Service · Data Infrastructure

AI infrastructure, sovereign by default.

We design and operate the foundation that lets institutions run generative AI on their own terms: private LLMs, retrieval pipelines and vector stores deployed on-premise or in EU cloud, where sensitive data never crosses your perimeter.

What we build and operate

Private LLM hosting

Open-weight and licensed models served on-premise or in a dedicated EU region. No training on your data, no egress, full audit logging of every inference call.

Retrieval pipelines

Governed ingestion, chunking, embedding and RAG orchestration that ground model output in your authoritative sources, with entitlements enforced end to end.

Vector databases

Selection and tuning of vector stores, hybrid search and reranking calibrated to your recall, latency and cost targets at institutional volume.

Sovereign hosting

Deployment topologies that keep regulated data inside your perimeter, aligned with GDPR, EU data-residency requirements and your internal data classification.

MLOps and scaling

Reproducible deployments, model and prompt versioning, evaluation harnesses and the path from a first use case to an institution-wide platform.

Observability and FinOps

Monitoring of answer quality, drift, latency and cost per query, so the platform stays measurable, predictable and defensible over time.

Get in touch

Let's talk about your project

Tell us where your data lives and which constraints are non-negotiable. We will design an AI infrastructure that respects your perimeter and scales with your ambition.