Company profile

Eyenuk, Inc.

Medical Imaging & RadiologySeries A stage

Company profile

About Eyenuk, Inc.

Eyenuk is a global AI medical technology company and the leader in real-world AI Eye Screening for autonomous disease detection.

Company description Eyenuk, Inc. official website

Primary marketMedical Imaging & Radiology
Commercial modelCommercial information available on request
Company presenceLinkedIn X
Work at Eyenuk, Inc.?

Claim this profile to manage Company information and connect with the Health AI Central audience.

Claim this listing

01 · Operating footprint

Where the Company operates

Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.

Clinical focus

  • Age-related Macular Degeneration
  • Diabetic Retinopathy
  • Glaucoma

Who it serves

  • Diabetologists
  • Educators
  • Endocrinologists
  • Insurers
  • Nurses
  • Ophthalmologists
  • Optometrists
  • Payors
  • Physicians
  • Primary care clinics

Deployment & integration

Cloud Saas · Hybrid · Other deployment with recorded integration context.

Recorded integration context: EyePACS database, fundus cameras.

Geographic context

MarketsCanada · Denmark · European Union · United States
Company sourceOfficial website

Company milestones

Platform expansion

World's first national health system deployment in Denmark (Sept 2025), FDA clearance for multiple cameras (June 2023), EU MDR certification for DR, AMD, and glaucoma (Jan 2023), new CEO and Chairman appointments (Jan 2025)

Partnerships

Recorded partners

  • Doheny Eye Institute
  • FDA
  • National Eye Institute
  • National health system deployment in Denmark
  • University of Illinois at Chicago
  • University of Manchester
  • Washington University School of Medicine

02 · Flagship portfolio

Products, workflows, and platform capabilities

Selected source-backed Company products and the available commercial context.

EyeArt AI Eye Screening System

Autonomous AI detection of diabetic retinopathy, AMD, and glaucoma from retinal images

Software · HybridCompany source

EyeArt for AMD Detection

AI-powered detection of age-related macular degeneration

Software · HybridCompany source

EyeArt for Glaucoma Detection

AI-powered detection of glaucoma from retinal imaging

Software · HybridCompany source

EyeMark

AI system to accurately track retinopathy progression over time

Software · OtherCompany source

EyeRead UWF

Lesion analysis in ultra-widefield retinal images

Software · OtherCompany source

Eyescreen Service

AI-powered eye screening service for healthcare providers

Service · Cloud SaaSCompany source

03 · Research intelligence

Research Intelligence evidence

Publications, preprints, clinical validation, and regulatory records in Evidence Position order.

Evidence position

Publications, clinical validation, and regulatory records connected to this Company appear here.

Research

Publications & preprints

Predicting progression to proliferative diabetic retinopathy using automated versus manual quantification of retinal haemorrhages.

Eye (London, England) · Apr 1, 2026

Diabetic Retinopathy Screening Among Federally Qualified Health Center Patients Using Point-of-Care AI: DRES-POCAI: A Trial Protocol.

JAMA network open · Oct 1, 2025

Comparison of Validity and Reliability of Manual Consensus Grading vs. Automated AI Grading for Diabetic Retinopathy Screening in Oslo, Norway: A Cross-Sectional Pilot Study.

Journal of clinical medicine · Jul 7, 2025

A pilot cost-analysis study comparing AI-based EyeArt® and ophthalmologist assessment of diabetic retinopathy in minority women in Oslo, Norway.

International journal of retina and vitreous · May 23, 2024

Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.

JAMA network open · Nov 1, 2021

Diabetic Retinopathy Screening in Patients with Diabetes Using a Handheld Fundus Camera: The Experience from the South-Eastern Region in Hungary.

Journal of diabetes research · Jan 1, 2021

Clinical validation

Clinical-trial records

Diabetic Retinopathy Screening Point-of-Care Artificial Intelligence

NCT06721351 · Sponsor · ACTIVE NOT RECRUITING

Assessment of EyeArt Performance With Retinal Cameras

NCT04984200 · Sponsor · COMPLETED

Automated Retinal Image Analysis System (EyeQuant) for Computation of Vascular Biomarkers

NCT04567745 · Sponsor · COMPLETED

Assessment of EyeArt Performance With Retinal Imaging Devices

NCT04302012 · Sponsor · COMPLETED

Pilot Assessment of EyeArt as an Automated Diabetic Retinopathy Screening Tool

NCT03078231 · Sponsor · COMPLETED

Assessment of EyeArt as an Automated Diabetic Retinopathy Screening Tool

NCT03112005 · Sponsor · COMPLETED

Regulatory

Regulatory records

EyeArt v2.2.0

K223357 · 510k · Jun 16, 2023

EyeArt

K200667 · 510k · Aug 3, 2020

04 · Company-reported outcomes

Outcomes and case studies

Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.

96% sensitivity for detecting more-than-mild DR

Pivotal clinical trial

88% specificity for more-than-mild DR

Pivotal clinical trial

97% sensitivity for vision-threatening DR

Pivotal clinical trial

90% specificity for vision-threatening DR

Pivotal clinical trial

98% imageability

Pivotal clinical trial

Results in under 60 seconds

Real-time screening

Denmark National Health System

World's first national health system deployment of autonomous AI eye screening technology

First national-scale deployment of autonomous AI eye screening

University of Illinois at Chicago

Pivotal, prospective, multi-center clinical trial for diabetic retinopathy detection

96% sensitivity and 88% specificity for more-than-mild DR; 97% sensitivity and 90% specificity for vision-threatening DR; 98% imageability

EyePACS

Large scale validation of EyeArt AI system for diabetic retinopathy screening

Validated on over 100,000 patient encounters

05 · Leadership

Leadership team

Leadership profiles and professional links from the current Company record.

Kaushal Solanki

Chief Executive Officer

LinkedIn

06 · Company updates

Updates from Eyenuk, Inc.

Recent articles published on Eyenuk, Inc.'s official website.

07 · HAIC coverage

Coverage and analysis

Health AI Central reporting that mentions this Company.

No HAIC coverage is currently linked to this Company.

08 · Official presence

Company sources and channels

Curated official destinations from the active Company record.

09 · Market pathway

Additional Companies in this Market

Other active Companies in the same market, selected alphabetically from the HAIC directory.

Market context

Medical Imaging & Radiology

Companies that apply AI to analyze medical images for diagnostic purposes, workflow optimization, or clinical decision support. Covers general radiology (X-rays, CT scans, MRIs, ultrasounds) across multiple organ systems, as well as specialized imaging in ophthalmology and dermatology.

Explore the full market directory or compare this Company with additional active profiles.

View all Companies in this market

10 · Pro research

Coming soon

Expanded Company research is in development.

Health AI Central Pro · Coming Soon

Deeper Company research is coming soon.

Pro Research will introduce expanded technical context, linked evidence analysis, and comparative Company research.

ResearchEvidence analysis

Linked research, clinical, and regulatory source pathways.

CompanyTechnical context

Expanded product, deployment, integration, and partnership research.

MethodSource & review record

Record-level provenance and review context.

Coming Soon