Service
Sovereign AI & GDPR-Compliant LLM Infrastructure
Private, self-hosted, and EU-sovereign LLM deployment. OVHcloud, Scaleway, Hetzner, Mistral AI. Full EU data residency, no CLOUD Act exposure, audit-ready for regulated industries.
Who this is for
- Banks, insurers, and fintechs regulated by ACPR, BaFin, FINMA, CONSOB, or DNB
- Healthcare organisations needing HDS-compliant AI (France) or KHZG-aligned deployments (Germany)
- Law firms and legaltechs with attorney-client privilege concerns
- Public sector and defence contractors where CLOUD Act exposure is disqualifying
- Scale-ups preparing for EU AI Act high-risk system obligations
- Any European enterprise whose DPO or Compliance officer has blocked US-hosted AI APIs
What's included
- Provider selection: OVHcloud (AI Endpoints, AI Deploy, AI Training, AI Notebooks, HDS) vs Scaleway (Generative APIs, Inference, H100 clusters) vs Hetzner (cost-optimised GPU) vs on-prem
- Model selection: Mistral Large / Codestral / Pixtral, Aleph Alpha Luminous, self-hosted Llama 3, Mixtral, Qwen, DeepSeek, fine-tuned SLMs
- Inference stack: vLLM, TGI, Ollama, load-balanced, observable, token-metered
- Retrieval architecture: Qdrant, Weaviate, pgvector, Milvus; hybrid search; reranking
- Orchestration: LangChain, LangGraph, LlamaIndex, DSPy; eval harness and guardrails
- Compliance deliverables: DPIA, Transfer Impact Assessment, Article 28 DPA template, AI Act risk classification, ISO/IEC 42001 alignment
- Cost modelling: token economics, GPU hour forecasting, cache-hit optimisation
- Observability: Langfuse, OpenTelemetry, Helicone, full audit trail of every inference
How we work
- 1
Regulatory scoping
Identify the applicable regulations (GDPR, EU AI Act, NIS2, DORA, sector-specific) and the compliance posture required: data residency, retention, audit, explainability, human oversight.
- 2
Architecture design
Provider and model selection, network topology (VPC, private endpoints, zero egress to non-EU), secret management, audit logging.
- 3
Build & integrate
Stand up the inference stack, orchestration, retrieval, and guardrails. Integrate with the client application and existing IAM/SSO.
- 4
Compliance artefacts
Write the DPIA, DPA, TIA, AI Act risk classification memo, and operational runbook. Handoff to the DPO / CISO.
- 5
Operate or transfer
Either operate the stack on retainer, or fully transfer to the internal team with training and a runbook.
Outcomes you can expect
- LLM stack with zero prompt/response egress to non-EU jurisdictions
- DPIA and TIA documents your DPO can sign off on
- AI Act risk classification with defensible reasoning
- Audit trail covering every inference request (who, what, when, model version)
- Provider cost projections for 12 and 24 months
- Inference latency and availability SLO baselines
- A migration path away from US-hosted APIs if that becomes mandated
- A compliance story your enterprise customers will accept in procurement
Pricing
Discovery sprint (3-5 days)
from €2,500
Regulatory scoping + architecture options memo.
Full deployment
from €25,000
Depends on scale and compliance depth. Typically 3-6 weeks end-to-end.
Ongoing retainer
from €2,100/month
Monitor, adjust, and keep compliance artefacts current.
All prices exclude VAT. EU B2B clients with a valid intra-community VAT number benefit from reverse charge.
Frequently asked
Is it really possible to run GPT-4-level quality on EU infrastructure?
Yes, in most use cases. Mistral Large and Claude Sonnet via Bedrock EU, combined with Llama-3 or Mixtral fine-tuned on your domain, covers 85%+ of use cases with competitive quality. Gaps are narrowing monthly.
What about the CLOUD Act if I use Bedrock EU?
Bedrock EU reduces but does not eliminate CLOUD Act exposure because AWS is a US-owned entity. For zero-exposure needs (defence, some public sector) the answer is OVHcloud, Scaleway, or on-prem: all EU-headquartered, EU-owned.
Will this be slower than OpenAI/Anthropic APIs?
For self-hosted Llama/Mixtral on Scaleway H100s: 50-200ms TTFT at similar token throughput. For Mistral hosted APIs: parity. For OVHcloud AI Endpoints: 100-300ms TTFT depending on model. Latency is rarely the bottleneck; auditability is.
Can you guarantee EU AI Act compliance?
No consultant can "guarantee" compliance with a law that's still rolling out. What I deliver is a defensible compliance posture: risk classification, documented controls, DPIA, monitoring, and audit trail. Sign-off rests with your DPO and legal team.
Do you work with our existing DPO and CISO?
Yes. The compliance artefacts are written specifically for them. I can also participate in cross-functional reviews and respond to their security/privacy questionnaires directly.
What happens if a model gets deprecated?
The architecture is model-agnostic. Swapping Mistral-Large for Mixtral or Llama-4 typically takes 1-3 days of work plus an eval re-run. Observability and cost models follow the change automatically.
Quick estimator
What might your engagement cost?
Indicative ranges based on a €700/day base rate. Final pricing depends on scope, compliance depth, and timeline, confirmed in the Project Proposal after a discovery call.
Partnership deals (reduced cash + equity) can cut the cash component by 30-40% for aligned early-stage startups. A service fee is always required.
Estimated range
€2,800 – €3,500per month
4-5 × €700/day
Active technical leadership: weekly engineering sync, architecture reviews, vendor decisions, investor calls.
All prices exclude VAT.
Let's discuss your project
Book a free 30-min discovery call. No payment, no deck, no follow-up sequence. If AI isn't the right answer for your problem, you'll know inside the call.