Alchemite™ is ideal for tackling R&D and manufacturing challenges in fast-moving consumer goods and foods, where there is often a need to develop formulations or packaging solutions rapidly, responding to market dynamics or regulatory changes.
With Alchemite™, customers in these sectors can learn from their R&D and process data, generating powerful machine learning models that can then be applied to:
- Investigate new formulations, finding improved solutions while cutting time to market
- Efficiently design experiments, focusing on the most productive routes to reduce workloads by 50-80%
- Extract maximum value from data, identifying hidden relationships and generating breakthrough insights.
White paper: Machine learning for adaptive experimental design
Case study: Yili
At global dairy products leader, Yili, machine learning was able to provide valuable insights into the behaviour of cream formulations over time. Yili was able to remove some ingredients from consideration, speeding up development, and the the project identified useful cross-correlations enabling prediction of likely behaviour in later months from earlier test results.
Alchemite™ for formulations
Alchemite™ puts you on the fast track to optimising formulated products such as foods, flavourings, cosmetics, and personal care products. Formulation scientists can rapidly test out new ideas and gain breakthrough insights from their data. Experimentalists can find and explore new combinations while dramatically reducing the number of experiments needed. Apply the power of machine learning through desktop software that is quick to learn and easy to use.
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 experimental time by up to 80%. No lengthy training courses, no need for advanced statistics, and no coding required.
