Reyedar

About Reyedar

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.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> ```

What does Reyedar do?

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.

Where is Reyedar located?

Reyedar is based in Groningen, The Netherlands.

When was Reyedar founded?

Reyedar was founded in 2020.

How much funding has Reyedar raised?

Reyedar has raised $3.4M.

Who founded Reyedar?

Reyedar was founded by Camiel van Vught and Alessandro G..

  • Camiel van Vught - Co-Founder
  • Alessandro G. - CEO
Location
Groningen, The Netherlands
Founded
2020
Funding
$3.4M
Employees
9 employees
Major Investors
Cottonwood Technology Fund
R

Reyedar

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.

Groningen, The NetherlandsFounded 202092K+ followers10/10 TractionRelative Traction Score based on online presence metrics compared to companies in the same age group.
Updated 18 months ago

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.

CT
Funding rounds are not available yet.

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
This profile is AI-generated and may contain inaccuracies.