At Optimad, artificial intelligence is more than a trend.
We’ve spent over a decade applying advanced AI techniques to real engineering challenges. From physics- and data-driven reduced order models to geometric deep learning and physics-informed neural networks, we have a solid foundation in state-of-the-art machine learning.
Founded in 2006 as a spin-off of Politecnico di Torino, Optimad has strong roots in fluid dynamics, aeronautical engineering and applied mathematics. We’ve taken part in national and European research projects to further develop our scientific expertise.
Our technologies support engineering and R&D teams across a wide range of industries. Professionals working in CAE, CAD, and PIDO use our solutions to streamline design processes in aerospace, automotive, rail, marine, manufacturing, and energy. By combining physics-based models with data-driven methods, we help identify the most effective solutions—delivering real, measurable impact.
As pioneers in reduced order modeling, we’ve developed advanced technologies for aerodynamic shape optimization and analysis of complex multi-physics and multi-scale phenomena. By fusing mathematical modeling, numerical simulation, and machine learning, we create integrated solutions that bridge simulation and data intelligence.
Optimad is driven by the relentless curiosity of its talented team. Our highly qualified experts consistently bring fresh ideas and dynamic perspectives that drive our technology. As a science-based company, we deeply value continuous learning and the commitment to exploring new approaches.
Since 2024 we’ve been part of ESTECO, an independent software company based in Italy specializing in numerical optimization and simulation process and data management.
As an ESTECO company, we’re focused on bringing advanced machine learning and explainable AI (XAI) capabilities into ESTECO’s digital engineering solutions — empowering simulation-driven product development across industries.
