The development of this solution started to design a high performance professional glider for competitions.
Our proprietary patent-pending neural network was developed using the latest deep reinforcement learning, CNN and GAN technology to create totally new geometric models and shapes with the best energy-efficiency, considering aerodynamic, hydrodynamic or energy propelling.
After the parameters input the system can generate a new shape model with a very high aerodynamic efficiency, optimized according to the specifications. The output can be a CAD file or a refined ready-to-simulate (meshed) CFD file.
Our team is composed of Engineers and Computer Scientists specialized in different areas and qualified in Mechanics and Fluid Dynamics, Machine Learning and Deep Leaning development.
Our solution is based in our proprietary neural network for dynamic geometric modeling developed by our team and with support of different partners.
All our unique development is applied in solutions and products with focus in energy efficiency and extremely high performance.