In an interview with Les Echos, Duoverse shares its vision for the future of industrial digital twins and the growing role of hybrid artificial intelligence. 

Many engineering sectors rely on advanced numerical simulations to design products, evaluate safety or optimize industrial processes. These simulations provide high levels of accuracy but often require extensive computational resources, limiting their operational use. Purely data-driven AI offers faster predictions but lacks the physical understanding necessary for many engineering applications. 

Duoverse combines both worlds through hybrid AI. Instead of replacing physical models, artificial intelligence learns from them, reproducing complex simulations in a fraction of the original computation time while continuously integrating operational observations. 

This approach reduces the amount of data required for training, improves prediction robustness and enables digital twins to evolve alongside the real systems they represent. 

As industries continue to embrace digital transformation, AI-enhanced digital twins are becoming powerful tools for improving productivity, reducing environmental impact and supporting faster, more informed engineering decisions.