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Website: https://polymerize.io

Contact person: Anri Uozumi

Contact: +65 8803 5383

Email: anri.uozumia@polymerize.io

Polymerize is a cloud-based Material Informatics Platform headquartered in Singapore, with offices in Japan, South Korea, and China. They were founded with the purpose of helping researchers achieve their formulation goals in a seamless and scalable way, using the power of artificial intelligence, machine learning, and best-in-class data management interface. Polymerize is used by corporations, universities, and research institutes globally.

Currently, their clientele includes major global chemical and manufacturing companies based in industrial hubs such as Japan, Germany and the United States. Key sectors include automotive, adhesives, paints and coatings, specialty chemicals and packaging. In the past few years, they've successfully helped clients reduce their development time with their AI predictions, significantly increasing the speed of a product's go-to-market.

Accelerating materials research 10X

By utilising over 35 proprietary AI models, their Material Informatics Platform aids in recipe development and process optimisation, accelerating research & development. By predicting formulations and materials properties, research becomes more predictable and sustainable. When research pipelines are optimised, it significantly increases the speed of a product’s go-to-market. When products that are more sustainable and affordable are given to consumers at a faster pace, it accelerates technological progress on a global scale.

Optimising the research lifecycle

Replace traditional trial-and-error methodologies with AI-driven decision-making based on desired properties of high performing materials. By harnessing the power of machine learning, they can optimise the research lifecycle. Researchers are less reliant on conventional methodologies as we transition research to be completely data-driven. This results in predictable operations, accurate forecasting, and scalable innovation across organisations of any size.

LAST UPDATED: 24 FEB 2025

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