Private AI for UK Healthcare

GreenM builds private AI for UK private clinics, healthcare groups and NHS-adjacent providers, with every deployment running inside the client's own infrastructure. We have worked in healthcare since 2014, and in the UK with clinics and groups including Medefer, ROC Private Clinic and Rejuvence Clinic. The work covers clinical documentation, referral triage, reporting, and unified clinical and operational data with governance reporting, built to align with the NHS Data Security and Protection Toolkit (DSPT) and UK GDPR.

Yes. GreenM's AI is built to align with the NHS Data Security and Protection Toolkit (DSPT), UK GDPR and the Data Protection Act 2018. Everything runs inside your own environment with encryption, role-based access controls and audit logging, so no patient data leaves your network and no shared models are used. Clinical safety and information governance are designed in from the start, not reviewed at the end.

Yes. GreenM helps UK providers stay inspection-ready by turning operational events into a continuous, structured evidence trail mapped to the Care Quality Commission (CQC) framework. As the CQC Single Assessment Framework (SAF) moves to four sector-specific frameworks by the end of 2026, we build the data infrastructure that captures incident, action and outcome records on an ongoing basis, rather than assembling evidence at inspection time. GreenM provides the evidence infrastructure; we do not certify or guarantee a CQC rating. Always verify specifics against the official CQC framework.

Private AI runs inside your own infrastructure, so patient data never leaves your network. GreenM deploys in your private cloud (such as Microsoft Azure UK or AWS London regions) or on-premises, and connects to the clinical and operational systems you already run through secure APIs. The model sits inside your compliance boundary; the integration layer links it to your records, scheduling and reporting. The model is the easy part. The integration layer is where most of the work sits.

GreenM works with UK healthcare providers across the sector, both those regulated by the Care Quality Commission (CQC) and those outside its scope. That includes private and specialty clinics, multi-site clinic and healthcare groups, GP practices and Primary Care Networks (PCNs), dental practices, community health services, adult social care providers (care homes, supported living, domiciliary care), mental health services, NHS trusts, independent and specialist hospitals, hospices, ambulance and urgent care services, occupational health and employee wellbeing providers, and digital health and healthtech companies. From a single-site practice to a multi-site group, the deployment scales to the size of the organisation.

Most UK clinics see a working, production-shaped prototype in about six weeks through the AI Launchpad. This is a real deliverable running inside your environment, not a throwaway pilot. Standing up the underlying Private AI Foundation typically takes a further four to eight weeks, depending on the systems involved and your information-governance review.

Production deployment is priced on a contact-us basis, because cost depends on the number of workflows, the systems to integrate, and whether you deploy in private cloud or on-premises. GreenM typically starts with a fixed-price AI Launchpad to prove one workflow, which keeps the first commitment small and tied to a specific outcome.