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  3. コーピー 本社
  4. [News] Startup Copy, aiming to realize mission-critical AI, begins business partnership with SIG Group, from the University of Tokyo and French Inria.
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  • Jul 29, 2024
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Jul 29, 2024

[News] Startup Copy, aiming to realize mission-critical AI, begins business partnership with SIG Group, from the University of Tokyo and French Inria.

コーピー コーピー 本社
Corpy & Co., Inc. (Headquarters: Chiyoda-ku, Tokyo, Representative Director: Kohei Yamamoto, hereinafter referred to as "Corpy") supports the realization of mission-critical AI with XAI & QAAI technology and announces a business partnership with SIG Group, Inc. (Headquarters: Chiyoda-ku, Tokyo, President: Junsei Ishikawa, hereinafter referred to as "SIG Group") to assist customer companies in their business transformation using AI. For more details, please refer to the "Related Links." <About Corpy & Co., Inc.> - Company Name: Corpy & Co., Inc. - Website: https://corpy.co.jp/ - Representative Director: Kohei Yamamoto - Established: March 2017 - Headquarters: 1-44-11 Kanda Jinbocho, Chiyoda-ku, Tokyo <About SIG Group, Inc.> - Company Name: SIG Group, Inc. (TSE Standard [4386]) - Website: https://www.sig-group.co.jp/ - President: Junsei Ishikawa - Established: December 16, 1991 - Headquarters: 8F Ichigaya Square Building, 4-2-1 Kudankita, Chiyoda-ku, Tokyo
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Announcement of the conclusion of a business partnership agreement with the advanced AI development startup Corpie, originating from the University of Tokyo and the French research institute, and the establishment of our AI strategy group
Corpie's mission-critical AI startup, originating from the University of Tokyo and French Inria, begins business partnership with SIG Group

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For the manufacturing industry: One-stop AI solution (XAI/QAAI)

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.*

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【品質管理者向け】判断根拠を理解。少量から学習可能な外観検査AI.jpg

[For Quality Managers] Understanding the Basis for Judgment. Appearance Inspection AI that can learn from small amounts of data.

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.

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【【品質管理者向け】AIによる外観検査とデータ管理ソリューション.jpg

AI-Based Visual Inspection and Data Management Solutions for Quality Managers

Attention: Improve work efficiency with the automation of image inspection! Easily and high-quality implement good product detection and defective product image generation with AI that provides understandable reasoning.

This is an AI solution designed for the manufacturing industry. It dramatically improves the automation of factory inspection tasks, enhances work efficiency, and increases the accuracy of quality control. It centralizes the generation and management of NG (non-good) data, streamlining the creation and management of AI training data. Additionally, it standardizes the skills required for inspection tasks, achieving skill-less operation. Key Features: - Intuitive operation: No need for AI expertise, easily operable by anyone. - Learning with a small amount of data: Efficient learning enables the quick construction of high-precision models. - Visualization of decision-making rationale: XAI technology clarifies the rationale behind AI decisions, enhancing reliability. - Generation and management of defective product data: Reduces the burden of data collection and optimizes quality control. Target Audience: - Production Management Department: Planning and managing production schedules, improving production efficiency, reducing defective products. - Producers: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies. - Quality Control Department: Conducting product quality inspections, detecting and addressing defective products, 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 are facing issues with over-detection. *Please contact us for more information.

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【【現場管理者向け】映像から作業工程を分析・可視化:作業者解析AI.jpg

[For Site Managers] Analyze and Visualize Work Processes from Video: Worker Analysis AI

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.

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Please let us know your concerns regarding leaks. We may have some suggestions for you. Leak tests, leakage tests, leak inspections, leak detection, container integrity tests, packaging integrity tests...

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Fukuda Corporation has been pursuing leak detection for 60 years and is dedicated to advancing the future of leak testing. 【 Supporting Various Leak Tests: Air Leak Test / Gas Leak Test (Hydrogen Gas, Helium Gas) 】 We develop, manufacture, and sell leak testing equipment to inspect airtightness and sealing performance. We will propose suitable testers and devices for each inspection target. 【 Target Industries and Examples of Inspection Targets 】 - Automotive Industry: Engines, FC components, valves and piping, various parts - Electronic Components Industry: Smartphones, keyless switches, various small sensors - Pharmaceuticals / Food / Cosmetics Industry: Bottle containers, syringes, vials, eye drop containers, pillow packaging, PTP packaging We will propose the most suitable leak testers for each industry. 【 ISO Certification 】JIS Q 9001:2015 (ISO 9001:2015)

Aug 21, 2026

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Fukuda's Technology Column

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This is a collection of links to Fukuda's technical columns. It covers various topics related to leak tests and more... Please check the related links for more information.

Aug 21, 2026

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Hyper CLT flooring panel

Utilized for temporary roads on slopes | Wood CLT "Hyper CLT Paving Slabs"

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In civil engineering sites such as mountainous areas and construction sites, it may be necessary to use wooden boards on slopes or inclined access roads. Hyper CLT boards are civil engineering materials utilizing wood CLT, which can be laid not only on flat ground but also on sloped terrain. They can be used for temporary roads, access routes, heavy machinery entry paths, and measures against muddy conditions, creating a driving environment that takes advantage of the unique surface characteristics of wood. The 5×10 board weighs approximately 230 kg, and the 5×20 board weighs about 460 kg, making them lightweight and easy to install and remove even with small machinery, which is a notable feature for maneuverability in narrow sites. This wooden board is registered as a technology under the Ministry of Land, Infrastructure, Transport and Tourism's NETIS system as "TH-250021-A," and can also be utilized for safety measures and innovative ideas in public works.

Aug 21, 2026

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Metal Crack Repair: MS Method for Repairing Cracks and Fractures in Machinery Equipment

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Metal cracks are one of the concerns in equipment maintenance operations. Repairs using conventional welding methods can alter the base material around the crack due to heat, leading to residual stress and deformation, which always carries the risk of "crack recurrence" or "secondary damage." Hinode Waterworks Equipment Co., Ltd.'s "Mechanical Stitching Method" is a new technique that allows for the repair of metal cracks without applying heat. By using special bolts and reinforcement plates, the crack is physically removed without affecting the base material with heat. Repairs can be performed even in environments where open flames cannot be used. Since no heat is applied, the disassembly of equipment is minimized. For more details, please contact us or download the catalog.

Aug 21, 2026

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Casting sand mold 3D printer prototype production

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● The production time for cast prototypes can be shortened! Since model making is not required, the production time for prototypes, which previously took about a month, can be significantly reduced. ● Model costs can be reduced! By directly producing sand molds from 3D data, there is no need for model production costs. If changes to the model are necessary, they can be addressed by modifying the 3D data. ● Similar products with different shapes and dimensions can be prototyped simultaneously! Different products, such as similar shapes or varying dimensions, can be molded at the same time in one molding process. This allows for the verification of multiple types in a short period.

Aug 21, 2026

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