Wound triage in your pocket.
AI-powered diabetic wound analysis on iOS and Android. Capture an image, get an instant classification and severity score, track healing over time, and trigger red-flag alerts when the wound is worsening.
Built for the hard parts.
Native iOS + Android capture
Clinicians and community-care staff snap a photo on the device they already carry. No specialist hardware required.
Instant classification
Wagner / University of Texas grading, tissue composition, and exudate analysis in seconds — at the bedside or in the home.
Healing trajectory tracking
Sequential image analysis charts wound area, depth, and tissue change over time. Trends visible at a glance.
Red-flag alerts
Worsening, infection signs, or stalled healing trigger an alert to the responsible clinician — before the next scheduled visit.
EHR integration
Images, classifications, and trajectories flow into the patient record via EHR Bridge. No double-entry, no orphaned data.
HIPAA-ready
End-to-end encryption, on-device pre-processing, and configurable retention. BAA-ready for clinical deployment.
Plays nice with what you run.
Community diabetic care, podiatry clinics, and post-surgical follow-up. Anywhere a non-specialist needs to triage a wound and decide what happens next.
Images and assessments land directly in the patient record — no paper, no separate app to remember to update.
What it does, in numbers.
Production-grade, not a prototype.
- Built and run by Orynx engineers — not handed off to a vendor.
- Privacy-by-design: end-to-end encryption, HIPAA / SOC 2 / ISO 27001 alignment.
- Pairs with our dedicated engineering teams for integration, customisation, and support.
