Who we are
An Argentine spin-off focused on preventing avoidable blindness
Retinar emerged from more than a decade of applied research in artificial intelligence for ophthalmology, connecting scientific work (CONICET and UNICEN), clinical practice, and field deployment. Our goal is straightforward: bring early diagnosis to people who would otherwise reach specialist care too late.
What makes us different
- We are designed to work with existing cameras, with no proprietary hardware required.
- We combine AI with professional validation to prioritize clinical safety.
- We are built for real implementation across primary care, hospitals, outreach campaigns, and public networks.
Traction signals
- 60,000+
- studies used in initial validation stages.
- 40+
- compatible fundus camera models.
- 95.5%
- reported sensitivity for risk detection.
Consolidated from validation and operational deployment data reported by Retinar.
What we focus on today
Early access
We bring retinal screening to care nodes without on-site ophthalmologists, increasing coverage in diabetic populations.
Clinical safety
The workflow is human-in-the-loop: AI assists, prioritizes, and improves capture quality, while final clinical decisions remain professional.
Institutional scalability
We integrate through API and an HSI extension point so large networks can deploy without rebuilding their full infrastructure.
From research to operations
-
2013-2019
Initial AI-for-retina research lines developed at PLADEMA/UNICEN.
-
2020-2022
Navigable prototypes, early clinical validation, and algorithm integration into a functional MVP.
-
2023-2024
Product-operations scale-up, field testing, and consolidation of the implementation model.
-
2025-2026
Company launch, active field nodes, and expanded interoperability capabilities.
How we work with each institution
01
Operational assessment
We map your care network, expected volume, and referral pathway.
02
Training and launch
We train capture teams and establish clear protocols for day-to-day operations.
03
Integration and monitoring
We connect existing systems and track quality, coverage, and referral indicators.
04
Continuous improvement
We review site-level performance to optimize workflows and sustain clinical impact over time.
Scientific and institutional foundation
Retinar is developed through collaboration between science and healthcare institutions, and deployed with organizations that need practical coverage solutions to prevent diabetes-related blindness.
If you are evaluating teleophthalmology deployment, let’s talk
We help you define a realistic adoption plan for your institution, focused on clinical safety, interoperability, and measurable outcomes.