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The uniqueness of Ophtha lies in its non-invasiveness, affordability, high content of information, five stage disease severity classification based on ETDRS grading & pathological feature segmentation techniques.Ophtha AES web application software allows uploading the fundus images (two images per eye) for the public directly and obtaining a system generated report on the analysis.

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Tell us what do you know about Automatic Eye Screening technology for Diabetic Retinopathy.

Ophtha AES

AI Eye Screening System

As your Eyes be the windows to the world, AI based solutions are being designed, developed and trained to diagnose retinal associated diseases and disorders to treat populace for an affordable cost yet with accurate results. Thus, OPHTHA AES is capable of detecting conditions (automatically segmenting of pathological features) related to DR and detecting the existence of DR and pathological features (exudates, hemorrhages, microaneurysms, neovascularization) based on which the classification is done.

Why Choose Ophtha AES?

AES Feature Diagram

Ophtha AES Features


From retinal image screening to grading for DR standards to reporting and flagging, our system operates as a fully autonomous solution.


Our solution offers you with results of high performance figures including 87.7% validation accuracy and 81.1% test accuracy.


Your data is secured and confidential with us as Ophtha AES uses novel and effective encryption and decryption technologies end-to-end, with highest level of compliance.

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Case Studies

Read success stories of customers who used our products and solutions to achieve their business goals.

Developing an Automatic Eye Screening (AES) Application to Screen and Identify Diabetic Retinopathy

According to WHO, Diabetic Retinopathy (DR) is the major cause of blindness among adult populations in the world which occurs as a complication of Diabetics. To overcome this global problem we have introduced an automatic DR screening application as a cost effective and high accuracy solution.

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Achieving SDGs with Ophtha AES

Achieving SDGs with Ophtha AES

Vision makes an important contribution to the 2030 Agenda for Sustainable Development and cuts across many of the Sustainable Development Goals; from poverty reduction to economic growth and employment to education, gender and reducing inequalities.

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Our Team

Akira Ikeda - COO
Keerthi Kodithuwakku - CEO
Shashika Chamod - CTO

Our Mission

To realize a day where each and everyone on the planet can afford and access modern technological products to lead a healthier life

Our Vision

To innovate AI-driven predictive and preventive solutions with the right fusion of advanced diagnostics to save and improve more human lives

OPHTHA AES (Automatic Eye Screening) is an application for screening and identifying diabetic retinopathy (current) and glaucoma.

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