Damage Control

Short description of the business experiment

The Damage Control project aims to transform vehicle damage assessment by harnessing the power of Artificial Intelligence (AI) and High-Performance Computing (HPC). Traditional manual inspections are often slow, inconsistent, and costly. This initiative will develop an AI-driven solution capable of analysing vehicle images, text reports, and voice descriptions to deliver faster and more accurate damage evaluations.

Key technologies include computer vision, Natural Language Processing (NLP), and deep learning models, all trained and optimised using HPC resources. The ultimate goal is to streamline insurance claims and fleet management, reducing costs while enhancing efficiency.

Organisations involved: 

End User: AAA-1 Rent d.o.o. Beograd 

ISV: Tubeiq d.o.o. Beograd 

Technology expert: DunavNET d.o.o. Novi Sad