Announcement of RoboDex 2018 Participation - Introducing the New Collaborative Robot -

Pursuing high-speed operation! A compact robot that meets all needs in the production site at a reasonable price.

The "MZ07" by Nitto Seiko is a lightweight, compact robot that contributes to a significant increase in productivity due to its speed specifications, making it one of the fastest in the world. The risk of interference with peripheral wiring devices has been reduced, enhancing its applicability and making it easier to access narrow areas. In addition to standard specifications, it offers a wide range of applications to meet various needs in production environments, including visual specifications, additional axis specifications, and force sensor specifications. Moreover, the reasonable pricing of the main unit makes it easy to introduce. 【Features】 ■ High-speed operation ■ Hollow wrist for wiring routing ■ Extensive application compatibility ■ Packed with user-friendly features *For more details, please refer to the catalog or feel free to contact us.

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Productivity Boost! Introducing actual robot implementation cases for transportation, packaging, assembly, picking, and more.

Our company offers a variety of industrial robots, including those manufactured by NACHI, and we provide proposals for suitable automation systems tailored to the challenges faced on-site. Currently, we are giving away a "case study collection" of robot systems that have been implemented in production environments! You can view the on-site challenges and the effects of implementation. [Overview of Contents] (Please check from the download) ■ Automation robots for gear parts transportation and deburring ■ Automation robots for machinery parts transportation and cleaning ■ Automation robots for gear transportation and washing ■ Automation robots for picking and sorting forged parts into boxes ■ Automation robots for picking and aligning optical fine parts ■ Automation robots for aligning small parts and finished product trays ■ Automation robots for packing retort food ■ Automation robots for assembling bento containers ■ Automation robots for sorting and picking pharmaceutical packaging ■ Automation robots for picking and palletizing pharmaceutical molds

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We introduce a comprehensive lineup of various handling robots, from scalar robots to heavy load transportation, including palletizing, arc welding, and spot welding.

【Overview of Publication】 (Please refer to the download) ■ Wing slicer type robot (scara robot) ■ Compact high-speed handling robot (capable of carrying 3kg to 7kg) ■ Powerful & compact multipurpose robot (capable of carrying 10kg to 70kg) ■ 7-axis robot (capable of carrying 20kg to 50kg) ■ Heavy-duty robot (capable of carrying 280kg to 700kg) ■ Palletizing robot ■ Cleanroom operation robot (for LCD and glass transport) ■ Spot welding robot ■ Arc welding robot ■ Controller & software

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We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step Towards In-House DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize items currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Is the performance report you are currently creating, which takes a tremendous amount of time and effort, appreciated by the management? Are you facing complaints from management such as: - The reports are coming out late (results from the previous month are reported around the 20th of the current month) - The reports are difficult to understand and hard to read - There is missing necessary information In this seminar, we will introduce a new system for managing performance information that addresses these issues, along with specific methods. The cost is free. We encourage you to participate. □ Seminar Content 1. What is performance improvement? 2. What information is useful for performance improvement? 3. How to view performance information 4. A system for automatically generating performance information and accessing necessary information when needed (Using our company's developed performance information management tool as a model)

Holding a management strategy seminar to "embed" generative AI and connect it to organizational outcomes! Are you facing challenges such as "not knowing how to use it," "lack of progress in utilization," or "not being embedded due to organizational rules and management" while advancing AI implementation? In this seminar, we will thoroughly explain the secrets to realizing an organization where AI operates autonomously, drawing from the generative AI training of Panhouse Co., Ltd. and the management methods of Shikigaku Co., Ltd. In particular, we will share specific case studies of the "Agent Model AI," which is gaining attention as a next-generation AI application, along with organizational design know-how for integrating generative AI into business, management pitfalls that hinder embedding, and their solutions, all accompanied by concrete examples. What you can learn in this seminar: - Experiences and case studies of Agent Model AI (exabase generative AI demo) - Initial preparations and design know-how to accelerate AI utilization - Key management points to break down organizational barriers that hinder AI embedding If you are in management or responsible for ensuring that generative AI becomes a "truly usable" system rather than just "trying it out," we encourage you to participate in this opportunity.

We are pleased to announce that Pan House Co., Ltd. will be participating in the online marketing conference "Data Driven Marketing 2026," which will be held from January 14 (Wednesday) to 16 (Friday), 2026. At this event, where professionals achieving results at the forefront will gather, our Chief Integration Officer, Tsubasa Kimura, will explain the new organizational approaches utilizing AI. Organizational Theory for "Maximum Effect with Minimal Effort" in the AI Era As AI technology rapidly evolves and the marketing environment changes significantly due to cookie regulations, relying on "past success experiences" and "intuition and experience" is reaching its limits. In this session, we will focus on how to utilize AI not just as a tool, but as a strategic infrastructure to build competitive advantages for organizations. We will discuss specific examples and methods on how to maximize the efficiency of marketing operations and establish an organizational structure that leads to results with minimal effort.

"Where should we start with AI implementation, and how can we expand it company-wide?" The reason for the slow progress in AI implementation is not the tools themselves. The key lies in project design that encompasses everything from creating guidelines to establishing a promotion system and turning success stories into models. In this webinar, we will systematically explain the types of AI implementation projects that successful companies practice to overcome the "zero-to-one barrier" and the "utilization promotion barrier." Both companies that have not yet implemented AI and those that are stagnating in their utilization will gain clarity on their respective starting points and take home actionable "answers at the action level" that can be executed starting tomorrow in just 60 minutes. Recommended for those facing the following challenges: This webinar is ideal for individuals in departments at the level of section chief or higher who want to promote AI implementation as a project. Companies that do not know how to "start" AI implementation (zero-to-one stage) Companies that have implemented generative AI but are experiencing stagnation in its utilization Companies lacking a driving force or where the initiative is not moving forward, struggling with individualization and the lack of established training Companies that are looking to expand company-wide but are unclear on how to horizontally deploy Companies considering the introduction of AI training (especially in the pre-approval stage)