Detect Diabetic
Retinopathy
with AI Precision
Fundusnap empowers healthcare professionals with instant, accurate diabetic retinopathy screening using advanced AI analysis of fundus images.
Fundusnap
Welcome, Dr. Smith
Start scanning to detect diabetic retinopathy.
Recent Scans
View All
New Snap (1)
Jan 20, 2026
Completed
New Snap (2)
Jan 19, 2026
CompletedSecure
Data Protected
AI Analysis
Fundus Scan
Everything You Need for
Retinal Screening
Fundusnap combines powerful AI technology with an intuitive interface to streamline diabetic retinopathy detection for healthcare professionals.
Easy Image Capture
Capture fundus images directly with your smartphone using a special lens attachment, or upload existing images for analysis.
AI-Powered Analysis
Advanced machine learning models trained on thousands of retinal images provide accurate diabetic retinopathy detection.
FundusAI Assistant
Chat with our medical AI assistant to understand results, ask questions, and get detailed explanations about findings.
Case Management
Organize patient scans with an intuitive case management system. Track history, add notes, and monitor progression.
HIPAA Compliant
Your data is encrypted and stored securely on Azure cloud infrastructure, meeting healthcare compliance standards.
Mobile First
Designed for healthcare professionals on the go. Access patient data and perform screenings anywhere, anytime.
Simple, Fast, and
Accurate Screening
Get from image capture to diagnosis in under a minute with our streamlined workflow designed for busy healthcare professionals.
Capture or Upload
Use your smartphone with a funduscope attachment to capture retinal images, or upload existing fundus photographs from your device.
AI Analysis
Our advanced AI models analyze the image in seconds, detecting signs of diabetic retinopathy and identifying retinal artifacts with precision.
Review Results
Get detailed classification results with probability scores, highlighted areas of concern, and visual markers on the fundus image.
Consult FundusAI
Chat with our medical AI assistant to understand findings, explore treatment options, and get answers to your clinical questions.
Built for Earlier
DR Detection
Indonesia is home to 20M+ people with diabetes, and 1 in 3 will develop diabetic retinopathy. Yet fewer than 6% of clinics are equipped to screen eyes, and fundus cameras cost more than IDR 100M, leaving rural areas without routine access to screening.
Fundusnap closes this gap by turning a smartphone into a retinal screening tool using a low-cost lens and AI workflow that includes on-device preprocessing and cloud analysis. We start with a 75-clinic, 2,000-patient pilot by 2027 and scale toward 3,378 reachable Puskesmas and 2M patients across Indonesia.
“We focus on affordable, explainable screening so primary care teams can triage patients early and reduce preventable vision loss.”
75
Clinic pilot target (2027)
2,000
Patient pilot target (2027)
Up to 70%
Screening cost reduction
Up to 50%
Specialist workload reduction
Recognized by
Leading Innovators
Fundusnap has earned recognition across Indonesia's health-tech and AI innovation ecosystem for its impact on diabetic retinopathy screening.
3rd Winner elevAIte Microsoft x Biji-biji Hackathon 2025 at Tel-U Hub
Organized by
Microsoft
Biji-biji Initiative
Telkom University
Top 6 Finalist Digination Fest PPI Hackathon 2025
Organized by
Perhimpunan Pelajar Indonesia Dunia
Top 30 Pikiran Terbaik Negeri x elevAIte 2025
Organized by
Yayasan BUMNMicrosoftBiji-biji Initiative
FundusnapStart Screening
Today
Download Fundusnap and join thousands of healthcare professionals using AI-powered diabetic retinopathy screening to protect their patients' vision.
Fundusnap
Available on iOS & Android
4.9 Rating
AI Ready