I use AI tools every day, mostly ChatGPT and Claude. That is also a good reason to occasionally use something else.
Once you have used the same assistant for long enough, you get used to how it behaves. You learn how to prompt it and work around its weaknesses. In my case, I sometimes find ChatGPT too willing to follow the direction I give it. If the original assumption is questionable, I would often rather have the AI challenge it than simply help me develop the idea further.
So I have been trying more alternatives. Partly I wanted to know whether models and assistants from companies such as Mistral, Proton and Infomaniak are now useful enough for the kind of writing, research and document work I normally do.
But there is another reason to look beyond ChatGPT and Claude if you live or work in Europe.
Once AI becomes something you use for contracts, documents, emails and work files, it matters not only how good the answer is. It also matters where that information is processed, which companies receive it and whether conversations can later be used to train models.
We looked at six European alternatives to see how those trade-offs work in practice: Proton Lumo, Mistral Vibe, Infomaniak Euria, GDPRchat, DentroChat and GreenPT.
European ChatGPT alternatives
- Proton Lumo — Swiss privacy-focused AI with zero-access chat history.
- Mistral Vibe — French AI platform built on Mistral’s own European models.
- Infomaniak Euria — AI running on Infomaniak’s own infrastructure in Switzerland.
- GDPRchat — EU-focused assistant designed for multilingual European users.
- DentroChat — Estonian AI assistant with an explicitly European provider chain.
- GreenPT — Dutch AI platform combining EU hosting with access to multiple models.
| AI assistant | Based in | Core AI processing | Models | Chats used for training? | Particularly interesting for |
|---|---|---|---|---|---|
| Proton Lumo | Switzerland | Proton-controlled infrastructure in Europe | Apertus + international models including Qwen and GLM | No for normal chats | Privacy and zero-access chat history |
| Mistral Vibe | France | EU by default, with some exceptions | Mistral’s own models | Consumer input/output can be used unless you opt out | European models and a broad work platform |
| Infomaniak Euria | Switzerland | Infomaniak’s own Swiss infrastructure | Several locally run models, including Apertus | No, according to Infomaniak | Running AI on the provider’s own Swiss servers |
| GDPRchat | Denmark | European infrastructure | Multiple models through European providers | No, according to GDPRchat | EU-focused processing and European languages |
| DentroChat | Estonia | EU/Switzerland | International models through European providers | No, according to DentroChat | No US-based subprocessors according to its current list |
| GreenPT | Netherlands | Primarily EU infrastructure | Large selection of international models | Not stated clearly enough for us to say no | EU hosting and a wide choice of models |
What does “European AI” actually mean?
It is tempting to call an AI assistant European as soon as the company is based in Paris, Copenhagen, Tallinn or Geneva. That only tells part of the story.
An AI service has several layers: the company selling the product, the foundation model generating the answer, the infrastructure where that model runs, the place where conversations are stored and other providers that may handle search, files, payments or support.
Mistral is a useful example. It is a French AI company that develops its own models in Europe. Its data is hosted in the EU by default, but certain features can involve processing outside the EU.
Euria works differently. Infomaniak does not need to have developed every model available inside Euria. It can run independently deployable models on its own infrastructure in Switzerland. A model may therefore have been created in France, China or the US without your prompt being sent to the company that originally developed it.
When we look at a European AI service, we want to know four things:
- Where is the company based?
- Where is my prompt actually processed?
- Who developed the underlying AI model?
- Which other companies receive data as part of the service?
For many users, the second and fourth questions may matter more than the model’s nationality.
What if you want your AI data to stay in Europe?
If you are uploading work documents, contracts, customer information or private prompts, seeing “GDPR compliant” on a homepage does not answer everything.
GDPR does not mean personal data can never leave the EU. It regulates how personal data is collected, processed and transferred.
The practical questions are where the AI processing takes place, where conversations are stored, whether prompts are sent to external model APIs and what happens when functions such as web search are enabled.
ChatGPT and Claude remain useful reference points because they are the products many readers already know.
OpenAI allows European users to control whether personal ChatGPT content is used to improve its models, while more specific European data-residency and in-region processing options are available in certain business and enterprise configurations. Ordinary consumer ChatGPT is not built around a blanket promise that all processing remains in Europe.
Claude also gives consumers control over whether their chats can be used to improve the model, with different terms applying to its commercial products.
That does not make either service inherently unsafe. They simply approach data location differently from products that make European or Swiss processing central to their design.
1. Proton Lumo – privacy first, even with international models
Swiss company Proton is best known for Proton Mail and Proton VPN. Lumo is its privacy-focused AI assistant and one of the clearest examples of why model origin and data location should be considered separately.
Proton currently uses models including Qwen, GLM and the Swiss Apertus. They are not all European models, but Proton runs them on servers it controls rather than forwarding ordinary Lumo conversations to the original model companies.
A model developed in China can therefore be used without sending the user’s Lumo conversation to the Chinese company that created it.
The privacy architecture is one of Lumo’s main attractions. Proton says ordinary chats are not used for model training and that saved chat history is protected with zero-access encryption. In practical terms, Proton says it cannot read the encrypted conversation history stored in your account.
Web search introduces an additional data path. A simplified search request can be sent to an external service, while payments and support can involve other providers. Lumo is privacy-focused, but that does not mean every part of the wider service operates in complete isolation.
We have tested Lumo considerably more than the other assistants in this guide. It was fast, produced natural writing and handled a real contract surprisingly well, finding several less obvious issues without being told where to look.
Research was less consistent. In one test, it found the correct official inflation publication and several correct figures, but attached one real figure to the wrong month. Our document test also produced a simple arithmetic error.
Lumo can be useful for research and documents, but a strong privacy architecture does not make the answers automatically more accurate.
| Proton Lumo | |
|---|---|
| Company | Switzerland |
| AI processing | Proton-controlled infrastructure in Europe |
| Models | Apertus + international models including Qwen and GLM |
| Normal chats used for training | No |
| Saved chat history | Zero-access encrypted |
| Particularly interesting for | Privacy, documents and existing Proton users |
| Our test status | Tested in depth |
Read next: Our full Proton Lumo AI review.
2. Mistral Vibe – European models and a broader work platform
Mistral is different from most of the other companies here because the French company develops the foundation models behind its own AI platform.
The product formerly known as Le Chat is now Vibe and has expanded beyond conventional chat. Vibe Chat handles the familiar conversational experience, Vibe Work is aimed at more complex tasks across files and connected tools, while Vibe Code focuses on software development.
That puts Mistral closer to the direction taken by larger AI work platforms than most of the privacy-focused assistants in this guide.
Its privacy setup is less simple than Lumo’s. Mistral says data is hosted in the EU by default, although individual features can involve processing outside the EU and its wider technology chain includes international providers.
Consumer users should also check the model-improvement setting. Mistral can use consumer input and output for training unless the user opts out, while enterprise customers operate under different defaults.
Mistral’s main attraction in this comparison is therefore not simply privacy. The AI models themselves are European. You are not using a European interface around a foundation model developed by an American or Chinese AI company.
For users concerned about Europe’s dependence on foreign foundation models, that is a meaningful difference.
| Mistral Vibe | |
|---|---|
| Company | France |
| Data hosting | EU by default |
| Models | Mistral’s own models |
| Consumer data used for training | Can be used unless you opt out |
| Main products | Chat, Work and Code |
| Particularly interesting for | European models, productivity, agents and coding |
| Our test status | Shorter hands-on testing |
3. Euria – Swiss AI running on Infomaniak’s own servers
Euria is less well known than Proton or Mistral, but its infrastructure model is straightforward.
It comes from Swiss cloud company Infomaniak, which already operates hosting, email, storage and collaboration services. Rather than relying on a foreign public cloud or calling another AI company’s API, Infomaniak runs Euria’s models on its own infrastructure in Switzerland.
Infomaniak says requests and files are processed there rather than being sent to external model providers, and that user data is not used to retrain the models.
The models themselves can still come from several countries. Euria can run different model families and also offers Apertus, the Swiss-developed model.
That gives users the option of using a Swiss model on Swiss infrastructure, while also accessing international models without necessarily sending their prompts back to the original developers.
Euria has also moved beyond basic chat. It supports document and PDF work, web features and Projects that combine custom instructions with uploaded files and knowledge.
For someone more interested in where the actual AI computation happens than where every model was originally developed, Euria is one of the more interesting options here.
| Infomaniak Euria | |
|---|---|
| Company | Switzerland |
| Hosting and inference | Infomaniak’s own Swiss infrastructure |
| Models | Multiple locally run models, including Apertus |
| External model API | No, according to Infomaniak |
| User data used for training | No, according to Infomaniak |
| Particularly interesting for | Swiss infrastructure and locally run AI |
| Our test status | Shorter hands-on testing |
4. GDPRchat – an EU-focused assistant for a multilingual Europe
The name GDPRchat makes it sound more like compliance software than a general AI assistant. The actual product is broader.
GDPRchat is made by a Danish company but aimed at the wider European market. It supports all 24 official EU languages as well as Icelandic, Norwegian and Ukrainian.
That is particularly relevant to the European audience we have in mind here. Many people work primarily in English but still need AI for local-language emails, documents, customer communication or official information.
GDPRchat puts considerable emphasis on the companies involved in processing user data. Its current setup uses European providers for core AI processing, hosting and storage, and the company says user conversations are not used to train AI models.
Web search has a separate data path. GDPRchat uses an external European search company that also operates infrastructure outside Europe. GDPRchat says it sends only the generated search query rather than the user’s account information, IP address or complete conversation.
The free version provides a way to try the product before paying, and the assistant now includes documents, web search, data analysis and image tools rather than simply text chat.
| GDPRchat | |
|---|---|
| Company | Denmark |
| Core AI processing | EU |
| Storage | EU |
| User data used for model training | No, according to GDPRchat |
| Languages | 24 EU languages + Icelandic, Norwegian and Ukrainian |
| Important qualification | Web search has a separate data path |
| Particularly interesting for | Multilingual users and EU-focused processing |
| Our test status | Shorter hands-on testing |
5. DentroChat – when avoiding US subprocessors is the requirement
DentroChat comes from DentroInnovation OÜ in Estonia and is considerably smaller than Proton, Mistral or Infomaniak.
Its reason for inclusion is quite specific. The company publishes its subprocessors and currently states that it does not use US-based subprocessors. Hosting and storage are in Europe, while AI inference is provided through European services.
DentroChat also says conversations are not used to train AI models.
The underlying foundation models can still come from outside Europe. DentroChat is therefore better understood as a European inference and service layer than as a European model developer.
The product offers Fast, Thinking and Creative modes alongside files, web search, images and memory. It is a consumer AI assistant rather than simply a privacy gateway to an API.
It is also one of the smaller and less established products covered here. A transparent supplier list is useful, but it says little about how the assistant performs on difficult research, coding, writing or multilingual work. Those need to be tested separately.
| DentroChat | |
|---|---|
| Company | Estonia |
| Hosting | EU |
| AI inference | European providers |
| Models | International |
| Chats used for training | No, according to DentroChat |
| US-based subprocessors | None according to its current list |
| Particularly interesting for | Keeping US providers out of the service chain |
| Our test status | Shorter hands-on testing |
6. GreenPT – EU-hosted AI with a large choice of models
GreenPT is a Dutch AI platform based in Utrecht. Sustainability was one of its original differentiators, but the current product also fits into the European AI discussion.
Instead of developing one foundation model, GreenPT provides access to a range of models through a European-hosted platform. The selection includes models developed in Europe, the US and Asia.
You are therefore not choosing GreenPT because every model is European. The attraction is that a European service gives you access to several models while keeping the main platform and processing infrastructure in the EU.
Its current data-processing information places core infrastructure primarily in France and Finland.
GreenPT also offers Projects and document features, making it more relevant to people who use AI for ongoing work rather than isolated questions.
Search needs to be considered separately. GreenPT’s dedicated search product uses a US search provider. That does not mean every normal GreenPT chat is sent through the US, but it is another reason to check individual functions rather than treating the whole product as one data flow.
There is also one area where we would like clearer wording from the company. GreenPT discusses retention, research and service improvement in its privacy information, but we have not found the same unambiguous statement that ordinary consumer chats are never used for model training that some of the other services provide.
We therefore would not describe it as a no-training service without clearer documentation.
GreenPT also estimates the energy and carbon impact of AI requests. That is unusual and may appeal to users interested in the physical infrastructure behind AI rather than privacy alone.
| GreenPT | |
|---|---|
| Company | Netherlands |
| Core data location | EU, primarily France and Finland |
| Models | Large selection of international models |
| Consumer chats used for training | Not stated clearly enough for us to say no |
| Search | Separate service with a US search provider |
| Particularly interesting for | Model choice, EU hosting and AI energy information |
| Our test status | Initial testing |
What if English is not your first language?
This deserves more attention in a European comparison than it usually gets.
Millions of Europeans use English every day without using it for everything. You might research in English, answer customers in German, upload an Italian contract, write to a local authority in Danish or ask an AI to improve something you have written in Polish.
A European AI assistant is not especially useful if it performs well in English but becomes noticeably weaker as soon as you switch to the language you actually use at home or locally.
We have deliberately not ranked these products by multilingual quality. Doing that properly would require comparable tests across several languages rather than relying on benchmarks and marketing material.
There are still useful indicators. GDPRchat explicitly targets a wide range of European languages. Apertus was built with multilingual use as an important part of the project, while Mistral also develops multilingual models.
If you regularly work in more than one language, test your own language before committing to a long subscription. The difference often becomes easier to spot in nuanced writing than in factual questions. An assistant may understand a language perfectly well while still producing emails or professional copy that sounds slightly translated.
How do these compare with ChatGPT and Claude?
ChatGPT and Claude remain useful benchmarks because many people already know how they behave. A European alternative therefore needs more than an attractive privacy policy. It has to be useful enough to become part of your actual workflow.
| Area | ChatGPT / Claude | European alternatives |
|---|---|---|
| General AI capability | Broad and mature | Varies considerably |
| Everyday English | Strong | Generally capable, depending on model |
| European languages | Broad multilingual support | Important focus for several services, but quality varies |
| Documents | Mature workflows | Lumo performed well in our test; most services here now support files |
| Web research | Advanced tools | Available from several alternatives, with different privacy trade-offs |
| Memory / Projects | Mature | Available from a growing number of European assistants |
| Agents / connected work | Large ecosystems | Mistral Vibe currently has the broadest scope in this group |
| Europe-only consumer processing | Not a general standard promise | Central to several of these products |
| European-developed foundation models | No | Mistral and Apertus are notable alternatives |
There is no useful yes-or-no answer to whether European AI is “as good as ChatGPT or Claude”.
For rewriting an email, summarising a report, brainstorming, translation or an initial review of a PDF, the difference may be small enough that data handling becomes the more important consideration. Advanced coding, complex research, agent workflows and integrations can expose larger differences between products.
You also do not need to migrate everything. A privacy-focused European assistant could handle documents or work you particularly want to keep on European infrastructure, while another AI remains useful for tasks where its capabilities are better suited to what you need.
Which European AI assistant fits your priority?
If protected conversation history is important, Proton Lumo has one of the clearest approaches in this group. Proton combines European inference, no training on ordinary conversations and zero-access encryption for stored chat history.
If the underlying foundation model itself should be European, Mistral is the most obvious large commercial option. Apertus provides another European-developed alternative and is available through services including Lumo and Euria.
If you are specifically looking for AI hosted in Europe on infrastructure controlled by a European cloud company, Euria is particularly interesting. Infomaniak operates the Swiss infrastructure itself and says prompts are not sent to external model APIs.
For multilingual users who want an EU-focused service chain, GDPRchat is worth looking at.
If your requirement is specifically to avoid US-based subprocessors, DentroChat states that position explicitly in its current provider list.
GreenPT takes a different route. It offers a large choice of models while keeping the core service on EU infrastructure, which may suit users who care more about where inference takes place than where each model was originally developed.
Mistral Vibe is the more obvious service to investigate if you want a broader European work platform rather than primarily a privacy-focused chatbot.
What about European AI for companies?
There is another category of European AI that we have deliberately left out of the main comparison: platforms designed primarily for organisations rather than individual users looking for a personal ChatGPT alternative.
Langdock in Germany is one example. It combines access to multiple models with organisational chat, agents, workflows, integrations and more controlled deployment options.
Aleph Alpha, also from Germany, is positioned more heavily towards sovereign and specialised AI for companies and public institutions.
French company LightOn follows a similar enterprise route with its Paradigm platform, including private and on-premise deployments for organisations that need tighter control over infrastructure.
These are important parts of the European AI market, particularly for regulated companies, but they solve a different problem from signing up for Lumo or Euria as an individual user.
Is European AI automatically more private?
No.
A French company does not automatically mean every piece of user data remains in France. A Chinese-developed model does not automatically mean your prompt is sent to China. European hosting also tells you nothing on its own about whether conversations are later used for model training.
Mistral is strongly European when judged by model development, but consumer data can be used for training unless the user opts out.
Lumo uses models developed in several parts of the world, but Proton runs them on infrastructure it controls in Europe and says normal conversations are not used for training.
Euria follows a similar local-inference approach on Infomaniak’s Swiss infrastructure. GDPRchat concentrates on its EU service chain, while DentroChat specifically highlights the absence of US-based subprocessors.
GreenPT keeps its main platform on EU infrastructure but has a separate US provider involved in search and less explicit wording around consumer-chat training.
The useful question is not whether there is a European flag on the homepage. It is what happens to your data after you press Enter.
Three ways to build European AI
Looking across these services, three broad approaches emerge.
The first is European model development. Mistral is the clearest example: both the company and the foundation models are European. Apertus adds a Swiss-developed option.
The second is European inference. Lumo and Euria can run models developed elsewhere while keeping the user’s actual AI processing on infrastructure controlled in Europe or Switzerland.
The third is the European service chain. GDPRchat and DentroChat place particular emphasis on which companies and infrastructure receive user data. GreenPT takes a related approach by offering a wide selection of models through an EU-hosted platform.
None is inherently the “best” architecture. They address different parts of Europe’s dependence on American and Asian AI.
So are there real European alternatives to ChatGPT and Claude?
Yes. In 2026, choosing a European AI assistant no longer necessarily means accepting a basic chatbot with limited features.
These services now offer combinations of web research, document analysis, memory, Projects, image tools, reasoning and data analysis. Mistral is also moving further into connected work and coding.
They are not equally capable, and we would not move all of our work to one service simply because the company is European. Privacy architecture, model quality and product maturity remain separate considerations.
Lumo combines a familiar general-purpose assistant with a strong privacy architecture. Mistral Vibe combines French-developed models with the broadest work platform in this group. Euria is interesting because Infomaniak runs AI on its own Swiss infrastructure. GDPRchat targets multilingual European users and an EU-focused data path. DentroChat makes its supplier chain unusually explicit, while GreenPT combines EU hosting with a wide choice of models.
For someone living or working in Europe, the most useful question is probably not which European AI is universally “best”.
A better starting point is to look at the work you currently send to ChatGPT or Claude and ask which parts could move to European infrastructure without losing capabilities you actually rely on.
Frequently asked questions
What are the main European alternatives to ChatGPT?
Proton Lumo, Mistral Vibe, Infomaniak Euria, GDPRchat, DentroChat and GreenPT are six consumer-accessible options worth looking at. They differ substantially in model origin, infrastructure, privacy practices and functionality.
Is there a European alternative to both ChatGPT and Claude?
Yes. All the assistants in this guide can handle general AI tasks, although their capabilities vary. Mistral Vibe has the broadest work-platform approach, while Lumo, Euria, GDPRchat and DentroChat place more emphasis on privacy or European processing.
Can I use AI without sending my normal prompts to US servers?
Yes. Several European services are designed to keep core AI processing in Europe or Switzerland. Individual features such as web search, payments, sign-in and customer support can still use separate providers, so it is worth checking the details of the functions you actually use.
Is Proton Lumo European?
Yes. Lumo is operated by Swiss company Proton and runs AI models on infrastructure controlled by Proton in Europe. Not all of the underlying models were developed in Europe.
Is Mistral a European alternative to ChatGPT?
Yes. Mistral is a French AI company that develops its own foundation models. Its consumer platform is now called Vibe and includes Chat, Work and Code.
Is Swiss-hosted AI the same as EU-hosted AI?
No. Switzerland is in Europe but is not a member of the European Union. That is why we describe Lumo and Euria as European or Swiss-hosted rather than simply calling them EU-hosted.
What if English is not my first language?
Test the language you actually use before paying for a long subscription. Most modern models are multilingual, but being able to understand a language is not the same as writing natural professional copy in it. This is particularly important in Europe, where many people regularly switch between English and a local language.
Is European AI automatically more private?
No. Privacy depends on where data is processed and stored, whether conversations are used for training, what encryption is used and which other providers are involved. The company’s nationality is only one part of the picture.
More for your digital life
Europe’s answer to American AI isn’t only about where servers sit. Denmark built its own model from scratch: Ordbogen trained Mimir on its own GPUs in Odense, with no data leaving the country, and CEO Peter Revsbech explains why in our interview — sovereign models, what he makes of Silicon Valley, and why he won’t do images.
If you’d rather see what these assistants are actually good for, our tests of the best AI travel planners and of Mapify’s AI mind mapping show where the output holds up and where it doesn’t. And since data location is only one part of a privacy setup, our VPN reviews cover the connection itself, alongside the rest of our digital life guides.
