The five assessment criteria
„GDPR-compliant“ appears on almost every provider’s website. The claim only becomes verifiable against concrete criteria. In this overview we assess each provider against the same five points:
- DPA under Art. 28 GDPR: Is there a data processing agreement, and is it publicly available or only on request?
- Hosting and data residency: Where does the data physically sit — and where does inference, the actual model processing, run? The two can diverge.
- Jurisdiction: Who owns the infrastructure? A Frankfurt data center belonging to a US hyperscaler still falls under the CLOUD Act via its parent company.
- Certifications and evidence: ISO 27001, SOC 2, BSI C5 — not as an end in themselves, but as independently audited proof of the security organization.
- Professional secrecy (§203 StGB): Decisive for law firms, tax advisors and medical practices — and legally separate from the GDPR question. Our GDPR AI guide 2026 explains the details.
Transparency note: This overview appears on the blog of ClapNClaw — one of the providers featured. That is why, for every provider (including ourselves), we name strengths and limits honestly. All information about third parties comes from public sources (as of June 2026) and may change — check the current provider website before making a decision.
Comparison table: 8 providers at a glance
| Provider | Models | Hosting / Inference | Price (as of June 2026) | Who it’s for |
|---|---|---|---|---|
| Langdock | 30+ (GPT, Claude, Gemini, Mistral and others) | Microsoft Azure, Frankfurt | from €20/user/month plus VAT (billed annually), + ~10 % API surcharge | SMEs & enterprises that need model variety |
| nele.ai | Several (US models, no training) | Servers in Germany | Credit-based, entry from ~€10/month per company | SMEs that don’t want per-seat licenses |
| meinGPT | Several providers selectable | Germany / EU | Individual, on request | SMEs needing training & integration support |
| DeutschlandGPT | GPT, Claude, Gemini, Llama, Mistral | Open Telekom Cloud (Magdeburg/Biere) | Free €0 · Business €24/user (€20 annually, plus VAT) | SMEs wanting a German cloud (BSI C5) |
| Aleph Alpha (PhariaAI) | Own + open models | On-premise / hybrid, no SaaS | Project pricing on request | Public authorities, large corporations, highest sovereignty |
| DATEV Copilot | Assistant AI within the DATEV ecosystem | DATEV cloud | Free license for DATEV members | Tax firms already using DATEV |
| Mistral Le Chat | Mistral models (Enterprise: + more) | France (EU jurisdiction) | Pro €14.99/month · Team €24.99/user/month | Teams wanting an EU model provider |
| ClapNClaw | Claude (Anthropic) via AWS Bedrock | Hetzner Frankfurt (container per firm) / Bedrock eu-central-1 | Team €29/user (€25 annually) · Compliance €59 (€50 annually) | Law firms, tax advisors, practices (§203 StGB) |
Sources: providers’ public pricing, security and product pages, as of June 2026. Fields without a price: no public list price available.
Langdock — the multi-model platform from Berlin
Focus: Langdock positions itself as an AI workplace platform for businesses and is the best-known German generalist. More than 30 models (GPT, Claude, Gemini, Mistral and others) run under a single interface, alongside workflows, agents and an API. Hosting is on Microsoft Azure in Frankfurt, with a DPA available immediately, ISO 27001 certification and SOC 2 Type II auditing. The Business plan starts at €20 per user per month plus VAT with annual billing (as of June 2026); API usage carries a surcharge of around 10 % on top of token prices.
Verdict: For teams of ~50 users and up that need model variety and automation, this is the strongest German platform. Note: Azure is a US hyperscaler — the Frankfurt location does not fully shield it from the CLOUD Act reach of the parent company. A §203 supplementary agreement is not offered publicly. You’ll find the direct comparison with ChatGPT Team and ClapNClaw in our honest three-tool comparison.
nele.ai — a credit model for the Mittelstand
Focus: nele.ai (developed by GAL Digital GmbH) targets small and medium-sized businesses that want to roll out AI company-wide without licensing per head. Instead of per-seat pricing, there is a usage-based credit model starting at around €10 per month for the entire company (as of June 2026). The servers are located in Germany, the DPA is publicly viewable on the website, and inputs are not used to train models.
Verdict: Attractive for SMEs with many occasional users — the credit model doesn’t penalize inactive accounts. Anyone with few heavy users, or needing industry-specific compliance (§203, DATEV), will find no specialization here.
meinGPT — platform plus guidance
Focus: meinGPT combines a German-hosted, GDPR-compliant AI platform with training offerings (Academy), no-code workflows and a data integration layer (DataVault) for more than 20 sources. The model selection spans several providers. There is no public list price — pricing is set individually according to company size and requirements (as of June 2026).
Verdict: A good fit for mid-sized companies that want not just a tool but rollout guidance and staff training. The lack of price transparency makes quick comparison harder; for small teams wanting self-service, providers with public plans are simpler.
DeutschlandGPT — a German cloud, many models
Focus: DeutschlandGPT bundles GPT, Claude, Gemini, Llama and Mistral on a platform that runs on the Open Telekom Cloud in Magdeburg and Biere — ISO 27001 (TÜV Süd) and BSI C5-certified German infrastructure. Zero-data-retention agreements are in place with the US model providers. Pricing: a Free plan at €0, Business from €24 per user per month (€20 with annual billing, plus VAT, as of June 2026).
Verdict: If you understand „AI made in Germany“ as German infrastructure jurisdiction, DeutschlandGPT comes closest among the multi-model platforms: the Telekom cloud is not subject to a US parent. The inference of the US models themselves, however, remains the responsibility of the respective model providers — here it is the zero-retention contracts that protect you, not the server location.
Aleph Alpha (PhariaAI) — sovereign AI from Heidelberg
Focus: Aleph Alpha is the best-known representative of „AI made in Germany“ in the strictest sense: own models, own platform, a German company. PhariaAI is a sovereign AI operating system for businesses and public administrations, with a focus on explainability and compliance — run on-premise, hybrid or in the customer’s own cloud. There is no general SaaS offering; pricing is project-based.
Verdict: The right choice for public authorities, critical infrastructure and large corporations where data must not leave the building at all. For a 10-person law firm or medical practice, an on-premise project with dedicated hardware and operational responsibility is usually overkill.
DATEV Copilot — AI inside the tax-advisor ecosystem
Focus: Since February 2026 the DATEV Copilot (which grew out of the DATEV AI Workshop) has bundled assistant features for firms: text generation, translations, document analysis, a prompt library and de-identification of personal data. The license is free for DATEV members, orderable via the DATEV shop, and will be integrated into the DATEV cloud solutions over the course of 2026.
Verdict: For tax firms within the DATEV universe, the natural first step — free, cooperatively owned, deeply integrated. The limits: the Copilot is an assistant within the DATEV ecosystem, not a freely configurable AI platform; anyone who wants broader workflows, their own knowledge bases or coverage for other professions will need complementary tools.
Mistral Le Chat — the EU model provider
Focus: Mistral is the only provider in this overview that brings both its own frontier model and a European headquarters (Paris). Le Chat runs by default on infrastructure in France under French law — data does not leave the EU. Pricing: Pro €14.99/month, Team €24.99 per user per month, Enterprise with dedicated hosting on request (as of June 2026).
Verdict: The cleanest answer to the jurisdiction question: no US corporation in the chain. On the other hand: full DPA coverage only comes with the Enterprise plan, and German-language support and industry-specific compliance (§203, DATEV) are not part of the core product.
ClapNClaw — the specialist for professionals bound by confidentiality
Focus: ClapNClaw (that’s us) deliberately skips a model marketplace and instead builds a compliance architecture for professions where data protection breaches are a criminal offense: law firms, tax advisors and medical practices. Each firm receives an isolated container on Hetzner servers in Frankfurt (a German GmbH, with no US corporate ties); inference runs with Claude (Anthropic) statelessly via AWS Bedrock eu-central-1, with no storage and no training. The Compliance plan includes the §203 supplementary agreement under §203 para. 4 StGB as well as a DATEV connection (OAuth + invoice extraction). Pricing: Team €29 per user per month (€25 annually), Compliance €59 (€50 annually), DPA from day one, support in German.
Verdict — honest about ourselves too: ClapNClaw offers Claude only — anyone who wants model variety is better served by Langdock or DeutschlandGPT. There is no on-premise operation; if you need that, look at Aleph Alpha. And as a younger product, we have fewer integrations than the established platforms. Our niche is deliberately narrow: the combination of a dedicated container under German jurisdiction, a short compliance chain (one model, one DPA, one §203 agreement) and DATEV — verifiable in an afternoon rather than across an audit project.
Which provider for which case?
- Large team, many models, workflows: Langdock — or DeutschlandGPT if the infrastructure jurisdiction should be German.
- SME with many occasional users: nele.ai (credit model instead of per-seat).
- Mid-sized company needing training and integration: meinGPT.
- Public authority or large corporation, data must not leave the building: Aleph Alpha (PhariaAI), on-premise.
- EU jurisdiction with no US corporation in the chain: Mistral Le Chat.
- Tax firm with DATEV, a first step without budget: DATEV Copilot (free for members).
- Law firm, tax practice or medical practice with client/patient data: ClapNClaw — the only provider in this overview with a publicly offered §203 supplementary agreement plus a DATEV connection.
- Combinations are legitimate: Many firms use the DATEV Copilot for DATEV-internal tasks and a specialized platform for everything beyond. What matters is a clear internal policy on which data may go into which tool.
The most common mistake when choosing: confusing GDPR compliance with §203 StGB. A DPA under Art. 28 GDPR makes a tool usable for normal business data — but it does not replace the written confidentiality undertaking under §203 para. 4 StGB that professionals bound by confidentiality need from every external service provider. Ask every provider on this list about it explicitly before you process client or patient data.
Frequently asked questions
Which AI is GDPR-compliant?
Is ChatGPT GDPR-compliant?
What does „AI made in Germany“ really mean?
Is a DPA enough for lawyers, tax advisors and doctors?
For more depth: the complete GDPR AI guide 2026 explains the legal situation and the review steps for all professions; the head-to-head comparison of ClapNClaw vs. ChatGPT Team vs. Langdock goes deep on three providers.
Do you process client or patient data?
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