This R&D initiative will build an open development platform enabling diverse robots at construction sites—such as those for material transport, fireproof coating, surveying, and cleaning—to use common functional modules in combination. This will allow robot manufacturers and system integrators to freely add and expand modules, helping to address the shortage of skilled workers and accelerate the adoption of robotics in the construction industry.

※1 This project is being conducted under NEDO’s (New Energy and Industrial Technology Development Organization) “Research and Development Project of the Enhanced Infrastructures for Post-5G Information and Communication Systems: Building a Software Development Platform for Robotics” (commissioned)
https://www.nedo.go.jp/news/press/AA5_101875.html (Japanese only)

※2 Kudan Selected for NEDO’s Open Call: “Research and Development Project of the Enhanced Infrastructures for Post-5G Information and Communication Systems: Building a Software Development Platform for Robotics”
https://www.kudan.io/blog/kudan-selected-for-nedos-open-call/

Background of the Development

The construction industry is facing a serious shortage and aging of skilled workers, raising expectations for solutions through Robotics Transformation (RX) technologies. However, at present, each vendor develops its own robots independently, creating challenges such as a lack of interoperability and high development costs.

Building on the expertise accumulated through the activities of the Construction RX Consortium※3 (comprising over 300 member companies as of the end of August 2025), there is an urgent need to establish an open development platform to address these issues.

※3 A private-sector organization established to promote Robotics Transformation (RX)—the use of construction robots, IoT applications, and related technologies—to address critical challenges facing the construction industry, such as a declining workforce, and the need to improve productivity and safety

Overview of the Development

Through the following six research and development initiatives, we will build a software development platform for construction robotics.

1. Overall Architecture Design (TAKENAKA)

• Designing an architecture that integrates all components of a robot, from mechanical hardware to software
• Creating an architecture that can be commonly used across robots from different manufacturers

2. Software Function Development (Kudan)

• Developing technologies that enable robots to accurately recognize their position and navigate autonomously, even at constantly changing construction sites
• Building systems that allow multiple robots to coordinate and perform tasks efficiently.

3. Hardware Function Development (JIZAIE)

• Developing a standardized mobile unit adaptable to various construction tasks
• Designing a structure that enables easy installation and replacement of sensors and control devices

4. Communication Infrastructure (Asratec)

• Establishing a stable communication system combining multiple methods such as 5G, Wi-Fi, and mesh networks
• Developing a communication platform that flexibly adapts to environmental changes at construction sites (e.g., varying obstacles).

5. Pre-Verification Technology in Virtual Space (Akari)

• Reproducing actual construction sites with high precision in a computer environment to test robot operations in advance
• Creating realistic work environment simulations linked with building design data (BIM/CIM).

6. Operational Support and Management Tools (SENSYN ROBOTICS)

• Developing a management system for centralized monitoring and control of multiple robots
• Providing a standardized interface that enables unified operation of robots from different manufacturers

Future Outlook

This R&D initiative aims to reduce the development and operational costs of robotic systems. In collaboration with the “Digital Robotics System Technology Platform Project,” we will verify the practicality of the platform through demonstrations involving multiple robotic systems.

Looking ahead, the platform established in the construction industry will be extended to other sectors, contributing to strengthening the international competitiveness of Japan’s robotics industry.

About Kudan Inc.
Kudan leads the advancement of next-generation solutions such as robotics, autonomous driving, and digital twins through research and development, as well as the provision of spatial perception algorithms that connect the physical and digital worlds. Originating from the United Kingdom, Kudan is a global company that, with innovative artificial perception technology (the “eyes” of machines) at its core. By extending the application of artificial intelligence from the digital space into the physical space, Kudan aims to fundamentally solve social issues and dramatically improve productivity by promoting automation, unmanned operation, and remote accessibility across all industries.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■Contact Information
For more details, please contact us from here

The post Launching R&D on a Software Development Platform for Construction Robotics ~Building a Common Platform to Enable Seamless Robot Collaboration and Accelerate Digital Transformation in the Construction Industry~ first appeared on Kudan global.

Kudan Inc. (hereinafter “Kudan”), together with its partner XGRIDS, is pleased to announce its contribution to Asahi Broadcasting Group’s special exhibition on the theme of disaster prevention at Expo 2025 Osaka, Kansai. Together, the two companies contributed to delivering a cutting-edge, photo-realistic 3D visual experience that brings disaster learning to life.

At the centrepiece of the exhibition, the VR Dome Theater Disaster Experience allows visitors to immerse themselves in a vivid recreation of a disaster site. Kudan and XGRIDS played a key role in producing this experience by employing Lixel CyberColor (hereinafter “LCC”), an advanced 3D reconstruction technology. Using this, the companies helped to faithfully reproduce the destruction and subsequent recovery of JR Kobe Line’s Rokkomichi Station during the Great Hanshin-Awaji Earthquake with striking photo-realism.

Built on 3D Gaussian Splatting (3DGS), LCC delivers a level of realism and immersion far beyond conventional 3D imaging. It also enables free-viewpoint interaction, offering a groundbreaking level of realism in video production and user experience.

Kudan strongly supports the mission of this exhibition: “Deepening learning on disaster prevention and mitigation to design a safer future.” Looking ahead, Kudan will continue to leverage Lixel CyberColor (LCC) powered by 3D Gaussian Splatting (3DGS), alongside its Kudan PRISM digital twin platform to deliver value and contribute to society across the following areas:

• Disaster Simulation and Evacuation Planning
  By simulating floods, earthquakes, and other large-scale disasters within a digital twin, Kudan enables predictive damage assessment, 3D verification of evacuation routes, and prioritization of emergency recovery actions.
• Decision-Making Support in the Field
  AI-powered analyses of potential hazards and damage estimates can be overlaid on photo-realistic 3D environments. This allows governments, operators, and residents to share a unified perspective, accelerating decision-making and reducing delays in planning and response.
• Education and Public Awareness Programs
  In collaboration with schools, municipalities, and broadcasters, Kudan will provide interactive VR screenings and large-scale immersive curricula. Through photo-realistic disaster experiences, the company aims to pass on disaster-prevention awareness to the next generation.

Event Overview

• Title: ABC Group – A Future Vision of Disaster Prevention to Share with the World
• Dates: September 1st (Mon, Disaster Prevention Day) – September 4th (Thu), 2025
• Theme: Experiencing the Reality of Disasters and Deepening Learning on Prevention and Mitigation
• Venue: Expo 2025 Osaka, Kansai – Gallery WEST (Exhibition Room 1, Exhibition Room 2, Outdoor Exhibition Space)
• Organizers: Asahi Broadcasting Group Holdings Corporation, and others
• Event Website (Japanese Only):
  https://www.asahi.co.jp/bosai/event2025/
  https://www.expovisitors.expo2025.or.jp/events/822375a8-539d-4ac0-84d3-207224660b1d

VR Theater: The Damage and Recovery of Rokkomichi Station

About Kudan Inc.
Kudan leads the advancement of next-generation solutions such as robotics, autonomous driving, and digital twins through research and development, as well as the provision of spatial perception algorithms that connect the physical and digital worlds. Originating from the United Kingdom, Kudan is a global company that, with innovative artificial perception technology (the “eyes” of machines) at its core. By extending the application of artificial intelligence from the digital space into the physical space, Kudan aims to fundamentally solve social issues and dramatically improve productivity by promoting automation, unmanned operation, and remote accessibility across all industries.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■Contact Information
For more details, please contact us from here

The post Kudan Supports Asahi Broadcasting Group’s Special Exhibition at Expo 2025 Osaka, Kansai first appeared on Kudan global.

1. Solution Overview and Key Features

In the field of maintaining bridges, tunnels, plants, and urban infrastructure, the challenges of aging assets and a shortage of skilled personnel are becoming increasingly severe. There is a growing need to balance highly accurate condition assessment with efficient maintenance operations. Conventional “3D point cloud-centric” solutions have faced significant issues, including large data sizes, slow rendering and limited operability, and difficulties in data integration.

Kudan PRISM is a platform developed to address these challenges and accelerate digital transformation (DX) in the field. It enables the rapid generation and utilization of lightweight, photo-realistic 3D digital twins enriched with semantic information,aking it intuitive and easy for anyone to share and analyze spatial information that was previously difficult to handle.

The solution can be applied across a wide range of fields, including facility and asset management, infrastructure inspection, robotics simulation, and smart city initiatives. Combining smooth, photo-realistic 3D visualization with Kudan’s Spatial Intelligence technology and AI-driven automation, it delivers an end-to-end workflow, from classification, tagging, and analysis of managed assets to intuitive data management and seamless information integration, enhancing operational efficiency and service quality through automation.

Kudan PRISM – Product Demonstration Video (Youtube)

Key Features

Rapid generation and smooth operation of photo-realistic 3D
Leveraging the latest 3D Gaussian Splatting and spatial intelligence technologies, Kudan PRISM delivers lighter and smoother rendering than point clouds, while maintaining high visual fidelity. It runs smoothly even on standard laptops and tablets, faithfully recreating real-world site conditions.

Adaptable to diverse scanning methods for any site environment
Through collaboration with XGRIDS, data can be captured using handheld devices, drones, or robot-mounted systems, tailored to the specific environment. Additionally, it eliminates the need for fixed-point shooting, thereby enabling high-precision 3D modeling of large areas in a short time.

Seamless scalability as sites increase
Easily scale from a single-site pilot to multi-site or company-wide deployment. Access the same information across PCs, tablets, and smartphones, enabling real-time decision-making between on-site teams and headquarters.

“Consolidate information into 3D” to eliminate search time
Manage asset attributes, metadata, drawings, SOPs, and inspection history all within the 3D environment. Whether on-site or remote, instantly access the information you need to support quick searches and operational decisions.

AI-driven automatic identification to improve efficiency and accuracy
Automatically identifies asset types, as well as signs of deterioration or anomalies. Reduces workload while supporting prioritization of repairs and improving overall quality.

Smooth and centralized information sharing
Attach work instructions, SOPs, photos, notes, and conversation threads directly to equipment rendered in the 3D space. Centralizes team communication to ensure smooth collaboration.

Seamless integration with existing systems
Integrates with existing systems (CAFM, SCADA, etc.) and BIM/CIM platforms to optimize workflows end-to-end.

Flexible deployment options with robust security
Available as SaaS, private cloud, or on-premises deployment. Fine-grained viewing and editing permissions can be configured to ensure secure operations in compliance with corporate governance standards.

Kudan PRISM Demo – AI Powered Automatic Asset Detection

Kudan PRISM Demo – Tunnel Maintenance & Inspection

2. Expected Benefits

Quick, Cost-Effective, and Frequent Insight into On-Site Conditions
Generate lightweight, photo-realistic 3D models in a short time. Keep data continuously updated through differential updates, reducing the need for repeated on-site checks or revisits.

Cost Reduction through Operational Efficiency
By making the 3D photo-realistic model the “single, trusted source of truth” within the organization, it reduces the time and effort spent searching, verifying, and entering information – cutting labor, travel, and rework costs.

Improved Quality and Uptime
AI and standardized procedures ensure consistent inspection quality. Detect and address failures early, shortening downtime and contributing to stable equipment operation.

Visualization and Improvement of Risks and ESG Performance
Identify risks to critical equipment and simulate potential impacts in 3D during disasters, while contributing to CO₂ reduction by minimizing business trips and routine patrols.

Addressing Labor Shortages through Knowledge Transfer
Capture the expertise of veteran staff as annotations and templates within the 3D environment, enabling faster onboarding of new personnel and ensuring consistent quality across multiple sites.

3. Target Use Cases

A. Asset Management: Centralized management of facility and equipment asset information to improve operational efficiency

Challenge:
When managing multiple sites and diverse types of equipment assets using paper or Excel, there is a risk of delays in updating the latest information and sharing it among team members.

Kudan PRISM Solution Examples:
Link asset location, model type, and maintenance history to a photo-realistic 3D model with automatic identification and management
Instantly check the latest on-site conditions from a PC or tablet
Optimize maintenance planning and parts procurement, reducing unnecessary site visits

Example Impact:
Reduce maintenance workload by 30 – 50% and enable same-day updates to asset information.

B. Infrastructure Inspection & Maintenance: High-precision automatic detection and visualization of structural deterioration, and differential comparison for progression tracking

Challenge:
Inspection work in large-scale and hazardous environments is costly and high-risk, with deterioration monitoring relying heavily on human visual checks.

Kudan PRISM Solution Examples:
Scan large areas in a short time using drones or autonomous robots
Automatically detect cracks, rust, and paint peeling via AI analysis
Visualize deterioration progression through 3D differential comparison with past data

Example Impact:
Reduce on-site inspection time by 80% and improve anomaly detection accuracy by 20 – 30% compared to human inspection.

C. Urban Planning, Disaster Management, and Traffic Control

Challenge:
Delays in interdepartmental information sharing and decision-making lead to prolonged planning and disaster response times.

Kudan PRISM Solution Examples:
Create a photo-realistic 3D model of entire districts, integrating road, building, and infrastructure data
Conduct disaster simulations, evacuation route design, and traffic flow analysis
Enable online sharing and real-time updates between departments

Example Impact:
Shorten planning periods from several weeks to a few days and enable immediate updates to response plans when a disaster happens.

D. Robotics Development: Simulation environments for AMRs and industrial robots

Challenge:
Developing navigation in real environments imposes significant constraints, and real-world testing requires extensive man-hours.

Kudan PRISM Solution Examples:
Quickly convert actual factories and warehouses into photo-realistic 3D models to verify path planning and obstacle avoidance algorithms in a virtual environment
Evaluate operational stability and efficiency in a realistic virtual environment before deploying in the field

Example Impact:
Shorten development time by 30 – 50% and significantly reduce defect occurrence before deployment.

(*Note) Impact figures are based on Kudan’s case studies and testing. Results may vary depending on deployment scale, target assets, and functions used.

4. Pricing Model and Deployment Options

Kudan PRISM is offered under the following pricing model:

• Initial Setup Fee
• Basic Usage Fee: Subscription (SaaS)
• Optional Add-ons: AI Analysis Pack, API/System Integration Pack, Additional User Pack

We also offer technology provision through licensing agreements.

Deployment options can be selected based on the customer’s operational environment:

• SaaS (Kudan cloud infrastructure)
• Private Cloud (customer’s own cloud infrastructure)
• On-Premises (customer’s own IT equipment)

Please use the form below to request materials or obtain detailed pricing information:
Kudan PRISM Inquiry Form

About Kudan
Kudan leads the advancement of next-generation solutions such as robotics, autonomous driving, and digital twins through research and development, as well as the provision of spatial perception algorithms that connect the physical and digital worlds. Originating from the United Kingdom, Kudan is a global company that, with innovative artificial perception technology (the “eyes” of machines) at its core. By extending the application of artificial intelligence from the digital space into the physical space, Kudan aims to fundamentally solve social issues and dramatically improve productivity by promoting automation, unmanned operation, and remote accessibility across all industries.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■Contact Information
For more details, please contact us from here

The post Kudan Launches Next-Generation Digital Twin Solution “Kudan PRISM” ~ Accelerating Digital Transformation in Facility and Asset Management with Photo-Realistic 3D Visualization and Advanced Spatial Intelligence ~ first appeared on Kudan global.

Through this system, on-site information will be comprehensively and instantly aggregated in the command center via digital twins reflecting all sensor data, enabling real-time decision-making and precise management. This initiative will accelerate digital transformation in the shipbuilding industry.

Past Achievements of the Collaboration

– Enhancing Smart Patrol and Safety Monitoring

Through their ongoing collaboration, the two companies have significantly enhanced digital monitoring capabilities within shipyard environments. AI-driven analysis of sensing data has led to improvements in hull installation accuracy and operational safety. Additionally, the stock detection system automatically monitors the storage status of hull components, reducing human error and optimizing production scheduling.

The fall detection model monitors worker movements during patrols and instantly detects incidents such as falls or slips, triggering immediate alerts. Furthermore, the safety incident monitoring system uses AI models to detect abnormal behavior, safety incidents, rule violations, and equipment anomalies. It provides both alerts and visual records, significantly enhancing accident prevention capabilities.

In addition, technologies such as license plate recognition and access control strengthen the tracking and management of vehicle and personnel entry and exit, achieving both improved safety and operational efficiency.

– Building a Digital Twin Command Center and Integrating AI Analysis

At the core of the two companies’ collaboration is the construction of a “Digital Twin Command Center” that consolidates all sensor and AI analysis data into a unified platform. The predictive maintenance system uses AI to monitor compressor operations and forecast anomalies. These machines play a vital role in shipbuilding, heavy industry, and energy sectors, sometimes accounting for 30–50% of total factory power consumption due to their long operational hours.

Optimizing operating parameters through AI and data analysis reduces energy consumption, extends equipment lifespan, and prevents unplanned downtimes, thereby enhancing production stability.

Conceptual Image of a Digital Twin Command Center for Intelligent Shipyards

– Real-Time Response Enhancement with Edge AI

To improve on-site management efficiency, this integration includes Edge AI, enabling real-time processing and response to sensor data. Safety-related anomalies can be rapidly reported to the command center, allowing for immediate judgment and action by administrators.

Moreover, the integration of SLAM technology and mobile sensing systems facilitates real-time 3D environmental modeling, strengthening the ability to pinpoint hull positions, manage equipment, and monitor safety. Enhanced data integration enables comprehensive visualization of all shipyard elements on the digital twin.

Future Outlook: Driving Full-Scale Digitalization of Next-Generation Intelligent Shipyards

Through the deepening of this technological collaboration, Kudan and MacroInsight will jointly accelerate the development of digital twin systems for intelligent shipyards. The partnership will enhance interoperability between on-site equipment and sensors, further supporting the visualization of production data and intelligent decision-making.

Additionally, by leveraging AI and edge computing, the capabilities for real-time analysis in patrol inspection and backend management will advance, driving greater efficiency in data processing. Looking ahead, the system is expected to provide real-time monitoring, anomaly simulation, and risk forecasting functions, elevating automation management standards in intelligent shipyards.

Deployment of this technology in intelligent shipyards is planned for this year and beyond. The collaboration also envisions expanding into other high-energy-consuming manufacturing industries, setting new standards for industrial digital transformation and ushering in the next phase of smart industry.

About MacroInsight Innovation Ltd.
MacroInsight is a technology startup specializing in image and data analysis. The company focuses primarily on smart healthcare, developing AI-powered automated diagnostic support systems and medical quality assessment tools to help improve diagnostic accuracy and streamline clinical workflows. Beyond the medical field, MacroInsight is expanding into areas such as energy, agriculture, and smart manufacturing, providing sustainable solutions by integrating AI, IoT, and big data analytics. The company is committed to driving industrial advancement through technological innovation while actively pursuing both environmental sustainability and social value.

About Kudan Inc.
Kudan is a leading provider of Spatial Perception technologies, enabling next-generation solutions in mobile mapping, digital twins, robotics, and autonomous driving. With its advanced visual navigation and spatial perception technologies, Kudan is at the forefront of digital transformation, empowering businesses to bridge the physical and digital worlds seamlessly, and ensuring scalable deployments of autonomous machines in dynamic environments with great accuracy and reliability.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■Contact Information
For more details, please contact us from here

The post Kudan and Taiwan-based MacroInsight deepen their collaboration, advancing the application of Digital Twin Command Centers in next-generation intelligent shipyards first appeared on Kudan global.

In recent years, the aging of drivers and a severe labor shortage have significantly impacted supply chains in developed countries, including Japan. This challenge extends beyond public road transport, affecting intra-factory logistics, and highlighting an urgent need for supply chain optimization. As industries strive to seamlessly connect factory operations with external environments and advance the concept of smart factories, the global demand for autonomous mobility technology is expected to grow substantially.

Amid these circumstances, while the need for efficiency in transport operations is increasing, there remain significant challenges in achieving high-precision autonomous mobility in environments where GNSS (Global Navigation Satellite Systems) is ineffective, such as indoor facilities or hybrid environments spanning both indoor and outdoor areas.

This project also faced similar challenges. While GNSS was sufficient for a certain level of autonomous mobility outdoors, realizing autonomous mobility in indoor or hybrid environments presented technical hurdles.

To address these challenges, Kudan conducted a demonstration experiment using its proprietary artificial perception technologies, Visual SLAM and 3D-Lidar SLAM. The experiment successfully achieved the targeted localization accuracy of within 10cm in indoor environments.

In addition, the following strengths of Kudan’s SLAM technology were confirmed during this project:

1. High Technical Flexibility
   Kudan SLAM can be easily retrofitted to existing vehicles and systems, minimizing the need for new investments while enhancing performance
2. Adaptability to Changing Environments
   Even in dynamic indoor environments, such as factories where conditions change significantly due to inventory fluctuations, Kudan SLAM enables high-precision localization using a single pre-generated 3D map.
3. Scalability of Technology
   Kudan SLAM is not limited to indoor environments but can also seamlessly support autonomous mobility in outdoor or hybrid environments, enabling deployment across diverse industrial sectors.

Building on these results, Kudan aims to expand the scale of its demonstrations and conduct further verifications in more complex environments, working toward the transition to full-scale operational deployment. Furthermore, Kudan will continue to support operational efficiency in a wide range of industries by leveraging robotics and digital twin technologies, driving innovation to meet societal needs with cutting-edge solutions.

About Kudan Inc.
Kudan is a deep tech research and development company specializing in algorithms for artificial perception (AP). As a complement to artificial intelligence (AI), AP functions allow machines to develop autonomy. Currently, Kudan is licensing its technology for next-generation solution areas such as digital twin, robotics and autonomous driving.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■For more details, please contact us from here.

The post Kudan Collaborates with a Leading Manufacturer to Successfully Complete Autonomous Mobility Demonstration Experiment with Accuracy Within 10cm – Addressing the Growing Demand for Automation in the Logistics Sector first appeared on Kudan global.

Kudan has been actively engaging in joint product development and promotion with Vecow, starting with the establishment of a strategic partnership in 2020 and the launch of a development kit for digital twins integrating both companies’ core technologies in 2023.

This time, in addition to providing technology for digital twins, Vecow is launching the VTK SLAM Kit, a solution kit for autonomous mobile robots, which is experiencing rapid growth in demand.

The VTK SLAM Kit, optimized for various autonomous vehicles and Real-Time Location Systems (RTLS), is an industrial-grade software-hardware integrated kit. By integrating KudanSLAM’s industry-leading accuracy and stability in positioning and 3D mapping, the VTK SLAM Kit enables the implementation of diverse robotic solutions that were previously challenging to implement with conventional spatial perception technologies, thereby accelerating the societal implementation of robotics.

Solution Highlights of VTK SLAM Kit:

• 3D-LiDAR based SLAM or Visual/camera based SLAM software is pre-installed for mapping and positioning functionalities.
• Capable for multi-sensor fusion, including IMU, GNSS, Wheel Odometry, 2D-LiDAR, multiple cameras or multiple 3D-LiDARs
• Quickly access to best-in-class localization and mapping technology, and help accelerate the development of products and solutions that need accurate and reliable position tracking in both indoor and outdoor environments.
• Perpetual software license is granted. Users can use the solution kit without time limitations.

Comment from both companies:
Partnering with Vecow on the VTK SLAM Kit leverages our advanced SLAM technology to offer quick access to best-in-class mapping and localization solution for navigation in complex environments. This collaboration underscores our commitment to delivering cutting-edge SLAM software that meets the evolving needs of industries such as robotics and autonomous systems. By integrating our technology with Vecow’s sophisticated hardware, we are paving the way for enhanced innovation and efficiency in automation applications.

― Tian Hao, Chief Operating Officer at Kudan

Vecow and Kudan have a well-established history of collaboration in AMR applications. This expanded partnership takes advantage of Kudan’s specialized SLAM technologies. By integrating Vecow’s high-performance system with Kudan’s technologies, we have enhanced the VTK SLAM kit. This integration will enable our customers in the mobile robotics sector to achieve faster time-to-market. Additionally, we are committed to further increasing the adoption of the VTK solution as a key outcome of this partnership.

― Bryan Huang, Product Manager at Vecow

Please refer to link below for product details:
https://www.vecow.com/dispPageBox/vecow/VecowCT.aspx?ddsPageID=PRODUCTDTL_EN&dbid=5470100185

About Vecow Co., Ltd.
Vecow is a team of global embedded experts and we aim to be your trusted embedded business partner. Vecow is committed to designing, developing, producing, and supplying high quality AIoT solutions with trusted reliability, advanced technology, and innovative concepts. Our products include: AI-ready Inference Systems, AI Computing Systems, Fanless Embedded Systems, Vehicle Computing Systems, Robust Computing Systems, Single Board Computers, Multi-Touch Computers/Displays, Frame Grabbers, Embedded Peripherals and Design & Manufacturing Services for Machine Vision, Autonomous Vehicle, Smart Robotics, Digital Rail, Public Security, Transportation & V2X, Smart Factory, Deep Learning, and any Edge AI applications.
Vecow is a subsidiary of Ennoconn Corporation (6414. TW) in Taiwan, a global leader of industrial hardware systems and solutions provider to various vertical market applications. Ennoconn Corporation is a member of the Foxconn Group.

For more information, please refer to Vecow’s website at
https://www.vecow.com/dispPageBox/vecow/VecowHp.aspx?ddsPageID=VECOW_EN

About Kudan Inc.
Kudan is a deep tech research and development company specializing in algorithms for artificial perception (AP). As a complement to artificial intelligence (AI), AP functions allow machines to develop autonomy. Currently, Kudan is licensing its technology for next-generation solution areas such as digital twin, robotics and autonomous driving.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■For more details, please contact us from here.

The post Vecow has decided to release the Robot Solution Kit with Kudan’s Artificial Perception technology first appeared on Kudan global.

In Europe, Kudan has established a collaborative partnership with STS Group to provide solutions for digital twins in the mapping area (Digital Asset Management Solution, hereafter “DAMS”), and has been in discussions with energy companies and a facility management companies to implement DAMS for DX of major power infrastructures (Reference: Notification Concerning Initiatives and Future Plan Outlook for Digitalization of Major Electric Power Infrastructures in Europe (December 18, 2023)).

Under these circumstances, the EU-led Green Deal Policy (*) of shifting to renewable energy and reducing dependence on Russian natural gas has led to a rapid expansion of investment and new construction of energy infrastructure in various regions in Europe. This rapidly growing demand throughout the EU for GX (Green Transformation) and DX (Digital Transformation) such as promotion of digital twins, has resulted in agreement of several orders for Kudan’s DAMS for facilities management, operations, and maintenance of major power infrastructures.

As for the orders agreed at the moment, they are largely driven by increased entry and investment in the EU region from global markets, led by solar and electrical equipment manufacturing groups as well as energy investment and real estate conglomerates, headquartered in Asia. During the current financial year ending 31 March 2024, orders are expected to be received for large-scale solar power plants and infrastructure totaling 500 MW scale within the European region (including a transmission network of over 100 km and approximately 10 large-scale substations), and they are planned to start operating in 2024.

In addition, toward orders in the next fiscal year and beyond, the discussions and plans are underway to expand the deployment of the currently agreed projects to large-scale gigawatt-scale solar power plants and infrastructure (including a transmission network of over 300 km and approximately 30 large-scale substations) as well as further expansion with other major power infrastructure, public and manufacturing sectors.

Kudan will continue to work with its business partners and governments to further expand the business development of DAMS and promote GX and DX through social implementation of our technologies.

（*）European Green Deal Policy: A comprehensive roadmap to achieve both decarbonization and economic growth, aiming for zero carbon emissions by 2050, with over 40 trillion yen of investment proposed annually by both private and public sectors. In the energy sector, which is at the core of the plan, the major guiding principles are the shift to renewable energy sources such as solar and wind power, and the digitization of the energy system.

About Kudan Inc.
Kudan is a deep tech research and development company specializing in algorithms for artificial perception (AP). As a complement to artificial intelligence (AI), AP functions allow machines to develop autonomy. Currently, Kudan is using its high-level technical innovation to explore business areas based on its own milestone models established for deep tech which provide wide-ranging impact on several major industrial fields.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■For more details, please contact us from here.

The post Notification Concerning Progress in Orders Received for Digitization Projects of Major Power Infrastructure in Europe first appeared on Kudan global.

The solutions business is a business in which Kudan collaborates with system development companies, application development companies, hardware manufacturing companies, mapping service companies, and other partners to package and provide Kudan’s artificial perception/SLAM algorithms into solution services that can be used by end customers.

In Europe, Kudan has established a collaborative partnership with STS Engineering and Construction Kft., a renewable energy engineering, procurement, and construction company headquartered in Hungary (Reference: Kudan Announces Strategic Partnership with STS Group to Jointly Expand Digital Asset Platform Solution Business towards European Municipality and Utility Infrastructure Sectors (November 14, 2023)), to provide solutions for digital twins in the mapping area (Digital Asset Management Solution, hereafter “DAMS”), and furthermore, Kudan has been discussing with several customers to start DAMS projects.

In the European market environment, the Council of the European Union and the European Council Meeting have strengthened the political policy of emphasis on renewable energy by raising the 2030 renewable energy ratio target to 42.5%. In response, plans for new large-scale renewable energy power plants, such as mega solar power plants, and capital investment in power grids are expanding across countries in Europe.

With this background, Kudan has been working with energy companies and facilities management companies to develop a plan to implement its DAMS for the DX of major power infrastructure, targeting power grids and substations.

DAMS is a one-stop digital solution that generates a digital twin of facilities, and based on the digital twin, realizes facilities management planning, asset data management, operation and maintenance, and project management. This solution significantly improves the efficiency, reduces costs, and adds value to facilities management operations as follows.

EFFICIENCY IMPROVEMENT AND COST REDUCTION:

• 10x ~ 20x faster asset data collection and processing time
• 30% ~ 50% less search time for asset data and avoid physical facility visit
• 2x ~ 5x efficiency improvement for asset data utilization
• 20% ~ 40% productivity increase of facilities management operation

INNOVATION REALIZATION:

• Expand the type of assets that can be managed
• Generate new business through information sharing and interdivisional cooperation
• Decentralize the maintenance works and activities
• Enable Total Productive Maintenance (TPM)

With the backing from the digitalization strategies of European countries, Kudan and the following companies are currently working together to formulate plans and close contracts for the DX by DAMS implementation by 2026, targeting approximately 2,000 km of power grid, approximately 200 substations, and many other facilities.

• E.ON SE (One of the world’s leading energy companies headquartered in Germany)
• MAVIR Ltd. (Hungarian state-owned company and part of the MVM group, Europe’s major energy company)
• SolServices Ltd. (Part of Polat holding, a major real estate company headquartered in Turkey)
• Other world leading companies in facilities management, etc.

In addition, the demand for DX for facilities management is growing in the public and manufacturing sectors, and Kudan will work with European governments to expand its business to meet this demand.

• Public sectors: Public buildings, transportation-related facilities, roads, green spaces/parks, airports/harbors, etc.
• Manufacturing sectors: Manufacturing facilities, Energy facilities, , Building facilities, etc.

About Kudan Inc.
Kudan is a deep tech research and development company specializing in algorithms for artificial perception (AP). As a complement to artificial intelligence (AI), AP functions allow machines to develop autonomy. Currently, Kudan is using its high-level technical innovation to explore business areas based on its own milestone models established for deep tech which provide wide-ranging impact on several major industrial fields.
For more information, please refer to Kudan’s website at https://www.kudan.io/.

■Company Details
Name: Kudan Inc.
Securities Code: 4425 (TSE Growth)
Representative: CEO Daiu Ko

■For more details, please contact us from here.

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