Industry
Sovereign AI for healthcare
AI over clinical and patient data that never leaves your environment, GDPR-aligned and owned.
By James Drayson
In short
Sovereign AI for healthcare is a model that a healthcare organisation owns and runs inside its own perimeter, trained on its clinical literature and institutional knowledge, so patient data never leaves the environment. It meets the residency and governance demands of medicine that general-purpose APIs cannot.
The patient-data problem
Patient data is among the most sensitive and tightly regulated data there is. Sending it to a general AI API means processing special-category personal data on third-party infrastructure, frequently across borders, which collides with GDPR and clinical-governance obligations.
Why public APIs fail here
- Cross-border transfer: Patient data sent to an external model can leave the jurisdiction it must stay in.
- Governance gaps: Opaque hosted models are hard to evidence for clinical and information governance.
- No ownership: You can't fully control or audit a model you don't hold.
What owned AI enables in healthcare
- Data stays in: Inference runs inside the trust or organisation, on-prem or air-gapped.
- GDPR-aligned: Keeping processing onshore and auditable supports UK GDPR compliance.
- Domain-trained: A model post-trained on your clinical and research knowledge reasons in your context.
What this looks like with Locai
In a regulated sector the hard part is rarely the technology; it is procurement, deployment and accountability. A single owned machine simplifies all three.
Locai Labs builds Locai One, an on-prem AI appliance. It is one machine that arrives with everything already in it: the hardware, our open-weight Locai Juno models, and Locai OS, the operating system that serves the models and handles users, access and monitoring. You plug it into a mains socket and your network, and your team is working in about 15 minutes. No cloud account, no per-token bill, and nothing leaving the building.
The reason a data-centre-class model fits in a box on your floor is SPACE, our compression algorithm. Instead of asking how much of a model can be cut while keeping it broadly similar, SPACE asks what the model needs to be good at, preserves the subnetworks behind those capabilities and strips back the rest. The result is a smaller specialist rather than a shrunken generalist, tuned to the exact hardware it ships on.
Locai One starts at £29,950 for a team, and Locai One Pro at £49,950 for an organisation, bought once and owned outright. Both run air-cooled on standard mains power and work fully air-gapped. Any compatible open-weight model runs alongside Juno, and if you need a model trained on your own proprietary data we can post-train one and deploy it on the same machine.
Frequently asked questions
Is healthcare AI GDPR-compliant?
It can be when patient data stays inside your perimeter and the processing is auditable. A sovereign, in-perimeter model is the most direct route; see our AI and GDPR guide.
Where does patient data go?
With sovereign AI, nowhere external, every inference runs inside your environment. With a public API, data is sent to the provider's servers.
Can it run inside an NHS trust?
Yes. A sovereign model can be deployed on-prem or air-gapped inside the trust's own infrastructure, with the weights owned by the organisation.
Is it clinically safe?
Ownership and auditability support clinical governance, and the model can be evaluated against your own standards before and during use.
Book a sovereign AI briefing
A 30-minute session on owning your model: deployment options, the data path, and a clear cost range for your use case.