AI Solution for Aerospace & Defense Engineering | Monolith

Aircraft wind tunnel testing

By simulating an aircraft using computational methods such as Computational Fluid Dynamics (CFD), engineers can mimic the physical domain and run virtual wind tunnel experiments for a fraction of the price. This allows aerospace engineers to understand the performance of designs in advance, thus narrowing down the right design choices for the prototype stage.
Build 3D AI models that directly predict rolling road wind tunnel performance of a rim from the CAD design – faster and more accurate than CFD!
By importing data from the sensors, test rig, and airflow, the customer can accurately predict the readings from sensors that have failed, the aerodynamic performance of the product, and the impact of air contamination on the test.

Flight dynamics

Predict turbulent aircraft behaviour with Monolith. Perform dynamics tests in 72–80% less time using Bayesian Deep Learning in a clever new way.
As gusts occur at many different wind speeds, flight altitudes, and for differently loaded aircraft, engineers need to manually check 1000s of scenarios – a tremendously complicated task.
With a deep neural network predicting changes in real-time as part of an interactive dashboard, this actually becomes quite fun to do.

It is imperative to get to market faster.

You need to get to market faster with revolutionary new EV batteries but you can't rely on your current methods of physical testing and simulation^*.

In our 2024 study, 58% say AI is crucial to stay competitive. Here are other highlights:

64% believe it's urgent to reduce the time and effort on battery validation
66% say it's imperative to reduce physical testing while still meeting quality and safety standards
62% indicate virtual tools, including simulation, do not fully ensure battery designs meet validation requirements