Measure & assess wounds with clinical-grade AI.
Wound AI is an enterprise-grade platform that lets your clinical staff capture, stage, and document wounds in under a minute - then pushes assessments directly to Epic. Compliant. Canadian-hosted. Ready to pilot in 30 days.
Purpose-built for the
facilities you operate.
Whether you run a single retirement home or a multi-site hospital network, Wound AI fits into the way your clinical teams already work.
Hospitals
Reduce nurse documentation burden, accelerate wound rounds, and push assessments directly into Epic flowsheets.
- Epic flowsheet sync
- MolecuLight + iPad capture
- Multi-site rollout playbook
Long-Term Care
Catch deteriorating wounds earlier, standardize Braden risk scoring, and reduce preventable hospital transfers.
- Pressure injury early warning
- Family-friendly progress reports
- PSW + RPN workflows
Retirement Homes
Give your wound care nurses an AI second-opinion at the bedside - and a clean audit trail for every assessment.
- Offline-tolerant mobile app
- Caregiver hand-off summaries
- Per-resident wound history
Home Care Agencies
Equip travelling foot care and wound care nurses with on-device AI - no clipboards, no after-shift charting.
- Mobile-first capture
- Voice-to-text documentation
- Auto-routed clinician alerts
Built with clinicians,
for clinical operations.
Wound AI was co-developed with front-line wound care nurses, foot care specialists, and LTC clinicians - so it fits the way your staff already document, not the other way around.
- 6+ years of hands-on clinical practice informs every workflow step, risk threshold, and alert rule.
- 8,000+ wound images from active Canadian facilities - ethically consented, never scraped from the internet.
- Every clinical model is reviewed by certified wound specialists before release - no opaque "AI says so" decisions.
- No vendor lock-in - open API, exportable data, and a clear off-boarding path if you ever need it.
Clinical-grade AI,
audit-ready by design.
Two medical-grade models do the heavy lifting - so your CMIO, CISO, and clinical informatics team get something they can actually defend in a procurement review.
MedSAM-2
Medical-grade segmentation isolates wound boundaries with sub-pixel precision - giving your team trustworthy area, depth-proxy, and tissue-type measurements every time.
DINOv3
The latest self-supervised vision backbone, fine-tuned on 8,000+ clinical wound images. Outperforms generic image models on real-world LTC, hospital, and home-care scenarios.
A five-step workflow your
nurses will actually use.
From capture to flowsheet sync in under 60 seconds - replacing 15+ minutes of manual charting and double-entry per assessment.
Capture
Capture or import wound images - including direct MolecuLight integration via Epic EMR.
Analyze
Instant AI-powered analysis for wound stage, tissue type, size, and patient risk.
Document
Hands-free voice-to-text documentation - no typing at the bedside, no clipboards.
Sync
Push completed assessments directly into Epic flowsheets - zero double-entry.
Alert
Real-time alerts for high-risk patients needing immediate clinical attention.
Operational impact
your CFO can defend.
94% classification accuracy is just the start. What healthcare operators actually see in the first 90 days of a pilot:
Procurement-ready. Audit-ready.
Wound AI is built to clear hospital and LTC security reviews on the first pass. Canadian-hosted infrastructure, PHIPA + PIPEDA aligned, full audit logging, and a security & compliance pack your IT team can share with leadership in one document.
Canadian Cloud
Hosted entirely on Canadian infrastructure - patient data stays sovereign.
PHIPA + PIPEDA
Fully compliant with Canadian healthcare and privacy law.
Self-hosted
All models run on our own secured servers - no opaque vendors.
No 3rd-party APIs
Zero reliance on external AI services. Your data goes nowhere else.
Live in your stack
in under a day.
Three deployment paths so you can start small and scale. Pick the one that fits your IT roadmap - we'll handle the rest.
Direct API integration
RESTful endpoints for classification, staging, segmentation, and risk scoring - auth, rate limits, and SLA spelled out in the contract.
Drop-in clinical widget
The full Wound AI capture & assessment workflow inside your existing clinician portal. No SSO surprises.
Epic & major EMRs
Direct flowsheet writes to Epic, Cerner, and PointClickCare. Zero double-entry for nursing staff.
{
"image": "<base64>",
"patient_id": "P-48201",
"site": "left_heel"
}
// Response
→ stage: "Stage 3"
→ tissue: "slough + granulation"
→ size: "4.2 × 3.1 cm"
→ risk: "HIGH"
Pilot in 30 days.
Scale on your timeline.
Most facilities go from kickoff to a live pilot in under 30 days. Tell us about your organization and we'll send back a tailored proposal, security pack, and pilot plan.
