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soft(prediction) - List of Manufacturers, Suppliers, Companies and Products

Last Updated： Aggregation Period:Oct 15, 2025～Nov 11, 2025
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soft Product List

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[Data Presentation] Highly Scalable SMARC Module for Industrial and Medical Applications

[Data Presentation] Highly Scalable SMARC Module for Industrial and Medical Applications

Equipped with the high-speed, high-performance NXP i.MX8M Plus processor, it also achieves expandability through power-saving modes and compliance with the SMARC standard!

The "iW-RainboW-G40M-SMARC" is a product utilized in industries such as manufacturing, healthcare, transportation, energy, communication, and sales. In industrial applications, it is used in control systems across various sectors including factories, construction sites, and agriculture. It is particularly effective when there is a need to process large amounts of sensor data. In healthcare applications, it is used in medical devices and hospital information systems, while in transportation applications, it is utilized in applications related to autonomous driving technology, traffic control systems, and parking management systems. Additionally, it is well-suited for energy distribution systems, communication devices, network infrastructure, and video-related products. 【Features】 ■ High processing performance ■ Extensive I/O ■ Compliant with SMARC standards ■ Power-saving mode ■ Scalability ■ Long lifespan *For more details, please refer to the PDF document or feel free to contact us.

  • Industrial PCs

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Ally of the manufacturing site: Visualizing people's postures and movements to improve work efficiency!

Ally of the manufacturing site: Visualizing people's postures and movements to improve work efficiency!

Digitize and optimize issues in the work process! Monitor the actions of on-site workers in real time!

Are there any issues such as "the work content for each worker and work process is unclear" or "on-site management is personalized"? In the case of routine tasks like line work or assembly, it is possible to organize processes from the workers' actions to help identify waste. By analyzing with 'VisionPose', alerts can be generated when workers take actions that differ from the manual (such as using a smartphone). ■ Case Study 【Issues】 - The work content for each worker and work process is unclear - On-site management is personalized 【Result】 - Problems are difficult to surface ■ Features of VisionPose SDK (Software Development Kit) - AI can be tuned for additional learning focused on specific movements - Compatible with a wide range of platforms, including edge devices - Japanese language support - No usage restrictions; commercial use is allowed - Two ready-to-use tools included - Skeleton detection using only a camera - Detection of skeletons at 30 points on the human body - Compatible with network cameras *For more details, please refer to the PDF document or feel free to contact us.

  • Other information systems

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Ally of the manufacturing site: Visualizing people's postures and movements to improve work efficiency!

Ally of the manufacturing site: Visualizing people's postures and movements to improve work efficiency!

Visualizing the physical load on workers' bodies using skeletal information! Creating a work environment that is easier for the elderly.

Are there any issues such as "aging of workers" or "tasks becoming personalized and the workload being invisible"? By using "VisionPose," it is possible to measure the posture information of workers in real-time through a web camera or network camera. Additionally, since there is no need to attach any machinery to the body, it does not burden the workers. By visualizing the posture load of workers and reviewing work methods and workspaces, it helps prevent health issues such as lower back pain, ensures safety management, and aids in worker retention. ■Examples - Issues └ Aging of workers └ Tasks becoming personalized and the workload being invisible - Moving forward └ It is necessary to create a work environment that reduces the physical burden on elderly workers. ■Features of VisionPose SDK (Software Development Kit) - AI can be tuned for additional learning specialized in specific movements - Compatible with a wide range of platforms, including edge devices - Japanese language support - No usage restrictions; commercial use is allowed - Two ready-to-use tools included - Skeleton detection using only a camera - Detection of skeletons at 30 points on the human body - Compatible with network cameras *For more details, please refer to the PDF materials or feel free to contact us.

  • Other information systems

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Ally of the manufacturing site: Visualizing people's postures and movements to improve work efficiency!

Ally of the manufacturing site: Visualizing people's postures and movements to improve work efficiency!

Digitize the actions of veteran workers (experts) to pass on work know-how and insights to new employees! Also maintain quality through training for newcomers.

Are there any issues such as "aging of workers," "increased employment of foreign personnel," and "task personalization"? The know-how and insights cultivated by veteran workers over many years have become tacit knowledge that is not sufficiently shared within the company. As workers age and retire year by year, there are cases where technical knowledge is not passed on to new employees. By digitizing with 'VisionPose,' we can stop personalization. By analyzing and digitizing the work of veteran workers with our product and comparing it to the movements of new workers, we can improve actions and optimize operations. ■ Case Study 【Issues】 - Aging of workers / Increased employment of foreign personnel / Task personalization 【Consequences】 - Decrease in veteran workers / Labor shortages / Deterioration of quality 【Improvement Measures】 - Optimization of new employee training is essential ■ Features of VisionPose SDK (Software Development Kit) - AI can be tuned for additional learning specialized in specific movements - Compatible with a wide range of platforms, including edge devices - Japanese language support - No usage restrictions; commercial use allowed - Two immediately usable tools included - Skeleton detection using only a camera - Detection of 30 points of the human body's skeleton - Compatible with network cameras

  • Other information systems

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A complete platform for successfully leading drug discovery: 'StarDrop'

A complete platform for successfully leading drug discovery: 'StarDrop'

Achieving improvements in the speed, efficiency, and productivity of the drug discovery process! We quickly provide optimally balanced compounds.

By quickly extracting diverse and excellent compounds, StarDrop operates while evaluating complex data, dramatically reducing the time required for effective lead compound exploration. In evaluating this data, it provides confidence and intuitive clarity for decision-making, guiding and validating the direction of research and which compounds to prioritize. This interactive tool enables you to efficiently open pathways to enhance your chosen chemical properties. 〇 Advantages of StarDrop - Development of more effective drugs By highlighting excellent chemical properties, it leads you to target areas with the greatest potential for multifaceted optimization and success in your research. - Confident decision-making It assists in managing uncertain data specific to drug discovery that arises from experimental variability and predictive errors. - Speeding up compound selection It significantly reduces the time needed to navigate the maze of possibilities and identify excellent lead compounds and candidate drugs. - More results from your research It helps you get the best from all your resources, delivering true value.

  • stardrop_2.png
  • stardrop_3.png
  • Data Mining
  • Other research software
  • Bioinformatics

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What is the difference between generative AI and predictive AI? We will also introduce business applications.

What is the difference between generative AI and predictive AI? We will also introduce business applications.

Incorporate AI into your business to improve operational efficiency! We will also introduce the new hint feature.

"What are the differences between generative AI and predictive AI?" "Can predictive analysis be done using the popular ChatGPT?" I have summarized these questions so that you can understand them in three minutes. I will also introduce the new feature of 'Prediction One' that enhances prediction accuracy using generative AI, the "Hint Feature." This article is aimed at those who are considering incorporating AI into their business to improve operational efficiency and differentiate themselves from competitors. At the end of the column, you can download helpful materials for free, so please take a look. *You can view the detailed content of the column through the related links. For more information, feel free to contact us.

  • Business Intelligence and Data Analysis

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[Case Study] Sunstar Inc.

[Case Study] Sunstar Inc.

Utilized in R&D material development! Introducing examples of promoting business efficiency and rapid product development.

We would like to introduce a case study of the implementation of "Prediction One" at Sunstar Inc. The company had a challenge of wanting to reduce the time, effort, and costs associated with preservative efficacy testing. After implementation, they promoted operational efficiency and rapid product development. 【Case Overview】 ■Challenge - Reduction of time, effort, and costs associated with preservative efficacy testing ■Effect - Promotion of operational efficiency and rapid product development *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis

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[Case Study] Sony Assurance Inc.

[Case Study] Sony Assurance Inc.

Improve the accuracy of call center incoming call forecasts! Contribute to the optimization of operator shift assignments.

Sony Insurance Co., Ltd. has implemented "Prediction One" to solve its challenges. The company considers improving the accuracy of call volume predictions to be a key cost issue, as the number of incoming calls directly affects the adjustment of operator shifts. When comparing the results of past predictions made by staff, it was found that predictions made with this product were more accurate, contributing to the optimization of operator shift assignments. [Case Overview] ■Challenge - Improving the accuracy of call volume predictions is a key cost issue. ■Problem Setting for Predictive Analysis - Based on past actual data of incoming calls, we want to predict the number of calls for each day and time period. ■Results - Contributed to the optimization of operator shift assignments. *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis

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[Case Study] YKK AP Corporation

[Case Study] YKK AP Corporation

Improving accuracy further with AI implementation! Introducing examples of startup programs that have been conducted.

We would like to introduce a case study of the implementation of "Prediction One" at YKK AP Corporation. The company recognized the challenge of having predictions that were personalized, leading to differences in operational efficiency and accuracy among different personnel. During the trial phase, the error rate was less than 10%. Moving forward, we will verify the gaps between the predictions made by the personnel conducting operations on-site. 【Case Overview】 ■Challenges - Personalization of operations based on experience, intuition, and courage - Concentration of operational burden due to high personalization ■Effects - Error rate of less than 10% during the trial implementation *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis

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[Case Study] Bell System 24, Inc.

[Case Study] Bell System 24, Inc.

Adopted as part of in-house DX! Objective and high predictive analysis of each KPI is now possible.

We would like to introduce a case study of the implementation of "Prediction One" at Bell System 24, Inc. The company was utilizing Excel for data analysis but faced challenges in handling large volumes of data, which led to the implementation of the solution. As a result, they were able to conduct highly accurate analyses of the "connection rate," which measures whether customers were successfully connected by phone, and it received positive feedback from the field. 【Implementation Overview (Partial)】 ■Challenges - They were using Excel for data analysis but were unable to handle large volumes of data. - Call volume forecasting was based on experience and remained subjective. ■Problem Setting for Predictive Analysis - To eliminate subjectivity, they wanted to objectively predict and analyze each KPI from past data. *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis

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[Case Study] Tohto Co., Ltd.

[Case Study] Tohto Co., Ltd.

Production planning using a dual approach of human experience and AI! Here we introduce a case where the AI literacy of our internal members has improved.

We would like to introduce a case study of the implementation of "Prediction One" at Tohto Co., Ltd. The company had been relying on the experience and intuition of long-term staff for production planning, which resulted in low planning consistency due to varying reports from different individuals. After the implementation, business hours were reduced, and the AI literacy of internal members improved. [Case Overview] ■ Challenges - Production planning reliant on human experience and intuition ■ Effects - Reduction in business hours - Improvement in AI literacy among internal members *For more details, please refer to the PDF document or feel free to contact us.

  • Business Intelligence and Data Analysis

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Release of FaultTree+ Utilization Seminar Video

Release of FaultTree+ Utilization Seminar Video

We will introduce features that are helpful when using FaultTree+ for functional safety compliance, as well as the creation of models using FaultTree+ in a video.

【Overview of the Seminar】 1. System FTA and FTA for quantitative evaluation 2. Expression methods for safety mechanisms (SM) 3. Expression methods for common cause failures 4. Cut set analysis and how to interpret that information 5. Collaboration with failure rate DB (Prediction), reuse and integration of models utilizing library functions 6. Automation of initial value creation for FT diagrams

  • Technical Seminar

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Reliability Workbench software for reliability assessment

Reliability Workbench software for reliability assessment

Functional safety, fully compliant with ISO 26262. We can assist with everything from failure rate calculations to failure mode and effects analysis.

Reliability Workbench (RWB) is software designed to support reliability, safety, and availability assessments based on reliability engineering, and it consists of the following modules: ■ Example Modules - Prediction: Reliability/Fault Rate Prediction Module - FMECA: Failure Mode, Effects, and Criticality Analysis - Reliability Block Diagram (RBD): Reliability Block Diagram Analysis - Fault Tree: Fault Tree Analysis - Reliability Growth: Reliability Growth Model - Reliability Allocation: Reliability Allocation - Safety Assessment: Safety Assessment (HARA) - Parts Library: Failure Rate Library RWB has been adopted by many companies both domestically and internationally as a tool for evaluating the reliability and safety of equipment required by functional safety standards such as IEC61508 and ISO26262. The main industries where it has been implemented are as follows: - Automotive - Railways - Aerospace - Plants - Industrial Equipment

  • simulator

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Multi-page file compar PloCVAuto

Multi-page file compar PloCVAuto

PloCVAuto automatically compares two multi-page drawing files.

A single product drawing consists of many drawings and is generally stored in a multi-page PDF file. When the design of the drawing is changed, it will be a lot of work to compare all the drawings of the old and new drawings and mark the change accurately. PloCVAuto automatically compares a large number of drawings contained in two new and old multi-page files.

  • Other CAD related software

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