Alchemite™ enables a fast, iterative approach to exploring R&D challenges with machine learning. New model revision features make it even quicker and easier to refine machine learning models and gain insight from new data.
A simple drag-and-drop is all that’s needed to add new data to an Alchemite™ project. Alchemite™ will generate an updated ML model and automatically link this to the existing model, making it easy to manage and review revisions. Flick between versions to compare key analytics, track changes in the model quality, and re-use Design of Experiments configurations from previous revisions with your new model. This makes it simple to improve your models while understanding in detail what new data is telling you about your system, and supports adaptive experimental design – an iterative approach to managing experimental programmes that hits targets with 50-80% fewer experiments than conventional DOE.