AIIC works out what your workload actually requires, then tests the infrastructure market against it.
You get the viable options, the trade-offs between them, the evidence behind every conclusion and the questions still open. Not another provider’s pitch.
For AI companies, infrastructure is a large and fast-moving cost, and a source of risk that rarely reaches board reporting until it has already hit margin. AIIC looks across the companies you back and shows which of them carry that exposure.
Before capital is committed, the decision needs to be understood — not merely researched.
“Our inference bill tripled in one quarter.”
Finance“Three providers, three different right answers.”
Engineering“Legal needs residency. The platform needs throughput.”
Compliance“We need capacity in 90 days. Nobody will commit.”
PlatformAll four are the same question wearing different clothes, and none of them can be settled with the information currently on the table.
A hyperscaler, a neocloud and a sovereign provider can each build a credible case for themselves. None of them is evaluating the others.
You end up comparing sales narratives instead of infrastructure.
Finance optimises cost. Engineering optimises performance. Compliance optimises control. The platform team optimises what can realistically be delivered. Each is correct on its own axis.
The decision stalls, or it goes to whoever argues hardest.
“Available” can mean installed, committed or actually allocatable. Benchmarks are vendor-run. Delivery dates are intentions until they are contracts.
You commit for years against claims nobody has verified.
AIIC shows the knock-on effects up front: what is known, what is uncertain, and what that uncertainty could cost.
You describe the problem in plain language. AIIC researches the context, derives the requirements, tests the available options and shows you what remains viable — including what is still unknown.
Simplified illustration A shortened version of the process, not the full investigation. A real session asks more, works from continuously researched market intelligence and ends in a complete recommendation report. The figures below are illustrative.
Company X, EuropeWe are moving our AI application into production and we need to know where the infrastructure should run.
AIIC establishes context before it asks for anything: what the application does, who uses it, where those users are, and what stage the company is at.
It has already narrowed what it can narrow on its own. This is the one answer it cannot derive, and it changes which options survive.
AIICOf these four, which matters most for this deployment?
Options whose evidence is too weak to evaluate are removed rather than guessed at.
AIICWhen do you need production capacity?
AIIC builds your context and derives your requirements before it looks at a single option. No vendor sits at the start of the process.
It researches first, then comes back with one question at a time, and only when your answer would actually change the outcome.
Economics, performance, capacity, availability, sovereignty, geography, scale and risk are weighed together, because in practice they trade against each other.
Each finding arrives with its source, how strong that evidence is, and what still needs validating. Where AIIC does not know something, it says so.
What you are running, where it needs to run, what matters most. Plain language, no intake form.
Your workload becomes an architecture, a technology profile and a set of hard constraints.
Every candidate is checked against your requirements and against the strength of its own evidence.
Three options, each with its rationale, the evidence behind it and the questions still open, reviewed by an infrastructure expert before it reaches you.
Figures are illustrative. The shape of the funnel changes with the workload, the constraints and the evidence available.
One document that engineering, finance and compliance can all read, argue with, and sign off on. Every conclusion carries the evidence it rests on, and every gap is named rather than smoothed over. An infrastructure expert reviews every report before it is released to you.
You see clear recommendations. AIIC does the evidence work underneath them.
Every material conclusion carries a source, its provenance and its status. If we cannot evidence a claim, we do not assert it.
The process begins with your requirements. Providers enter it later, as candidates to be tested against those requirements.
Every recommendation report is reviewed by an infrastructure expert before it reaches you. Nothing is sent automatically.
Your answers are processed in the UK and are never sent to an AI model provider.
Our method is fixed; our intelligence is still growing. AIIC tells you which conclusions rest on solid evidence and which do not yet.
Tell us what you are trying to run, where it needs to run and what matters most. We will put it through AIIC with you on the call and you will see the reasoning as it happens.
Prefer email? Write to nabil@custodis.co.