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We use the maximum capabilities of modern graphic subsystems (GPU) and CUDA technology for highly realistic rendering of 3D scenes in real time.

But we do not limit to that and utilize the power of graphic systems to speed up calculations in geometric algorithms and in other tasks that require massive calculations. 


Examples are computed tomography (CT), simulation of cutting a complex-shape crown with a cutter, calculating the distance of points from a surface consisting of millions of polygons, intersecting and combining surfaces, and much more. And of course, AI machine learning on deep neural networks.

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