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Trusted by Clients Worldwide
Join the Global Leaders Working with Us
AI for CFD Acceleration
Implementation of PyTorch and Tensorflow as linear algebra engines for CFD is leading to new frontiers in speedup and accuracy.
Turbulence Modeling
Academic advances in numerical schemes such as Hybridizable Discontinuous Galerkin methods (HDG) have shown tremendous promise in parallelization and solution speed-up. Time to commercialize is now.
Scaling in multi-node GPU clusters
GPU clusters used for AI training lend themselves for parallelized scientific computing. Our math (i.e. HDG) and language platform (i.e. TensorFlow) are built from the ground up to scale efficiently in such environments.
What We Do
Accelerated CFD on AI Platforms
a pioneering computational fluid dynamics (CFD) solver platform designed to accelerate solutions to engineering problems across many industries, such as energy transition, automotive, aerospace, and computer chip fabrication.
Accelerating time-to-solution in Computational Fluid Dynamics (CFD) applications presents one of the most fundamental engineering challenges to the advancement of manufacturing, transportation and access to sustainable energy. Imagine the advantage of certifying the airworthiness of an airframe by CFD analysis, validation of new chemical catalysts by CFD analysis instead of field tests, or the advantage of building a bioreactor to commercial scale and bypassing the buildout of test plants by CFD analysis. Current state-of-the-art CFD applications must be fundamentally rewritten to accelerate such engineering aspirations into reality.