Ophthalmology AI

Award Winning algorithms that identify AMD, Glaucoma and Diabetic Retinopathy from fundus images


About 80% of blindness is preventable. Diabetic retinopathy and glaucoma are the leading and second leading cause of blindness worldwide. In the US alone, 7.7 million people are affected by Diabetic Retinopathy, 2.7 million by Glaucoma, and 2 million by Age Related Macular Degeneration.

Standard screening at ophthalmologist clinics or hospitals is not always a viable option.

There is an acute shortage of trained doctors with less than 1000 retinal specialists available in the US.

There are ongoing travel restrictions and associated fear of visiting hospitals or clinics.


ZASTI has partnered with Forus Health to deliver an AI based ophthalmic ecosystem that is telemedicine enabled. ZASTI AI uses proprietary deep learning algorithms on Fundus and OCT images to identify early signs of ophthalmic anomalies that could cause permanent blindness. Our innovative application provides insights through detailed reports from tele-ophthalmologists & retinal experts to help patients gain timely access to care.




The 3nethra classic is a compact, portable, and easy-to-use non-mydriatic digital imaging device. It is designed to acquire, display, store, and transmit images of the posterior and anterior surfaces of the human eye.



The 3nethra neo is a compact, portable, and easy-to-use mydriatic wide-field digital imaging camera used for the photo documentation of ocular diseases that manifest in human eyes.