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Our model uses ambient monitoring via built-in cameras, motion sensors and virtual assistants on people’s personal devices. We train it to detect stroke symptoms and alert users and relatives to call EMS immediately.
We partner with a team of dedicated clinicians to correlate our AI’s output with clinical data. A diagnostic test evaluation calculator matches our model’s results with actual patients’ clinical exams and brain imaging data. Then we analyze and optimize the algorithm to achieve close to 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 arrive too late to to receive brain-saving treatment. We are on a mission to change that. Our goal is very simple. We want to detect stroke at the very onset and bring the patient to the specialist as early as possible.
If you are an investor, medical professional, software engineer, or anyone who can relate to our life-saving endeavor, reach out and join our efforts.
