Company profile

Eyenuk, Inc.

Harnessing deep learning to prevent blindness

Medical Imaging & RadiologySeries A stage

Company profile

About Eyenuk, Inc.

Eyenuk, Inc. is a medical AI company that has developed EyeArt, the first and only FDA 510(k)-cleared autonomous artificial intelligence system for detecting vision-threatening diabetic retinopathy (vtDR) and more than mild diabetic retinopathy (mtmDR). The company's mission centers on preventing blindness through early detection, as retinal screening can prevent 95% of vision loss caused by diabetic retinopathy. Eyenuk's platform provides a comprehensive solution spanning screening, triage, and monitoring of retinal diseases. The EyeArt system delivers diagnostic results in under 10 seconds without requiring patient dilation or immediate specialist oversight, making it ideal for deployment in primary care, endocrinology, optometry, and ophthalmology settings. The platform achieves 96% sensitivity and 88% specificity for identifying mtmDR, and 97% sensitivity and 90% specificity for identifying vtDR. Beyond diabetic retinopathy, Eyenuk has expanded its capabilities to detect age-related macular degeneration (AMD) and glaucomatous optic nerve damage, with Class IIb CE mark clearance in the EU. The system integrates seamlessly with existing EHR systems and is compatible with multiple retinal camera models from major manufacturers. Eyenuk serves health systems, primary care clinics, specialty practices, and screening programs globally, helping providers close care gaps, generate revenue through CPT 92229 billing, improve quality metrics like HEDIS and CMS Star Ratings, and enhance Risk Adjustment Factor (RAF) scores through accurate disease documentation.

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

FDA-cleared autonomous AI for diabetic retinopathy screening

Software · Cloud SaaSCompany source

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

Eyenuk Monitoring Solution

Longitudinal disease monitoring with centralized clinical history

Platform · Cloud SaaSCompany source

EyeRead UWF

Lesion analysis in ultra-widefield retinal images

Software · OtherCompany source

EyeScreen

AI-powered triage and expert review platform for diabetic eye disease

Platform · Cloud SaaSCompany 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.

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

Nebraska Medicine

Efficient diabetic retinopathy screening in primary care clinics and rural locations

Placed Eyenuk cameras in 20 rural primary care locations throughout Nebraska through grant funding to ensure annual screenings

Temple Health

Lower cost patient engagement in primary care and improved specialist referral efficiency

Reduced number of normal eye exams and improved matching of patients needing specialist care

University of Kentucky HealthCare

Early identification of retinal disease in asymptomatic individuals

Enabled earlier intervention, better outcomes, and vision preservation through routine diabetes care integration

Wagner Kapoor Institute

Improved efficiency and quality of care through autonomous DR screening

Reduced reliance on manual grading, lowered costs, and simplified workflows since 2020 adoption

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