Hybrid AI at DOENio

European AI where possible. Frontier AI where necessary.

At DOENio, we strongly support the development of European AI.

Not because it sounds good in a presentation, but because it matters where technology is built, where data resides, and who sets the rules.

That is why we consciously choose European AI solutions. As often as possible.

European by default

Europe is building its own AI foundation. Strong models, open technology, and clear agreements on privacy and accountability.

We do not want to wait for that. We want to use it.

A good example is Mistral, the French AI company that now ranks among the global leaders. DOENio already uses Mistral’s models in our AI squads today. Fast, efficient, and European.

But we are also realistic

To be honest: European models are not yet the best choice for every task.

For some complex jobs — analysing complicated documents, reasoning through multiple steps in sequence, accurately judging subtle customer questions — non-European frontier models are currently simply more advanced.

And our customers do not want principle to come at the expense of quality.

That is why DOENio works hybrid:

• European AI where possible.

• Other frontier models where needed.

• Always the model that can handle the job.

Seamless switching, without you noticing

Our squads choose the right model for each task. Light work goes to a light model. Heavy work goes to a heavy model.

This happens automatically, behind the scenes.

You do not need to compare models. You do not need to manage settings. You do not even need to think about it.

You only see the result: work that gets done.

Everything hosted in the European Union

One thing is not up for debate.

The entire DOENio environment runs in the European Union. That also applies when a squad uses a non-European model: processing remains within European hosting, within European frameworks, and within the agreements we make with you.

European AI is a preference. European hosting is the baseline.

The movement is going in one direction

The European AI landscape is developing rapidly. Every month brings stronger models, better infrastructure, and more mature alternatives.

We follow that development closely. And as soon as a European model is good enough for a task that is still handled elsewhere today, we make the switch.

Step by step. Task by task.

That is how we are building AI that takes work off your hands and fits the place where we do business.

Hybrid today. European where possible. And more European tomorrow.