LiDAR and camera fusion for real-time infrastructure 3D monitoring
Kodifly fuses LiDAR and camera data with deep learning to produce live 3D models for monitoring transport, rail and construction infrastructure. Its stack pairs NVIDIA and C++ perception work with Docker, Kubernetes and all three major clouds, and job posts center on edge-to-cloud deployment. Tender and proposal compliance pressures point to a public-sector, bid-driven sales motion, and hiring is accelerating with an engineering-heavy mix based in Pakistan.
Kodifly is a Hong Kong-based, privately held company founded in 2021 with 51–200 employees. It builds perception software that combines LiDAR and camera inputs with deep learning models to generate color-rich 3D representations of infrastructure and surrounding environments. Use cases include train perception, transport infrastructure monitoring, construction monitoring and digital twins. Customers are infrastructure operators who use the output to detect and interpret physical changes. The company develops a product called SpatialSense and runs AI and computer vision application work alongside it.
Kodifly uses Python, Django, Flask, Node.js, C++, React, Docker and Kubernetes across AWS, Azure and GCP, with NVIDIA hardware and LiDAR for perception, plus HubSpot and Salesforce for sales.
Job posts point to SpatialSense product development, AI and computer vision applications, AI/ML pipeline development, and edge-cloud integration and deployment projects.
Kodifly is headquartered in Hong Kong, was founded in 2021, has 51–200 employees, and is currently hiring mainly in Pakistan.
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Kodifly's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.