Do you need to optimise and control vital processes? These could be chemical, pharmaceutical, or materials production processes; or discrete manufacturing; or business processes, such as supply chain management. You will want to maximise and maintain the quality of outputs while minimising cost, effort, and environmental impact. You may want to achieve these goals by introducing innovative new approaches or simply by refining existing processes. Whatever your requirements, you often face complex multi-parameter optimisation problems.
Alchemite™ can learn from real-world process data, generating powerful machine learning models that can then be applied to:
- Understand your processes – e.g., to find out exactly how process parameters influence your target objectives
- Design optimised processes – use the correlations in your data to predict the process parameters most likely to meet your targets
- Reduce costs – run virtual experiments to cut down on the number of physical tests and prototypes
- Control quality – learn from production data to enable continuous process improvement
- Support predictive maintenance – use modelling to anticipate and avoid system failures.
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.
