The startup provides real-time monitoring and analytics through LiDAR and camera fusion technology, combined with deep learning algorithms to generate accurate 3D models. This technology enables users to enhance operational efficiency by delivering color-rich insights for optimized decision-making.
Funding
$750K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Managing and maintaining transport infrastructure like roads and railways requires frequent manual inspections, which are costly, time-consuming, and can expose workers to hazardous conditions. Existing methods often lack the precision and real-time data needed for proactive maintenance and safety improvements.
Solution
Kodifly provides an AI-powered platform that automates the inspection and quality assurance of infrastructure assets. Their solutions combine LiDAR, camera, and other sensor data with deep learning algorithms to generate accurate 3D models and real-time analytics. The SpatialSense platform offers a suite of hardware and software tools for mobile mapping, stationary monitoring, and cloud-based data processing, enabling users to create digital twins of their infrastructure. This allows for enhanced monitoring, predictive maintenance, and improved safety across railways, highways, and construction sites.
Target Audience
Kodifly targets transport operators, government departments, and construction companies responsible for the design, construction, and maintenance of railways, highways, and other critical infrastructure.
Features
- SpatialSense Scanners: LiDAR and camera fusion for enhanced 3D color models.
- SpatialSense Edge Device: On-the-go data processing in harsh environments.
- SpatialSense Cloud: Real-time insights from scanners and edge devices.
- Digital Twin Creation: Virtual replicas of infrastructure for planning and analysis.
- 3D Point Cloud Analytics: Visualize and analyze spatial dynamics with precision.
- AI-Powered Insights: Transform raw data into strategic knowledge for operational decisions.
- Real-time Monitoring: Instantly track and analyze spatial data.
- Automated vegetation management for railways using LiDAR and AI analytics.
- Tunnel Traffic Monitoring System: AI, LiDAR, and video analytics for vehicle counting and classification in tunnels.