
Any model you want
GPT, Claude, Gemini, Mistral and open source. You choose per task, and you are tied to none of them.
Vendor-independent AI
Your AI set-up should not depend on the whims of one tech giant.
Use the best models available today, and keep the freedom to choose differently tomorrow. Your assistants, your knowledge and your trained team all stay put.
The risk
Your biggest investment in AI is not the model or the platform.
It is the assistants you build around your processes. The prompts you refine. The links to your own systems. And the way your people learn to work with it, step by step. That takes months.
On many platforms all of that hangs on a single supplier. If the policy, the price or the availability changes there, it is not a tool that stops, it is the way you work.
So real independence is not about which model you pick. The question is: how do you keep your set-up separate from that model?
Why choose one supplier, when you can have all of them in one central platform?
It really happens
The question is not whether this happens again. The question is whether you can carry on when it does.
On 12 June 2026 Anthropic switched off its newest model, Fable, from one moment to the next, following a US export order. It is running again now. But the point is clear: a foreign government can decide that you lose access to an AI model.
There is no getting around the American models right now, they lead the market. But it does mean someone can switch off a model, or even a whole platform, without warning. Stay anything less than flexible and your operation grinds to a halt.
Whether it is about privacy, availability, speed or cost: building in flexibility, and staying independent of your suppliers, is a strategic choice for the continuity of your business.
The answer
Most platforms tie you down instead: your assistants, prompts and knowledge sit with one supplier, and switching means building it all again. At AIStudio we turn that around.
Everything you build sits on a neutral layer, separate from the model underneath. The models are interchangeable, whether they come from the US, from Europe or from your own server. You choose per task, we handle the technology and the switch. GPT or Claude today, something better tomorrow, without redoing a thing.
“Two years ago ChatGPT was sacred, now Claude is on top. In a month it might be Gemini, you never know.”
The big suppliers and open source side by side. Set per environment, per assistant or per user which model runs.
If a second model is already on, switching is close to instant: we change the connection and your people notice nothing. Adding a new supplier takes a few days. Never a migration project.
Processing inside the EU, in your own Azure or Google Cloud environment, or on your own infrastructure. The platform itself sits on Dutch servers at BIT in Ede.
Data processing agreements with every supplier. Your data trains no models and goes to no third party.
Single sign-on through Entra ID or Google Workspace, logging, retention periods you set yourself, and a view of who does what.
For the 80% who have no wish to become prompt engineers, with a view of usage and control for administrators.
For organisations with the very highest requirements.
For sectors such as government, healthcare and critical infrastructure, AI can be fully sovereign: under your own roof, with no dependence on other countries. We are developing a special edition of AIStudio for exactly that.
Get in touchAI processing on your own private cloud or your own hardware. Your data stays inside your own walls.
Independent of foreign governments and suppliers. Your AI keeps running for as long as you want it to.
Open models that you manage yourself. You decide what runs and who gets access.
The difference
Something changes on their side, and you are stuck.
The best model per task, with a fallback if one drops out.
The assistants and knowledge you built sit inside their platform.
Your set-up is separate from the model underneath.
Moving means starting over, with a migration project.
A setting on our side, within a few days.
A ticket system, not a person to call.
An office in Apeldoorn, people you know by name. You can call, and we pick up.
The AI Grip Scan
A report on your grip on AI in two minutes.
Frequently asked questions
Vendor lock-in means your set-up gets so tangled up with one supplier that moving becomes a rebuild. With AI that happens fast, because your assistants, prompts and knowledge base are built inside that one supplier’s platform. If the price, the policy or the quality changes there, you have no alternative you can switch on within a week. So the risk is not that the model gets worse, it is that you have nothing to put up against it.
Yes. If a second model is already on, switching is close to instant: we change the connection and your people notice nothing. Adding a supplier that was not on yet takes a few days. No migration is involved and you rebuild nothing, because the model is not where your set-up lives.
They stay where they are. Your assistants, prompts, documents and settings sit on a neutral layer above the model, separate from whichever supplier runs underneath. That is also the answer to the ownership question: what you build is yours and it comes along. Switching model changes who does the computing, not how you work.
The big suppliers and open source side by side, including OpenAI, Anthropic, Google and Mistral. You set per environment, per assistant or per user which model runs, so you choose per task instead of once for everything. Heavy reasoning goes to a large model, simple or sensitive tasks to a European or locally running one.
Not necessarily. The American models lead the field at the moment, so you use those at AIStudio too. European models such as Mistral come in where they fit, for sensitive tasks for instance, or where the origin of your supplier genuinely matters. More important than where your model comes from is whether you can switch the moment you need to. That is a choice you want to keep open, not make once and for all.
Yes. Besides processing inside the EU, AIStudio can run in your own Azure or Google Cloud environment or on your own hardware, with open models that you manage yourself. Then your data never leaves your own walls and your AI keeps working independently of foreign suppliers and governments. The platform itself sits on Dutch servers at BIT in Ede.
Then we switch on a fallback model and the work carries on. There are several plugs in the platform instead of one, so one supplier dropping out is an incident and not a business problem. The same goes for the softer versions: a price rise, a policy change, or a model that suddenly goes offline.
In thirty minutes we look at your situation together and show you how other organisations tackled it.
By the end you know three things: how AI fits your business, what it will get you, and how you go live within one month.
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