We will be exhibiting at the Kyoto Business Exchange Fair 2022 from February 17 (Thursday) to February 18 (Friday).

As an enabler company for our customers, we contribute to society through manufacturing innovation!

At Fields Technology Co., Ltd. is a group of engineers dedicated to developing the necessary manufacturing conditions and systems for new product development and mass production improvement, primarily in the semiconductor manufacturing field. We provide consistent support from proposing improvement measures aimed at problem-solving to implementing and following up on solutions, by directly addressing issues on-site and utilizing statistical methods based on principles and fundamentals. We promise to be a strong partner in improving our customers' management. 【Business Activities】 ■ Infrastructure system construction and application software development ■ Data collection and analysis ■ Development of manufacturing methods in the manufacturing technology field *For more details, please refer to the PDF document or feel free to contact us.

• Other contract services

Implementing the necessary functions for effective utilization of manufacturing data! Seamlessly achieving data analysis to anomaly monitoring.

The "@FieldEye Manager" is an analysis and anomaly management system that seamlessly realizes data analysis and anomaly monitoring through centralized data management and modeling. It implements necessary functions for effective utilization of manufacturing data, including "high-speed processing of large volumes of data and external integration," "high-precision analysis," "anomaly detection," and "modeling." In response to the challenge that "most quality anomalies are discovered in later processes, leading to reactive measures and increased losses," there are cases where we have checked 500 equipment parameters in real-time at 10,000 files per day to prevent the outflow of quality anomaly lots in advance. 【Features】 ■ Big Data Support: High-speed search using NoSQL DB ■ Usability: Trimming, overlaying time series, and statistical value display ■ Modeling and Anomaly Detection: Automatic judgment through modeling of normal waveforms *For more details, please refer to the PDF materials or feel free to contact us.

• Other analyses

A must-read for managers and personnel in the technical and quality control departments who want to investigate the causes of quality defects through data analysis!

The occurrence of poor quality is caused by some kind of anomaly in the manufacturing process. Furthermore, that anomaly is reflected in the manufacturing data. Therefore, it is possible to identify the causes of defects through the analysis of manufacturing data. However, simply collecting and analyzing data is not sufficient to identify the causes of defects. It is important to devise a data analysis approach tailored to the purpose. This document introduces the concepts of data analysis approaches necessary for identifying the causes of defects, using Atfields' data analysis approach examples. [Contents] ■ Purpose of this document ■ Assumed issues ■ Examples of data analysis approaches ■ Achievements ■ Service introduction ■ Company overview *For more details, please refer to the PDF document or feel free to contact us.

• Other contract services

Information useful before system implementation, including common challenges and solutions for realizing predictive maintenance of equipment.

Our company provides consistent technical support from the acquisition to the utilization of various data in manufacturing plants. Furthermore, we are capable of building infrastructure, including data collection tools. This document introduces common challenges and solutions in implementing equipment anomaly monitoring, as well as the features of our analysis and anomaly management system, "＠FieldEye Manager," and examples of its utilization. It is recommended for those who want to start predictive maintenance for equipment or have challenges in collecting and utilizing equipment data. *For more details, please check the download button. Feel free to contact us as well.*

• Business Intelligence and Data Analysis

Attention managers and personnel in the manufacturing and quality control departments! We present case studies on improvements utilizing data.

To realize a smart factory, it is considered necessary to achieve "connectivity" through the collection and integration of production equipment data. However, simply collecting data and "connecting" it will not yield the management value that was envisioned. It is important to gather and utilize data that "connects" to value. This document presents examples of improvements utilizing data, focusing on the methods for collecting and processing the data necessary to achieve management value. [Recommended for] ■ Those who want to work on smart transformation but don't know where to start ■ Those who want to start collecting data from a single piece of equipment ■ Those who are struggling with data collection from old equipment ■ Those who have collected data from production equipment but are not seeing management results ■ Those who want to know about case studies of data collection services [Contents] ■ Purpose of this document ■ Expected challenges ■ Solutions to the challenges ■ Service introduction ■ Case study introduction ■ Company overview *For more details, please refer to the PDF document or feel free to contact us.

• Business Intelligence and Data Analysis

We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will be showcasing a number of products, including our new product, the Packaging Container Air Leak Test (Pin Hole Inspection) Device | MSQ-2003 series. We sincerely apologize for the inconvenience during your busy schedule, but we would like to cordially invite you to attend this event. 【 Trade Show Name 】 【 Dates 】 【 Venue/Booth Number 】

We will showcase our new product "BLFF," a palletizing foam gripper that weighs only 1.9 kg and measures 350mm×250mm, ideal for bulk picking. We will also introduce various products that cater to different work applications, including durable suction cups and solutions for bag handling. Additionally, we are implementing energy-saving proposals by replacing ejectors to reduce compressed air consumption, which has become a challenge in many industries. If you have any issues with adhesion or transport, please feel free to consult with us at the venue. ■ Lightweight Foam Gripper for Collaborative Robots "CVGC Series" Despite weighing only 1.9 kg, this gripper has a theoretical lifting force of 100 kg, maximizing the payload capacity of collaborative robots. ■ Gripper for Films This gripper is designed to transport thin films gently, minimizing marks left on the surface. By utilizing 3D printing, we can accommodate highly flexible shape designs tailored to specific workpieces and applications. ■ Energy Saving Comparison Panel "Why does a single ejector consume less compressed air compared to a multi-stage ejector?" You can actually verify the differences in compressed air consumption through a comparative display using a flow meter and actual equipment.

We will be exhibiting at Smart Factory JAPAN, held at Tokyo Big Sight from November 18 (Wednesday) to November 20 (Friday), 2026. We will introduce the 'Dr. Process Navi Series', 'Dr. Mold Cloud', and AI solutions that integrate with both products! <Introducing the latest solutions that innovate productivity in manufacturing sites!> ● 'Dr. Process Navi' Series ● 'Dr. Mold Cloud' ● 'AI Solutions' For more details, please check the related products. ■■ Smart Factory JAPAN 2026 Overview ■■ Dates: November 18 (Wednesday), 19 (Thursday), 20 (Friday), 2026 Opening Hours: 10:00 AM - 5:00 PM Venue: Tokyo Big Sight, East Hall 1-3 Our Booth Number: F-20 Registration: Nikkan Kogyo Shimbun 6 Exhibition Joint Site When visiting, please register in advance from your My Page and bring a printed admission ticket. Business meeting requests are also possible, so please make use of this opportunity.

We will be exhibiting at the Monozukuri World Fukuoka Design and Manufacturing Solutions Exhibition, held at Marine Messe Fukuoka from December 2 (Wednesday) to December 4 (Friday), 2026. We will introduce the 'Dr. Process Navi Series', 'Dr. Mold Cloud', and AI solutions that help improve efficiency and reform in manufacturing sites! <Introducing the latest solutions that innovate productivity in manufacturing sites!> ● 'Dr. Process Navi' Series ● 'Dr. Mold Cloud' ● 'AI Solutions' For more details, please check the related products. ■■ Overview of the 4th Monozukuri World Fukuoka Design and Manufacturing Solutions Exhibition ■■ Dates: December 4 (Wednesday), 5 (Thursday), 6 (Friday), 2026 Opening hours: 10:00 AM to 5:00 PM Venue: Marine Messe Fukuoka Our booth number: 14-18 When visiting, please register in advance through the dedicated page and bring your printed visitor badge.

We will be exhibiting at "CEATEC 2026," which will be held at Makuhari Messe from October 13 to 16. We provide information technology and process informatics (PI) that optimize "how to create" by utilizing physical simulations, AI, and machine learning in process development. We look forward to your visit to our booth. 【Seminar Information】 "Process Informatics for Exploring Optimal Manufacturing Conditions" Date and Time: October 16, 2026 (Friday) 12:45 - 13:00 Venue: Makuhari Messe Exhibition Hall 4 P Stage Speaker: CEO Takaishi Please check the link below for details on our exhibition.