Frontline of AI Utilization in 'Materials, Components, and Parts,' Japan's Industrial Survival Condition! AI-DATA Inc. Reports on 'AI Agent x AX Forum ~Material~'
AI-DATA Inc. has released a report on the 'AI Agent x AX Forum ~Material~' held on April 17. The forum discussed the direction of resource security and AI-driven material development to strengthen the competitiveness of Japan's materials industry.
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- 📰 Published: May 14, 2026 at 02:00
- 🔍 Collected: May 13, 2026 at 17:32
- 🤖 AI Analyzed: May 13, 2026 at 20:21 (2h 48m after Collected)
AI-DATA Inc. (Headquarters: Minato-ku, Tokyo; President: Takahito Sasaki), a company specializing in the utilization of corporate data and AI, held the 'AI Agent x AX Forum' content on April 17, focusing on AI utilization and AX in the 'Materials (raw materials, components, parts) Industry,' one of the 17 critical fields strategically promoted by the government.
**Session 1**
**"An Era Where Nations That Can Secure Resources Win, Not Nations That Have Resources: The 'Resource Security x Supply Chain Staff OS' National Concept" / Takahito Sasaki, CEO of AOS Group**
Mr. Sasaki pointed out that we have entered an era where 'resources,' the foundation of all industries such as semiconductors, EVs, defense, and renewable energy, determine national competitiveness. He explained that nations that can continuously secure and control not just the possession of resources but also procurement, processing, intellectual property, logistics, and manufacturing will gain an advantage. He analyzed that while Japan has strengths in the materials and parts fields, it lacks a comprehensive supply chain visualization and decision-making infrastructure. As a solution, he proposed the 'Resource Security x Supply Chain Staff OS' concept, appealing for the necessity to redesign industrial competitiveness at a national level through AI-driven supply-demand analysis, risk prediction, and integration of IP and procurement information.
**Session 2**
**"Issues and Future Potential of Material Informatics/Chemoinformatics from a Researcher's Perspective" / Dr. Hiroyuki Teramae, Academic Advisor at X-ability Co., Ltd. (Former Professor at Josai University, Ph.D. in Engineering)**
Dr. Teramae explained the current challenges and future potential of Material Informatics (MI) and Chemoinformatics from a researcher's standpoint. He pointed out that while expectations for material development using AI and data analysis technologies have been rising, many challenges exist in practice, such as variations in data quality, differences in experimental conditions, and a lack of research data. He stated that simply introducing AI does not lead to results; it is essential to prepare data suitable for the research site and integrate it with domain knowledge. He also showed the possibility of accelerating new material discovery and research efficiency through collaboration between researchers and data scientists, indicating a direction for AI utilization in Japan's material research.
**Session 3**
**"Redesigning Japan's Resource Security with a 2-Layer Model of AI Materials on IDX for Internal Integration and Tokkyo.AI for External Competition, and 7 AI Staff Officers" / Daisuke Shida, CTO of AI-DATA Inc.**
Mr. Shida explained the concept of redesigning Japan's resource security with a '2-layer model' combining AI Materials on IDX and Tokkyo.AI. He presented a mechanism that optimizes the entire company by integrating research, manufacturing, quality, and procurement data internally with AI Materials on IDX, while strengthening intellectual property strategy for external competition using Tokkyo.AI. He also introduced the concept of '7 AI Staff Officers' to support decision-making from multiple perspectives such as procurement, R&D, IP, and risk analysis, emphasizing the need to utilize AI not just as an efficiency tool but as a strategic foundation supporting national competitiveness.
**Session 4**
**"Examples and Success Methods for Building a Self-Sustaining Ecosystem in the Computational Chemistry Software Industry, Also Utilized for Data Creation in Materials Informatics (MI)" / Ryota Koga, President & Co-founder of X-ability Co., Ltd.**
Mr. Koga introduced efforts to build an ecosystem in the computational chemistry software industry. He explained that high-quality data generation is crucial in Materials Informatics (MI), and computational chemistry is utilized as its foundational technology. He shared case studies of forming a self-sustaining ecosystem through collaboration among research institutions, companies, and software vendors, going beyond merely providing tools. He also pointed out that building user communities, technical support, and educational systems are key to widespread adoption, presenting the potential for next-generation material development that fuses data and simulation.
**Session 5**
**"Material Design in the Age of Generative AI" / Isamu Shigemo, Chief Engineer, Technology and Innovation Center, Daikin Industries, Ltd.**
Mr. Shigemo explained the changes and possibilities in material design in the age of generative AI. While traditional material development heavily relied on researchers' experience and trial and error, he...
**Session 1**
**"An Era Where Nations That Can Secure Resources Win, Not Nations That Have Resources: The 'Resource Security x Supply Chain Staff OS' National Concept" / Takahito Sasaki, CEO of AOS Group**
Mr. Sasaki pointed out that we have entered an era where 'resources,' the foundation of all industries such as semiconductors, EVs, defense, and renewable energy, determine national competitiveness. He explained that nations that can continuously secure and control not just the possession of resources but also procurement, processing, intellectual property, logistics, and manufacturing will gain an advantage. He analyzed that while Japan has strengths in the materials and parts fields, it lacks a comprehensive supply chain visualization and decision-making infrastructure. As a solution, he proposed the 'Resource Security x Supply Chain Staff OS' concept, appealing for the necessity to redesign industrial competitiveness at a national level through AI-driven supply-demand analysis, risk prediction, and integration of IP and procurement information.
**Session 2**
**"Issues and Future Potential of Material Informatics/Chemoinformatics from a Researcher's Perspective" / Dr. Hiroyuki Teramae, Academic Advisor at X-ability Co., Ltd. (Former Professor at Josai University, Ph.D. in Engineering)**
Dr. Teramae explained the current challenges and future potential of Material Informatics (MI) and Chemoinformatics from a researcher's standpoint. He pointed out that while expectations for material development using AI and data analysis technologies have been rising, many challenges exist in practice, such as variations in data quality, differences in experimental conditions, and a lack of research data. He stated that simply introducing AI does not lead to results; it is essential to prepare data suitable for the research site and integrate it with domain knowledge. He also showed the possibility of accelerating new material discovery and research efficiency through collaboration between researchers and data scientists, indicating a direction for AI utilization in Japan's material research.
**Session 3**
**"Redesigning Japan's Resource Security with a 2-Layer Model of AI Materials on IDX for Internal Integration and Tokkyo.AI for External Competition, and 7 AI Staff Officers" / Daisuke Shida, CTO of AI-DATA Inc.**
Mr. Shida explained the concept of redesigning Japan's resource security with a '2-layer model' combining AI Materials on IDX and Tokkyo.AI. He presented a mechanism that optimizes the entire company by integrating research, manufacturing, quality, and procurement data internally with AI Materials on IDX, while strengthening intellectual property strategy for external competition using Tokkyo.AI. He also introduced the concept of '7 AI Staff Officers' to support decision-making from multiple perspectives such as procurement, R&D, IP, and risk analysis, emphasizing the need to utilize AI not just as an efficiency tool but as a strategic foundation supporting national competitiveness.
**Session 4**
**"Examples and Success Methods for Building a Self-Sustaining Ecosystem in the Computational Chemistry Software Industry, Also Utilized for Data Creation in Materials Informatics (MI)" / Ryota Koga, President & Co-founder of X-ability Co., Ltd.**
Mr. Koga introduced efforts to build an ecosystem in the computational chemistry software industry. He explained that high-quality data generation is crucial in Materials Informatics (MI), and computational chemistry is utilized as its foundational technology. He shared case studies of forming a self-sustaining ecosystem through collaboration among research institutions, companies, and software vendors, going beyond merely providing tools. He also pointed out that building user communities, technical support, and educational systems are key to widespread adoption, presenting the potential for next-generation material development that fuses data and simulation.
**Session 5**
**"Material Design in the Age of Generative AI" / Isamu Shigemo, Chief Engineer, Technology and Innovation Center, Daikin Industries, Ltd.**
Mr. Shigemo explained the changes and possibilities in material design in the age of generative AI. While traditional material development heavily relied on researchers' experience and trial and error, he...