Technology
Computer simulations for complex engineering development.
AI-enhanced Engineering Simulation for Next-Generation Design
IngeniNetSim is our proprietary AI code that uses cutting-edge neural networks based algorithms.
Our technology bridges the gap between modern AI and traditional Computer-Aided Engineering (CAE). It is designed specifically to augment physics-based engineering simulations like Computational Fluid Dynamics (CFD) and Finite Element Analysis (FAE) using advanced neural network algorithms.
How it Fits into Modern Engineering
Traditional simulation tools require massive computing power to solve raw physics equations from scratch every time a design changes.
IngeniNetSim trains AI models on historical simulation real-world data, allowing engineers to input a modified design and receive instant feedback on airflow, thermal distribution, or stress analysis without waiting for a massive high-performance computing (HPC) cluster to finish a run.
Core Capability & Performance
Massive Time Reduction: IngeniNetSim reduces complex engineering simulation runtimes by over 99%, compressing timelines that typically take days or hours down to mere seconds.
Project Acceleration: By leveraging fast neural network inferences instead of heavy numerical solvers, the platform accelerates overall project delivery timelines by more than 60%.
Target Industries: The software is tailored heavily toward high-performance, complex engineering sectors such as aerospace, Formula 1 / motorsport, aeronautical industry and structural engineering.
Performance metrics:
Design Optimisation
Faster design development without accuracy trade-off
.png)
Mesh cells >3M
Training set 70
Full dataset 90
GPU demand <4GB
Training time 3h
Time per AI sim <1s
Averrage CD error <1%
Averrage CL error <5%
Contacts
Born in England, we cover the world!
E-mail:
United Kingdom
Trusted partners and innovators
.png){kind=small}
