Companies that begin working with artificial intelligence often feel they are gaining a decisive edge over their competitors. The impression is natural: routine tasks are executed faster, with a regularity and quality that no human organisation can guarantee on its own.
Yet this is an illusion. What one believes to be an advantage is not one, since competitors are doing exactly the same thing, at the same time, with the same tools. There is no real competitive gain, only a general and simultaneous rise in the average level. Everyone progresses together, so no one gets ahead of anyone.
There is worse. By feeding these subscription-based AIs with our data, our processes, our ways of reasoning, we transfer to them, indirectly and without really wanting to, a share of the company's own knowledge. This is one of the clearest paradoxes of our time: in seeking to gain competitiveness, one gives the tool precisely the means to better serve, tomorrow, a competitor who will ask the same question on the same platform.
In seeking to gain competitiveness, one gives the tool the means to better serve, tomorrow, a competitor asking the same question on the same platform.
What, then, should be done? Staying away from AI is already scarcely possible, and will become less so. But following the movement without thinking about it has only limited value: that of blending into the mass of companies equally informed, equally equipped, equally interchangeable.
Knowledge as a company asset
We believe artificial intelligence must remain internal, because it is called to become, more than any tool before it, the repository of the company's knowledge and know-how. This is also the occasion to solve a problem older than AI itself: too often, employees' knowledge stays locked inside the heads of a few, passed on informally, lost at the slightest departure. A well-designed internal AI turns this knowledge into a genuine company asset, documented, structured, transferable, rather than a sum of scattered and fragile individual skills.
From this observation, the question of ownership stops being incidental: it becomes central. If all or part of your AI escapes your absolute control, it is the autonomy over the most strategic part of your business that you are surrendering, often without even realising it.
A machine that belongs to you
A machine you own answers first to this requirement of autonomy, but it also has a more discreet virtue: it strongly reduces dependencies. Most AI providers supply hardware resources, hosting and development as a single block, so that everything is interlocked with the same supplier. This arrangement is never neutral: it encourages you to stay, precisely because leaving is costly and complex. A machine that belongs to you separates these elements: the hardware is yours, independently of who develops on it, and you can change one without being forced to change the other.
This is why our conception of AI rests on a machine that belongs to you. A physical server, installed in your offices or hosted in our Plan-les-Ouates datacentre as a dedicated machine, never shared, even at the hardware level.
This difference changes everything. You are no longer bound to anyone, least of all to the solution's provider. You can change it whenever you wish, because the documentation, the deployments and the hardware belong to you outright. The company remains in charge of its own trajectory, rather than a tenant of an intelligence it does not own. The hardware itself can evolve at the pace of your needs, gaining in power without ever changing hands.
A development ground, not a single supplier
This ownership has one last consequence, less obvious but perhaps the most fruitful: the platform becomes a genuine development ground for the company itself. Every employee can suggest to management that a particular AI workflow be integrated, or that a provider offering a solution suited to their trade be called upon. Because it owns its infrastructure, the company is not a prisoner of a single supplier: it can have several solutions, several AIs, several providers coexist, according to the real needs of each department, without ever calling the sovereignty of the whole into question.
This last condition is not merely a matter of commercial freedom: it touches on security itself. An external AI directly processing the company's data constitutes, by nature, a potential breach, a passage point that the company neither fully controls nor fully monitors. By keeping artificial intelligence within its own walls, the company does not only gain strategic autonomy: it closes a door that should never have been left open.
An AI that truly belongs to you?
We deploy dedicated machines, on your premises or in our datacentre, so your knowledge remains your asset. A single conversation is enough to see what that would concretely change.
Talk to us about it