EyeneraAI — Point-of-Care Screening

A new era of eyecare
with the power of AI

EyeneraAI develops AI-powered diagnostic tools that help clinicians detect retinal conditions earlier, faster, and with greater confidence — right at the point of care.

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The Problem

Retinal disease is the leading cause of blindness for 2.2 billion people

Patients are routinely referred to ophthalmologists too late in the game. Critical pathologies are missed, diagnoses are delayed, and the consequences — permanent blindness, expensive invasive procedures, poor outcomes — are often irreversible.

20%

Of US patients get the right diagnosis at the right time

50%

Of critical pathologies are missed at screening

80%

Of retinal screenings are paid out of pocket

$411B

Annual financial burden of retinal disease in the US

Our Technology

Built on clinically validated AI

Our deep learning models are trained on curated retinal imaging datasets and validated across diverse patient populations to support accurate, point-of-care screening.

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Deep Learning Architecture

Purpose-built neural networks trained on thousands of annotated retinal images and optimized for clinically meaningful image analysis.

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Clinical Validation

Rigorously validated against expert ophthalmologist diagnoses, with performance metrics that meet the bar for clinical deployment.

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Real-Time Analysis

Results delivered in seconds — enabling point-of-care screening workflows that support faster clinical decision-making.

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Seamless Integration

Designed to fit into clinical workflows with minimal disruption and clear, easy-to-review outputs.

Our Team

Built by experts in AI and ophthalmology

Leadership

Dr. Rakhi Garg

CEO

Physician/MBA with 20+ years in Healthcare/MedTech. Background includes GE Healthcare, Becton Dickinson, Philips Healthcare, VC, and startup experience.