A Malaysian clinic

AI X-ray analysis for clinics

Clinic software that annotates X-rays and detects landmarks with AI.

app / imaging

Illustrative screen. No client data shown.

The challenge

Clinicians marked landmarks on each X-ray by hand before they could measure anything.

Analysis took time at the chair, and reports were assembled separately afterwards.

A browser-based annotation canvas for X-rays, with measuring and labelling tools.
AI landmark detection that places points for the clinician to review and adjust.
Reports generated from the confirmed landmarks.

Vision AI marks the landmarks first. Every correction a clinician makes feeds a data flywheel, so the model improves with use.

Clinicians review and confirm instead of starting from a blank image, and the report comes out of the same screen.

Measuring

Minutes per X-ray analysis, before vs after

In a free 30-minute audit we’ll map it, then quote based on complexity.

app / billing

Invoices this month

128

Usage vs limit

38%

Invoices, top-ups and usage limits run themselves.

Measuring

Hours saved on billing per month

app / orders

Orders

24 active this week

Ask the assistant about an order…Planned

Order management for a broadband reseller, with an embedded AI assistant (planned).

Measuring

Orders processed per admin per day