Case Study: Domino achieves faster ink formulation and reduced lab experiments with Intellegens Alchemite™

Machine learning for virtual experiments - ink formulation

Domino, the printing and coding specialist, needed a better way to develop new ink formulations using sparse historical R&D data, especially when lab access was limited during the COVID-19 pandemic. The company wanted to replace ingredients that were no longer suitable or available while still meeting strict formulation targets. Intellegens provided its Alchemite™ machine learning platform to help Domino make sense of the existing data and guide virtual experiments.

Using Intellegens’ Alchemite™, Domino built models across multiple ink colors and 28 formulation properties, then ran two rounds of formulation design. The system proposed six formulations in each round, several of which were physically tested and validated as highly accurate, with target properties achieved for most outputs. Intellegens helped Domino reduce ink formulation timescales from months to minutes, improve use of limited lab capacity, and identify relationships between variables that supported future formulation work.

Domino

Andrew Clifton

Director of Marking Materials and Test Engineering Team