Practical guides for building GDPR-compliant AI applications with private EU infrastructure.
How European businesses run LLMs compliantly. Data residency, zero-retention inference, DPA requirements and practical architecture for GDPR-safe AI.
Step-by-step: configure Bring Your Own Key in Cursor AI with an EU-hosted provider. GDPR-compliant, OpenAI-compatible, 5-minute setup.
Connect with vetted AI consultants who specialize in GDPR-compliant infrastructure. European-based experts for enterprise AI deployment.
Practical guide: 12 steps to GDPR-compliant AI with Python code and EU AI Act checklist. Engineering-first, not legal jargon.
Build a production RAG system in Python with FastAPI, Qdrant and EU-hosted inference. GDPR-compliant document search with PyMuPDF, embeddings and private LLM.
Step-by-step tutorial: build a private RAG pipeline with Qwen3 models via an OpenAI-compatible API. Embedding, retrieval and generation with no data leaving the EU.
Compare EU-hosted LLM APIs by pricing, latency, GDPR posture, data retention and OpenAI compatibility. Side-by-side for European AI teams.
How stateless inference solves GDPR for AI. Architecture patterns, Python code and a working zero-retention chat app you can deploy today.
Drop-in OpenAI replacement hosted in the EU. Change base_url, keep your SDK — full GDPR compliance. Python, Node.js and cURL examples included.
Complete developer guide to the EU AI Act. Risk classification API, Article 12 audit logging, human oversight interfaces, conformity documentation — with working Python code.
Compact reference to all four EU AI Act application dates. Prohibitions, GPAI rules, high-risk obligations, transparency — with developer checklists per deadline.
Build complete RAG in pure Python — no Qdrant, no Pinecone, no Docker. EU-hosted embeddings via qwen3-embed, persistence to JSON, full code under 100 lines.