Bron: https://www.aistudio.nl/en/grip-on-ai/vendor-independent-ai

Vendor-independent AI

# The freedom to always pick the best model

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.

[Book an intro call](https://www.aistudio.nl/en/contact/demo)[Take the AI Grip Scan](https://www.aistudio.nl/en/ai-grip-scan)

Model-agnostic

Switch without migrating

Processing inside the EU

No training on your data

Dutch servers (BIT, Ede)

Fallback if one drops out

The risk

## Your model is replaceable. Your set-up is not.

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?

![Model picker in AIStudio with GPT-5.4 and 5.5, Sonnet 4.5, Gemini 3.1 Pro and 3.6 Flash, and Mistral Large 2.1](https://www.aistudio.nl/images/onafhankelijk/modellen.png)

### Any model you want

GPT, Claude, Gemini, Mistral and open source. You choose per task, and you are tied to none of them.

![Several AI models switching over to AIStudio; two have dropped out](https://www.aistudio.nl/images/onafhankelijk/wisselen.png)

### Switch without migrating

If one drops out, we switch to another model. Your people notice nothing.

![A shield protecting the AIStudio workspace with your assistants and conversations](https://www.aistudio.nl/images/onafhankelijk/bescherming.png)

### Secure, and yours

Change model or supplier and your assistants, prompts and knowledge simply come along.

> Why choose one supplier, when you can have all of them in one central platform?
> 
> ![Gerrit Reinders, co-founder of AIStudio](https://www.aistudio.nl/images/portrait-gerrit.jpg)**Gerrit Reinders**Co-founder

It really happens

## Somewhere in the world, someone pulls the plug on your tools.

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.

[![Article in Het Financieele Dagblad, 16 June 2026, by Sandra Olsthoorn: after the US intervention at Anthropic, make sure you can always switch to another AI model](https://www.aistudio.nl/images/fd-artikel-anthropic.png)](https://fd.nl/tech-en-innovatie/1599982/na-ingreep-vs-bij-anthropic-zorg-dat-je-altijd-naar-een-ander-ai-model-kunt-switchen)

> 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.
> 
> ![Sven Haveman, co-founder and security officer at AIStudio](https://www.aistudio.nl/images/portrait-sven.jpg)**Sven Haveman**Co-founder & security officer

The answer

## How that works at AIStudio.

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.”

![Colleague laughing at her desk with two screens](https://www.aistudio.nl/images/photo-noor-werkplek.jpg)![Colleague working with focus at his screen](https://www.aistudio.nl/images/photo-daniel-werkplek.jpg)

### Model-agnostic on one layer

The big suppliers and open source side by side. Set per environment, per assistant or per user which model runs.

### Switching is a setting

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.

### Hosting to your requirements

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.

### Your data stays yours

Data processing agreements with every supplier. Your data trains no models and goes to no third party.

### Management and control in order

Single sign-on through Entra ID or Google Workspace, logging, retention periods you set yourself, and a view of who does what.

### Built for broad adoption

For the 80% who have no wish to become prompt engineers, with a view of usage and control for administrators.

## Sovereign AI, entirely in your own hands.

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 touch](https://www.aistudio.nl/en/contact)

### Runs in your own environment

AI processing on your own private cloud or your own hardware. Your data stays inside your own walls.

### You decide whether it stays on

Independent of foreign governments and suppliers. Your AI keeps running for as long as you want it to.

### You hold the keys

Open models that you manage yourself. You decide what runs and who gets access.

The difference

## Tied to one supplier, or a platform you can switch

Tied to one supplierA platform you can switch

Tied to one supplier

### One supplier, one model

Something changes on their side, and you are stuck.

A platform you can switch

### Several models, your choice

The best model per task, with a fallback if one drops out.

Tied to one supplier

### Set-up tied to the supplier

The assistants and knowledge you built sit inside their platform.

A platform you can switch

### Set-up on a neutral layer

Your set-up is separate from the model underneath.

Tied to one supplier

### Switching means rebuilding

Moving means starting over, with a migration project.

A platform you can switch

### Move without rebuilding

A setting on our side, within a few days.

Tied to one supplier

### Support on the other side of the ocean

A ticket system, not a person to call.

A platform you can switch

### A Dutch point of contact

An office in Apeldoorn, people you know by name. You can call, and we pick up.

![A group laughing together during an event](https://www.aistudio.nl/images/photo-event-groepsgesprek.jpg)![Two people in a one-to-one conversation](https://www.aistudio.nl/images/photo-gesprek-een-op-een.jpg)![Speaker presenting at a screen to a full room](https://www.aistudio.nl/images/photo-presentatie-zaal.jpg)

The AI Grip Scan

A report on your grip on AI in two minutes.

[Take the AI Grip Scan](https://www.aistudio.nl/en/ai-grip-scan#start)

Frequently asked questions

## Locked in? You do not have to be.

What is vendor lock-in with AI, and why is it a risk?

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.

Can I really switch AI model just like that?

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.

What happens to my assistants and knowledge base if I switch?

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.

Which AI models can I use in AIStudio?

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.

Do we have to choose a European AI model?

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.

Can AI also run inside our own environment?

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.

What if an AI supplier drops out or cuts off access?

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.

## Move AI from scattered experiments to secure daily use.

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**.

[Book an intro call](https://www.aistudio.nl/en/contact/demo)

![Noor de Feber](https://www.aistudio.nl/images/portrait-noor.jpg)![Daniel van der Valk](https://www.aistudio.nl/images/portrait-daniel.jpg)![Matthijs Mali](https://www.aistudio.nl/images/portrait-matthijs.jpg)![Ludo Haveman](https://www.aistudio.nl/images/portrait-ludo.jpg)![Sven Haveman](https://www.aistudio.nl/images/portrait-sven.jpg)