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Polymer companies spend over US$300 million annually towards formulation development. Primary ways of formulation still rely on trial and error methods which results in substandard products and delayed time-to-market. Polymerize is incorporating relationships between material structure, property and processes to create a Machine Learning driven formulation engine into the core of their product-life-cycle platform. This reduces experimentation in formulation development and fills in R&D gaps, accelerating time-to-market for new products to 1/3 of their usual duration and at almost 1/2 the cost.

Polymerize pitch at our SG7 Demo Day.