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.