Artificial Intelligence is reshaping the automotive and fleet management sectors by introducing automation, precision, and scalability into processes that were traditionally manual and error-prone.
Through the Damage Control project, this transformation is realized by combining the expertise of TubeIQ, DunavNET, and AAA-1 RENT. The project applies AI, computer vision, and high-performance computing (HPC) to enable automated vehicle damage assessment and improve efficiency, transparency, and customer satisfaction across fleet operations.
DunavNET’s role focuses on the development of robust multimodal AI solutions and high-performance computing workflows that make large-scale experimentation and real-world deployment possible.
The consortium’s collaborative approach demonstrates how advanced AI and HPC technologies can deliver measurable impact — from faster, standardized vehicle inspections to streamlined insurance claim processing and enhanced service quality for end users.
To learn more about the project’s results and future outlook, read the full article authored by Daliborka Nedić (DunavNET) and Aleksandar Ristić (TubeIQ) on the FFplus website.
