
Ai-Ris develops an automated retinal imaging system combining a portable headset and machine learning software to screen for multiple diseases including diabetic retinopathy, age-related macular degeneration (AMD), and Alzheimer's disease. Their technology enables general medical practitioners, including primary care providers and optometrists, to perform retinal screenings without specialists or pupil dilation. The system features automatic screening with minimal oversight, a non-mydriatic optical approach, and portability. Ai-Ris has secured over $400K in non-dilutive funding, amassed over 200K labeled retinal images for AI training, and holds a U.S. utility patent for their unique imaging technique. They are conducting clinical studies and aim to release a fully integrated hardware-software system by 2025, targeting affordable subscription pricing to expand access to eye care, especially in underserved communities.

Ai-Ris develops an automated retinal imaging system combining a portable headset and machine learning software to screen for multiple diseases including diabetic retinopathy, age-related macular degeneration (AMD), and Alzheimer's disease. Their technology enables general medical practitioners, including primary care providers and optometrists, to perform retinal screenings without specialists or pupil dilation. The system features automatic screening with minimal oversight, a non-mydriatic optical approach, and portability. Ai-Ris has secured over $400K in non-dilutive funding, amassed over 200K labeled retinal images for AI training, and holds a U.S. utility patent for their unique imaging technique. They are conducting clinical studies and aim to release a fully integrated hardware-software system by 2025, targeting affordable subscription pricing to expand access to eye care, especially in underserved communities.
Product: Portable retinal imaging headset + ML software for automated retinal screening
Use case: Point-of-care screening for diabetic retinopathy, AMD, and Alzheimer's-related retinal signals
Location: College Station, Texas, United States
Funding (reported): At least $260K in non-dilutive funding, including an NSF grant
Team size: Approximately 6 employees
Automated retinal screening and point-of-care ocular diagnostics to detect vision- and neurologic-related conditions earlier in non-specialist settings.
Medical devices; Healthtech
$260,000.00
Reported NSF grant; company also reports over $400K in non-dilutive funding across sources on company materials.
“National Science Foundation”