Polymerize Pte Ltd
Country Manager, Japan

Mr. Yamada Tomoya

Leveraging his experience in business management for the material sector, he led the establishment and expansion of the company’s Japan subsidiary. Previously, he headed a business division at 3M, contributing to revenue growth and improved customer satisfaction. He is currently driving the implementation and adoption of R&D digital transformation in Japan, centered on a SaaS platform that enables data- and AI-driven innovation in manufacturing.

The use of recycled raw materials presents challenges such as greater performance variability, increased evaluation workload, and unstable supply compared to virgin materials. This session introduces Polymerize’s data- and AI-driven approach that integrates raw material properties, formulations, process conditions, and product performance to visualize root causes of variation and identify optimal operating conditions. By leveraging Polymerize’s unique raw-material metadata framework, high-accuracy modeling becomes possible even with sparse experimental datasets, enabling reliable prediction and reverse-engineering of required properties. Practical case studies will demonstrate how this method stabilizes recycled-material performance, reduces trial-and-error cycles, and accelerates development efficiency.