AI-powered retinal
disease screening

With the power of AI,
we now have the ability to

Detect

retinal diseases — starting with diabetic retinopathy, with more conditions available on the platform soon

Classify

the severity and progression of the disease with precision

Accelerate

screening times from hours to under 60 seconds

Reduce

misdiagnosis risk with AI-powered clinical accuracy

Discover our screening technology

Scan

Capture high-resolution fundus images with any compatible retinal camera

Analyze

AI processes retinal images using deep learning algorithms trained on thousands of cases

Grade

Automated grading of retinal disease severity — currently supporting diabetic retinopathy, with additional diseases coming soon

Report

Instant clinical reports with actionable recommendations for patient care

Scan platform preview
Eyequno story

Explore Eyequno

Empower your practice with AI-assisted retinal disease screening — starting with diabetic retinopathy — that delivers accurate grading results in under 60 seconds.

Why EyeQuno

Ophthalmic hospitals in South America are under serious strain — wait times exceed a year, millions of patients lack early retinal screening, and 36.3% of Brazilian diabetics have diabetic retinopathy. EyeQuno addresses this with a commercially ready, LATAM-first AI diagnostic platform.

01 — Higher Revenue

Increase Patient Volume & Hospital Revenue

With increased patient intake and higher quality of care, the overall experience and volume will drive hospital revenue up.

02 — Lower Liability

Reduce Diagnostic Risk & Legal Exposure

Misdiagnosis due to exhausted doctors and sheer patient volume leaves hospitals liable to lawsuits. EyeQuno acts as a second set of eyes, ensuring greater diagnostic safety.

03 — Better Prioritization

Triage Patients by Urgency, Not Arrival Order

Creating the right priority allows for better patient care. It also pushes towards a positive reputation based on patient needs and urgency — ensuring the most critical cases are treated first.

Ophthalmic hospitals in South America face over a year of wait times, limited retinal screening access, and a growing diabetic retinopathy burden. EyeQuno’s AI platform is built to solve this.

1 year+
wait times at ophthalmic hospitals in South America
36.3%
of Brazilian diabetics have diabetic retinopathy
Millions
of patients lack access to early retinal screening
<60s
to analyze a fundus image with EyeQuno’s AI engine
45
paying hospitals targeted by January 2027
100+
partner clinics and hospitals targeted across Latin America by 2028
Jun 2026 — MVP Deployment in 3 Brazilian Hospitals

Jun 2026 — MVP Deployment in 3 Brazilian Hospitals

EyeQuno deploys its MVP in three hospitals in Brazil, beginning real-world AI-assisted retinal diagnostics and collecting feedback to improve the model.

Jul 2026 — Beta Expansion to 8 Hospitals

Jul 2026 — Beta Expansion to 8 Hospitals

After iterating on the model to achieve the highest diagnostic accuracy, EyeQuno expands to eight beta-testing hospitals across Brazil.

Aug 2026 — Full Launch & Multi-Disease Expansion

Aug 2026 — Full Launch & Multi-Disease Expansion

EyeQuno moves to a full commercial launch with support for multiple retinal pathologies, scaling its AI diagnostic platform across the region.

This is AI-powered retinal screening.

This is the future of eye care.

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