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  3. POLYMERIZE ポリマライズ日本法人
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POLYMERIZE ポリマライズ日本法人

EstablishmentMay 2023
addressTokyo/Minato-ku/11th Floor, KDX Toranomon 1-Chome Building, 1-10-5 Toranomon
phone03-4400-4326
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last updated:Sep 30, 2025
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Integrated Materials Informatics Platform Integrated Materials Informatics Platform
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[White Paper Available] Data Strategy and Its Implementation for MI Utilization

How can we overcome the barriers to utilizing MI that are often encountered on-site?

This document discusses "Data Strategies and Practices for MI Utilization." In this article, we organize the challenges related to data in MI utilization and explain specific data strategies and practical approaches to overcome them. Additionally, we introduce the challenges in new material development and Polymerize's solution, "Polymerize One." Please take a look. [Contents] ■ Introduction ■ Importance and Challenges of Data in MI Utilization ■ Data Strategies to Overcome Data Shortages ■ Challenges in New Material Development and Polymerize's Solution "Polymerize One" *For more details, please download the PDF or feel free to contact us.

  • Database
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Material Development Support Service "Polymerize One"

Consistently carry out data generation, AI model construction, and validation experiments! It is possible to shorten the lead time for efficient material development and market introduction.

"Polymerize One" is an all-in-one material development support service that combines three elements: the MI platform, prototype and testing outsourcing, and professional support. 【Do you have any of these concerns in new material development?】 ■ Lack of experimental data ■ Insufficient environment and capacity for in-house prototyping and testing ■ Wanting to advance development to a higher upstream level to achieve breakthroughs in product performance (for example, aiming for optimization at the synthesis level rather than just formulation), but lacking the equipment capabilities in-house. *For more details, please download the PDF or feel free to contact us.

  • Technology Development
  • Prototype Services
  • Material Evaluation Test

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Integrated Materials Informatics Platform

By leveraging the formulations and material properties simulated by AI, we achieve a reduction in overall research and development costs and a shortening of time-to-market lead times.

"Polymerize Labs" is an all-in-one materials informatics platform designed by professionals in material development, enabling seamless data management and AI utilization without the need for programming knowledge. 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, it provides a data-driven development process across various materials fields. It addresses the resource shortages, high-cost structures, environmental regulation compliance, resolution of supply chain bottlenecks, and the need for rapid responses to market changes faced by various research and development departments, contributing to enhanced corporate competitiveness and establishing a new standard for research and development processes in the AI era. 【Features】 ■ Centralized management of experimental and materials data ■ Extraction of important features and variables with no-code AI ■ Data expansion for additional learning and experimental planning based on AI predictions ■ Prediction of properties and recommended experimental conditions by AI *For more details, please download the PDF or feel free to contact us.

  • Integrated operation management

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Data management and AI engine research and development at Polymerize Labs.

Polymerize Labs has achieved a reduction of the formulation development period to one-third and has cut research and development costs by over 40%.

"Polymerize Labs" is an all-in-one materials informatics platform designed by professionals in material development, enabling seamless data management and AI utilization without the need for programming knowledge. 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, it provides a data-driven development process across various materials fields. It addresses resource shortages, high-cost structures, compliance with environmental regulations, alleviation of supply chain bottlenecks, and rapid responses to market changes faced by various research and development departments, contributing to enhanced corporate competitiveness and establishing a new standard for research and development processes in the AI era. 【Features】 ■ Centralized management of experimental and materials data ■ Extraction of important features and variables using no-code AI ■ Data expansion for additional learning and experimental planning based on AI predictions ■ Prediction of properties and recommended experimental conditions by AI *For more details, please download the PDF or feel free to contact us.

  • Integrated operation management

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Reduce man-hours by 50% compared to the trial-and-error development process.

A must-see for companies that want to develop new products while minimizing setbacks through a trial-and-error development process!

We would like to introduce a case study of a customer in the elastomer seal product industry who has implemented "Polymerize." 【Customer Company Overview】 ■ Number of Employees: 100-1000 ■ Main Products: Seal Manufacturing (Elastomers) ■ Location: Japan, USA 【Challenges】 In recent years, there has been a strong trend for seal products to be used in various harsh environments. From high-temperature and high-pressure steam and acidic gas environments in the oil refining process to plasma processes in the semiconductor industry, the demands for mechanical performance of seal products have increased. The performance of the product is greatly influenced by the component ratios and formulations during compounding. In this case study, the customer aimed to maximize the performance of elastomer seals at high temperatures while maintaining elongation at the break point and minimizing compression set. After a standard three-month trial, the customer experimentally introduced Polymerize. *For more details on solving challenges, please download the catalog or feel free to contact us.

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Case study on the efficiency improvement of the high-performance elastomer seal development process using AI predictions.

To maximize the performance of the elastomer seal at high temperatures, I want to minimize the compression set while maintaining elongation at the breaking point.

We would like to introduce a case study of a customer in the elastomer seal product industry who has implemented "Polymerize." 【Customer Company Overview】 ■ Number of Employees: 100-1000 ■ Main Products: Seal Manufacturing (Elastomers) ■ Location: Japan, USA 【Challenges】 In recent years, there has been a strong trend for seal products to be used in various harsh environments. From high-temperature, high-pressure steam and acidic gas environments in oil refining processes to plasma processes in the semiconductor industry, the mechanical performance requirements for seal products have increased. The performance of the product is greatly influenced by the component ratios and formulations during compounding. In this case study, the customer aimed to maximize the performance of elastomer seals at high temperatures while maintaining elongation at the break point and minimizing compression set. After a standard three-month trial, the customer experimentally introduced Polymerize. *For details on solving challenges, please download the catalog or feel free to contact us.

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Polymerize Labs

Revolutionize material development with AI! Integrated Materials Informatics Platform.

"Polymerize Labs" is an all-in-one materials informatics platform designed by professionals in materials development, enabling seamless data management and AI utilization without the need for programming knowledge. Based on a data management infrastructure specialized in organizing various materials development data and a highly flexible AI engine equipped with a wide range of machine learning algorithms, it provides data-driven development processes across various materials fields. It addresses resource shortages, high-cost structures, compliance with environmental regulations, alleviation of supply chain bottlenecks, and rapid responses to market changes faced by various research and development departments, contributing to enhanced corporate competitiveness and establishing a new standard for research and development processes in the AI era. [Features] ■ Centralized management of experimental and materials data ■ Extraction of important features and variables using no-code AI ■ Data expansion for additional learning and experimental planning based on AI predictions ■ Prediction of properties and recommended experimental conditions by AI *For more details, please download the PDF or feel free to contact us.

  • Integrated operation management

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What is Materials Informatics (MI)? *Material development with AI

We will introduce a case study of successfully streamlining and shortening the development of high-performance elastomer seals using AI predictions. *Case study materials are currently available for download from the catalog!

Materials Informatics is a data-driven approach that uses various informatics techniques, such as statistical analysis, experimental design, computational science, and artificial intelligence, to accelerate innovation and product development processes. The materials industry requires digitization not only to manage previous experimental data but also to use past datasets for feature extraction, understand the key factors that influence the results in developing new materials, predict functional properties, and optimize compositions. Customers utilizing our cloud-based Materials Informatics platform, "Polymerize Labs," have achieved a reduction in new product development time by one-third and a 40% decrease in development costs. **Features of Polymerize Labs** - Project management - Analysis of past experimental data - Data management - Experimental design - Result prediction using AI engines *For more details, please download the PDF (case study) or feel free to contact us.*

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We are currently offering a case study on the efficiency improvement of the product development process using AI predictions!

Introducing a case study of successful efficiency and shortening in the development of high-performance elastomer seals using AI predictions, with a focus on minimizing the processes necessary to achieve development goals.

The cloud-based materials informatics platform "Polymerize" is equipped with unique data processing capabilities, allowing it to import spreadsheet data in any format, making it easy to implement. It features centralized data management and predictive capabilities powered by proprietary AI algorithms, enabling users to obtain suggestions, analyses, and insights related to experiments to achieve development goals. 【Features】 ■ Project management ■ Analysis of past experimental data ■ Data management ■ Experimental design ■ Result prediction using AI engines *For more details, please download the PDF (case study materials) or feel free to contact us.

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Three reasons why data management is important in a chemical company.

Here are three reasons that emphasize the importance of data management in the chemical industry!

In a digital-first world, data is a valuable asset. By accessing relevant data, organizations can minimize potential errors, establish provisional processes, and respond efficiently to market fluctuations. First, it is necessary to learn about efficient data organization and understand best practices in research data management. Modern life sciences companies are beginning to leverage technology for experimental data management. *For more details, you can view the related links. Please feel free to contact us for more information.*

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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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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.

  • Process Control System

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