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.

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.

The post Notification Concerning Initiatives and Future Plan Outlook for Digitalization of Major Electric Power Infrastructures in Europe first appeared on Kudan global.