- Ophthalmic data management plus AI analysis
- Targets ophthalmology needs rather than a generic suite
- Scales to organization-wide healthcare rollouts
Best for
Eye care clinics and research programs
Pricing
Custom
SoftFinders Score
7.2 / 10
Overview
What is RetinAI?
RetinAI is an AI ophthalmology platform for eye care clinics and research programs, combining ophthalmic data management with analysis across screening workflows.
- Clinical role: It supports retinal screening and care routing rather than replacing ophthalmologists, while specialist follow-up remains essential for every positive screen surfaced through the workflow.
- Best-fit environment: Clinics and research programs gain value when ophthalmic data management and AI analysis align with established imaging workflows.
- Implementation checks: Buyers should confirm regulatory clearance, camera and imaging hardware compatibility, downstream referral integration, and program reporting before launching diabetic eye screening across primary care sites.
- Commercial model: Pricing is sales-led and scoped per buyer rather than publicly posted, so value depends on imaging data workflow.
A focused pilot around one workflow is usually the clearest way to assess fit before wider adoption.
KEY FEATURES
What you get out of the box
Primary Care Use
Designed for primary care screening settings
Care Routing
Routes positive screens to ophthalmology
Patient Reports
Generates patient-facing screening reports
Image Quality
Checks captured image quality before analysis
Retinal Screening
Screens retinal images for disease indicators
Autonomous Detection
Autonomous detection of diabetic retinopathy
USE CASES
Where teams put it to work
Editorial Take
What we like, and what to verify
- Value depends on imaging data workflow
- Positive screens need specialist follow-up
- Pricing is sales-led and needs scoping upfront
Screenshots
A look inside

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FAQ
