Introduction of product development examples utilizing AI [Polymerize case study]
Introducing a case where we successfully streamlined and shortened the development of high-performance elastomer seals using AI predictions! Minimizing the processes necessary to achieve development goals!
We would like to introduce a case where our customer in the elastomer seal product industry implemented "Polymerize." The company aimed to maximize the performance of elastomer seals at high temperatures while maintaining elongation at the breaking point and minimizing permanent compression strain. In the initial proof-of-concept process, we confirmed that the system could meet the desired performance in 4 out of 5 experiments proposed by the system. [Challenges] - Establishing the optimal combination of components and synthesis methods to ensure efficiency and quality. - Seeking an AI solution that supports the development of new products while minimizing setbacks from a trial-and-error development process. *For more details, please refer to the PDF document or feel free to contact us.
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【Main Achievements】 ■Reduced man-hours by 50% compared to the trial-and-error development process ■Discovered insights on optimal material combinations and formulations that can be utilized for future product development ■Significantly improved functionality of the final product *For more details, please refer to the PDF document or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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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.