HealthTech.
Quieter clinicians, better care.
We build clinical-grade AI with the boring stuff sorted — validation, audit trails, MDR. So clinicians can spend more time looking at patients and less at screens.
AI diagnostics, risk scoring and workflow automation for hospitals, clinics and digital-health builders.
What gets in the way
Clinician burnout
Doctors spend 2 hours on documentation for every hour with patients. Burnout is a clinical-quality issue.
Risk hiding in plain sight
Deteriorating patients are visible in the data — just not until the nurse walks in.
Compliance gravity
MDR, HIPAA, GDPR, audit trails. Most teams ship the model and then panic about the rest.
Where AI moves the needle
AI diagnostics
Spot tiny anomalies in X-rays, MRIs and CT scans — surfaced as a second reader, not a replacement.
Risk scoring
Flag patients likely to deteriorate so teams can intervene early, not after the rapid response call.
Virtual care assistants
Automate appointment reminders, symptom triage and follow-ups, in the patient's language.
Ambient scribing
Speech-to-structured-note that drops into the EHR. Edits in seconds, not hours.
Workflow automation
Speed up billing, records-management and insurance claims — auditably.
How we delivered
Ambient scribe that gave clinicians back 90 minutes a day
We built a speech-to-FHIR scribe that runs on shared room mics, with a clinician-in-the-loop edit step. Pilot across 14 GPs showed 92% acceptance with minimal edits; documentation time fell 63%.
How we work
Discovery
4–6 hour workshop. Goals, customer segments, JTBD, user flows, AI proposal, 6-month roadmap.
Architecture
Data audit, model selection, integration plan, evaluation harness, governance.
Build
2-week iterations. Demo Fridays. Built-in observability from day one.
Scale
Production rollout, change management, continuous fine-tuning and cost monitoring.
Ready to put this on the roadmap?
We run a focused discovery in 2 weeks. You leave with a working prototype and a defensible ROI case.