GDPR-compliant & local AI
Run GDPR-compliant AI — EU region or local.
Modern AI and data protection are not a contradiction. We run large language models in a GDPR-compliant way — in an EU region of leading cloud providers or fully local on your infrastructure. You use AI productively without losing control over data, location and cost.
Three routes to GDPR-compliant AI
Depending on data sensitivity, latency and cost requirements, we choose the right operating route:
- EU cloud region — e.g. Amazon Bedrock, Azure OpenAI or Google Vertex AI with EU data processing.
- Local / on-premise — open models (Llama, Mistral, Gemma) on your hardware, so data never leaves your house.
- Hybrid — sensitive processing local, scaling load in the EU cloud.
More than a privacy text
GDPR compliance does not come from a clause but from architecture: permitted regions, permissions, logging, deletion and retention rules, data processing agreements. We make technical guardrails documentable — in line with the logic of the EU AI Act and your internal compliance.
Operation that stays explainable
Production AI needs observability: what did the system do, with which data, at what cost? We set up monitoring, cost metrics and clear ownership so your AI remains traceable even when something goes wrong.
Frequently asked questions
Is ChatGPT/Copilot automatically GDPR-compliant?
Not automatically. What matters is data location, data processing agreements, permissions and which data is processed at all. We assess this per use case and choose the right operating route.
Can models really run locally?
Yes. Open models run on your own or hosted hardware. This is especially useful when data must not leave the house or when latency and cost should stay predictable.
What about the EU AI Act?
The EU AI Act requires a risk-based approach to AI. Clean operation — documented regions, logging, ownership — makes compliance considerably easier. We set up the technical guardrails accordingly.