AI Decision Support for Ophthalmology

See more.
Diagnose earlier.
Act with confidence.

EYRIX brings AI-powered retinal analysis directly into your clinical workflow — enabling faster, more consistent assessments of OCT and fundus imaging across your entire patient population.

EYRIX — Retinal AI Analysis
Live Analysis
Finding
DME Detected
Macular edema present
Confidence
High
Recommend review
Layers Mapped
10 / 10
Full segmentation
Trusted by clinical teams across
Ophthalmology Clinics Eye Care Networks Telehealth Providers Screening Programmes
Why EYRIX

Built for the modern eye care practice

From busy screening clinics to specialist retinal practices — EYRIX delivers consistent, clinician-grade AI analysis that supports your team, not replaces it.

Faster Assessments

Instant AI-assisted analysis means your clinical team spends less time on routine reads and more time on patient care.

Clinician-Grade Safety

Built-in image quality checks and uncertainty detection automatically flag borderline cases for specialist review — nothing slips through.

Early Detection at Scale

Identify retinal disease at its earliest, most treatable stage — across your entire patient population, consistently.

Seamless Integration

REST API-first architecture connects to your existing imaging systems, EMR, and reporting workflows with minimal setup.

Supports Your Team

EYRIX acts as a second pair of eyes — providing structured, explainable outputs that help clinicians make faster, more confident decisions.

Quantitative Progression Tracking

Monitor disease progression across visits with structured, measurable outputs — enabling data-driven treatment decisions.

OCT Analysis

Every retinal layer,
mapped in seconds.

EYRIX analyses optical coherence tomography scans with clinical precision — delivering structured layer-by-layer intelligence that supports confident diagnostic reporting.

01

Multi-layer Retinal Segmentation

Pixel-level mapping of ten distinct retinal layers — from the nerve fibre layer to the choroid — with thickness measurements for each.

02

Fluid & Biomarker Detection

Automatic identification and localisation of intraretinal fluid, subretinal fluid, and other clinically relevant biomarkers.

03

Volume-Level Intelligence

Analysis across the full B-scan volume — not just a single slice — for more robust, clinically representative findings.

04

Visual Explainability

Heatmap overlays highlight the specific retinal regions that informed the AI's assessment, keeping clinicians in full control.

OCT Layer Segmentation 10-Layer Analysis
RNFL
GCL+IPL
INL
OPL
ONL
IS/OS
RPE
Choroid
Fluid
Conditions Detected

From early signs to advanced disease.

EYRIX is designed to support clinical decision-making across the full spectrum of retinal conditions — catching what matters, when it matters most.

OCT · Macular
DME
Diabetic Macular Edema
Fluid accumulation at the macula — a leading cause of vision loss in people with diabetes. Early detection enables timely intervention and vision preservation.
OCT · Neovascular
CNV
Choroidal Neovascularization
Abnormal blood vessel growth threatening central vision, commonly associated with wet AMD. Prompt identification is critical to prevent irreversible damage.
OCT · Degenerative
Drusen
Drusen Deposition
Early markers of age-related macular degeneration. Detecting drusen at the subclinical stage allows proactive monitoring before sight-threatening progression.
Fundus · 5-Stage Grading
DR
Diabetic Retinopathy
The leading cause of preventable blindness worldwide. EYRIX grades severity across five clinical stages — from no disease through to proliferative DR — supporting screening and referral decisions at population scale.
Workflow

Up and running in minutes.

EYRIX integrates directly into your imaging workflow. No complex setup, no disruption to your existing systems.

1

Upload Scan

Submit an OCT or fundus image via our secure API or direct upload portal.

2

Quality Check

Automatic image quality assessment ensures only reliable scans proceed to analysis.

3

AI Analysis

Retinal layers are segmented, biomarkers identified, and disease graded in seconds.

4

Clinical Report

Receive a structured, explainable report — ready to support your clinical decision.

Built for Clinical Trust

AI you can rely on,
every single scan.

EYRIX is designed with clinical safety at its core. Uncertainty is never hidden — it's surfaced, flagged, and acted on.

Automatic quality gating — poor or ambiguous images are flagged before analysis begins, not after.

Confidence-aware outputs — every result carries a confidence level, with borderline cases automatically routed for specialist review.

Visual explainability — heatmap overlays show exactly which regions drove the AI's finding, so clinicians can validate at a glance.

Structured clinical language — outputs are written for clinical audiences, not engineers, enabling direct use in reports and referral pathways.

5-Stage
Diabetic Retinopathy severity grading from a single fundus image
10+
Distinct retinal layers segmented per OCT scan
4+
Clinically significant retinal conditions detected and graded
<1s
Time to receive a structured AI assessment per scan
Our Foundation

Research-grade science.
Clinical-grade reliability.

EYRIX is built by a team of experienced machine learning researchers with deep specialisation in medical imaging — not a generic AI applied to healthcare.

Domain-Specific Research
Built on years of focused research in retinal imaging AI — not repurposed general-purpose models.
Clinically Validated Design
Every output format and safety decision reviewed against clinical ophthalmology standards.
Safety-First Engineering
Uncertainty quantification, quality gating, and abstention logic built in from day one — not bolted on.
Explainable by Design
Clinicians see not just what the AI found, but where it looked — with visual explanations on every result.
"We built EYRIX to meet the standard we'd expect if a family member's eyesight depended on it — rigorous, transparent, and safe enough to support real clinical decisions."
Experienced ML researchers with specialisation in medical image analysis and computer vision
Ophthalmology-specific training — models developed exclusively on retinal imaging datasets, not adapted from general vision tasks
Iterative clinical collaboration — design and output formats refined with practicing ophthalmologists to match real workflow needs
Production-grade infrastructure — built for enterprise deployment with security, reliability, and scalability at its core

Connect with Us

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