Visilant provides an AI‑powered, smartphone‑based eye screening platform that captures clinical‑grade retinal images, automatically analyzes them for sight‑threatening diseases, and connects patients with eye specialists via telemedicine. By enabling screeners to conduct rapid, accurate diagnostics in low‑resource settings, the system expands access to eye care and helps prevent avoidable blindness for the 1.1 billion people at risk worldwide.
Funding
$25K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many people at risk of vision loss lack access to clinical-grade eye examinations because traditional screening requires expensive equipment and specialist operators, especially in low-resource settings. This results in preventable blindness due to delayed diagnosis of sight‑threatening diseases.
Solution
Visilant offers an AI‑powered eye screening platform that leverages a smartphone‑based imaging system to capture clinical‑grade retinal images by trained screeners in community settings. The captured images and accompanying clinical data are processed by proprietary AI models that automatically detect and triage sight‑threatening conditions. Patients who receive a positive diagnosis are connected through the platform’s telemedicine workflow to eye specialists for further evaluation and treatment, including surgery when needed. By combining low‑cost hardware, automated interpretation, and remote specialist referral, Visilant expands the reach of high‑quality eye care to underserved populations.
Target Audience
Primary users are community health workers, NGOs, and public‑health programs operating in low‑resource or remote areas that need scalable eye‑screening solutions, as well as eye care networks seeking to extend their reach through tele‑ophthalmology.
Features
- Smartphone attachment and imaging kit that produces clinical‑grade retinal photographs without the need for bulky ophthalmic equipment
- AI algorithms trained on large ophthalmic datasets to detect diseases such as cataract, glaucoma, diabetic retinopathy, and age‑related macular degeneration
- Automated referral generation that flags patients requiring specialist follow‑up based on AI‑derived risk scores
- Integrated telemedicine interface that schedules virtual consultations with eye doctors and facilitates care coordination
- Cloud‑based data management ensuring secure storage, encryption, and compliance with health‑information standards
- Real‑time reporting dashboard for screeners and health programs to monitor screening outcomes and referral rates