AI Sovereignty
Two things drive organisations to think seriously about sovereignty: the data they are handling, and the business processes they are depending on. We help you stay in control of both.
Two separate problems, one shared answer
Data protection
Your data belongs in your systems
Every prompt sent to a cloud AI provider is data leaving your systems. For most organisations that is an acceptable trade-off. For organisations handling sensitive personal data, regulated information, or business-critical IP, it is not.
GDPR, the EU AI Act, and sector-specific regulation are all tightening. We help you build AI infrastructure that is compliant by design — not by policy documents and crossed fingers.
Operational independence
Your service should not depend on a vendor's politics
If you adjust critical business processes to depend on an AI system, that system's availability becomes a business risk. A cloud provider based overseas can change pricing, restrict European access, or exit a market for reasons that have nothing to do with you.
Sovereignty means your AI keeps running regardless of what happens to the vendor.
On-prem, EU-based, or hybrid — your infrastructure, your rules
Many of the models powering our own agent development run locally on powerful in-house hardware. We have direct, practical experience with running capable AI without sending data outside your network.
We help clients set up their own infrastructure: on-premises servers, EU-based datacentres on hardware they fully control, or private cloud configurations that stay inside their internal network. For organisations that still want cloud providers for lower-sensitivity workloads, we design hybrid setups — local models as the primary system or fallback, cloud where the risk profile allows it.
We also bring deep experience with open-source tools that run entirely locally and deliver real business value: Open Web UI, Vexa, and similar services that keep your organisation's data where it belongs.
A conversation, not a product
Sovereignty is not a feature you bolt on at the end — it is a property of how you build. We have the sovereignty conversation early in any development engagement, so the architecture reflects the requirement from the start.
If you want us to design and run your sovereign AI infrastructure as a managed setup, that is a separate, dedicated engagement. We scope it together based on your data classification, your compliance requirements, and the specific models and tools that fit your workloads.