8 GDPR-Compliant Claude Alternatives for Business in 2026

The search for a GDPR-compliant Claude alternative usually starts with one email from the data protection officer. Half the sales team has been drafting quotes in Claude Pro for months, the results are good, and now someone asks: where is this processed, is there a DPA, and who decided that customer names go into a personal account? Nobody wants to give Claude up. The team just needs a setup the company can sign off.

This list is for teams that like Claude but need EU processing, a data processing agreement and no training on their data. Every entry is checked against the vendor’s own pages, as of October 2026.

What is a GDPR-compliant Claude alternative?

A GDPR-compliant Claude alternative is an AI tool a company can use instead of, or on top of, Anthropic’s Claude plans with a signed data processing agreement, a clear processing location and no training on company data. Some alternatives still run Claude models, but through a provider that processes them in Europe. Others use different models, such as Mistral, or bring the EU options of a suite like Microsoft 365 or Google Workspace.

Why alternatives to Claude?

To be fair first: Claude writes well, handles long documents and contracts carefully, and Anthropic offers business plans with real controls. Team and Enterprise do not train on your content by default¹, and Anthropic has a data processing addendum with EU Standard Contractual Clauses³. Teams in Germany and the EU still look for alternatives, for these reasons:

• The DPA depends on the plan - Anthropic’s DPA is part of the Commercial Terms or another agreement that references it³. Pro and Max are individual plans. If your team started on personal Pro accounts, you first have to move to Team, Enterprise or the API.
• Where the data lives - on the Claude API, inference runs “global” or “US only”, and “us” is currently the only workspace geo for data at rest². For the Claude apps, the pricing page names no EU region¹. If your data protection officer requires processing in Europe, that is the open point.
• Training settings on individual plans - on Free, Pro and Max, model training is an opt-out setting each person controls¹. In a team of personal accounts, nobody can check every setting.
• Price per seat - Team costs $20 per Standard seat per month billed annually, $25 monthly, and Premium seats $100 or $125¹. Rolling it out to everyone who touches customer data gets expensive.
• Answers, not finished work - Claude drafts the quote or the payment reminder. Putting it into DATEV, HubSpot or the CRM and sending it is still your job.

None of this makes Claude a bad choice. The answer just differs by plan, as we show in Is Claude GDPR compliant?.

The 8 GDPR-compliant Claude alternatives compared

Hosting and data protection are shown as each vendor documents them on its own pages. Where a vendor does not say, the table says “check with vendor”. Prices are as of October 2026 and excl. VAT.

The 8 GDPR-compliant Claude alternatives in detail

Superkind comes first; the other seven are described as their vendors document them.

1. Superkind

Superkind is an AI employee for your team. You write to Superkind in Outlook or any email inbox, Microsoft Teams, Slack or the Superkind web app like you would to a colleague, and it does the task in your programs and asks you before anything goes out. It is hosted in Europe, GDPR compliant and works through 1,500+ integrations, including Outlook, SharePoint, DATEV, HubSpot and Personio. For Claude fans the key point: Superkind uses AI models from OpenAI, Anthropic, Mistral and Google, processed in Europe. You keep the model quality, and your data stays in the European setup your data protection officer can sign off.

Features

• One AI employee, every channel - the same Superkind works in email, Teams, Slack and the web app with the same knowledge, rules and approvals. Daniel emails a task, his colleague Nadine sees the result in Teams.
• Does the work, not just the draft - Superkind writes the quote and sends it from HubSpot, books the invoice in DATEV or files the contract in SharePoint, so nobody copies text out of a chat window.
• Approval and your rules - before it sends, books or changes anything, Superkind asks you to approve or reject. It follows rules like “Quotes over €10,000 need sign-off from management”.
• Company Brain and routines - every task makes Superkind smarter, and the knowledge about customers, prices and processes stays with the company when people leave. What you explain once runs as a routine.

Best for

• Teams that like Claude but need EU processing and a DPA
• Sales, accounting, purchasing and customer service
• Companies on Outlook, Teams or Slack with systems like DATEV or HubSpot
• Companies without an in-house AI team

How to use Superkind as your Claude alternative

Take the quote your sales team used to draft in Claude and then paste into HubSpot. With Superkind it takes four steps, and the last one happens on its own.

1. 1

   You write to Superkind

   In Outlook, Teams, Slack or the web app, in plain words, like to a colleague. Forward the customer’s request and say what you want.

2. 2

   Superkind does it in your system

   It reads the request, takes your prices and terms from the Company Brain, writes the quote and prepares it in HubSpot, processed in Europe.

3. 3

   Superkind asks for approval

   Before the quote goes out, you see it and click Approve or Reject, in Teams, Slack or your inbox. Quotes over €10,000 go to management first.

4. 4

   Done, and next time it is a routine

   Say it once and it keeps running: “Every request from the website form gets a quote draft within the hour.”

From the first task to your own app

For a sales team that used to work in Claude, the path to your own AI team has four stages.

1. 1

   Ready in minutes

   Sign up for free, forward the first customer request by email or in Teams and watch the quote get written.

2. 2

   Tasks become routines

   What you explained once keeps running: every new request gets a quote draft, and Superkind asks for approval before anything goes out.

3. 3

   Learns from day one

   Every quote adds to your Company Brain: discounts per customer, your prices, your terms. Unlike prompts in a personal Claude account, this knowledge is never lost.

4. 4

   Your own Super App

   When it gets more complex, you do not start over: you build your own quote app with its own interface on the Superkind platform, on top of what Superkind already knows, yourself or with the Superkind team. It all belongs to you.

Data protection and EU hosting

For a Claude alternative this means: the customer requests, quotes and contracts your team used to paste into a chat are processed in Europe, under one DPA for the whole company, and not in a personal account with its own training setting.

2. Langdock

Langdock is a Berlin-based AI workspace that gives your team many models in one interface, Claude models among them⁶. For teams that like Claude’s chat, it is the closest switch: the same way of working, with EU data residency and a DPA from Langdock⁵.

Features

• 40+ models - models from Anthropic, OpenAI, Google and others in one chat⁶.
• Agents and workflows - custom agents in the base plan, workflows as an add-on⁶.
• Data protection - EU data residency, a DPA, custom data retention, and no training on your data by Langdock or the model providers⁵.
• Deployment options - managed, or a dedicated deployment on Enterprise⁶.

Best for

• Teams that want Claude-style chat in an EU setup
• Companies that want model choice
• IT teams that need central control
• Price (as of October 2026): Business from €25 per user/month excl. VAT, 7-day trial⁶

3. Mistral Le Chat

Mistral AI from France builds its own models and offers Le Chat as an assistant for teams. It is the choice for companies that want a European model provider, not just European hosting of US models. Mistral links a data processing agreement on its site, and Enterprise customers can run it self-hosted, in a private cloud or on-premises⁷.

Features

• Own European models - chat, research and coding on Mistral’s models.
• Team controls - domain verification and data export on the Team plan⁷.
• Enterprise - custom models, agents and workflows, audit logs and SAML SSO⁷.
• Training opt-out - model training on your data can be switched off⁷.

Best for

• Companies that prefer a European model provider
• Teams that need on-premises AI
• Cost-conscious small teams
• Price (as of October 2026): Pro $14.99/month, Team $24.99 per user/month, excl. taxes⁷

4. ChatGPT Enterprise with data residency in Europe

OpenAI offers European data residency for ChatGPT Enterprise and Edu: new workspaces can store customer content at rest in Europe, including conversations, uploaded files and custom GPTs. Since January 2026, eligible customers can also choose in-region GPU inference in Europe⁸. For teams that want a second large assistant next to or instead of Claude, it is the most direct swap.

Features

• EU data at rest - only for newly created workspaces, so plan it before you start⁸.
• In-region inference - for eligible Enterprise and Edu customers⁸.
• Enterprise controls - admin console, SSO and usage analytics.

Best for

• Teams that already know ChatGPT
• Companies starting a new workspace with EU residency
• Writing, analysis and research
• Price: on request from OpenAI

5. Microsoft 365 Copilot

Microsoft 365 Copilot (now named Microsoft Copilot) works inside Word, Excel, Outlook and Teams and answers from your Microsoft 365 data. For EU customers it is an EU Data Boundary service, and prompts and responses are not used to train foundation models⁹. One detail matters for Claude fans: Microsoft offers Anthropic models inside Copilot, but these are currently excluded from the EU Data Boundary⁹.

Features

• AI in Office - drafts in Word and Outlook, summaries of Teams meetings, analysis in Excel.
• Your Microsoft 365 data - answers from emails, chats and documents the user may see⁹.
• Admin and compliance - retention and search through Microsoft Purview⁹.
• Model choice - admins decide whether to allow Anthropic and OpenAI models⁹.

Best for

• Companies fully on Microsoft 365
• Writing and summarising inside Office
• IT teams that want one vendor contract
• Price: add-on per user on top of a Microsoft 365 licence

6. Gemini in Google Workspace

For companies on Google Workspace, Gemini sits in Gmail, Docs and Sheets. Since June 2025, Gemini features in Workspace follow your organisation’s data region settings, so admins can choose EU processing down to the organisational unit, on Enterprise Plus or with the Assured Controls add-ons¹⁰.

Features

• Gemini side panel - help in Gmail, Docs, Sheets and Meet.
• “Help me write” - drafts directly in Google Docs and Gmail¹⁰.
• Data regions - EU or US processing, set per organisational unit¹⁰.

Best for

• Companies on Google Workspace
• Teams that write in Gmail and Docs
• Organisations on Enterprise Plus
• Price: part of Google Workspace plans; data regions need Enterprise Plus or Assured Controls¹⁰

7. nele.ai

nele.ai is a German AI platform with models from OpenAI, Google and Anthropic, Claude Sonnet and Claude Opus among them. You buy a monthly credit volume for the whole organisation instead of paying per person, and the servers are in the EU with a German location¹¹.

Features

• Claude, GPT and Gemini - several models in one interface¹¹.
• No per-user fees - one credit volume for the whole organisation¹¹.
• EU hosting, no training - all data and components on EU servers, no training on user data¹¹.
• Knowledge database - your own documents as an add-on¹¹.

Best for

• Small teams with a tight budget
• Companies that want everyone to have access
• Teams that want Claude models in an EU setup
• Price (as of October 2026): from €10/month for 1,000 credits, excl. VAT¹¹

8. Claude on Amazon Bedrock (EU regions)

If your IT team builds its own applications, you can call Claude models through Amazon Bedrock instead of Anthropic’s own API. Bedrock offers geography-based inference profiles, including EU profiles, and AWS advises checking the destination regions from every source region you use if you have data residency requirements¹². This is a route for developers, not a chat for the sales team.

Features

• Claude models via AWS - same models, AWS contract and billing.
• EU inference profiles - geographic profiles whose destination list does not change¹².
• Control through IAM and SCPs - restrict which regions may run inference¹².

Best for

• IT teams that build their own tools
• Companies already on AWS
• Developers who need Claude via API with EU processing
• Price: pay per use, see AWS

Switching from Claude to Superkind

You do not have to cancel Claude on day one. Most teams run both for a few weeks and move task by task.

• Notice period - Pro and Team seats can be booked monthly or annually¹. Monthly plans end with the billing period; on annual plans, keep the seats until renewal and move the work first.
• Data export - on Team and Enterprise, the Primary Owner exports organisation data under Organization settings > Data and Privacy, and the download link expires after 24 hours⁴. Export before you cancel.
• What to take over - your best prompts, project instructions and style guides. They become rules and knowledge in Superkind’s Company Brain, so they belong to the company, not to one account.

The first three steps

1. 1

   Pick the task you do most in Claude

   Quotes, replies to customer requests, contract summaries. Take the one your team repeats every week.

2. 2

   Sign up and connect your systems

   Start free at app.superkind.ai and connect Outlook, Teams or Slack plus the system where the result belongs, for example HubSpot or SharePoint.

3. 3

   Send the first task and make it a routine

   Write it to Superkind like a colleague, approve the result, then say “do this every time”. Cancel the Claude seats you no longer need at the next renewal.

How to choose the right Claude alternative

Six questions sort the list before you book a single trial.

1. Do you want to keep Claude models?

Superkind, Langdock and nele.ai offer Claude models next to others, and Bedrock gives developers direct access. If you want a European model provider, Mistral is the option on this list.

2. Where must the data be processed?

Ask your data protection officer what “EU” means for you: data at rest, inference, or both. ChatGPT Enterprise separates the two settings⁸, Copilot excludes Anthropic models from the EU Data Boundary⁹, and Superkind is hosted and processed in Europe.

3. Is there a DPA for your plan?

A DPA on the vendor’s website does not help if your plan is not covered. Check that it applies to the plan you actually buy, and where it is not on the vendor page, ask in writing.

4. Should the AI answer or act?

Langdock, Mistral, ChatGPT, Copilot and Gemini give your team a better chat. If the work afterwards always ends in DATEV, HubSpot or the CRM, look for a tool that does the task there and asks before it sends, like Superkind.

5. Who in the team gets access?

Per-seat plans push you to give AI to a few people. Usage-based nele.ai or Superkind with unlimited users let everyone who handles customer data work in the same governed setup.

6. What is the real price?

Compare per-seat prices like Claude Team at $20 to $25¹ or Langdock at €25⁶ with organisation-wide pricing: nele.ai from €10¹¹, or Superkind (as of October 2026) with a free start of up to €150 in credits, Business from €50 per month for unlimited users and Enterprise at a custom price.

6 tips for a GDPR-compliant AI setup

Collect the personal Claude accounts first

Ask the team who uses Claude on a personal plan and for what. That list is your migration plan and shows which data has already been in which account.

Get the DPA before the rollout

Sign the data processing agreement before real customer data goes in, and keep it with your records of processing. With Superkind you get it through the Trust Center. Also plan AI training for the team: Article 4 of the EU AI Act requires companies that use AI to ensure sufficient AI literacy among their staff.

Test with real but harmless cases

Use last month’s real quotes and requests. Demo data never shows how a tool handles your exceptions.

Write down your rules

Who signs off quotes, which customers get special terms, where complaints go. These rules make every AI tool better, and in Superkind they become part of the Company Brain.

Keep knowledge in the company

Prompts and project instructions in personal chat accounts leave with the person. Choose a setup where knowledge and routines belong to the company.

Measure the finished task, not the draft

A draft that still needs fifteen minutes of copying into HubSpot saves nothing. Track the time from request to sent quote.

Conclusion

Claude is a strong model, and with Team, Enterprise or the API you get a DPA and no training by default. If you need processing in Europe, Langdock, nele.ai and Bedrock keep Claude models in an EU setup, Mistral gives you a European model provider, and ChatGPT Enterprise, Copilot and Gemini bring the EU options of their suites. If you want Claude-quality work processed in Europe and done in your systems, Superkind does it in Outlook, Teams and Slack with 1,500+ integrations such as DATEV, HubSpot and SharePoint. Your next step: take the task your team does most in Claude and send it to Superkind today.

Frequently Asked Questions

Related Articles

• Is Claude GDPR Compliant? Examples, Costs and How to Start
• Claude Pricing 2026: What Does Claude Cost for Business?
• The 10 Best ChatGPT Alternatives for Business in 2026
• The Best GDPR-Compliant AI Tools with EU Hosting (2026): An Honest Buyer’s Comparison
• Which LLM Should the Mittelstand Choose? GPT, Claude, Gemini and Mistral Compared
• Quotes and RFPs with an AI employee

Henri Jung

Co-founder of Superkind, the AI employee teams write to in Outlook, Teams and Slack. Henri helps companies, from small teams to the Mittelstand, hand their routine work to AI - without new tools, consultants or an in-house AI team.