Introduction of product development cases utilizing AI [Polymerize case study]
Introducing a successful case of streamlining and shortening 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 has implemented "Polymerize." The company aimed to maximize the performance of elastomer seals at high temperatures while maintaining elongation at the break point and minimizing compression set. In the initial proof-of-concept process, we confirmed that four out of the five experiments proposed by the system met the performance requirements of the customer. [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 for the chemical and materials industries. Our platform reflects the unique R&D processes and expertise of the chemical industry in its design, ensuring high predictive accuracy of AI even with limited or sparse data.