Our advanced AI platform is packed with features fine-tuned to solve component engineering problems. Reducing the need for multiple prototype stamping dies to predicting drag for rim designs.
Our platform uses algorithms built by our scientists proven to handle 3D data.
Built-in dashboards and visualisations enable engineers to communicate their finding with their team, managers or even clients.
From non-coders to python lovers, everyone can use our advanced machine learning models with a click of a button.
Built for big data with the ability to handle any data size. Tabulated or 3D files, whether it is CAD files or mesh files.
Use our API to integrate with your current workflow and software. Our platform is available on the Cloud or on premise upon request.
Big data requires good management solutions. Data gathering, labelling and cleaning is built-in to Monolith AI.
Monolith learns from your data of previous design cycles. Import your time-series data recorded from sensors, 3D CAD files of simulated or tested prototypes, or tabular data from a test bench, and import it into Monolith.
The data might need more exploration to remove redundant or erroneous values. Monolith automatically processes this data to ensure it is in the optimum format for our advanced machine learning models.
Whether it's compliance testing, design validation, new product, or a new testing condition. You can now predict the quality and performance to reduce testing.
If you change the design, Monolith will tell you how your new design will perform. Reducing the need for new tests and providing a quicker approach to product certification.