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SpaceNet Insight


The world's first AI system achieving true predictive facility management through integrated multi-modal intelligence.
Our SpaceNet-based Multi-Modal LLM Facility Defect Analysis & Management System transforms construction and
industrial asset monitoring, turning facility failures from costly surprises into preventable events.

This breakthrough platform uniquely fuses SpaceNet 3D spatial addressing, defect-focused vision models, and
multi-modal language intelligence. The system segments structures into spatial units with unique IDs,
while computer vision quantifies cracks and damage-location, size, type, orientation.
The integrated LLM assesses risk, determines repair urgency, and generates professional reports.

Real-time drone and robotics capture enables simultaneous analysis and inspection.
All results are mapped to the SpaceNet 3D address system and visualized in a 3D viewer for intuitive exploration.
Where others offer isolated tools, we deliver the industry's first end-to-end spatial intelligence ecosystem-enabling
early defect detection that prevents catastrophic failures, extends asset lifecycles, and dramatically improves maintenance program efficiency.

  • Tunnel
    Management



    Inspace Point mapping and AI analysis using a LiDAR drone - Spatial address information

  • Bridge
    Management



    3D mapping and AI analysis using EO/IR Drone - Detecting cracks on the surface

  • Subway station/ track
    Management



    3D mapping and AI analysis using EO/IR Drone - Real-time data collection of object

  • Video/image processing
    management



    Video & Image Analysis Management System - Automatic event and history generation





  • Facility space division and space address mapping
    - Divides and maps a facility's multi-dimensional data, such as 3D geometry and component images, into spatial units based on SpaceNet.
    - Assigns a unique address ID to each space to quickly identify defect locations even in large-scale structures and to manage the lifecycle of the associated big data.

    Multi-modal LLM Defect Analysis & Specialized Vision Model
    - A specialized AI detection model performs the initial extraction and detection of data regarding damage, type, and status.
    - Based on the detected data, a multi-modal Vision-Language Model (VLM) LLM conducts semantic analysis and generates response guidelines and final reports.

    Real-time Mapping & Address Management via Drones and Robotics
    - Intuitively represents defect locations and their surroundings by mapping images based on spatial addresses and facility ID numbers, and manages the big data for each facility.
    - Utilizes mobile drones and robotics to display the imaging status in real-time, enabling simultaneous analysis and inspection by visualizing on-site images as they are captured.
    - Performs before-and-after analysis and generates results for captured images based on their assigned spatial addresses.

    Blog


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