GDPR-compliant AI chatbot, hosted in the EU
- HostingEU region or on-prem
- ModelsLlama · Mistral · Qwen
- AnswersRAG + source citations
- TrainingNever on your data
For companies that can't send customer data to a US cloud. We build chatbots that answer from your own documents, keep every conversation inside the EU or on your own servers, and tell the user they are talking to AI.
What a GDPR-compliant AI chatbot needs to do
A chatbot is GDPR-compliant when personal data stays inside the EU or on your own servers, the model provider does not train on your conversations, and the user is told they are talking to AI. A default ChatGPT or US-hosted widget usually breaks the first and second of those. We design around all three from the start, so compliance is part of the build rather than a patch.
The problem with US-hosted chatbots
The moment a customer message leaves the EU for a US API, two problems follow you. The Schrems II ruling makes EU-to-US transfers of personal data legally fragile, and the US CLOUD Act can compel a US provider to hand that data over. For health, legal, financial and public-sector data, that risk is usually unacceptable. Keeping the model and the data inside the EU, or on your own hardware, removes the transfer question instead of trying to paper over it.
How we keep the data in the EU
- EU-region or on-prem hosting. Frankfurt-region cloud, your private cloud, or your own servers. Documents, embeddings and chat logs stay in that boundary.
- Open-weight local models. Llama, Mistral and Qwen run on your infrastructure, so no conversation depends on an external API. Recent open models are good enough for most support and internal use cases.
- Grounded answers with citations. The bot answers from your knowledge base and shows its source, so staff and customers can check it. No grounded answer means it says so and hands off.
- No training on your data.Your conversations are not used to train anyone's model. Retention is set by you and written into the contract.
Deployment options
| EU-region cloud | On-prem / self-hosted | Hybrid | |
|---|---|---|---|
| Data leaves your control | Stays in EU region | Never | Sensitive parts stay local |
| Running cost | Low–medium | Higher (your hardware) | Medium |
| Model quality ceiling | High | Good (open models) | High where allowed |
| Best for | Most EU companies | Health, legal, public sector | Mixed sensitivity |
Compliance, built in
GDPR for the data, the EU AI Act for transparency and logging, NIS2 for access control and audit if you are in scope. We treat these as design constraints from the first sprint, so you are not retrofitting compliance onto a system that already shipped.
GDPR AI chatbot — frequently asked questions
Three things in practice: personal data stays inside the EU (or on your own servers), the user knows they are talking to a bot and what happens to their data, and the model provider does not train on your conversations. A chatbot that ships customer messages to a US API on a default setting fails the first and third of those.
Related solutions
Where a compliant chatbot usually fits in a wider AI setup.
Scope your GDPR-compliant chatbot
Tell us what the bot needs to answer and where the data has to stay. Within 24 hours we reply with a concrete price range, a hosting recommendation and the next step.