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Computational fluid dynamics (CFD) simulations are increasingly in demand by engineers, and traditional tools have struggled to keep pace with the growing computational requirements. At Vanellus, we are disrupting the limitations of legacy methods by extending cutting-edge machine learning research to develop radically more efficient CFD. We are helping engineers in a wide range of industries overcome critical challenges posed by expensive CFD, and we already have a waitlist of 40 engineers (including from 7 Formula 1 teams) and have an ML expert working with the America's Cup sailing competition as an advisor .
We have just received our pre-seed funding to continue the development of our accelerated CFD prototype. Currently, the team includes the company founders, Laurence Cullen (Machine Learning engineer with 6 years of industry experience in computer vision and NLP) and Dr. Michael Negus (applied maths PhD from Oxford with research focusing on mathematical modeling and CFD).
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