This case study explains how digital R&D accelerated solvent blend discovery for Showa Denko by reducing costly laboratory experimentation. Solvent blend development traditionally involves extensive synthesis and testing across numerous candidates to meet varied industry requirements. Using an AI‑driven approach, Citrine helped focus testing on blends most likely to satisfy downstream customer constraints while optimizing target properties. Within five months, more than 50 solvent blends met all end‑customer requirements, and over 150 improved blends were identified from a pool of more than 100 million candidates. The approach significantly accelerated innovation, improved performance, and reduced development time and effort.

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