We build and integrate software for clinics, providers and health-tech — automating admin, connecting systems and applying AI carefully, with patient data protection and GDPR at the centre of every decision.
Healthcare teams carry heavy admin and zero tolerance for data risk — a hard combination for generic software.
Clinical staff spending hours on scheduling, notes and paperwork instead of patient care.
Patient management, scheduling, billing and records that don't talk, forcing duplicate data entry.
Sensitive personal data under GDPR and clinical governance, where a breach is catastrophic.
Real interest in AI efficiency, but justified fear of inaccuracy and data exposure.
We focus on reducing admin and connecting systems without ever compromising on data protection.
Take repetitive scheduling, intake and reporting work off clinical staff.
Unify patient management, records, billing and communications into one connected flow.
AI that drafts and surfaces information from approved sources — with humans in control.
Privacy-first systems grounded in real clinical and operational needs.
Scheduling, reminders and intake systems that cut no-shows and free up staff time.
Connecting fragmented record, billing and communication systems into one secure flow.
RAG assistants over approved clinical guidance, with self-hosted models where data sensitivity demands it.
Clear visibility into capacity, throughput and outcomes for managers and clinicians.
Privacy and accuracy aren't features we add — they shape the architecture from the first decision.
Privacy by design. Data minimisation, access controls and audit trails built in from the architecture stage.
EU data residency. We can keep regulated data in EU regions and deploy self-hosted models when needed.
Human-in-the-loop AI. AI drafts and surfaces — clinicians decide. We design for oversight, not automation of judgement.
Integration-first. We connect the systems you already rely on rather than forcing disruptive replacements.
It can be, when designed correctly. We use approved data sources, EU-region or self-hosted models, strict access controls and human-in-the-loop review so AI assists without exposing or deciding on sensitive data.
In most cases yes — we integrate through APIs or secure data exchange. Where systems are closed, we build careful middleware rather than risky workarounds.
We design to GDPR Articles 5, 25 and 32 — data minimisation, privacy by design and security of processing — and document handling for governance review.
Tell us where your team loses time. We'll show what's safe to automate — and how we'd protect every record.