The startup manufactures medical devices that utilize eye tracking and artificial intelligence to expedite the diagnostic process for glaucoma and neurodegenerative diseases. By reducing operational costs and testing times, the technology enables efficient first-line eye health screening for opticians and healthcare professionals.
Funding
$3.4M 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
Current screening methods for visual and neurodegenerative diseases are often time-consuming, invasive, or unreliable, placing a strain on healthcare systems and delaying early detection. This is especially problematic given the increasing prevalence of conditions like glaucoma, Parkinson’s, and multiple sclerosis in an aging population.
Solution
Reyedar offers a solution by combining eye-tracking technology and deep learning to collect biomarkers related to visual and neurological health. Their system uses AI-powered infrared eye-tracking glasses to measure eye movements in response to visual stimuli. The collected data is then analyzed using patented algorithms based on signal processing and deep neural networks, translating complex eye-tracking data into understandable clinical information. This approach enables fast, objective, and user-friendly screening for visual field sensitivity and qualitative risk indication for neurovisual disorders, providing a unique window into a patient's health. The functional vision test, called SONDA (Standardized Oculomotor Neuro-ophthalmic Disorders Assessment), is automatized, non-invasive, and can be completed in under 5 minutes.
Target Audience
Reyedar's primary customers include opticians, optometrists, hospitals, private clinics, and clinical research centers seeking efficient and reliable tools for early detection and screening of eye diseases and neurodegenerative disorders.
Features
- AI-powered infrared eye-tracking glasses for measuring eye movements
- Patented algorithms based on signal processing and deep neural networks for data analysis
- SONDA (Standardized Oculomotor Neuro-ophthalmic Disorders Assessment) functional vision test
- Automatic calibration and virtual chinrest for ease of use
- Integration with open-access software libraries for experimental design
- Cloud software platform for wireless and remote operation
- Easy-to-interpret reports with visual field sensitivity screening and risk indication
- Collection of eye movement data without button pressing or complex instructions