LiDAR + AI infrastructure monitoring and digital twin platform
Kodifly combines LiDAR sensors, camera fusion, and deep learning to generate real-time 3D models for infrastructure inspection and change detection. The stack reveals a production AI/ML operation: PyTorch, TensorFlow, CUDA, TensorRT, and OpenCV run the vision pipeline, while Kubernetes and cloud infrastructure (AWS, Azure, GCP) handle deployment at scale. The hiring mix—engineering-heavy with senior dominance—paired with active projects around edge-cloud AI/ML integration and digital twin features, signals a team scaling real-time perception systems rather than exploring new tech.
Kodifly develops LiDAR and camera fusion software for real-time 3D infrastructure monitoring. The platform uses advanced deep learning to detect, analyze, and interpret environmental and structural changes, helping clients make safety and operational decisions across construction, transport, and asset-intensive industries. The company operates from Hong Kong and was founded in 2021. Current deployment spans cloud and edge environments, with tender-driven sales into large infrastructure projects.
LiDAR and camera fusion with PyTorch, TensorFlow, CUDA, TensorRT, and OpenCV. Real-time inference runs on NVIDIA GPUs, with edge and cloud deployment via Kubernetes and AWS/Azure/GCP.
Infrastructure monitoring, transport, construction, and asset inspection. The product supports digital twin workflows and large-scale tender-driven projects.
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.