Nexaneura Technologies Private Limited

In their own words

Every year, millions of people go blind from cataract, a condition that a 15-minute surgery can fix. The cruel part is that most of these people were already diagnosed. They walked into a screening camp, someone told them they need surgery, and they went home and never came back. In India, that number is somewhere between 60 and 85 percent of diagnosed patients. The same pattern plays out across Africa and Southeast Asia.There are two broken pieces in this system. (1) The first is that screening itself is still heavily dependent on trained ophthalmologists being physically present, which doesn't scale in rural areas where there simply aren't enough eye doctors. (2) The second, and bigger problem, is that even when patients are screened and diagnosed, nobody follows up. Hospitals screen thousands of people, hand them a slip of paper, and move on. Patients get scared, can't afford the bus, hear a rumour that surgery causes harm, or just forget. Nobody calls them back.CataractAI fixes both pieces.On the detection side, we built an AI system that can analyse fundus and anterior segment images to identify cataract and grade its severity, so that a technician or a health worker at a rural camp can run a reliable screening without needing a specialist on site. This means more patients get accurately diagnosed in places where ophthalmologists will never go.But here's where we're different from every other AI screening company. We don't stop at detection. That's where everyone else stops, and that's exactly why patients keep going blind. We built the entire layer after detection, the part that actually gets patients into surgery. Our platform figures out which diagnosed patients are most likely to drop off and why, then reaches out to them in their own language through phone calls and WhatsApp to address whatever is stopping them. If it's fear, the system counsels them. If it's transport, it helps coordinate logistics. If a family member is blocking the decision, it handles that conversation. When the AI can't resolve it, a human steps in.So the full picture is this, CataractAI screens the patient, confirms the diagnosis, predicts the risk of that patient disappearing, and then actively works to make sure they don't. End to end. From image to operating table.We are live across 4 centres at Riti Eye Care Hospital in Andhra Pradesh, running on real patients. We're in active conversations with Dr. Agarwal's Eye Hospital (one of India's largest chains with over 100 centres), Annai Eye Clinic in Chennai, and Ayush Netradhama in Karnataka; a deliberate mix of large chains, urban clinics, and regional hospitals.The business model is straightforward. We run the entire workflow for hospitals that don't have the bandwidth to do it themselves. Every surgery we help convert brings the hospital 15,000 to 30,000 rupees in revenue. What we charge is a small fraction of that.India does over 6 million cataract surgeries a year, the largest market in the world for this. Once we nail it here, the same playbook works across Africa, Southeast Asia, and Latin America where the exact same problem exists.

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