Abstract: Akselos provides Digital Twins of industrial equipment in a range of industries, including energy (oil & gas, wind, hydro), marine, mining, chemicals, and aerospace. The Akselos platform is based on RB-FEA, which is a unique combination of the Reduced Basis method for fast and accurate reduced order modeling of parametrized PDEs and a domain decomposition framework that enables large-scale component-based analysis. In this presentation we will discuss the foundations of RB-FEA --- including its similarities and differences to other related Scientific Machine Learning methods --- and demonstrate applications to industrial Digital Twins.