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.

Kunal Sandeep has over 10 years of industry experience in product development and management. He consulted with KPMG and managed product implementation across banking, telecom and insurance. He was the founder of several venture backed B2B & B2C companies.

Dr Abhijit Salvekar has a PhD in Material Science from NTU, with 160 citations and 3 patents. He has spent over 10 years as a polymer scientist at the National Chemical Laboratory (Pune), BASF and AGC. His expertise is in Process-Structure-Property Relationships and DoE, and he was nominated for Schmidt Science Fellows.