Precision-driven graft technology that combines physical wound mapping, digital measurement, and AI analysis to reduce waste.
True-Graft is a FDA-registered skin substitute digital imaging app designed to help clinicians choose the right graft size with confidence—reducing waste while supporting faster, more effective healing. Offered as a free app for wound clinicians, True-Graft enables hassle-free decision-making when selecting advanced modalities, helping providers focus on what matters most: optimal patient outcomes.
Built for continuous clinical improvement, True-Graft supports wound care across all settings—including HOPD, SNF, mobile care, assisted living, private offices, and hospitals—and operates without the need for Wi-Fi or internet connectivity. The platform also includes a patent-pending system that documents graft sizing decisions and material utilization, helping clinicians remain audit-ready as regulatory scrutiny continues to evolve.
At the foundation of True-Graft is the TRUE-See Calibration Slate, enabling:
This ensures wound images remain accurate, comparable, and clinically reliable—whether captured in a clinic, at the bedside, or in the field.
True-Graft’s proprietary software:
The result is objective, surface-area-based measurement that more accurately reflects real-world wound geometry.
The True-Graft mobile app:
All through a simple, tap-based workflow designed for real clinical environments—supporting better decisions, less waste, and improved readiness for future audits.

Digital measurement technology enables precise wound assessment through anchor-based placement, allowing clinicians to define wound boundaries with accuracy and consistency. By overlaying a prior calibrated image, the system establishes a standardized measurement protocol across visits, supporting reliable comparisons over time. Pairing this approach with the patent-pending drape method enables measurement of the true 3D wound bed surface area—providing a defensible wound measurement technology designed for consistent, clinically reliable assessment.
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