A technology for any industry
Monolith is used for any product development
or advanced engineering application
How will changing this part of our design affect aircraft safety?
To ensure the quality and safety of aircraft, manufacturers need to carry out millions of tests. Any small change in design or flight conditions requires a huge amount of time and resources to validate and certify again.
Using historic simulation data, Monolith learns aircraft dynamics to predict the outcome of complex changes in design or operating conditions. It also quantifies the level of certainty of these predictions.
Being able to predict the complex outcome of a design change with certification accuracy can save millions. In addition, our powerful data analysis and visualisation capabilities improve decision making in the development process.
How to capture accurate performance prediction models faster?
Accessing the quality or performance of vehicles is a complex multi-variable problem. When carrying out physical tests or simulations, it is difficult to know in which series of conditions vehicles should be tested to efficiently build numerical models predicting performance.
Using our Active Learning algorithms,
our software suggests the next best conditions in which to carry out wind tunnel tests to access aerodynamic performance with fewer tests. Our Dynamic Learning algorithms can learn vehicle dynamics on the go from random driving on the track. Our Transfer Learning algorithms can correlate data from different testing sources to predict a new vehicle's behaviour on the track before even having to build it.
Our customer can benefit from 90% less testing time thanks to AI-driven testing, and 80% less data analysis thanks our interactive and ergonomic user interface. Our software can be seemlessly integrated in the existing product development workflow.
How to reduce plastic usage and accelerate time to market of new designs?
Reducing the amount of material going into packaging without reducing the perceived quality by the customer is always a challenge. Moreover, increasing competition and the effect of social media make it crucial to bring products to market faster.
Using its own simulation data generator, Monolith learns the structural mechanic behaviour of packaging products, to instantly predict the performance of a new design. Our software embeds an easy-to-use simulation tool which can also recommend the design of products from setting performance goals. Using historic product development data, Monolith can also predict the overall environmental footprint of a new design.
With AI-Assisted simulation and product development, our client is able to streamline its process, eliminating the need for repetitive iterations to validate new designs, and providing a comprehensive overview of the environmental impact of developing a new product.