For patients
I need a retinal screening
Do you have diabetes and live in the Málaga region? A diabetic retinopathy screening is non-invasive, takes around 15 minutes, and could protect your sight. Free during the pilot phase.
Who is Deneye for?
Whether you need a screening, work in healthcare, or are looking for a complete DR screening platform — Deneye has a path for you.
For ophthalmologists
I want to become a grader
Are you a certified ophthalmologist? Join the Deneye grading network and review AI-assisted fundus images remotely — from your practice or from home.
For clinics & practices
I want to connect my practice
Are you a medical professional looking to connect your clinic or screening program to the Deneye platform? We handle the grading infrastructure; you keep the patient relationship.
For organizations
I want the platform
Are you a hospital, screening program, or health authority looking for a complete DR screening IT solution? Use Deneye as a service or deploy it in your own environment.
By the Numbers
The Deneye AI grading model has been validated on independent external datasets across four countries, using images never seen during training.
37,368
Images validated
4
Countries
0.89
Kappa (best external)
Zero
Severe cases missed
Validated on independent external datasets: IDRiD (India), Messidor-2 (France), EyePACS (USA).
View full validation results
Platform Modules
A complete ecosystem for diabetic retinopathy screening - from image capture to patient results.
Screening Module
Image capture • Offline capable • Quality assessment
A web application for screeners to capture fundus photographs in the field. Works offline, syncs when connectivity is available.
Grading Module
Dual-panel viewer • Multi-grader workflow • Audit trail
A comprehensive viewer for ophthalmologists to grade fundus images with AI pre-grade overlay and full annotation tools.
Fundus Photo Viewer
Education • Training • Research
A viewing tool for learning, training, and research - with educational overlays, a case library, and self-assessment.
AI Grading Module
Deep learning • EfficientNet-B0 • REST API
Fully automatic grading using deep learning. Serves as a first-pass triage tool - every AI grade is reviewed by an ophthalmologist.
Patient Portal
Secure access • Results • History
Patients can securely view their screening results, history, and educational content about diabetic retinopathy.
Get in touch
Ready to learn more?
Contact us for questions about the platform, partnership opportunities, or to schedule a demonstration.