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AI Infrastructure

Private, sovereign AI compute. No black boxes.

Private, sovereign AI compute for regulated workloads: isolation, auditability and European governance. Where data, embeddings and inference actually end up.

Private AI

Where data, embeddings and inference end up.

For regulated AI workloads the question is not just "how fast is it", but "where does the data end up and who can access it". Here the answer is clear.

01

Private AI compute

Dedicated environments for training and inference, isolated from other tenants. Your models and your data stay yours.

02

Where the data ends up

Data, embeddings, prompts and inference stay within European jurisdiction. No opaque transfers to non-EU platforms.

03

Isolation & auditability

Workload segregation and verifiable logs: you can prove who accessed what and when.

04

Regulated workloads

Designed for fintech, healthcare, legal and public administration: AI environments where compliance is a design requirement, not an option.

Roadmap · Phase 2

GPU and high-density: when power and cooling allow.

Private GPU / AI compute is capex-intensive: we activate it after confirming electrical power, cooling, redundancy and the site's scaling capacity. No density or power in MW claimed before it is real and documentable. The software and models part is developed with Swiss Innovation Hub.

AI within the right jurisdiction.

Do you have AI workloads with sensitive data and compliance requirements? Book an AI Infrastructure Readiness Call: we assess isolation, auditability and data residency.