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Platform "Polymerize Labs"

We will bring innovation to the chemical and materials industries with an approach utilizing our proprietary AI technology.

"Polymerize Labs" is a platform equipped with unique data processing capabilities that can import various formats of spreadsheet data and is easy to implement. It features centralized data management and predictive capabilities powered by proprietary AI algorithms, allowing you to obtain proposals and analyses/insights related to experiments to achieve development goals. 【Features】 ■ Project management ■ Analysis of past experimental data ■ Data management ■ Experimental design methods ■ Result prediction using AI engines *For more details, please download the PDF or feel free to contact us.

Related Link - https://polymerize.jp/polymerize-labs/

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Applications/Examples of results

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Introduction of a case study on the efficiency and shortening of the development process for high-performance elastomer seals using AI predictions.

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Polymerization Comprehensive Service Guide

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Our company provides a materials informatics platform, PolymerizeLabs, and consulting services for the chemical and materials industries. PolymerizeLabs reflects the unique R&D processes and expertise specific to materials development, enabling seamless data management and AI utilization without the need for programming knowledge. It is the only all-in-one materials informatics platform in the industry that ensures AI prediction accuracy even with limited or sparse data. Based on a data management infrastructure specialized in organizing various materials development data and a highly flexible AI engine equipped with a diverse range of machine learning algorithms, we offer data-driven development processes across various materials fields. We contribute to addressing resource shortages, high cost structures, compliance with environmental regulations, alleviating supply chain bottlenecks, and responding quickly to market changes faced by all R&D departments, thereby enhancing corporate competitiveness and establishing a new standard for R&D processes in the AI era.