The ICEnet consortium
ICEnet provides data-driven AI tools that improve engine design and fuel efficiency for OEMs and engine developers. It uses predictive machine learning models and simulation data to optimize design cycles. Core technology includes AI and ML integrated with Siemens, AVL, and Convergent Science, with collaborations from NVIDIA and MathWorks. The product targets automotive and heavy machinery sectors, scaling through partnerships with major design platforms and real-world deployment. Category: B2B software for engine R&D.
The ICEnet consortium
ICEnet provides data-driven AI tools that improve engine design and fuel efficiency for OEMs and engine developers. It uses predictive machine learning models and simulation data to optimize design cycles. Core technology includes AI and ML integrated with Siemens, AVL, and Convergent Science, with collaborations from NVIDIA and MathWorks. The product targets automotive and heavy machinery sectors, scaling through partnerships with major design platforms and real-world deployment. Category: B2B software for engine R&D.