Our model leverages ambient monitoring via built-in cameras, motion sensors, and virtual assistants on personal devices. It is trained to detect stroke symptoms and promptly alerts users and their relatives to contact EMS immediately.
Our primary goal is to develop smart, accurate, and timely technology for stroke detection. Our objective is to minimize the time between stroke onset and medical intervention.
We collaborate closely with a dedicated team of clinicians to synchronize our AI’s findings with clinical data. By comparing our model’s results with bedside clinical exams and brain imaging data from actual patients, we refine and optimize the algorithm, striving to achieve nearly 100% accuracy in detecting acute stroke symptoms.
Sensitivity
Increase of patients eligible for brain-saving interventions
Revenue for hospitals from reimbursements*
Savings from improved outcome for patients*
Revenue from clot-busting medications and procedures*
*per year in the US only
Most stroke patients often reach treatment too late to benefit from life-saving measures. Our mission is to change this. Our goal is simple: detect strokes at their onset and quickly transport patients to specialists.
If you are an investor, medical professional, software engineer, or anyone passionate about advancing brain and life-saving efforts, we invite you to join us in our mission.