Patent Pending

IRly is an outpatient tool that enables the early detection of Surgical Site Infections and alerts patients monitoring wounds at home of possible infection in order to increase intervention options and improve clinical outcomes.

Our Competitive Edge

Early Detection

Our device algorithm is rooted in research, and uses generalized, common markers of infection as well as Machine Learning to predict the likelihood of infection at a wound site. The device will alert patients of a possible infection as soon as a marker reaches a critical threshold.

Device-UI Hybrid

IRly connects remotely to bluetooth compatible devices to provide a readout and health insights directly to the patient. Clinicians also receive access to these insights and can be notified of changes to wound status within the app.

Continuous Monitoring

The device leverages low-cost sensors and adheres to the periwound site throughout the entire healing process, all while collecting essential data at a high frequency to ensure a potential infection is caught as early as possible.

Point-of-Care

Current marketed infection detection technology is limited to in-clinic diagnostic methods. Not only are these limited to a hospital setting, but they are also costly, time consuming or non-specific to wound infection. IRly is portable, easy-to-use, and specialized.

Generalized Marker

Our device uses temperature collected from the wound site to determine whether or not a wound is potentially infected. Temperature changes are an excellent indicator, as they are amongst the earliest signs of infection, regardless of the pathogen.

Lightweight, Low Profile, Non-Invasive

IRly is virtually undetectable. It is made of highly flexible, biocompatible materials that contour to the wound, can easily sit under any bandages and clothes, and adapt to daily movements. The device does not touch the wound.

Our device adheres to the skin next to the incision (sample C-section), and monitors healing over the next several weeks following discharge.

Our simple app alerts patients and their physicians of possible infection.