AI in healthcare, built for clinicians and patients
Healthcare AI succeeds when it fits a clinical workflow and earns trust. We build AI into healthcare products and operations with privacy, accuracy and human oversight designed in from the first sprint — not bolted on before an audit.
What we deliver
Clinical documentation AI
Summaries, coding suggestions and structured extraction from notes, letters and reports, reviewed by a clinician before anything is filed.
Triage & decision support
Risk scores and prioritisation that explain their reasoning, so care teams can see why a case was flagged.
Remote patient monitoring
Apps and platforms that connect devices and wearables, detect meaningful changes and alert the right person.
Patient-facing apps
Mobile and web apps for engagement, coaching and follow-up, with AI that personalises without overstepping.
Medical knowledge assistants
RAG assistants over guidelines, protocols and formularies, citing the source for every answer.
Compliance by design
Data minimisation, encryption, audit trails and in-region hosting, aligned with GDPR, HIPAA and the EU AI Act.
Typical use cases
- Discharge letter and referral summarisation
- Symptom intake and appointment routing
- Wearable data analysis for chronic care and fitness
- Care-home and senior-care matching platforms
- Operational forecasting for beds, staff and supplies
Technology we use
Python
FastAPI
OpenAI
React Native
NestJS
PostgreSQL
How we work
- 01
Discover
We learn the business, the users and the constraints, and agree what success looks like.
- 02
Prove
We test the riskiest assumption first — a prototype or AI proof of concept — before scaling the team.
- 03
Build
Short iterations, working software every two weeks and demos you can click through.
- 04
Run
Launch, monitoring and continued development — or a clean handover to your team.
Related work
Ealthiness
Health & fitness app
A mobile fitness companion — guided exercises, live run tracking, mood graphs, and daily activity insights that keep users moving and coaches connected.
A Place For Mom
Healthcare platform
A leading US senior-care platform serving 300k+ customers — connecting families with assisted living and memory-care providers across the country.
Frequently asked questions
Is your healthcare AI HIPAA and GDPR compliant?
We design systems to meet HIPAA and GDPR requirements — data minimisation, encryption, access control, audit logging and data processing agreements — and work with your compliance team on certification where it applies.
Do you build software as a medical device?
We build decision-support and workflow tools and can work within a regulated SaMD process alongside your quality and regulatory team. We are clear early about which side of that line a feature sits.
Where is patient data hosted?
In the region you require — for example EU data centres for German and Swiss providers, or Gulf regions for Qatar — and models can be self-hosted so data never leaves your environment.
Which healthcare products have you worked on?
Our healthcare and wellbeing work includes the Ealthiness fitness and health app and engineering for A Place For Mom, a senior-care platform in the United States.
Further reading
How to Implement AI in Healthcare Safely
AI in healthcare succeeds on trust, not model size. A practical approach to choosing use cases, protecting data, validating output and fitting AI into clinical workflows.
5 min read
Building HIPAA- and GDPR-Compliant AI for Healthcare
Compliance is a design input, not a final review. The architectural decisions that make healthcare AI defensible under HIPAA, GDPR and the EU AI Act.
5 min read
Ealthiness: Building a Health and Fitness App in React Native
Guided workouts, live run tracking, mood graphs and coaches in one mobile app. A look at how Ealthiness is built and what fitness apps get wrong.
5 min read
Let's talk about your project
Send us a short description and we will come back with questions, a rough plan and a team.
Email us