AI startup company Copy will exhibit at the 36th Monozukuri World Tokyo.

Understanding the basis and risks of AI's judgments. Capable of learning from a small amount of data. Intuitive operation without the need for AI knowledge. Achieving continuous quality management that does not end with a PoC.

The practical "visual inspection AI" for manufacturing sites allows for high-precision learning and operation from a small amount of data with intuitive operation. It is a user-friendly and effective AI tool for site managers. Target Industries: Manufacturing (semiconductors, foundry, automotive, processed foods) / Chemicals / Pharmaceuticals Target Audience: - Production Management Department: Planning and managing production, improving production efficiency, reducing defective products - Production Technology Department: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies - Quality Control Department: Inspecting product quality, detecting and addressing defects, establishing quality assurance processes, confirming compliance with standards - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis - Companies that have already introduced image inspection machines and face challenges with over-detection Main Features: - Intuitive operation: No AI knowledge required. Easy from AI model creation to operation and quality management. - Learning from a small amount of data: Domain-specific data augmentation technology generates training data tailored to the on-site environment. - Quality management through visualization: XAI technology visualizes the reasoning behind AI decisions, making model improvement easier. - Quality verification for AI: QAAI enables quality verification of data and models, visualization, and management of change points.

• Visual Inspection Equipment

Significant efficiency improvements in manual processes with the help of AI! Analyzing work processes from videos of the manufacturing site.

What is Operator Analysis? Operator Analysis AI is an innovative tool that visualizes work on the manufacturing line in real-time and recorded footage, enabling efficient production processes. It can dramatically improve productivity and quality in manufacturing settings through accurate understanding of cycle times, optimization of process flows, improvement of work actions, optimization of personnel allocation, detection of work omissions, and estimation of work loads. Benefits of Work Analysis 1. Remarkable Efficiency - Eliminates waste through detailed analysis of work processes, significantly improving work efficiency. 2. Assurance of Top Quality - Reduces work omissions and errors through consistent procedures, dramatically enhancing product quality. 3. Improved Safety - Monitors work actions in real-time, allowing for early detection and correction of risky behaviors, thereby providing a safe working environment. 4. Cost Reduction - Reduces operational costs by eliminating unnecessary work and duplication, optimizing personnel and resources. Reasons to Choose Our Products We offer AI solutions specialized for the manufacturing industry, with extensive know-how and flexible customization options. We ensure transparency with XAI and QAAI technologies, achieving intuitive operability and rapid implementation. Our pre-validation minimizes risks and guarantees high implementation effectiveness.

• Image analysis software

Easy operation even for AI beginners! A next-generation AI platform that realizes factory automation and quality control.

This is an AI platform designed for the manufacturing industry. By using this tool, you can achieve factory automation and labor reduction, while also easily managing quality control. It supports tasks such as visual inspections and analysis of worker behavior with AI, assisting operations on the shop floor. Why it’s good: It offers intuitive operation that can be used without specialized AI knowledge. It can learn from a small amount of data, making implementation easy. Additionally, it incorporates the following advanced technologies: - XAI (Explainable AI): Clarifies the reasoning behind AI decisions, allowing users to understand AI behavior. - QAAI (Quality Assurance AI): Generates data and verifies quality while considering environmental changes and disturbances, providing a stable AI model. Why explainability and robust AI are necessary: In manufacturing environments, it is crucial to understand how AI makes decisions. XAI enhances reliability by making the reasoning behind AI decisions explicit, allowing for safe operation. Furthermore, QAAI provides a robust model capable of responding to disturbances and environmental changes, ensuring stable performance on the shop floor. *For more details, please refer to the "Related Catalog" and contact us.*

• Image analysis software

[Free Download] Includes Checklist: Guide to Utilizing IT Introduction Subsidies for AI Utilization

Utilize the free checklist to streamline the application process! This guide is an ideal resource for department heads and business owners who want to implement AI technology using IT introduction subsidies to reform their operations. By using detailed procedures, key points, and checklists, you can smoothly progress through the entire process from application to implementation and operation. Download this free guide now and take the first step towards business transformation with AI. 【Main Content and Features】 - Overview of subsidy utilization: The IT introduction subsidy supports a portion of the costs necessary for implementation, such as software purchases and cloud service usage fees. - Step-by-step application guide: Clearly explains the process from subsidy application to approval. A downloadable checklist helps prevent application mistakes. - Advantages and disadvantages of implementation: Discusses specific benefits of AI technology implementation and points to consider. - Specific information for target audiences: Content tailored for small and medium-sized enterprises in specific industries such as manufacturing, presenting the maximum subsidy rate and upper limit. - Target audience: Those involved in production management, quality control, and DX promotion in the manufacturing and logistics industries.

• Other inspection equipment and devices

[Lecturers] Daisuke Tateno, Partner, Arthur D. Little Japan K.K. Akihiro Nagayama, Principal [Key Lecture Content] Drones, AI, software, satellites, and electronic warfare are fundamentally changing the way wars are fought, and the defense industry is currently transitioning from a heavy and traditional model to one centered around AI, software, data, and unmanned systems. In the United States, emerging companies like Palantir and Anduril, which are software-driven, are challenging existing defense firms. In Japan, structural changes are beginning with the Defense Capability Development Plan, the Defense Industry Base Strengthening Act, and the entry of startups. This seminar will discuss the changes in the global security environment and industrial structure, the strategies of advanced players both domestically and internationally, and the areas where Japanese companies can succeed, including dual-use, collaboration with software companies, M&A and alliances, and talent strategies. We will consider how to view change not as a threat but as a growth opportunity, and how to construct a new Japanese defense industry from a management perspective.

[Speaker] Kazuki Miyamoto, Representative/Analyst, VentureClef, USA [Key Lecture Content] The frontier model in the United States is evolving at an unexpected speed. AI agents based on the frontier model have completely transformed business forms in companies. Chinese companies are developing large-scale open source projects, and their performance is approaching that of the U.S. model. Meanwhile, U.S. companies have begun developing open source, leading to a direct confrontation between the U.S. and China. The seminar will examine the frontier models of both countries and explain the latest technologies and important trends. It will organize points on how Japanese companies should perceive the U.S.-China AI development competition from technological and business perspectives. It will also consider strategies for companies to succeed in the AI era, including the differentiation between the U.S. and Chinese models, as well as the advantages and challenges of open source versus closed source. [Lecture Items] <1> Frontier Model (USA) <2> Frontier Model (China) <3> Technology Trends and AI Strategies for Japanese Companies <4> Q&A

[Speaker] Chief Expert Ji Hui, Future Creation Center, Nomura Research Institute, Inc. [Key Lecture Content] *We plan to update with the latest information based on field research as necessary.* At the World Artificial Intelligence Conference held in Shanghai in July 2026, Huawei unveiled its next-generation computing infrastructure products based on its proprietary AI chips, attracting significant attention. Amid ongoing U.S. export restrictions on advanced semiconductors, Huawei demonstrated its approach to overcoming the performance limits of standalone chips through "systems engineering," showcasing its commitment to leading the development of an autonomous AI ecosystem in China, encompassing computing infrastructure, cloud, OS, and AI models. Based on the latest field research results, this lecture will explain the latest trends in Huawei's AI strategy (computing infrastructure, AI models: AI social implementation, AI ecosystem, etc.) in the context of the overall landscape of China's AI industry. [Lecture Topics] 1. Current State of China's AI Industry 2. Progress in Domestic Production of Infrastructure 3. Huawei's Full-Stack AI Ecosystem 4. Future Prospects 5. Q&A

[Key Lecture Content] 1. Overview of the Law Amending Part of the Act on the Protection of Personal Information (Amendment of 2023) Kento Kido, Deputy Director, Personal Information Protection Commission 1. Background leading to the enactment of the amended law 2. Amendment Content [1] (Promotion of Proper Data Utilization) 3. Amendment Content [2] (Regulations Responding Appropriately to Risks) 4. Amendment Content [3] (Prevention of Improper Use, etc.) 5. Amendment Content [4] (Regulations to Ensure the Effectiveness of Compliance) 6. Towards the Implementation of the Amended Law (Status of Consideration for Ordinances, Regulations, Guidelines, etc.) 7. Q&A / Business Card Exchange 2. Key Points for Practical Response to the Implementation of the Amended Law Jun Okada, Partner Attorney, Mori Hamada & Matsumoto Law Firm 1. Overall Perspective on Practical Response Based on the Amended Law 2. Specific Discussion [1]: Statistical Exceptions and AI 3. Specific Discussion [2]: Handling of Children's Personal Information, etc. 4. Specific Discussion [3]: Administrative Fines 5. Specific Discussion [4]: Other Individual Issues 6. Timeline and To-Do List for Full Implementation 7. Q&A / Business Card Exchange

The ODU-MAC Silver-Line industrial automatic disconnect connector is widely adopted in various applications such as production equipment and medical devices, not only in the EU market but also in Japan. In this webinar, we will provide a detailed explanation of new products, including the P4+ frame with an increased floating width, the EBP module that accommodates fiber core misalignment, and the thermocouple module. We will also introduce improvements to the ODU-MAC/DOCK series catalog, which has become easier to use and select products from. We will explain everything clearly, making it accessible for both those who are already using the ODU-MAC/DOCK series and those who are interested but have not used it before, so please join us. ------------ Date: September 3, 2026 (Thursday) 14:00 - 14:35 Venue: Online (A URL for the venue will be sent via email after registration) Speakers: Masaru Kimura, Sales Manager, ODU Japan Co., Ltd. Miho Kato, Sales Department, Chemex ONE Co., Ltd. ------------