Vehicle intelligence, from the team behind ANPR.software

Our story

It started with license plates. Existing global recognition systems struggled with the realities of the Gulf — Arabic script, emirate-specific formats, and plate designs no generic model had ever seen. So we built our own. We collected and annotated hundreds of thousands of real vehicle images and trained custom machine-learning models from the ground up. That became ANPR.software, our first original product, followed by LPR.software for license plate recognition beyond the region.

Building those products taught us something bigger: the hardest part of vehicle AI isn't reading a plate — it's understanding the car itself, reliably, in messy real-world conditions. Insurers, rental companies, fleets, and dealerships kept asking the same question: can your models tell us what's wrong with the car, not just who owns it?

DamageDetection.software is our answer. Built on the same computer-vision foundation as ANPR.software and LPR.software, it reads a vehicle's exterior the way an expert appraiser would — pinpointing every dent, scratch, and broken part, grading severity, and returning structured data any system can act on. What used to take days of back-and-forth now takes a single API call.