LiDAR-camera fusion for real-time 3D infrastructure monitoring
Kodifly combines LiDAR and camera feeds with deep learning to generate real-time 3D models for infrastructure inspection and change detection. The tech stack—Python, PyTorch, TensorFlow, OpenCV, ROS, and cloud platforms (AWS, Azure, GCP)—reflects a computer-vision-heavy, ML-first engineering org. Hiring skews heavily toward interns and mid-level engineers in Pakistan and China, while sales and marketing teams are scaling to support global expansion; the pain-point list (inbound generation, brand visibility, market entry) and projects (sales funnel optimization, global expansion strategy) signal a transition from pure R&D to go-to-market acceleration.
Notable leadership hires: Talent Culture Lead
Kodifly is a Hong Kong-based infrastructure monitoring company founded in 2021, building a platform that fuses LiDAR and camera data with deep learning to deliver real-time 3D scene understanding. The core use cases span infrastructure scanning, construction monitoring, and train perception, with plans to expand into additional verticals. The company operates across 51–200 employees, headquartered in Hong Kong with hiring concentration in Pakistan and mainland China. Current product focus includes digital twin generation, spatial data visualization via GIS, and edge-to-cloud deployment pipelines.
LiDAR-camera fusion combined with deep learning (PyTorch, TensorFlow, OpenCV) to generate real-time, color-rich 3D models for detecting and analyzing infrastructure changes.
Python, C++, Node.js for backend; React, Angular, Vue for frontend; PyTorch and TensorFlow for ML; Docker and Kubernetes for deployment; AWS, Azure, GCP for cloud; Open3D and ROS for 3D processing.
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