at close.
Structured exposure and evidence an underwriter accepts, with accumulation across tenants, OEMs and grids made visible before it is written.
The buy-side view: screen the supplier, price the commitment and structure the agreement before you commit capital to it.
Whose budget it comes from, what it displaces, and what we need from you to prove it on your own book in the first thirty days.
Run Arqis alongside your current process: one new transaction, one signed contract set, or your live portfolio under monitoring. You baseline it, we run it, and you compare. The fee is at risk against a number you set on day one.