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AEYE Health

AEYE Health

Tel Aviv, United States· Est.
aeyehealth.com
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Private Company

Total funding raised: $16M

Overview

AEYE Health is a US-Israeli company, founded in 2018, that has commercialized an FDA-cleared, autonomous AI diagnostic system for diabetic retinopathy screening. Its solution enables rapid, on-the-spot screening in primary care settings using portable or desktop cameras, addressing the significant care gap in annual diabetic eye exams. The company is leveraging its core AI technology to build a comprehensive screening platform for multiple diseases, positioning itself at the intersection of ophthalmology, primary care, and predictive health analytics.

OphthalmologyDiabetesCardiovascular DiseasesNeurology

Technology Platform

Fully autonomous AI platform for analyzing retinal fundus images to diagnose and predict ocular and systemic diseases.

Funding History

2
Total raised:$16M
Series A$12M
Seed$4M

Opportunities

The immediate opportunity lies in capturing the vast diabetic retinopathy screening gap in the US primary care market, driven by quality incentives and reimbursement.
The long-term, transformative opportunity is leveraging the retina as a window to overall health, creating a platform for low-cost, scalable screening and prediction of numerous systemic chronic diseases.

Risk Factors

Key risks include slower-than-expected adoption in primary care settings, failure to clinically validate the broader AEYE-X platform for systemic diseases, and intense competition in the rapidly evolving retinal AI diagnostics space.
Navigating evolving regulatory pathways for AI-based software as a medical device also presents an ongoing challenge.

Competitive Landscape

AEYE Health operates in the competitive retinal AI diagnostics market, competing with companies like IDx-DR (now part of Digital Diagnostics), Eyenuk, and others focused on DR. Its expansion into multi-disease detection places it against broader AI imaging platforms. Key differentiators include its high imageability rate with portable cameras and its focus on a fully autonomous, point-of-care workflow for primary care.

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