Computer vision-based AI & ML solution to enhance claims management for a leading auto insurance ISV.

Powered by a custom neural network architecture, we worked with our client to build an AI-powered application that quickly and accurately identifies vehicle damage from an image and immediately recommends the most appropriate action.

Our pathbreaking solution was the collision repair industry’s first extended reality (XR) solution designed to digitize and accelerate manual activities in the repair process. We built the IV wearable device on the RealWear HMT -1 platform. The high-resolution camera enabled repair professionals to capture photos and videos quickly. It also automatically extracted text-based information, saving time and preventing errors. An integrated accelerometer tracked the head movements to facilitate navigating detailed repair procedures, creating a hands-free experience optimized to support proper, safe repair.

We deployed our highly scalable solution on AWS Lambda. Our client could therefore handle up to 40 claims per minute using advanced image preprocessing— with early adopters testing the machine learning recommendations. Our collaboration also won Silver in three major categories of international design awards recently.