One of the European Union’s objectives in climate change consists of reaching net-zero greenhouse gas emissions by 2050. Such perspective puts the metallic materials industry, as a large contributor to carbon emissions, under tremendous pressure for change and requires the existence of robust and qualitative computational materials strategies to design, to enhance, to calibrate, with a very high degree of confidence, new metallic materials technologies with a limited environmental impact. From a more general perspective, the in-use properties and durability of metallic materials are strongly related to their microstructures, which are themselves inherited from the thermomechanical treatments. Hence, understanding and predicting microstructure evolutions are nowadays a key to the competitiveness of industrial companies, with direct economic and societal benefits in all major economic sectors. Multiscale materials modeling, and more precisely, simulations at the mesoscopic scale, constitute the more promising numerical framework for the next decades of industrial simulations as it compromises between the versatility and robustness of physically-based models, computation times, and accuracy. In this context, a breakthrough numerical strategy to describe the microstructure evolutions of metallic materials during complex industrial thermomechanical treatments has been developed through the ANR Industrial Chair DIGIMU (Oct.2016-Mar.2021). The outcoming DIGIMU® software is now available for the industry, and able for quantitative predictions of microstructure evolutions on material volumes in the range of one mm3, with typical computation times of a few days when performed on a simple laptop. Such simulations and computational efficiency were a dream ten years ago, a reality now with the DIGIMU developments. The purpose of the RealIMotion project is to push the limits of numerical metallurgy further and develop a promising new numerical framework coupled with a machine learning physically-based strategy to aim for massive computations, consideration of much larger material volumes, in connection with macroscopic simulations and still with reasonable computation times to be compatible with industrial daily uses. Such a leap in the models will open the door for industrial partners to tune numerically thermomechanical routes, build microstructure-targeted industrial processing maps and automatically propose new enhanced homogenized models. RealIMotion project brings the cutting-edge and exploding strategies of data science, physically-based models, and machine learning at the service of industrial metallurgy. Major advances regarding the concept of digital twins in metallurgy and a worldwide leading position of the RealIMotion partners concerning Integrated Computational Materials Engineering (ICME) developments are expected outcomes of the Chair program. The RealIMotion PI is a pioneer and a world leader in mesoscopic scale modeling of microstructure during hot metal forming. The French industrial consortium supporting the developments of digital materials in the context of hot metal forming has grown in the RealIMotion proposal. Constellium and Aperam are new partners. Framatome, Aubert&Duval, ArcelorMittal, CEA, and Safran brought new targeted applications on zirconium alloys, aluminum alloys, dual-phase steels, and new generation nickel based superalloys. The students recruited in the RealIMotion Chair will enjoy a perfect environment to become experts in computational metallurgy, digital twins, and IA and meet the metallurgical industry needs for the future. The expected benefits will be job-creating for all the partners involved. The RealIMotion Chair will contribute to the materials science teaching effort by offering to the universities concerned free access to DIGIMU® software for pedagogic purposes, and a turnkey tutorial set adapted for practicum.