AI-Powered Eye Screening

Bringing global solutions to local problems.

Your eye care expert, for underserved communities. Screenetra delivers offline-ready, AI-driven cataract and retinal screening — built for the clinics that need it most.

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90M+
people in Indonesia at risk of preventable blindness
80%
of all vision impairment cases are preventable or treatable
1:50k
ophthalmologist-to-patient ratio in rural Indonesia
~0
offline-capable AI screening tools built for local contexts

Expert eye care shouldn't depend on your zip code.

Across Indonesia and much of the developing world, millions of people lose their sight to conditions that are entirely preventable — not because treatment doesn't exist, but because screening never happens.

The barriers are structural: too few specialists, unreliable connectivity, and tools designed for well-resourced hospitals in high-income countries. Screenetra was built to close that gap.

Our mission: make early detection accessible, affordable, and accurate — anywhere.

🌐
No internet? No problem. Screenetra runs fully offline on Android devices — no Wi-Fi or data connection required during screening.
🔬
High accuracy, continuously improving Powered by fine-tuned medical AI models trained on retinal imaging data to classify cataracts and other common eye conditions.
📱
Designed for local workflows Built in close partnership with Indonesian clinicians to fit real-world clinical routines, not idealized hospital settings.
💰
Lightweight & low-cost Optimized for modest hardware — no expensive infrastructure, no proprietary devices. Just a smartphone and the app.
How It Works

Screening in four simple steps.

Screenetra fits into your clinic's existing workflow — from image capture to AI-assisted diagnosis — in minutes, not hours.

01
📷

Capture the Image

A health worker captures a retinal or anterior segment photo using a compatible smartphone or fundus camera attachment.

No specialist needed
02
⚙️

On-Device Analysis

The image is processed locally on the Android device by Screenetra's AI model — no internet connection required.

Offline-first
03
📊

Instant Results

The app surfaces a confidence-graded screening result — flagging high-risk patients for referral and documenting findings.

AI-assisted
04
🏥

Referral & Follow-Up

Patients who need specialist care are identified early, before irreversible vision loss — enabling timely, targeted referrals.

Clinician-verified
A

Arnita

Founder & CEO
UC Berkeley MDevEng AI & Data Analytics EyePACS Alum ZEISS Indonesia

Built by someone who knows both worlds.

"I grew up in Indonesia and spent years working in ophthalmology product management. I've seen firsthand how many people lose their sight to conditions we already know how to treat — the bottleneck is always access."

Arnita brings over six years of health tech product experience in Indonesia, including hands-on work with ZEISS diagnostic equipment and digital clinical platforms. She holds a Master's in Development Engineering from UC Berkeley, with a specialization in AI and Data Analytics.

Her research background spans AI glaucoma screening at EyePACS, computational precision health, and large-scale ML workflows for clinical imaging. Screenetra is the intersection of all of it — the technical depth of her graduate work applied to the communities she knows best.

She is currently piloting Screenetra and actively seeking clinical and investor partners to scale.

Ready to bring better screening to your community?

Whether you're a clinic, NGO, or health system — we'd love to show you what Screenetra can do. Request a demo today.