Alchemite™ enables you to optimise and control vital processes. These could be physical processes, such as chemical or materials production or discrete manufacturing. Or they could be business processes, such as supply chain management or logistics. You want to maximise and maintain the quality of outputs while minimising cost and effort. And you are often trying to achieve these goals using incomplete or noisy data.
Alchemite™ can learn from such real-world process data, generating powerful machine learning models that can then be applied to:
- Understand your processes – find out which process parameters correlate most strongly with the target properties for your process, and how changes in these parameters impact the outputs
- Design optimised processes – use the correlations in your data to predict the process parameters most likely to meet your targets
- Reduce cost – run virtual experiments to reduce the number of physical tests and prototypes, while finding options that lower energy requirements and minimise waste
White paper: Alchemite™ – enabling applied machine learning
Case study: High-speed digital manufacturing
3D printing leader Photocentric has used Alchemite™ software to identify optimal process parameters for different parts being manufactured through an innovative high-speed digital process. The models developed through this work can be connected to the live machines, so that they can learn and find better process parameters as more parts are made.
Alchemite™ for data insights
Unlock the insights hidden in your data through the power of machine learning. Alchemite™ makes it quick and easy to learn from any dataset, creating models that you can apply to fill in missing information, find critical relationships, and guide decision making.
Alchemite™ for Design of Experiments
Alchemite™ is a data-driven experimental design tool that helps your organisation become more productive with no extra effort. Powerful machine learning enables your team to work smarter, reducing prototyping and testing time by up to 80%. No lengthy training courses, no need for advanced statistics, and no coding required.
