THE START
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.
