ChatGPT Enterprise is a capable product, and for many teams it is the obvious first choice. The reason people go looking for an alternative is rarely the model quality. It is the questions that come up when the data leaving the browser is a client file, a patient note, or a contract under negotiation. Where is that data processed. Is there a signed agreement covering the sub-processors behind the service. Are the inputs excluded from model training. And are teams locked into one model family when the work would be better served by picking the right model per task.
According to publicly available information, ChatGPT Enterprise does not train on your business data and adds administrative and security controls over the consumer plans. The friction for European teams is different: the service is US-based by default (according to publicly available information), which turns data residency and international transfers into something you have to document rather than assume. If your team handles regulated or confidential data, that documentation burden is often what sends you to this page.
This comparison looks at four alternatives that European teams evaluate for exactly that reason: DeutschlandGPT, Langdock, Claude Team, 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 confirm the provider's current documentation before you commit.
If you want the framework these tools are scored against first, our guide to GDPR-compliant AI explains EU hosting, the DPA, zero data retention, and no training on customer data in more depth. For a broader shortlist that is not tied to the ChatGPT Enterprise question specifically, see our roundup of the best GDPR-compliant AI tools.
Short answer: The strongest ChatGPT Enterprise alternatives for an EU team are the ones that fix data residency rather than model quality: EU-hosted processing, a DPA that reaches the sub-processors, and no training on your inputs. DeutschlandGPT, Langdock, Claude Team and Wysor are compared below. Wysor keeps data in the EU, offers several model families in one workspace, and has a free plan with published pricing.
The five things to compare
An alternative is only an upgrade if it fixes the specific thing that pushed you off the default. Here is the checklist, each item verifiable rather than a matter of trust.
- Data residency. 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 record.
- DPA / AVV covering sub-processors. Is there a signed data processing agreement, and does it reach 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, without an opt-out step your team has to remember?
- Model choice. Are you tied to one model family, or can you pick between several in one workspace? Enterprise standardisation on a single family is a real constraint when a different model would do a task better.
- Price. Does the compliant tier require an enterprise contract and a minimum seat count, or can a small team start without procurement?
The comparison at a glance
| Tool | Models | Data residency | DPA covers sub-processors | No training | Price |
|---|---|---|---|---|---|
| Wysor | Claude, GPT, Gemini and more in one workspace | 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 |
| 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) |
| Claude Team | Claude family | US-based by default (according to publicly available information) | Team/enterprise agreement (according to publicly available information) | No training on business data (according to publicly available information) | Per-seat, team tier (according to publicly available information) |
| ChatGPT Enterprise (baseline) | GPT family | US-based by default (according to publicly available information) | Enterprise agreement (according to publicly available information) | No training on business data (according to publicly available information) | Enterprise, on request |
The table is a starting point, not a verdict. The prose below explains what each alternative is genuinely good for.
Wysor
Wysor is a private, EU-hosted AI workspace built for teams that 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 your team picks the right model for each task instead of standardising on 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 enterprise chat seat is the work built around the chat. A knowledge base lets your team 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, which the user reviews and releases.
For teams 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, so a small team can prove the value before procurement is ever involved. For a team 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 teams whose priority is a clearly German-market vendor and interface, and who want to move away from a US-default service, 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 reaches those models, 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 data-residency position.
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 teams that specifically want a platform layer over multiple models with administrative controls, and see model choice as the thing ChatGPT Enterprise lacks, it is a reasonable alternative to assess.
Confirm the 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.
Claude Team
Claude Team is the team tier of the Claude family and, according to publicly available information, does not train on your business data and adds shared workspace and administration features over the individual plans. For a team that prefers Claude's reasoning and writing to the GPT family, it is a natural alternative to ChatGPT Enterprise on capability grounds.
The properties to weigh for European work are the same ones that sent you looking. According to publicly available information the service is US-based by default, so data residency and transfers remain contractual questions to resolve explicitly, and you stay within a single model family. Confirm the current team or enterprise agreement terms for your specific plan.
How to choose
Match the alternative to the reason you are leaving the default.
- If the problem is data residency plus model choice plus productivity beyond chat, Wysor is designed for exactly that, with EU hosting, an AVV/DPA per model provider, several model families in one workspace, and the databanks, knowledge base, Scribe, and document generation on top. It also needs no enterprise contract, so a small team can start today.
- If your priority is a clearly German-market vendor, DeutschlandGPT is worth evaluating on that basis.
- If you want a multi-model platform layer with admin controls, assess Langdock.
- If your team simply prefers the Claude family and can resolve the transfer questions contractually, Claude Team fits.
Whichever you shortlist, ask for the five properties in writing. An alternative that answers data residency, sub-processor DPA, and no-training with a signed agreement fixes the thing that pushed you off ChatGPT Enterprise. One that only prints the word does not.
This comparison pairs with our broader roundup of the best GDPR-compliant AI tools, which scores a wider set of options on the same framework.
FAQ
Why look for a ChatGPT Enterprise alternative at all? The model quality is rarely the issue. Teams look for an alternative when they need EU data residency, a signed DPA that reaches the sub-processors, and no training on their inputs, without documenting a US-default transfer for every request. According to publicly available information ChatGPT Enterprise does not train on business data, but it is US-based by default, which is the friction European teams weigh.
Is there a ChatGPT Enterprise alternative that is EU-hosted? Yes. Wysor processes requests on EU infrastructure, holds an AVV/DPA with each model provider, and does not train on customer data. DeutschlandGPT and Langdock also market EU hosting (according to publicly available information); confirm which option applies to your plan.
Do these alternatives require an enterprise contract? Not all of them. Some tiers require enterprise agreements and a minimum seat count. Wysor offers a free plan plus Plus at 19,99 EUR and Premium at 29,99 EUR per month with no enterprise contract required, so a small team can start without procurement.
Can an alternative give me more than one model? Yes. ChatGPT Enterprise and Claude Team each stay within a single model family. Wysor and Langdock (according to publicly available information) put several model families in one workspace, so your team picks the right model per task.
Which alternative fits a team under professional secrecy? For work under confidentiality, 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.
