Clinical AI Research & Development

AI That Works Where Medicine Happens

Aetheris AI Labs builds intelligent diagnostic tools designed for real clinical environments, fast, offline-capable, and built to the standards clinicians demand.

Aetheris AI Labs
Diabetic Retinopathy Detection Live
More Products In Dev
Coming Soon 2026
< 5s
Inference Time

FP16-optimized, on standard hardware

100%
Offline

Patient data never leaves the device

3x
Ensemble Models

Combined for maximum reliability

Our Products

Precision AI diagnostic tools built for real clinical environments, designed to work anywhere.

Live Product

Diabetic Retinopathy Detection

5-Level Severity Grading

Automatically classifies fundus images from No DR to Proliferative using a Hybrid Ensemble of Swin-Base, EfficientNetV2-M, and ConvNeXt-Base.

Multi-label Lesion Segmentation

Pixel-level detection of Hard Exudates, Hemorrhages, Microaneurysms, and Soft Exudates via U-Net++ with automatic optic disc masking.

Clinical Action Recommendations

Immediate next steps based on diagnosis, from routine screening to urgent specialist referral.

AI-Powered Ophthalmology

Specialist-Level Accuracy at Every Clinic

Millions of diabetic patients miss early detection windows due to limited specialist availability. Our desktop application brings automated, accurate DR screening to any clinical setting, no internet required.

92%
Sensitivity
89%
Specificity
More in Development
In Development

New Diagnostic Module

Expanding into additional clinical domains. Details to be announced.

Coming Soon

TBA

More products are being designed and tested.

Built for the Real World of Medicine

Healthcare infrastructure in many parts of the world remains under-resourced. Specialist shortages, unreliable connectivity, and high screening volumes mean patients fall through the cracks every day.

Aetheris AI Labs was founded to close that gap, building AI diagnostic tools that run locally, work fast, and deliver results clinicians can trust, regardless of location or resources.

Offline-First Architecture

All models run locally on standard hardware. No patient data ever leaves the device.

Clinician-Centered Design

Interfaces designed around clinical workflows, minimal friction, maximum diagnostic clarity.

Rigorous Validation

Models validated on diverse clinical datasets to ensure reliable performance across patient demographics.

Medical Professional

Get in Touch

Interested in Our Work?

Whether you want to schedule a product demo, discuss deployment at your facility, or explore a partnership, reach out and we'll get back to you.