Project Idea: AssetAI.Link

The primacy of industrial activities is to create value. This value is achieved through transformation activities that depend on assets, and their availability depends on their management. This management must cover the beginning of the life cycle until the end of the physical asset, and this cycle must be as sustainable as possible. 

Asset management, particularly in industry, remains fragmented and uncooperative. Many companies accumulate under-utilized assets or dispose of them prematurely, while others, especially small and medium-sized enterprises, struggle to access technologically advanced assets due to the high acquisition costs. AssetAI.Link aims to bridge this gap by offering a digital ecosystem where companies can buy, sell, rent or exchange industrial assets based on a detailed analysis of their condition, technical history, and estimated residual value. 

The AssetAI.Link project proposes the development of the largest European intelligent digital platform for the management, reuse, and trading of industrial assets, based on operational data and the integration of technologies such as Internet of Things (IoT), artificial intelligence, and risk analysis models. The platform aims to optimize the use of industrial assets throughout their lifecycle, promoting the circular economy, production efficiency, and the reduction of environmental impact. 

With features such as full registration of assets, assessment of remaining useful life, maintenance history, chat between users, and interactive graphical visualization of the asset life cycle, the platform promotes transparency, trust, and collaboration between companies of different sizes. In addition, the project provides for coordination with public policy and environmental institutions, thus creating financial and regulatory incentives for compliance with the system. 

AssetAI.Link is thus positioned as an innovative solution that boosts environmental sustainability, the profitability of industrial investments, and the digital transformation of the sector.

PI contact: Balduino Mateus, PhD (p5923@ulusofona.pt)