Build & Transform Sovereign LLM

Your model. Your data. Your premises.

A complete AI stack inside your perimeter – hardware, an open-weight model, your own knowledge, the tools the agents act through, and the orchestration that runs the work. Yours to run, on your terms – independent of any one vendor, and Swiss-hosted if sovereignty demands it.

Your premises
§ 01 · Why own it 01 / 04
Why own it

Renting your intelligence is the start. Owning it is the advantage.

The capability your business now runs on is becoming too important to rent from one provider in another country. Own the model – inside your own walls – and independence, economics, and control stop being someone else’s to grant. For more reasons than one.

Independence from any one vendor

You are no longer at the mercy of a single provider’s terms, rates, or availability for something your business depends on. If they change the deal, your operation does not.

Economics at scale

At steady, heavy volume, running your own model can cost far less than a per-use bill that only grows. You own the capacity instead of renting every request, forever.

You own the capability

Your model, your knowledge, yours to run and to change. Not a feature on someone else’s roadmap – a capability that stays yours as your business moves.

Concentration risk, removed

You are not betting the business on one company in one country. Should a provider, a policy, or a jurisdiction shift, the work you have built carries on.

Data sovereignty, where it matters

For regulated finance, healthcare, government, or data-residency law: your data stays inside a perimeter you control. Swiss-hosted if you want it – one option, not the whole story.

Speed and control

Inference close to the work, with no round-trip to a distant server – and an infrastructure you can point to, audit, and answer for.

§ 02 · Three deployment shapes 02 / 04
Three deployment shapes

Three ways to hold it – you choose how far the sovereignty goes.

The same stack, in the posture that fits your constraints and your economics. We help you choose during scoping, alongside your CISO and CFO.

Shape one
On-premise

Your hardware, in your building. Inference runs in your own data centre and never leaves it.

When it fits Strictest data-residency rules, high steady-state volume, and economics that favour owning the capacity.
Shape two
On-tenant

Your cloud account, your region. The stack deploys inside your own Azure, GCP, or AWS tenant, under your identity controls.

When it fits Already cloud-native, and you want sovereignty without running hardware yourself.
The differentiated offer
Sovereign Swiss Cloud

Swiss-jurisdiction, managed for you. Capacity hosted and operated in Switzerland by a named partner – your data never leaves the country.

When it fits You want the sovereignty guarantee – data that stays in-jurisdiction, under a named operator – without standing up your own infrastructure, and fully managed.
§ 03 · When it’s right 03 / 04
Where this is heading

Most will own their AI. Few have realised it yet.

Today most companies rent intelligence from a frontier API – the fast, sensible place to begin. But as it becomes core, the economics, the control, and the sovereignty all pull one way: toward owning it. These are the signs the moment has arrived for you. Two or more, and the case for owning it deserves a hard look.

  • Your data cannot leave your walls A regulator, a contract, or your own policy says this data stays inside your perimeter or your jurisdiction. A public API is off the table.
  • Your usage is steady and heavy High, predictable volume, day after day – the point at which owning the capacity costs less than a per-use bill that never stops climbing.
  • This capability is core to the business It runs something you cannot afford to have one outside provider control – their terms, their rates, or their decision to change them.
  • The work cannot wait for a round-trip Real-time decisions – trading, operations, the factory floor – where the delay of reaching a distant server is too much.

A frontier API is the right place to start – not the place most will finish. Early experiments and unpredictable demand are lighter on a public model, and we will tell you plainly when that is where you belong today. But for serious operators it is a starting point, not the destination: as usage grows and the capability turns core, ownership becomes the rational end state. The question is rarely whether you will want your own stack – it is when. We will tell you exactly where that line sits for you.

§ 04 · How it’s delivered 04 / 04
How it’s delivered

One contract. One team. One point of accountability.

We scope, design, integrate, and own the engagement. A named Swiss partner delivers the infrastructure underneath. You deal only with us – one relationship, from the first conversation to steady-state operations.

  1. 01
    Scope

    Define the work, confirm the constraints, and choose the deployment shape and the model – with your security and finance leads in the room.

  2. 02
    Architecture

    Design the stack with the partner – the hardware, the model, your knowledge and tools, and the controls that keep it safe and auditable. Every choice recorded.

  3. 03
    Procurement & deployment

    The partner provisions the hardware or capacity; we connect the stack to your systems and tune it against your real work.

  4. 04
    Cutover

    Switch over carefully, with a tested way back if anything looks wrong, watching against a measured baseline. Then hand over the runbooks.

  5. 05
    Operations

    The partner runs the infrastructure; we keep the model sharp, plan ahead for capacity, and review fit and cost each quarter.

Your model. On infrastructure you can answer for.

When the data can’t leave, we build the whole stack inside your perimeter – from the hardware up to the model and the agents that run on it.