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Digital sovereignty· 8 min

Sovereign AI: Swiss or European APIs, assistants, models and image generation

Infomaniak AI Tools, Mistral, Scaleway, OVHcloud, IONOS, Apertus, Euria, Lumo, Le Chat, FLUX: the Swiss and European equivalents of AWS Bedrock, ChatGPT and image generators, and how to make an AI solution reversible.

Published on 17 September 2026 by Lumineth

This is the family of tools that moves fastest, and the one where the most sensitive data sometimes flows without anyone noticing: a contract pasted into ChatGPT, a file summarised by an assistant. Fifth part of the digital sovereignty series, and the closest to what I put in place every day.

AI APIs: replacing AWS Bedrock

SolutionCountryOriginModelsSelf-hostablePricing modelNote
Infomaniak AI ToolsSwitzerlandSwitzerlandOpen sourceNoPay as you goOpenAI-compatible API
Mistral La PlateformeFranceEUPartial (open-weight)NoPay as you go
Scaleway Generative APIsFranceEUOpen sourceNoPay as you go
OVHcloud AI EndpointsFranceEUOpen sourceNoPay as you go
IONOS AI Model HubGermanyEUOpen sourceNoPay as you go
vLLM / Ollama (self-hosted)Projects of American originInternational (open source)Your choiceYesFree (GPU cost on top)To run on European GPUs

All these APIs expose an OpenAI-compatible interface: an application written for one works with the others by changing an address and a key. That is what makes the migration realistic. Infomaniak AI Tools is the Swiss option; Mistral brings its own models, among the best in Europe; Scaleway, OVHcloud and IONOS serve open models on GPUs in France and Germany.

Assistants: replacing ChatGPT, Claude or Gemini

SolutionCountryOriginOpen sourceSelf-hostablePricing modelNote
Euria (Infomaniak)SwitzerlandSwitzerlandOpen-source modelsNoIncluded with my kSuite
Lumo (Proton)SwitzerlandSwitzerlandPartialNoFreemiumNo history kept server-side
Le Chat (Mistral)FranceEUNoNoFreemium
Open WebUI / LibreChatCommunity projectsInternational (open source)YesYesFreeInterface to plug into a sovereign API

For a team, the most controlled option is a free interface (Open WebUI or LibreChat) plugged into a Swiss or European API: conversations stay with you, the model changes with one setting, and you can connect your own documents.

Open language models

SolutionCountryOriginOpen sourceSelf-hostablePricing model
Apertus (EPFL / ETH Zurich)SwitzerlandSwitzerlandYes (open-weight)YesFree
Mistral open-weight modelsFranceEUYes (open-weight)YesFree

Apertus is the Swiss model, trained by EPFL and ETH Zurich with open weights. Mistral’s open-weight models are the European reference. Both run on your own hardware or through the APIs above. For the classification, extraction and summarisation tasks that make up most business cases, they are enough; for complex reasoning, American models keep a lead, which is then reserved for non-sensitive data.

Image generation: replacing Nano Banana

SolutionCountryOriginOpen sourceSelf-hostablePricing modelNote
Infomaniak AI Tools (images)SwitzerlandSwitzerlandOpen-source modelsNoPay as you go
FLUX / FLUX Kontext (Black Forest Labs)GermanyEUPartialYes (open-weight versions)Pay as you goCheck the licence: some versions are non-commercial
ComfyUI + FLUXAmerican publisherInternational (open source)YesYesFree (GPU cost on top)

The method: the model is a component

In a processing chain, the model should be just one block behind a gateway: the application talks to the gateway, the gateway talks to the current provider. You can then route sensitive data to a Swiss API and the rest to the best-performing model, and change your mind without rewriting. The next part details these technical tools.

I put this kind of migration in place with your teams: inventory, choices by data sensitivity, staged switch-over, operations. A first conversation is enough to know where to start.

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FAQ

Frequently asked questions

Are European models as good as American ones?

For classification, extraction, summarisation and everyday writing, yes. For complex reasoning, American models keep a lead in 2026. You choose by task and by data sensitivity.

What is Apertus?

A Swiss open-weight language model, trained by EPFL and ETH Zurich. It can be hosted on your own hardware or served by a Swiss API.

How do we avoid depending on an AI provider?

By placing a gateway between the application and the provider, using OpenAI-compatible APIs, and keeping your rules, prompts and evaluation data outside the provider.

A concrete case on your side?

Tell me what costs you time or what you want to take back control of; I get back within 24 business hours with a first read, no obligation.