Healthcare
Clinical AI & Decision Support
AI deployed into clinical workflow with the guardrails it requires: deterministic rule engines, explainable outputs and a complete audit trail behind every suggestion.
Clinicians overrule the model, always
Every output is a suggestion attached to its reasoning, its input data and its model version. Overrides are recorded as first-class events. They are the most valuable signal you have.
Shadow mode before live mode
New models run alongside the existing workflow, producing outputs nobody acts on, until their performance on your own population is measured and accepted. Only then do they surface to clinicians.
Built for scrutiny
Inputs, outputs, thresholds and versions are logged immutably. When a decision is questioned months later, the record reconstructs exactly what the system saw and said.
What this includes
- Imaging AI integration into existing reporting workflows
- Rule-based decision support with versioned clinical logic
- Explainability surfaces, never an unexplained score
- Model monitoring, drift detection and shadow-mode rollout
- Complete audit trail of inputs, outputs and overrides
Related services
Clinic & Hospital Websites
A website for a practice or a hospital: who you are, what you treat, when you are open, and how to reach you, all of it on the phone a patient is actually holding.
Mobile Apps for iOS and Android
Patient and staff apps built once and published to both stores: appointments, reports, prescriptions and reminders, connected to the systems you already run.
WhatsApp for Clinics
Appointment reminders, report delivery and follow-ups over the official WhatsApp Business API, with the consent record that sending clinical information requires.
Tell us what you are building.
Describe the problem rather than the solution. We reply with a considered view of what to tackle first, and say plainly if we are not the right fit.