Case Study: a leading chemical and plastic company increases customer responsiveness with Citrine Informatics

Leading Chemical and Plastic Company - Customer Case Study

A leading chemical and plastic company needed to respond to customer requirements more quickly and competitively. Its challenge was that expensive, time-consuming testing had left significant gaps in its material property data, making it difficult to know if existing products met new demands or if new formulations could be developed cost-effectively. To address this, the company partnered with Citrine Informatics to implement its specialized AI platform for materials data.

Citrine implemented its AI-driven formulation design workflow, which utilized its Graphical Expression of Materials Data (GEMD) model to capture rich context and integrate critical domain knowledge from experts. This allowed Citrine to build a model that accurately predicted missing properties for existing materials and for hypothetical new products. In a single-blind trial, the model predicted three key properties with less than 8% error, enabling the customer to rapidly identify promising recipes and drastically reduce the number of experiments needed, saving significant time and cost.