Contact Ankur Gupta
Title CEO
Email ops@getspect.com
Phone (214) 206-7913


Summary: 30 million people have diabetes in the US, with 400 million cases worldwide. 40-45% will contract diabetic retinopathy, an asymptomatic disease that causes rapid vision loss, but is treatable if detected early. Less than 40% of diabetics actually receive their mandatory annual eye screening due to cost, inefficiency, and lack of specialist availability. With our EyeLogic platform, diabetics can receive instant vision screening at the point of care for no additional cost. Each exam is also reimbursed by health insurance, driving additional revenue to primary care doctors and additional patients to eye doctors. Our EyeLogic platform provides 15-second diabetic vision screening through our low-cost smartphone camera and AI-based cloud analytics engine. General physicians receive instant reports after each diabetic exam, and gain upwards of $100 of additional revenue per exam through reimbursement.
Need: Every diabetic is recommended to have an eye exam performed yearly to detect diabetic changes early. If eye disease can be detected early, 98% of vision loss can be prevented. Unfortunately, only 30% of diabetics actually get to an eye doctor for an annual exam due to lack of access, cost, and other factors. EyeLogic solves this problem by bringing the eye exam to the primary care doctor’s office, where diabetic patients are going 2-4x per year. Our goal is to have a 100% eye exam rate for diabetic patients and maximal prevention of vision loss through timely referral of diseased eyes to eye doctors for early treatment.
Value: There is an un-met need for devices that allow physicians to better detect and manage complex eye diseases. Presently, a reliable vision screening examination requires the specialized tools and training provided by an ophthalmologist, costing patients and the healthcare system precious time and money. Our product is a comprehensive screening platform for primary care doctors to detect and manage a variety of eye diseases. It combines proprietary hardware with a machine-learning algorithm to capture high-quality images of the retina using a mobile phone attachment coupled with instant analysis and diagnostic capabilities. The ability to leverage this previously inaccessible data longitudinally for population health is unprecedented.