The Aerodynamic Prediction Demo Is Now Online

We are pleased to announce that our SPAIDER Demo Application is now live and accessible online.
The demo showcases our work on predicting the aerodynamic performance of airfoils for different shapes, at different speeds and angles of attack,.

The application includes a parametrization tool that allows users to modify the airfoil geometry and boundary conditions, and an interactive graphical interface for real-time visualization.
At its core, a Graph Neural Network (GNN) predicts detailed flow field quantities — including velocity (U), pressure (p), turbulent kinetic energy (k), and dissipation rate (ε) — along with the corresponding streamlines.
The demo is supported by a robust middle-end infrastructure that ensures smooth interaction between the user interface and the predictive model.

This demo represents an important step in demonstrating how AI can accelerate aerodynamic analysis and support the development of innovative engineering tools.
Feel free to ask us the access to test our first application!
Click here to join 👉🏻 Airfoil-Demo