DIGITAL TWIN
The bridge between physical reality and predictive intelligence
The Digital Twin, or digital twin, is a virtual replica of a physical object, process or system, updated in real time thanks to the data collected. This technology makes it possible to monitor, analyse and predict the development of a physical entity, reflecting not only its appearance but also its inner workings. In the coming years, it will be crucial in addressing challenges such as climate change, urban growth and economic efficiency.

Towards smarter cities
Sustainability and energy efficiency for a new development model
The integration of smart infrastructure and advanced energy solutions makes cities more sustainable, improves quality of life and reduces operating costs, paving the way for new models of urban growth.
Real-Time Monitoring
Infrastructure such as bridges, buildings and roads can be constantly monitored by digital twins to predict maintenance and prevent problems.
Energy Efficiency
Cities of the future will use data collected by Digital Twin to optimise energy use, reduce waste and adopt renewable sources more efficiently.
Applications
Logistics and transport
Predictive simulations of traffic scenarios, testing of autonomous driving vehicles.
Environment and land management
Managing climate change, optimising resource management.

