Ingrid Cloud Uses Self-Learning Algorithms to Drive Wind Simulations
Ranging from the AEC Industry to the automotive industry, Ingrid Cloud plays a critical role in proposing an easy-to-use, fully automated flow simulation service. The Stockholm-based company continuously develops the latest technologies widely applied in the design and construction industry through self-learning algorithms and cutting-edge research.
As a cloud-based software and service solution (SaaS), Ingrid Cloud allows users to run automated professional wind simulations without prior expertise within the field of computational fluid dynamics. By applying a Large Eddy Simulations (LES) method for modelling turbulence, the company provides accurate flow predictions using some of the world’s fastest supercomputing resources. Their innovation results from a spin-out from world-leading research conducted over a decade by a team of researchers at KTH Royal Institute of Technology in Stockholm, Sweden.
Data Aided Design was able to connect with the team from Ingrid cloud to blank and discuss the potentials of implementing wind simulations in architecture and urban projects from early stages of design.