Search System Product List and Ranking from 41 Manufacturers, Suppliers and Companies

Mold design and estimation tasks completed in 10 minutes! AI similarity search system SS4M.

【Many Achievements】Design work and estimation tasks that used to take 2 to 3 hours have been reduced by 90%!

In mold design and estimation work, are you experiencing a situation where "similar past records cannot be found" or "it cannot be understood without asking the person in charge"? SS4M is a system that uses AI to search for similar shapes from 3D CAD data, allowing instant access to past estimation, design, and manufacturing records. Particularly in mold work, the following effects have been confirmed: - Estimation creation time: 2-3 hours → about 10 minutes - Similar record search: 30 minutes → about 10 minutes - Cost reduction through the promotion of reuse design The judgments in design and estimation that have relied on "experience" and "intuition" can now be utilized in a way that anyone can replicate, eliminating the dependency on specific individuals in the work. For those facing such challenges: - It takes time to search for estimates of similar molds - Estimations and judgments depend on veterans - There is past performance data, but it is not being utilized sufficiently SS4M also offers a free trial version, allowing you to verify the search accuracy and effectiveness using actual data.

Company：スマートホールディングス
Price：Other

3D CAD
3D CAM
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Designs by young professionals on par with veterans! 3D Similar Shape Search System 'SS4M'

Transform veteran tacit knowledge into a shared company asset! A technology transfer tool that eliminates dependency on individuals and enables young talent to become immediate assets.

This is a 3D similar shape search system that fundamentally addresses the issue of knowledge being confined to the minds of veteran employees, making it difficult for younger staff to access past assets, such as processing information and design intentions from similar models. Unlike traditional search methods that rely on vague memories of text, part numbers, or responsible individuals, this system allows for intuitive searches using the "shape itself" of 3D models as the key. As a result, even less experienced young staff can instantly access valuable past design data and manufacturing procedures at speeds comparable to seasoned professionals. Additionally, by allowing references not only to past successful cases but also to failure cases and trouble information, it significantly contributes to improving design quality and preventing rework. With the urgent need for "technology transfer" due to declining birth rates and the retirement of veteran engineers, this system transforms the vast amounts of dormant 3D data within the company into valuable shared assets, strongly supporting the overall enhancement of skills and the reliable transfer of know-how throughout the organization. 【Features】 ■ Discover similar products with simple searches, promoting reuse in design ■ Group all data by shape, automatically extracting common parts ■ Accelerate estimates, improve estimation accuracy, and enhance quality

Company：スマートホールディングス
Price：Other

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Notice of Participation in the 1st Monozukuri NEXT [Tokyo] Exhibition

We will introduce solutions that are useful for design work, focusing on AI utilization, drawing search, and labor reduction.

Smartscape Inc. will exhibit at the "1st Monozukuri NEXT [Tokyo]" to be held at Tokyo Big Sight from July 1 (Wednesday) to July 3 (Friday), 2026. On that day, we will introduce solutions that support the efficiency of operations and data utilization in design and manufacturing, focusing on our similar shape search system "SS4M." SS4M is a system that helps reduce man-hours in operations such as design, estimation, and purchasing by efficiently finding past drawings and similar parts through drawing searches, similarity searches, and CAD data utilization. If you have challenges such as "It takes too long to search for drawings," "I am not fully utilizing past data," "I want to promote standardization of parts," or "I want to know how to utilize AI in design work," you can check specific usage images. At our booth, we will not only provide an overview of the product but also introduce specific usage scenarios and implementation images. If you are interested in design DX, drawing management, similarity searches, parts standardization, or data utilization in manufacturing, please feel free to stop by.

Company：スマートホールディングス
Price：Other

3D CAD
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Attention those struggling with mold estimation and delivery time calculations! 3D Similar Shape Search SS4M

Search past mold performance by "shape"! We support the reduction of man-hours for estimate creation, delivery time calculation, and reuse design.

"SS4M" is a 3D similar shape search system that utilizes AI to search for similar shapes from a collection of accumulated 3D CAD data. In mold manufacturing, slight differences in shape measured in millimeters or processing conditions can significantly alter the estimated costs and delivery times. However, even if there is a record of having produced similar molds in the past, relying on drawing numbers, part numbers, or the memory of personnel for management may result in an inability to find the necessary information. By utilizing SS4M, you can simply upload a 3D CAD file to search for past mold and part data with similar shapes. By linking drawing information, processing information, estimation information, and past trouble information to the 3D model, it can be used for creating estimates, calculating delivery times, reuse design, and technical inheritance. This is recommended for those facing challenges such as "it takes time to search past achievements in mold manufacturing," "estimates are personalized," "new designs are created for similar molds," and "processing know-how is not being utilized." 【Features】 ■ Quickly reference past mold achievements by searching for similar shapes from 3D CAD files ■ Link and utilize estimation information, processing information, trouble information, etc., to the model ■ Support for reuse design, reduction of estimation man-hours, efficiency in delivery time calculation, and standardization of parts.

Company：スマートホールディングス
Price：Other

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"KIBIT Amanogawa" Paper-Specialized Concept Search AI System

AI system developed by drug discovery researchers for hypothesis generation.

FRONTEO's unique paper search AI system utilizes natural language processing AI technology. By inputting words, sentences, or hypotheses, the AI can instantly detect and analyze highly similar and relevant paper information from the vast database of papers published in PubMed. This significantly streamlines tasks that would have taken an enormous amount of time if done manually, and it also enables the discovery of information that could not be found through traditional keyword searches, as well as information free from biases introduced by the searcher, thereby achieving objective and comprehensive analysis in medical and drug discovery research. It is a highly extensible application that can accommodate customizations, such as incorporating data uniquely held by companies and institutions.

Company：FRONTEO
Price：Other

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South Agency Inc. Company Profile

We will develop businesses that meet customer needs and expectations and contribute to society.

South Agency Co., Ltd. is developing its business in two areas: "fundraising support services" and "IT system development services." We provide a subsidy and grant search system called "Subsidy Search β" and a tax accountant matching platform called "Tax Accountant Agency." Additionally, we also offer a SaaS comparison and information request site for corporations called "Utilly." 【Services】 ■ Subsidy and grant search system: Subsidy Search β ■ Tax accountant matching platform: Tax Accountant Agency ■ SaaS comparison and information request site for corporations: Utilly *For more details, please refer to the related links or feel free to contact us.

Company：サウスエージェンシー
Price：Other

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Case Study: Data Utilization through Semantic Search | Major Office Products Company

A case study of introducing an agent that automatically generates analysis queries!

We would like to introduce a case study where "generative AI" was implemented in the planning operations of a major company dealing with office-related products. The company faced the challenge of insufficient organization of a large amount of internal data, leading to decreased analysis efficiency. To address this, they implemented data documentation and semantic search. This significantly improved the transparency of data utilization and analysis efficiency. 【Case Overview】 ■Challenges - Insufficient organization of a large amount of internal data leading to decreased analysis efficiency - Lack of clarity on where data is located, hindering planning operations ■Results - Significant improvement in the transparency of data utilization and analysis efficiency *For more details, please refer to the related links or feel free to contact us.

Company：homula
Price：Other

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Case Study: Electronic Component Manufacturer | Sales Support through AI Document Search

Sales information acquisition time reduced by 60%!

This is a case where an electronic components manufacturer implemented an AI-powered document search system to improve the speed of information retrieval for sales, thereby enhancing proposal capabilities and closing rates. Challenges: The volume of product specifications and technical documents was vast, causing sales representatives to spend a lot of time searching for necessary information. Knowledge from past proposal documents and similar cases was not shared among sales, leading to inefficient use of information during negotiations. Measures: Implementation of an AI document search system: AI automatically classifies proposal documents and technical manuals, creating an environment where sales can search instantly. CRM integration: Records the history of documents searched by sales, improving proposal accuracy for each case. Results: The time taken for sales to retrieve information was reduced by 60%, allowing negotiations to progress smoothly. Proposal accuracy improved, resulting in a 25% increase in closing rates.

Company：homula
Price：Other

SFA/Sales Support System
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Enterprise AI Search Sinequa

Enterprise search for utilizing accumulated drawings and maintenance records without relying on veterans.

Sinequa is an enterprise AI search that enables cross-searching of documents and data distributed within a company and generates evidence-based AI responses, based on over 20 years of research and development and implementation of natural language processing, machine learning, and search technologies. In the 2025 Gartner Market Guide for Enterprise AI Search, Sinequa was selected as a representative vendor.

Company：シストランジャパン
Price：Other

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Self-Supporting AI Platform "Helpfeel"

We will build a knowledge data platform to nurture AI and promote corporate growth!

"Helpfeel" is a self-help AI platform that suggests "what you want to know" even with vague expressions and guides users to articles. By embedding it in the inquiry form, users can reach answers and resolve issues on their own before submitting an inquiry. It automatically analyzes a vast amount of inquiry data effortlessly. It quickly determines whether existing articles can resolve the issue or if new content is needed, without causing confusion until improvement. 【Features】 ■ An AI agent that searches knowledge and provides answers ■ A search-based FAQ system that leads to self-resolution through AI ■ An inquiry form that displays answers before submission ■ AI provides improvement suggestions based on data ■ AI collects and analyzes intent data *For more details, please refer to the related links or feel free to contact us.

Company：Helpfeel
Price：Other

Data Search Software
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[AI Drawing Search System] <A must-see for sales/design/quality assurance/maintenance personnel!>

The AI drawing search system instantly searches for similar drawings! <A must-see for sales/design/quality assurance/maintenance personnel!>

The "AI Drawing Search System" is a system that allows AI to instantly search for similar drawings based on past performance, eliminating the need to rely on human judgment, experience, and know-how for the task of "searching for similar drawings." <Are you facing these issues?> ■ It takes a long time to find drawings └ Past drawings are managed in Excel or on paper └ Drawings are managed by each client file ■ The estimation settings are not appropriate └ It takes time to trace the cost information and estimation information of the drawings ■ Drawing management is becoming dependent on specific individuals └ It takes time to find similar drawings from past drawings The AI Drawing Search System can solve these problems! * We offer demos and have both free and paid trial versions available. * For more details, please request materials or view the PDF data from the download. Our "AI Drawing Search System" is continuously updated based on customer feedback and requests. If you are a customer facing challenges or issues with the task of "searching for similar drawings," please consider our solution.

Company：コスモサミット
Price：Other

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[Case Study] Understanding the reality of employee interactions through camera recording and audio documentation!

With the "Data Integration Video Search System," it is possible to record audio from each camera. This helps avoid the back-and-forth of "he said, she said" with customers.

A complaint regarding employee responses. We received an inquiry stating that there is video data available, but no audio, making it impossible to understand the actual interactions. As a solution, we introduced the "Data Integration Video Search System." With our product, you can record and verify the audio from each camera, allowing you to avoid the back-and-forth of "he said, she said" with customers. Additionally, it is expected to have a deterrent effect on customers who frequently file complaints. *For more details, please refer to the PDF document or feel free to contact us.*

Company：STRASSE
Price：Other

Other security and surveillance systems
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AI Similar Drawing Search System for Manufacturing Industry

Automatically extract similar drawings from blueprints and search text to significantly reduce search time!

In the design department of the manufacturing industry, it is essential to effectively utilize past drawing assets to enhance design efficiency. Particularly in the design of similar parts and reuse design, quickly finding the necessary drawings directly contributes to shortening development time and reducing costs. However, conventional keyword searches have faced challenges, as they cannot fully capture the shapes and detailed features of drawings, making it difficult to reach the desired drawings. The AI similar drawing search system addresses these issues by analyzing the shapes and structures of drawings and automatically extracting past drawings and similar parts. 【Usage Scenarios】 - Searching for past similar parts - Selecting parts during reuse design - Searching for reference drawings in estimation tasks - Searching for drawings in the absence of responsible personnel 【Benefits of Implementation】 - Significantly reduces the time and effort spent searching for drawings - Increases the speed of reuse design and estimation tasks - Standardizes drawing search operations that had become reliant on specific individuals

Company：三共精機本社
Price：Other

Data Search Software
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AI Similar Drawing Search System for Architecture

Automatic extraction of similar properties from blueprints + text search to significantly reduce search time!

In the construction industry, it is essential to efficiently search for and utilize the drawings of past similar properties for design and estimation purposes. In particular, quickly finding drawings of similar properties leads to design reuse and cost reduction, making it indispensable for improving operational efficiency. Inadequate drawing searches can result in rework, delays in estimates, and even design errors. The AI similar drawing search system analyzes the shapes and features of drawings using AI, allowing for instant searching and extraction of similar property drawings. 【Usage Scenarios】 - Searching for drawings of past similar properties - Considering reuse during design - Streamlining estimation tasks - Searching for drawings in the absence of responsible personnel 【Benefits of Implementation】 - Significant reduction in the effort required to find drawings - Improved operational speed through automatic extraction of similar property drawings - Elimination of dependency on specific individuals and standardization of operations

Company：三共精機本社
Price：Other

Data Search Software
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AI Similar Drawing Search System for the Automotive Industry

Streamlining the compatibility verification of automotive parts with AI! Significantly reducing drawing search time.

In the automotive industry, verifying the compatibility of parts is an important process in design changes and supplier selection. Quickly finding past drawings and similar parts directly leads to reduced development lead times and cost savings. However, searching for the desired items among vast amounts of drawing data requires time and effort, and often relies on the experience of the personnel involved. An AI-based similar drawing search system addresses these challenges by analyzing the shapes and textual information of drawings, allowing for the instant search and extraction of similar drawings and related parts, significantly reducing the effort required to find drawings. 【Use Cases】 - Searching for past similar parts - Evaluating submitted drawings from suppliers - Confirming the scope of impact during design changes - Selecting parts when creating estimates 【Benefits of Implementation】 - Accelerating the verification of parts compatibility - Streamlining the design and development process - Standardizing the drawing search tasks that were previously reliant on individual expertise - Reducing costs through reuse design

Company：三共精機本社
Price：Other

Data Search Software
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AI Similar Drawing Search System for Electrical and Circuit Design

Automatically extract similar drawings from circuit diagrams + text search to reduce design time!

In the electronics industry, particularly in the field of circuit design, leveraging past design assets and quickly identifying similar circuits are essential for improving development efficiency. In increasingly complex circuit design, efficiently locating the necessary drawings becomes a time-consuming and labor-intensive challenge. If past design data and similar components cannot be accurately grasped, it may lead to design duplication and delays in optimal component selection. The AI similar drawing search system addresses these challenges by combining AI-based shape analysis of drawings with OCR technology for text search, thereby promoting design digital transformation (DX). ## Use Cases * Search for similar designs from past circuit diagrams to streamline reuse design. * Collaborate with related documents such as parts lists and specifications to quickly understand design intent. * Achieve standardized drawing searches that do not rely on the experience of individuals. ## Benefits of Implementation * Significantly reduce the time and effort spent searching for drawings. * Increase the speed of reuse design and estimation tasks. * Improve design quality and eliminate dependency on specific individuals.

Company：三共精機本社
Price：Other

Data Search Software
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AI Similar Drawing Search System for Robot Mechanism Design

Efficient AI-based similar drawing search for robot mechanism design + text search

In the field of robotic industry mechanism design, utilizing past design assets and quickly identifying similar parts are essential for improving development speed. Particularly when dealing with complex mechanisms and numerous components, it can take a lot of time to find the desired drawings. Additionally, searches that rely on the experience of the person in charge may lead to information becoming personalized and the risk of missing searches. An AI similar drawing search system addresses these challenges by analyzing the shape and structure of drawings and instantly searching for and extracting similar drawings. 【Usage Scenarios】 - Searching for past robot component drawings - Reusing designs of similar mechanism parts - Searching for reference drawings during new designs - Identifying parts in estimation tasks 【Benefits of Implementation】 - Significant reduction in time and effort spent searching for drawings - Increased speed in reuse design and estimation tasks - Standardization of search levels among personnel

Company：三共精機本社
Price：Other

Data Search Software
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Aerospace 3D Similar Shape Search System SS4M

Support structural analysis in the aerospace field and instantly search for similar parts.

In the field of aerospace structural analysis, leveraging past design assets and quickly identifying similar parts is essential. Particularly in the analysis of components with complex shapes, shape-based searches are crucial for efficiency. Even when part numbers or drawing numbers are unknown, swiftly locating necessary components based on their shapes can lead to reduced design man-hours and improved analysis accuracy. The 3D Similar Shape Search System SS4M utilizes AI to address these challenges by searching for similar parts based on the shapes of 3D CAD data. 【Usage Scenarios】 - Searching for similar-shaped parts designed in the past - Promoting reuse design in structural analysis - Preventing duplication of parts - Streamlining design and procurement operations 【Benefits of Implementation】 - Reduction of analysis man-hours through rapid identification of similar parts - Containment of new design man-hours by effectively utilizing past assets - Cost reduction through standardization of parts - Prevention of knowledge dependency and promotion of technology transfer

Company：三共精機本社
Price：Other

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3D Similar Shape Search System for Medical Devices SS4M

Streamlining medical device implant design with AI, instantly searching for similar parts.

In the medical device industry, particularly in implant design, precise shape reproduction and the utilization of past design assets are required. Implant components often have complex shapes that consider biocompatibility and functionality, and the search for similar components and reuse design significantly impacts design man-hours. Finding appropriate parts from past design data leads to reduced development time and cost savings. SS4M promotes reuse design by quickly searching for past implant components based on shape, even when part numbers or drawing numbers are unknown, using AI-powered 3D similar shape searches. 【Usage Scenarios】 - Searching for similar shapes from past implant design data - Considering the reuse of components in new implant designs - Reducing design man-hours and shortening development time - Cost reduction through component standardization 【Benefits of Implementation】 - Supporting the utilization of past assets with high-precision similar shape searches powered by AI - Reducing new design man-hours by promoting reuse design - Cost savings and improved development efficiency through component standardization - Supporting technology transfer with searches that do not rely on the experience of personnel

Company：三共精機本社
Price：Other

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3D Similar Shape Search System for Home Appliances SS4M

Promote the reuse design of home appliance enclosures and reduce search workload.

In the home appliance industry, it is essential to efficiently utilize past product assets to shorten development time and reduce costs. In particular, the ability to quickly identify similar-shaped parts that can be reused in design significantly impacts development speed. If past design data and part information are not organized or if it relies on the experience of personnel, it can take a long time to search for necessary parts, leading to a reliance on individual expertise in design. SS4M promotes reuse design by quickly identifying similar parts based on shape, even when part numbers or drawings are unknown, through AI-powered 3D shape search. 【Usage Scenarios】 - Searching for similar parts from past home appliance casing designs - Considering the reuse of existing parts in new casing designs - Promoting cost reduction through part standardization - Part search that does not rely on the experience of design personnel 【Benefits of Implementation】 - Significantly reduces the labor required for searching similar parts - Reduces new design labor through the promotion of reuse design - Cuts costs by preventing the occurrence of duplicate parts - Supports technology transfer and standardization of operations

Company：三共精機本社
Price：Other

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3D Similar Shape Search System for Architecture SS4M

Instantly search for similar-shaped components in architectural structure analysis to reduce design man-hours.

In the construction industry, examining structural considerations can lead to improved design efficiency through the reuse of past similar structures and components. Particularly in complex structural calculations and detailed designs, it is crucial to quickly locate existing design assets and understand their shapes and specifications. However, when drawing numbers or part numbers are unclear, it can take a significant amount of time to find the necessary information from past design data, leading to design delays and duplicated designs. SS4M addresses these challenges through AI-powered 3D shape searches. 【Usage Scenarios】 - Searching for similar shapes of past structural components - Referencing design data of similar structures - Promoting the reuse of components in structural considerations 【Benefits of Implementation】 - Significant reduction in search man-hours for structural considerations - Improved efficiency through effective utilization of design assets - Reduction in new design man-hours and duplicated components

Company：三共精機本社
Price：Other

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AI × Search "amie" <I don't know where it is in the search results>

Solve the challenge of needing to check each one individually, which takes time to search for!

AI×Search "amie" solves various challenges in information retrieval, specifically the issue of "not knowing where to find search results." Since search results only display file names and titles, those unfamiliar with the content of the documents need to check each one individually, which takes time. It addresses the problem of it being difficult to go through everything when you don't know the contents of the files. 【Features of amie】 ■ Adopts a chat UI, making it user-friendly for everyone ■ Intuitive information retrieval through thumbnail displays ■ AI generates answers and captures necessary information instantly ■ Allows for the organization of information by consolidating sources ■ Assists in formulating questions for AI during searches *For more details, please download the PDF or feel free to contact us.

Company：ペネトレイト・オブ・リミット
Price：Other

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AI × Search "amie" <Data not organized>

It is useful for organizing information, such as when there are many unnecessary files and folders!

AI×Search "amie" solves various challenges in information retrieval, specifically the issue of "not being able to organize data." As unnecessary folders and files accumulate, it becomes difficult to remember where things are stored, and there is no time to organize them. The location of files becomes dependent on individuals. It addresses the problem of not being able to find where the desired information is located. 【Features of amie】 ■ Adopts a chat UI, making it easy for anyone to use ■ Intuitive information retrieval with thumbnail displays ■ AI generates answers and captures necessary information instantly ■ Allows for the organization of information by consolidating sources into one ■ Assists in the questioning method when the AI searches *For more details, please download the PDF or feel free to contact us.

Company：ペネトレイト・オブ・リミット
Price：Other

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[amie Implementation Case] Experience a decrease in the number of inquiries.

It is being implemented at major companies for back office and customer-facing purposes!

We would like to introduce a case where our AI × search tool 'amie' was implemented at a client company, resulting in a noticeable decrease in inquiries. The ease of learning by simply dragging and dropping existing manuals, files, and URLs made it convenient for users. Please feel free to contact us if you have any inquiries. [Case Overview] ■ Users felt the convenience of the ease of learning by simply dragging and dropping existing manuals, files, and URLs. *For more details, please download the PDF or feel free to contact us.

Company：ペネトレイト・オブ・リミット
Price：Other

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[amie Implementation Case] Productivity of Core Business Improved

A case where the time required for employee information retrieval was reduced to one-third compared to before implementation!

We would like to introduce a case where the introduction of AI × search 'amie' to our client company has improved the productivity of core operations. The number of inquiries from employees decreased by about 20% within approximately one month of implementation. Additionally, the time required for employees to search for information was reduced to one-third compared to before implementation. [Case Overview] - The number of inquiries from employees decreased by about 20% within approximately one month of implementation. - The time required for employees to search for information was reduced to one-third compared to before implementation. *For more details, please download the PDF or feel free to contact us.

Company：ペネトレイト・オブ・リミット
Price：Other

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[amie Implementation Case] Japan Care Supply Co., Ltd.

Manual search time reduced! Since you can find it quickly, the number of inquiries has also decreased.

We would like to introduce a case study on the implementation of AI × search 'amie' at Japan Care Supply Co., Ltd. The company has been continuously creating new business models and regularly issuing manuals and notifications, which made it difficult to find what was needed, ultimately leading to inquiries being made via phone to the headquarters. After the implementation, when searching through the vast number of manuals via chat, the relevant pages appear immediately, significantly reducing the time spent contacting various departments, which has been positively felt. [Case Overview] ■ Challenges - To find the necessary manuals, it was necessary to identify each item individually and open related tabs, often resulting in an inability to locate the required manual. ■ Implementation Effects - By searching, it has become possible to generally pinpoint the relevant operational manuals, resulting in an estimated reduction of search time by about 4 to 5 minutes per search. *For more details, please download the PDF or feel free to contact us.

Company：ペネトレイト・オブ・リミット
Price：Other

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AI drawing search reduces estimation and calculation time.

There should have been similar drawings in the past! It can be convenient, easy, and save time.

We offer the "Speedy Similar Drawing Search and Estimation System," which can shorten estimation and calculation time through AI drawing searches. By selecting the original drawing and conducting a search, the AI will find similar drawings and display the similarity probability (%) for multiple drawings. You can view the estimation information from that time via the estimation reference button. Additionally, you can modify and create an estimate by adding processes or making other adjustments. Please feel free to contact us when you need assistance. 【Features】 ■ AI drawing search reduces estimation and calculation time ■ Ability to modify and create estimates by adding processes ＼ For more details, please check by downloading the catalog ／

Company：トップシステムプロダクツ本社
Price：Other

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High-Precision Search System for Similar Design Proposals through Integrated Generative AI

Building a high-precision search system for similar design proposals through the integration of generative AI into PLM "Obbligato"!

We will introduce case studies of AI search utilization from other companies. Design Knowledge Inheritance Platform at NEC The company faced challenges such as 3D-CAD data in the manufacturing industry being isolated within the organization and past design know-how not being utilized. After implementation, the proposal for optimal placement of welding points extended the fatigue life to 2.3 times compared to before. This promoted the efficiency of the design process, cost reduction, and effective utilization of design know-how. [Case Overview] ■ Background - A heavy electrical manufacturer had a reuse rate of only 17% for 30 years of design data. ■ Results - The average number of prototypes decreased from 4.2 to 1.8. - The man-hours for design changes were reduced by 37%. - The time for inheriting vibration design knowledge was shortened by 80%. *For more details, please download the PDF or feel free to contact us.

Company：ナンバーワンソリューションズ本社
Price：Other

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Searchable even without keywords! 3D Similar Shape Search System 'SS4M'

A must-see for CAD data users! Significant cost reduction is possible with AI-powered 3D similar shape search.

"SS4M" is a 3D similar shape search system that solves the problem of not being able to search for similar model drawing information due to unknown search keywords such as drawing numbers or part numbers. As long as you prepare a 3D CAD file, it automatically builds a similar shape search database, enabling immediate shape-based searches, even when the original data is not available. You will be freed from the stress of searching for files. 【Features】 ■ Discover similar products with simple searches, promoting reuse design ■ Automatically extract common parts by grouping all data by shape ■ Accelerate estimates, improve estimation accuracy and quality *For more details, please download the PDF or feel free to contact us.

Company：スマートホールディングス
Price：Other

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Search System Product List and Ranking from 41 Manufacturers, Suppliers and Companies | IPROS GMS

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