Source the stack from the people who build it
Most engagements need infrastructure and licensing as well as engineering. You can acquire both through Aivilo, on one agreement, specified by the same engineers who will stand it up and keep it running.
The infrastructure, not just the advice
Our distribution and cloud partnerships let us procure the components of an AI platform directly, so the commercial path matches the technical one instead of running six weeks behind it.
Cloud capacity and commitments
AWS and Azure consumption, committed-spend arrangements, and reserved or on-demand accelerator capacity, placed in the region and shape the workload actually needs.
Accelerated compute
NVIDIA, AMD and Intel platforms through distribution, specified against measured requirements rather than a vendor's reference configuration.
Data and AI platforms
Databricks, Tessell and the tooling around them, licensed alongside the engineering that puts them into production rather than as a separate procurement exercise.
Model provider access
Frontier model capacity from the providers you standardise on, with usage, cost and quality attribution instrumented from the first call rather than reconstructed later.
Licensing sized against the architecture
Software for an AI platform is rarely bought once. Entitlement shifts as workloads move between environments, as usage spreads from a pilot team to the organisation, and as vendors change how they meter. Both failure modes are quiet and expensive: paying for capacity nobody touches, or finding a shortfall during an audit.
We handle licensing alongside the build, so entitlement is sized against the architecture that is actually being deployed rather than a headcount estimate, and revisited as the workload changes.
What this covers
Why it belongs here
Licensing decisions are architecture decisions wearing a commercial hat. Taking them separately from the build is how organisations end up licensed for a topology they never deployed.
One agreement for the build and what it runs on
One vendor to onboard
Infrastructure, licensing and engineering under a single agreement. One security review, one supplier record, and one party accountable when something underperforms.
Specified by the engineers who build it
The people sizing the order are the people who will build and then operate the result. That is the difference between buying capacity and buying the right capacity, and it is why the specification tends to survive contact with the workload.
Marketplace routes
Where you already hold committed cloud spend, acquiring through a cloud marketplace can draw that commitment down instead of asking finance for new budget.
Funding that offsets delivery
Partner and distribution funding programs can carry part of the cost of an assessment or a proof of concept on larger engagements. We will tell you up front what is available for your shape of project.
Reviewed, not set and forgotten
Commitments get revisited against real utilization. An arrangement that made sense at signing and does not twelve months later is a problem we would rather raise than bill through.
Sized before it is signed
Procurement runs inside the engagement rather than beside it, on the same four phases as the engineering.
Size
Establish what the workload genuinely requires from measurement, not from a target spend or a vendor's sizing sheet.
Specify
Turn that into a concrete bill of materials and the commercial shape around it: term, commitment level, and what stays flexible.
Acquire
Place it through whichever route serves you best, whether that is direct, through distribution, or against commitment you already hold.
Right-size
Hold it against actual utilization once it is running, and adjust. This is the same Optimize phase the engineering runs on.
Already know what you need?
Tell us the workload and we will come back with what it actually takes to run it, what that costs, and the routes available to you. If the answer is that you should buy it somewhere else, we will say so.