LiDAR and 3D mapping hardware + point-cloud processing software
GreenValley International builds LiDAR scanning hardware (UAV, handheld, vehicle-mounted) paired with point-cloud processing software. The tech stack is heavily ML-focused (PyTorch, TensorFlow, OpenCV) and the active project list centers on deep-learning segmentation, multi-sensor fusion for localization, and visual depth perception—indicating a shift toward AI-driven scene understanding rather than pure sensor-to-mesh pipelines. Engineering dominates hiring, with concurrent work on model optimization and accuracy.
GreenValley International designs and manufactures LiDAR scanning systems and complementary software for 3D surveying and mapping. The hardware portfolio spans UAV-mounted sensors, handheld units, vehicle systems, and backpack rigs; software includes point-cloud processing and visualization tools. The company serves energy, agriculture, forestry, infrastructure, GIS, and mining verticals. Based in Berkeley with operations spanning China, Japan, and Brazil, the 201–500-person team is weighted toward engineering and product development.
PyTorch, TensorFlow, C/C++, Python, OpenCV, COLMAP for deep learning, point-cloud processing, and sensor fusion. Core focus is LiDAR hardware integrated with ML-based image and point-cloud analysis.
Deep-learning segmentation for point clouds and images, multi-sensor fusion for localization and positioning, monocular and binocular visual depth perception, and sensor calibration methods. Current pain points center on model efficiency and accuracy improvements.
Other companies in the same industry, closest in size