"GDPR-compliant" is not a badge a tool can wear. It is a set of properties you can verify before you sign anything: where the data is processed, whether there is a data processing agreement (DPA/AVV) covering the sub-processors, whether your inputs are used to train models, and whether the provider retains your data after a request finishes. A vendor can print "GDPR-compliant" on a landing page and still route your prompts through a US model API with no signed agreement. So the useful question is not "is this tool compliant" but "which specific properties can I confirm, and are they written into a contract".
This comparison looks at five AI tools that businesses in Europe evaluate for exactly that reason: DeutschlandGPT, kamium, Langdock, ChatGPT Enterprise, and Wysor. For each one we describe what it is good for and hold every factual claim to what is publicly stated, because these products change quickly. Competitor details are marked "(according to publicly available information)" for that reason, so always check the provider's current documentation before you commit.
If you want the underlying framework first, our guide to GDPR-compliant AI explains EU hosting, the DPA, zero data retention, and no training on customer data in more depth. This page is the shortlist that applies that framework to real tools.
Short answer: No tool is simply the most GDPR-compliant, because compliance is a set of verifiable properties, not a badge. For a European business the credible options combine EU hosting, a signed DPA covering sub-processors, no training on your data, and zero data retention. DeutschlandGPT, kamium, Langdock and Wysor are compared below; Wysor adds multi-model choice and a free entry plan.
The four properties that actually matter
Before the tools, here is the checklist we score them against. Each item is verifiable, not a matter of trust.
- EU hosting. Are requests processed on servers in the EU, or does the tool call a model API that runs elsewhere by default? US processing is not automatically unlawful, but it adds transfer obligations you have to document.
- DPA / AVV with sub-processors. Is there a signed data processing agreement, and does it cover the model providers behind the tool? A wrapper around a US model still needs an agreement chain that reaches that model.
- No training on your data. Are your prompts and uploads excluded from model training? On many consumer plans they are not, unless you opt out.
- Zero data retention. Does the provider delete inputs after processing, or keep them for a retention window? Retention is where "we don't train on it" quietly stops being reassuring.
Model choice and price sit alongside these because a compliant tool that can only run one model, or that costs more than the work it saves, is a poor fit even when the data handling is sound.
The comparison at a glance
| Tool | Models | EU hosting | DPA covers sub-processors | No training / zero retention | Price |
|---|---|---|---|---|---|
| Wysor | Claude, GPT, Gemini and more in one workspace | Yes, EU-hosted | Yes, AVV/DPA with each model provider | No training on customer data, zero data retention | Free plan; Plus 19,99 EUR/mo; Premium 29,99 EUR/mo |
| DeutschlandGPT | German-focused offering (according to publicly available information) | Marketed as German/EU hosted (according to publicly available information) | Check current DPA (according to publicly available information) | Check current terms | Check provider |
| kamium | Assistant / workspace offering (according to publicly available information) | Marketed EU/DACH (according to publicly available information) | Check current DPA (according to publicly available information) | Check current terms | Check provider |
| Langdock | Multi-model platform (according to publicly available information) | EU hosting offered (according to publicly available information) | Check current DPA (according to publicly available information) | Check current terms | Team / enterprise pricing (according to publicly available information) |
| ChatGPT Enterprise | GPT family | US-based by default (according to publicly available information) | Enterprise agreement (according to publicly available information) | No training on business data on Enterprise (according to publicly available information) | Enterprise, on request |
The table is a starting point, not a verdict. The prose below explains what each tool is genuinely good for.
Wysor
Wysor is a private, EU-hosted AI workspace built for professionals who need capable AI and a data-handling framework they can defend. Rather than one model, it puts several leading families in one window, Claude, GPT, Gemini and more, so you pick the right model for each task instead of committing to a single vendor. Requests are processed on EU infrastructure, there is no training on customer data, inputs are handled under zero data retention, and there is an AVV/DPA in place with each model provider rather than a marketing line about compliance.
What separates Wysor from a plain chat box is the work built around the chat. A knowledge base lets you upload PDF, DOCX, XLSX, PPTX and more, then ask questions grounded in your own documents. Two research databanks are built in. The legal databank searches real case law and legislation across twelve jurisdictions, more than 87 million documents and over 23.3 million court decisions, with citation and Fundstellen verification that flags overruled decisions, so an answer points to a source you can check rather than a fabricated citation. The medical databank offers open-corpus medical-literature search and drug information, an EU-available option in the space that tools like OpenEvidence occupy; it helps find and understand information and does not diagnose or replace a physician. A Scribe feature turns speech into a structured note through an EU pipeline, and document generation drafts letters, reports, and Arztbriefe from notes or dictation, which the user reviews and releases.
For professionals bound by confidentiality, Wysor is designed to help reduce the liability risk associated with professional secrecy rather than to make a compliance guarantee on your behalf. It starts with a free plan, then Plus at 19,99 EUR per month and Premium at 29,99 EUR per month, with no enterprise contract required. For a business that wants model choice, verifiable EU data handling, and real productivity beyond chat in one place, that combination is what Wysor is built to deliver.
DeutschlandGPT
DeutschlandGPT positions itself as a German-focused AI offering, and according to publicly available information it emphasises German-language use and hosting within Germany or the EU. For organisations whose priority is a clearly German-market vendor and interface, it is worth evaluating on that basis.
As always, confirm the current details directly: which models sit behind it, whether a signed DPA is available, and what the retention and training terms say (according to publicly available information). Those are the properties that turn a German label into a verifiable position.
kamium
kamium is presented as an assistant and workspace offering aimed at European, and particularly DACH, users (according to publicly available information). For teams that want a European vendor with a familiar assistant experience, it belongs on the shortlist to evaluate.
The same checklist applies. Ask for the current DPA, the list of sub-processors, and the training and retention terms in writing, and confirm which models are available (according to publicly available information), so you are comparing verifiable properties rather than positioning.
Langdock
Langdock is a multi-model platform that, according to publicly available information, offers access to several model families with EU hosting options and team-oriented deployment. For organisations that specifically want a platform layer over multiple models with administrative controls, it is a reasonable option to assess.
Confirm the current specifics before committing: which EU hosting option applies to your plan, whether the DPA reaches the underlying model providers, and how training and retention are handled (according to publicly available information). A multi-model layer is only as compliant as the agreement chain behind each model it calls.
ChatGPT Enterprise
ChatGPT Enterprise is the business tier of the most widely used assistant, and according to publicly available information it does not train on your business data and adds enterprise administration and security features. For a company that is standardising on the GPT family and wants a broadly adopted, well-supported tool, it is an obvious candidate.
The properties to weigh for European work are where processing takes place, since the service is US-based by default (according to publicly available information), and what the enterprise agreement says about transfers, retention, and sub-processing. Those are contractual questions worth resolving explicitly rather than assuming, especially for regulated data.
How to choose
Match the tool to the property you cannot compromise on.
- If you need model choice plus verifiable EU handling and productivity beyond chat, Wysor is designed for exactly that, with the databanks, knowledge base, Scribe, and document generation in one EU-hosted workspace.
- If your priority is a clearly German-market vendor, DeutschlandGPT is worth evaluating on that basis.
- If you want a European assistant experience for a DACH team, look at kamium.
- If you want a multi-model platform layer with admin controls, assess Langdock.
- If you are standardising on the GPT family and can resolve the transfer questions contractually, ChatGPT Enterprise fits.
Whichever you shortlist, ask for the four properties in writing. A tool that answers all four with a signed agreement is compliant in the way that matters; one that only prints the word is not.
This comparison is also available in Spanish and French.
FAQ
What makes an AI tool GDPR-compliant? Verifiable properties, not a label: EU hosting or documented transfers, a signed DPA/AVV that covers the model providers behind the tool, exclusion of your data from model training, and a clear retention policy. Our GDPR-compliant AI guide walks through each one.
Is ChatGPT GDPR-compliant? According to publicly available information, ChatGPT Enterprise does not train on business data and offers enterprise controls, but the consumer plans and default US processing raise transfer and retention questions you have to document. Confirm the current terms and agreement for your specific plan.
Does Wysor train on my data? No. Wysor does not train on customer data, processes requests on EU infrastructure under zero data retention, and holds an AVV/DPA with each model provider.
Which tool is best for regulated professions? For work under professional secrecy, the priority is EU processing, a signed DPA reaching the sub-processors, and no training on your inputs. Wysor is built to help reduce the liability risk associated with professional secrecy and adds citation-verified legal and medical databanks, though you should still confirm any provider's terms against your own obligations.
Do I need an enterprise contract to use a compliant AI tool? Not necessarily. Some tools require enterprise agreements for their compliant tiers. Wysor offers a free plan and paid tiers at 19,99 EUR and 29,99 EUR per month with no enterprise contract required.
