Hosted, private, secure: these words are used by just about everyone today, including those whose architecture does not justify them. This page does not seek to convince through assertion, but through demonstration. Here is what we know, what we verify, and what we never compromise on.
A file server only stores what someone has already decided to write down. An artificial intelligence receives something else entirely: the question you wouldn’t dare ask aloud, the draft before it’s presentable, the reasoning still taking shape.
This is precisely why this level of intimacy can only live inside a vault, at your premises or in our datacenter, but always your property, with no delegation possible.
Even with no American ties, a sovereign cloud is by definition hosted by a third party, on hardware you do not own. Your most intimate exchanges pass through teams that are not yours.
A provider with ties to the United States remains subject to American law, regardless of where your data is stored, in Europe or in Switzerland. A server in Zurich or Geneva is no exception.
June 2025: Microsoft France’s chief legal officer admitted, under oath, that he could not guarantee the protection of European data: the same principle applies to Swiss data.
Most offerings on the market assemble the same open models and the same rented infrastructure as everyone else. What is presented as proprietary technology is often just a clever assembly.
Who owns the machine, and who could one day cut off your access?
Two concrete ways to deploy your AI. One non-negotiable condition, in both cases.
A server installed directly at your premises, on recertified hardware supplied by our sister company FSYS Informatique (www.fsys.ch), long-standing specialists in professional hardware. Turnkey, without the surcharges others bill out of reluctance to manage a physical server: the machine lives on your network, under your roof.
A dedicated physical server, installed in our Plan-les-Ouates datacenter. The entire architecture (hardware, configuration, security) belongs to us: we only rent power and connectivity from the datacenter, all highly secured. Never shared, not even partially, not even at the hardware level: this machine serves one company only, yours.
Whichever scenario you choose, one rule never changes: the server belongs to you. You buy it, it is yours, it sits on your balance sheet, not ours. This is not one option among others in our offering. It is a sine qua non of how we work: we do not offer any arrangement where the machine would remain, in any form, our property or that of a third party.
There is a second form of dependency, less visible than reliance on an external provider, but just as costly: dependency on a few individuals. In most companies, a significant share of real know-how (the procedures that work, the useful shortcuts, the exceptions you need to know) lives only in a few people’s heads, and vanishes the moment they leave.
A well-designed internal AI solves both dependencies at once: it frees you from an external provider, and it transforms individual knowledge into documented process, a real company asset, rather than a collection of scattered and fragile expertise.
The server grows with your actual needs, without migration or renegotiation. Each step is short, measurable and reversible. What would be imprudent is not to move forward: it is to wait until dependency becomes a habit you can no longer break.
We start with one precise, bounded use case, with only the hardware needed for that single purpose. Nothing more, nothing to undo later.
Actual load, real usage, team feedback: every extension is based on observed facts, never on projections.
We add resources to the same machine: additional GPUs, memory, storage. No new contract to sign, no migration to plan.
Every step remains reversible: nothing is committed to the point where you cannot walk back a choice that, in practice, no longer fits.
Every situation deserves to be examined on its own merits. A first conversation is all it takes to find out what, in your company, deserves to stay there.
Unfamiliar term? Check the glossary →