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addressKyoto/Kamigyo-ku, Kyoto-shi/97 Kai-mori Town, Nishijin Industrial Creation Hall 109
phone050-5794-2352
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last updated:Sep 07, 2026
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導入事例 導入事例
ARCHAIVE ARCHAIVE
導入事例

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当社で取り扱っている製品の導入事例をご紹介します。

[ARCHAIVE Implementation Case] Suenami Industrial Co., Ltd.

Introducing a case where business operations were accelerated using AI estimation for a large number of drawings and AI agent functions!

We would like to introduce a case where Suenami Industrial Co., Ltd. implemented our drawing management AI "ARCHAIVE." The biggest challenge was the complexity and personalization of the estimation process. Manual estimation took a lot of time, making it difficult to respond quickly. Additionally, AI-generated estimates still required human checks in the end. After implementation, the ability to process numerous drawings in bulk and output rough estimates in CSV format has streamlined operations. AI has started to support the complex estimation tasks. [Background and Key Factors for Implementing ARCHAIVE] - The potential for AI to approximate our unique calculation methods - Flexibility in development and quick response times - Frequent updates twice a month based on user feedback *For more details, please download the PDF or feel free to contact us.

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[ARCHAIVE Implementation Case] AMCI Corporation

Reducing the management burden of paper drawings! Introducing a case where an environment was created that anyone can use with a click-based search!

We would like to introduce a case where our drawing management AI "ARCHAIVE" was implemented at AMCI Co., Ltd. The biggest challenge was the personalization of drawing management. We were organizing paper drawings alphabetically by company name, but it was common for them not to be returned to their original places after use or to be placed in the wrong locations. After implementation, drawings can be searched with just click operations without any text input, making it easy for employees who are not familiar with computer operations to use it immediately. This has allowed for a division of labor between office staff and workers, leading to an overall increase in operational efficiency. [Background and deciding factors for the introduction of ARCHAIVE] - The initial cost was reasonable. - Flexible customization options. - Aiming for a total solution. *For more details, please download the PDF or feel free to contact us.

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[ARCHAIVE Implementation Case] Cross Tech Co., Ltd.

Significant reduction in estimate, delivery note creation, and invoicing tasks! Introducing a case that prevented a 40% opportunity loss per project!

We would like to introduce a case where our drawing management AI "ARCHAIVE" was implemented at Cross Tech Co., Ltd. Before the implementation, the management of drawings and projects was personalized, making it difficult for others to understand which project a quote pertained to, and the processing methods were unclear. After the implementation, a lot of information can be checked immediately, allowing even clerical staff to easily look up drawings. Through integrated project management, a sustainable production system has been established. [Case Overview] ■ Challenges before implementation: Personalization of drawing and project management ■ Effects after implementation: Significant reduction in the creation of quotes, delivery notes, and invoicing through project management based on drawings *For more details, please download the PDF or feel free to contact us.

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AI Similar Drawing Search for Faster Reuse Design for the Design Department

Even if you don't know the drawing number, you can go from the punch drawing to similar drawings. DR minutes and past trouble records will also come up together.

"I drew similar parts before, but I don't know the drawing number." "The person in charge who knew the background of the design change has transferred." Are you spending time searching for drawings for such reasons and not redrawing from scratch? ARCHAIVE is an AI that reads drawings as three-dimensional "objects." It analyzes shapes to identify features like holes, pockets, and bends, and searches for similar drawings with related meanings. Additionally, it automatically links specifications, DR meeting minutes, and defect reports to the same drawing using the part number as a key. You can even verify the basis for design decisions in the context of reused designs. 【Use Cases】 - Searching for similar drawings to serve as a base for reused or derived designs. - In conceptual design, referencing past successful shapes from hand-drawn sketches. - During design changes, confirming the differences and reasons for changes compared to the old version. - Before checking drawings or DR, reviewing past trouble reports and countermeasures for similar shapes. - Allowing younger designers to progress with their designs while considering the deliberations of veterans. 【Benefits of Implementation】 - Reducing the time spent searching for drawings from 30 minutes to 1-5 minutes. - Finding reusable drawings, which decreases duplicate drafting. - Reducing the oversight of past issues, thereby minimizing rework after drawings are issued. - Preventing design know-how from being concentrated in specific individuals. *The figures are based on actual measurements from the PoC. The effects may vary depending on the volume of drawing assets and operational structure.

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