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Caddy Co., Ltd.

Enterprise Software

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CADDi Drawer is an advanced digital tool that leverages AI to optimize manufacturing processes by digitizing and organizing 2D drawings. It enables businesses to search and analyze these drawings efficiently, facilitating procurement, design standardization, and cost reduction. Key features include keyword search, similarity search, and integration with supply chain data, significantly enhancing productivity and decision-making across departments.

Founded: 2017

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CADDi Company Overview

CADDi Drawer is a sophisticated digital platform developed to revolutionize how manufacturing companies manage and utilize their 2D drawings. Founded to address inefficiencies in traditional procurement and design processes, CADDi Drawer integrates AI-driven technologies to digitize and centralize drawings, making them easily searchable by keywords, shapes, dimensions, and part names. This system is particularly beneficial for departments like procurement, engineering, sales, and production, as it streamlines workflows by eliminating redundant tasks and accelerating key processes such as supplier selection, design standardization, and quotation preparation. The platform’s advanced search capabilities, including keyword and similarity search, allow users to quickly locate relevant drawings and associated data, even from handwritten documents. These features not only save time but also reduce costs by preventing duplicate work and facilitating better supplier negotiations. Additionally, CADDi Drawer enables seamless integration of supply chain data, enhancing the overall value of the drawings by linking them with purchasing history, CAD/CAM files, and other critical documents. With its ability to optimize procurement workflows, enhance design productivity, and improve quality control, CADDi Drawer is a powerful tool for manufacturers aiming to boost efficiency, reduce costs, and foster innovation across their operations. It has already proven successful in various industries, with clients reporting significant time savings, cost reductions, and enhanced utilization of historical data.

Management Team

Yushiro Kato Co-Founder, CEO
Aki Kobashi Co-Founder, CTO

Funding Information