Industry ready solutions, providing state of the art applications in the fields of Machine Learning (α-MaLe™), Computational Geometry (CoGe™), and Physical Modeling and Simulation (PhyMo™).
Intelligent agents to automate tasks and operations requiring complex and deep cognitive capabilities. Artificial Twin | α-MaLe™ is built on top of the most powerful Machine Learning frameworks to provide advanced AI functionalities. It can be applied on a vast set of input data, including audio, video and images, supporting the fastest approaches available, such as distributed parallel computing and CUDA.
The most advanced and efficient set of tools to solve a huge number of geometrical problems with optimized algorithms and data structures. Artificial Twin | CoGe™ can be used in various areas needing geometric computation and virtual representation, such as computer aided design, computer graphics, geographic information systems, robotics, medical imaging and molecular biology.
State of the art modules to simulate and test physical behavior of real objects inside a virtual environment. Artificial Twin | PhyMo™ is based on best-in-class libraries ranging from Computational Fluid Dynamics to Finite Element Analysis, allowing you to create virtual mock-ups to accurately and reliably replicate and investigate the physics behind your products and processes.
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