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In the U.S. alone, more than 1 million people are misdiagnosed with ADHD. On top of that, doctors and hospitals lose money from spending 10+ hours on diagnosis while making inaccurate diagnoses. Diagnoses are inaccurate because they are subjective, prone to inherent biases, and reliant on qualitative observations. Patients often suffer from misdiagnosis, academically, socially, and occupationally.

Our mission is to provide an accurate, reliable mechanism to diagnose ADHD. We've built an AI-based web software platform that helps clinicians and psychiatrists diagnose ADHD using eyes, specifically pupillometric and eye gaze. We're a research spin-off aiming to license our software at a reimbursed $150/test to small and medium-size private psychiatrists and practitioners. Our vision is to control the market for using eyes to diagnose multiple neurobehavioral disorders and make it possible for anyone through even a phone.

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