テクノプロ　テクノプロ・デザイン社【東証プライム上場グループ】 List of Products and Services

Mechanical/Electrical Cooperative Control Training By understanding the performance and roles of the electrical components and control software connected to and mounted on the mechanical systems, participants will acquire the skills necessary to advance collaborative work while considering the differences in the integration of mechanics, electronics, and software. 【Expected Issues】 - There is a lack of mechanical engineers who can lead the development and design of mechanical systems equipped with circuit and control software. - Differences in thinking among the various systems can become problematic during the integration phase of development concepts. - The division of functions among the systems is not clearly defined. 【Expected Effects】 - Education on design methods and knowledge for the overall mechanical system that achieves the best functional division under given conditions. - Improved collaboration among mechanical, circuit, and software teams. - The ability to smoothly advance complex system development and design tasks.

• Technical Seminar
• Other services

Solution Thinking Training You will learn how to visualize everyday problems and the desired outcomes. By making issues visible, you will develop a thought process that connects to the next actions. 【Expected Issues】 - Not noticing or being unable to notice on-site problems - Not knowing what to improve, leading to a whack-a-mole approach - Lacking logical thinking, resulting in ad-hoc responses 【Expected Effects】 - Developing a proactive mindset for problem-solving and the ability to perceive issues objectively - Being able to take targeted actions for solutions based on a clear vision of the desired outcome - Learning to approach matters with logical thinking

• Business Skills Seminar
• Temporary staffing business

Training for Designers Using In-House Product Mechanical Models We will conduct designer training by reconstructing the four mechanics, which are technical elements of design, from interviews into specialized practical mechanics, leading to an improvement in design mechanics. 【Expected Issues】 - Due to tool-dependent development, designs are being created without an understanding of engineering concepts such as mechanics. - There are many instances of reusing designs, resulting in a lack of opportunities to understand basic design principles. - We want to conduct design education focused on our own products within our company. 【Expected Effects】 - Ability to quantitatively analyze the forces acting on products. - Understanding the design intentions of advanced practitioners. - Gaining a mechanical perspective on the characteristics of our products' mechanisms. - By focusing on products filled with our unique know-how, we can achieve knowledge transfer and contribute to the development of next-generation products.

• Temporary staffing business
• others

SOC Analyst Training Service In addition to monitoring and responding to threats, we provide training that also addresses the evaluation of weaknesses and areas for improvement in security systems and defenses.

• Other security
• Technical Seminar

Similar problems keep recurring. Additionally, while there is a wealth of defect information, it is not stored in a usable database, which poses a challenge. By accumulating and centrally managing past troubles and defect information in a "usable form," we can create a state where it can be referenced as corporate knowledge, leading to the prevention of recurrence and improvement in quality. Reducing the search time for defect information can lead to a reduction in labor costs. We will support not only the construction of the database but also help companies to independently build and search it. [Expected Challenges] - The labor involved in defect handling is increasing. - It is unclear where the information is located. - Past defects are recurring. - There is variability in the documentation of past defect information, making it unusable. [Expected Effects] - Quick search of defect information from the database. - Preventing the recurrence of the same defect by utilizing past defect information. - Improvement in overall design capability through enhanced design quality.

• Temporary staffing business
• Other services

BluetoothLE (Bluetooth Low Energy / BLE) is an extended specification of Bluetooth, which is one of the short-range wireless communication standards. It has a short communication range and low communication speed, but it is characterized by extremely low power consumption, allowing for long-term operation. In the automotive industry, the adoption of BLE is progressing in systems such as keyless entry. We have experience in developing BluetoothLE communication applications. Utilizing the development experience with SDKs provided by various IC companies, we support our customers in their product development. 【Expected Challenges】 - No experience in building systems with proprietary profiles - No experience using SDKs provided by various IC companies - No experience in building systems using RTOS - Desire to ensure security for wireless communication lines 【Expected Benefits】 - Ability to build custom applications using proprietary profiles - Construction of a secure wireless communication system using authentication methods and cryptographic technologies

• Temporary staffing business
• Other services

Visualizing the knowledge of veteran engineers (systematizing tacit knowledge) and standardizing it as corporate know-how enhances a company's competitive edge. In addition to the transfer of technology from veterans to younger employees, there is now a movement to systematize the skills and experiences of veterans using AI and robots. By analyzing and reviewing the current state of the design/development work processes, we will build the "ideal process" and achieve effective and comprehensive systematization without omissions. This will also lead to a reduction in overall man-hours, including the effects of reducing rework caused by defects. 【Expected Challenges】 - Design man-hours are increasing. - Despite the prevalence of reused designs, man-hours are concentrated on veterans. - We want to stop the occurrence of (minor) defects. - There is a lot of rework due to defects, leading to increased design man-hours and unstable quality. 【Expected Effects】 - Visualizing the design logic of experienced engineers and reflecting it in manuals and design programs. - Ensuring a certain level of quality regardless of who performs the work. - Improving design quality, leading to a reduction in overall man-hours.

• Other services
• Temporary staffing business

Customization of Salesforce system operations and feature enhancements [Expected Issues] - While the initial features implemented are being utilized, there is no capacity to customize existing features or build new ones. - There is a desire to accumulate in-house knowledge about Salesforce, but it's unclear where to start. - The company is unable to manage its Salesforce settings and wants to conduct an inventory. [Expected Benefits] - By outsourcing complex customizations, the company can focus on more critical business operations. - By receiving knowledge transfer, the scope of what can be handled in-house can be expanded. - Visualization of Salesforce settings.

• Temporary staffing business
• Other services

ServiceCloud is a cloud-based platform for call centers and customer support provided by Salesforce.com. 【Expected Challenges】 - Information management across multiple departments and the proliferation of multiple systems, leading to an inability to centrally manage customer information. - Desire to streamline customer inquiry history management. - Want to link the FAQ site with inquiry management. 【Expected Benefits】 - Achieving improved customer satisfaction through the correct centralized management of customer information and the utilization of that data. - Organizing business processes through implementation support. - Acquiring a Salesforce system that matches business processes. - Accumulating in-house know-how through the provision of operational expertise and user training support from our company.

• Temporary staffing business
• Other services

Edge computing is a concept of computing that processes data in real-time on edge devices (terminal side) equipped with AI or on peripheral servers. Since high-speed processing can be performed on the terminal side rather than in the cloud, it is a technology that will become increasingly important in applications for automobiles, where control delays pose a critical risk, and in the proliferation of IoT. [Expected Challenges] - We want to establish high-capacity, high-speed communication facilities to handle large amounts of data through AI analysis. - There are concerns about the risk of information leakage due to sending necessary information for data analysis to cloud servers. [Expected Benefits] - By conducting AI analysis within the terminal, the efficiency of data communication is improved due to a reduction in the information sent to cloud servers. - By conducting AI analysis within the terminal, personal and confidential information is processed, and only quantified data is sent to cloud servers, thereby enhancing security.

• Temporary staffing business
• Other services

The food industry, which is facing a serious labor shortage, is increasingly focusing on the use of robots. In food factories, collaborative robots that work alongside humans, AGVs (automated guided vehicles) for transporting ingredients, and unmanned serving robots in restaurants are all part of the automation efforts that combine new technologies. We support the automation and labor-saving initiatives in food factories through "robot collaboration for labor reduction" and "automation with various conveyors and AGVs." 【Expected Challenges】 - Want to reduce costs through labor-saving and efficiency - Want to increase productivity and sales - Want to reduce human errors and enhance quality value 【Expected Effects】 - Cost improvement (reduction in labor costs) - Revenue enhancement (improvement in lead times) - Quality improvement (prevention of productivity fluctuations due to human errors)

• Transport and handling robots
• Temporary staffing business

Smart logistics, which focuses on linking and streamlining the supply chain from production to consumer using IT technology, is gaining attention. There is a demand for a logistics system that centrally manages the flow of information and goods through a system, ensuring optimal and highly efficient logistics. We support the construction of a system that can comprehensively manage the current delivery status and predictions using AI technology, through the movement tracing of delivered goods utilizing IC tags and GPS information from trucks. 【Expected Challenges】 - Want to visualize delivery status - Want to reduce costs through efficient selection of delivery routes 【Expected Effects】 - Accurate understanding of the current delivery status - High-precision predictions of delivery status using weather information, road congestion information, etc. - Rapid information sharing through centralized management of delivery information

• Other services
• Temporary staffing business

The importance of utilizing robots is increasing year by year in a society facing a declining labor force and an aging population. The evolution of robot technology is expanding its application not only to routine tasks but also to complex, non-routine tasks that were previously performed by humans. We support the smart transformation of factories through initiatives such as "smart transportation through AGV development" and "creating new added value through smartization." 【Expected Challenges】 - Want to reduce costs through labor-saving and workforce reduction - Want to increase productivity and sales - Want to reduce human errors and enhance quality value - Want to efficiently respond to varied and small-lot production 【Expected Effects】 - Reduction of man-hours and costs - Improvement in productivity and yield - Enhancement of product quality - Ability to allocate personnel to tasks that increase the added value of products and services

• Other industrial robots
• Temporary staffing business

By addressing all aspects of circuits, mechanisms, and software within our company, we will achieve a reduction in customer adjustment man-hours and enable rapid development through internal collaboration. 【Expected Issues】 - Difficulties in coordination due to outsourcing circuits, mechanisms, and software separately. - Time-consuming adjustments between circuits and enclosures, as well as between circuits and software, leading to discrepancies. 【Expected Benefits】 - Reduction in management man-hours. - Clarification of total costs and delivery times.

• Other services
• Temporary staffing business

Standardization (Library) Service for Parts Drawings. By creating standard parts, we simplify the drawing creation process. Base Model Construction Service to Accommodate Changes in Destination. We build a base model that allows for dimension changes and other modifications through parameter settings, simplifying the drawing creation process. Design Validity Confirmation Service Utilizing CAE Analysis. We verify the validity of designs through CAE analysis, guiding development in the right direction. 【Expected Issues】 - The number of inquiries is increasing, but creating drawings for estimates takes time, leading to missed opportunities. - Shortened delivery times are progressing, leaving no room in the development schedule. - We want to reduce the man-hours for drawing creation and allocate those hours to new development. 【Expected Effects】 - Improved drawing creation speed. - Reduced missed opportunities through rapid estimate consideration. - Decreased man-hours for drawing creation. - Secured man-hours for new development themes.

• Other services
• Temporary staffing business

As image AI technology evolves, it is being applied in a wide range of scenarios such as crime prevention, quality inspection, infrastructure inspection, and analysis of the movement patterns of people and objects. The combination of image technology and AI enables the analysis of information that cannot be detected by human eyes or senses, allowing for the resolution of various business challenges. (Examples) - Understanding the fatigue levels of bus/truck drivers and preventing accidents through drowsiness detection - Assessing the congestion levels at event venues and facilities - Improving layouts through analysis of human movement patterns [Expected Challenges] - Reducing traffic accidents caused by drivers - Avoiding troubles caused by congestion and queues at facilities - Achieving optimal in-store and sales area layouts through flow analysis - Improving operational efficiency by implementing services that utilize image recognition [Expected Effects] - Reduction of traffic accidents - Judging entry restrictions based on congestion levels and providing a comfortable space through guiding people - Offering a comfortable store environment to customers by improving product placement - Streamlining operations through layout improvements in factories and offices

• Image Processing Software
• Temporary staffing business

In design, CAE analysis is an essential technology for efficiently designing high-quality products. It enables simulations on computers for validations that are difficult to reproduce in real environments, as well as for invisible phenomena such as fluid and thermal flows and electromagnetic fields. The advancement of CAE technology is also progressing in combination with AI technology. 【Expected Issues】 - The parameter adjustments of the computational simulator are becoming personalized, leading to discrepancies and variations from actual machine validations. - It is challenging to achieve the required performance in trade-off relationships, resulting in a high workload. 【Expected Effects】 - Automation of parameter adjustments to minimize discrepancies with actual measurements. - High-precision and rapid decision-making enabled by the exploration of multi-objective optimization solutions and the extraction of insights.

• Other services
• others
• Temporary staffing business

According to the Ministry of Economy, Trade and Industry, the shortage of IT personnel is expected to expand from approximately 170,000 currently to about 790,000 by 2030. In particular, the development of talent in the AI field, where full-scale implementation is accelerating across various industries, has become an urgent issue. For management-level personnel, we also offer workshops that systematically teach methods for identifying challenges unique to DX projects and evaluating their feasibility. 【Expected Challenges】 - There are no personnel with knowledge of AI. - The use of AI has not permeated the field. - Due to a lack of expertise, management and control of outsourcing cannot be done. - There is no leader to promote DX. 【Expected Effects】 - Incorporating AI utilization into management strategy, enabling commitment to investment. - Realization of unique AI development and business expansion. - Increase in employees capable of AI analysis and implementation. - Avoidance of vendor lock-in.

• Management Skills Seminar
• Temporary staffing business

IoT (Internet of Things) refers to the technology that connects various devices to the internet. It is a collection of systems (platform) that aggregates various data from cameras and sensors embedded in devices via a network, allowing software to process big data in real-time and perform optimal control. We support the construction and operation of platforms that integrate machine learning solutions and data infrastructure, from data collection/monitoring and control to comprehensive data management and advanced analysis. 【Expected Challenges】 - There is no infrastructure for accumulating and utilizing data. - The sensing environment is not well established. - Efficient planning and execution of equipment operation are not being achieved. - The causes of abnormalities are not being investigated. - Measures based on advanced data analysis results are not being implemented. 【Expected Effects】 - Data-driven decision-making and cause investigation. - Optimization of equipment operation. - Reduction of setup time. - Investigation of factors causing efficiency decline. - Stabilization of quality and improvement of yield through analysis of defect causes.

• Other services
• Temporary staffing business
• others

Talent management refers to the human resource management method aimed at accurately understanding the abilities and skills possessed by employees (talents) and maximizing the performance of individuals and organizations through capability development, personnel evaluation, and strategic talent allocation. It is essential to centrally manage employee capabilities and leverage them for management purposes. By optimizing talent allocation, recommending skill upgrades, automating recruitment screening, and scoring resignation risks, we will realize a data-driven HR strategy through data-based decision-making support and automation of HR operations. 【Expected Challenges】 - Unable to establish data-driven HR strategies due to lack of integrated management of talent data. - Progress on reskilling employees in response to changes in the business environment is stalled. - Inefficiencies in HR operations are not being addressed. - Unable to implement measures to improve employee engagement. 【Expected Effects】 - Enables data-driven HR decision-making. - Increases efficiency in HR operations. - Builds organizations and teams based on future predictions. - Enhances employee engagement.

• Temporary staffing business
• Other services
• others

In the manufacturing field, it is not an exaggeration to say that improving product quality and yield is one of the factors that can influence management. By linking the quality of products with the condition of equipment through data, and applying the optimal parameters to manufacturing devices based on the statistical data obtained from this, we can achieve yield improvement and high-quality manufacturing. 【Expected Issues】 - Young team members struggle to create effective experimental plans in product development. - It is unclear which parameters influence product quality, making it difficult to determine what to modify to improve performance. 【Expected Effects】 - Reduction of work time through semi-automated generation of experimental plans using experimental planning knowledge AI. - Performance improvement through the extraction of quality-determining parameters via factor analysis.

• Other services
• others

The era of "IoT" is upon us, where various sensors are connected to devices and equipment, and the data obtained there is analyzed by AI and utilized in management. With the technology for predicting abnormalities in production equipment, the manufacturing industry can now collect and analyze sensor data installed in factory production equipment using IoT technology, allowing for the early detection and response to equipment troubles, thereby avoiding risks and increased costs due to equipment downtime. 【Expected Issues】 - Equipment on the critical path must not break down, so inspections and parts replacements are frequently conducted, but this may be excessive. - It takes time to determine the causes when a failure occurs. 【Expected Effects】 - Reducing excessive maintenance through maintenance based on the degree of abnormality of the equipment. - By estimating abnormal causes with the anomaly detection model, time can be saved in the procurement and preparation of repair parts.

• Other services
• others

The appearance inspection of industrial products has traditionally been carried out by inspectors using their hands and eyes, but with AI and image recognition technology, it is now possible to conduct inspections with high precision, in real-time, and at reduced human costs. By installing cameras and sensors on the production line and implementing inspections through AI analysis, human errors can be eliminated, thereby reducing the risk of defective products entering circulation. 【Expected Challenges】 - A large number of personnel and locations are required for appearance inspections, which has become a bottleneck as we want to increase production quantities. - Variability in inspection quality occurs due to the experience levels of inspectors, necessitating multi-stage inspections. 【Expected Benefits】 - Space-saving is achieved through AI judgment, allowing for easy adaptation to fluctuations in production volume. - Stabilization of inspection quality through model unification.

• Other services
• others

With the evolution of image recognition and AI technology, it has become possible to accurately capture human movements in real-time. Action/behavior recognition of individuals is being utilized in various fields, including visualizing movement lines in factories and preventing accidents, as well as marketing analysis in stores and various facilities. 【Expected Challenges】 - Detect abnormal behaviors such as workers' falls - Confirm whether there are any inefficiencies in workers' tasks - Optimize material placement by visualizing movement lines 【Expected Effects】 - Reduction of accident damage through early alerts - Improvement of productivity through enhanced work efficiency - Reduction of movement costs by arranging materials according to tool usage frequency

• Other image-related equipment
• Other services
• others

As represented by automobiles, the complexity and scale of embedded software are increasing, leading to advancements in development efficiency through model-based development and simulation. Automation of verification in SILS and HILS can significantly reduce testing man-hours. 【Expected Challenges】 - We want to conduct system verification efficiently to reduce market defects, but we have limited knowledge and a shortage of personnel. - We want to perform efficient verification for multiple test subjects. - We want to reduce the man-hours of manual testing through labor-saving and automation. 【Expected Effects】 - We can comprehensively handle the selection of HW/SW necessary for HILS construction and the establishment of an automated verification environment. - Verification of the HW/SW required for HILS can be conducted based on the HW specifications of the ECU provided by the customer. - Reduction of man-hours through the establishment of an automated verification environment.

• others
• Other services

HILS (Hardware-In-the-Loop Simulation) is a simulator that creates a virtual environment capable of simulating the behavior of actual equipment being controlled, allowing for real-time simulation of the performance of the ECU (controller). It enables the execution of various test patterns while setting arbitrary parameters, leading to improvements in product development quality, reductions in development time, and cost savings. 【Expected Challenges】 - There is a desire to build a HILS for system verification to reduce market defects, but there is limited knowledge and a shortage of personnel. - There is a debugging device for a single ECU, but there is no verification environment for multiple ECUs. - There is no knowledge of the HW/SW required for HILS construction. - There is a desire to reduce the labor involved in manual testing through automation. 【Expected Benefits】 - Comprehensive support for selecting the necessary HW/SW and building an automated verification environment for HILS construction. - HILS construction enables integrated verification of HW/SW. - Shortening of the development period through verification in a virtual environment.

• Other services
• others

In Model-Based Development (MBD), modeling of the plant model (the controlled side) and the control model/controller model (the controlling side) is necessary. Extensive knowledge of physical mathematics and a deep understanding of the controlled object are required, and MBD modeling, which describes physical behavior with mathematical models, is becoming increasingly important in recent product development. 【Expected Issues】 - Want to advance MBD but lack the necessary models - Unable to create the plant model for the controlled object - Models not created according to guidelines 【Expected Benefits】 - Ability to create models in line with industry standards - Increased efficiency in model creation through the establishment of guidelines - Reduction of rework in the design and development process

• Other services
• others
• Other contract services

MBSE (Model-Based Systems Engineering) refers to systems engineering that progresses using models. It is particularly being adopted in complex and large-scale system development in areas such as automotive, aerospace, defense/military, and railways. It enables efficient product development while conducting simulations using mathematical models. 【Assumed Challenges】 - We want to apply MBSE in system development to reduce market defects, but we have limited knowledge and insufficient personnel. - We cannot conduct comprehensive normal tests and stress tests because there is no system design document. - There are no designers who understand the interconnection specifications between ECUs. - We are limited to tests that can only be conducted using vehicles. 【Assumed Benefits】 - It is possible to handle everything from requirements analysis to system testing in a seamless manner. - Output of system design documents using SysML (not in natural language). - It is possible to build a system verification environment based on the system design document. - Efficient identification of defect locations is possible using the verification environment.

• Other Auto Parts
• Other assembly machines
• Other services

We will support you with the overall organization of tasks related to the implementation of Salesforce, initial setup, functionality development, and user training.

• SFA/Sales Support System
• Temporary staffing business