Alchemite™ Analytics Features
Advanced machine learning in a few clicks
Web browser-based access to the Alchemite™ data analysis, model-building, optimisation, and prediction tools, with intuitive graphical visualisation of results. Any scientist or engineer can get started, fast – no coding skills are required. And Alchemite™ Analytics is lightning-quick – it takes minutes to train models that take conventional machine learning methods hours or days.
Enrich and understand sparse and noisy data
Import any numerical data – however sparse and noisy – and extract value from it with tools to validate and gap-fill data and to detect outliers. Auto-generate predictive models from the data, enabling breakthrough insights. Sophisticated uncertainty quantification enables you to gain confidence in decisions and to target time and cost more effectively.
Fewer experiments, better results
Whether you are running scientific experiments or other types of data acquisition project, with Alchemite you can get more from less. It tells you what data to gather next in order to refine its model most effectively for the least effort. And then you can apply that model to propose which candidate solutions are most likely to meet specific targets – for example, to ensure that costly physical experiments focus on the most productive pathways.
How Domino Printing Sciences reduced key experimental timescales.
Designing a new aerospace alloy to simultaneously meet eleven physical property criteria.
Design and optimise products and processes
Alchemite™ finds relationships in high-dimensional data and can optimise against multiple target properties. Generate innovative solutions that you might otherwise miss. Run virtual experiments to quickly screen candidate solutions. The ability to build models across all available data, even where that means coping with sparse data sets, means Alchemite™ helps you to see the full picture. For example, for material, chemical, or drug formulations, you can optimise ingredients and process parameters in a single study.
Enable effective collaboration
Standardise your team’s machine learning approach with a consistent toolset, aiding consistency, promoting knowledge-sharing, and easing on-boarding of new team members. By capturing key insights in re-usable models, you protect vital intellectual property – for example, when scientists leave or retire.
Alchemite™ Analytics can be deployed in cloud, on site, or in combination, depending on customer needs.
Managed deployments are quick, secure and cost effective.
The latest milestone is the Alchemite™ 2023 Spring Release. It offers: optimised experimental design; a fast, iterative design workflow; and enhanced support for teams and the enterprise.
Previous release: Alchemite 2022 Autumn Release.