Best On-Premises Point Cloud Processing Software of 2026

Pointly is an innovative cloud-based platform that harnesses AI technology to classify and manage 3D point clouds, transforming extensive raw datasets into organized and actionable insights through both automated and manual processes. By providing user-friendly tools and options for pre-trained or custom AI models, it enables effective classification, segmentation, and vectorization of 3D data. The platform features a centralized web-based system for storing, organizing, and annotating point clouds, along with scalable parallel processing capabilities that enhance performance for large datasets. Additionally, it offers a combination of manual annotation tools and automated classifiers to streamline data preparation while improving accuracy. Users benefit from API integration, the ability to export classified point clouds in standard formats such as LAS/LAZ, and collaborative features that facilitate teamwork on projects. Furthermore, Pointly supports custom AI model training tailored to specific applications, ensuring versatility in its use. With the added advantages of secure cloud processing with encrypted storage and flexible deployment options, users can rely on Pointly for efficient and reliable 3D data management.

Vecten Desktop is a specialized software designed for the classification of LiDAR point clouds generated from both airborne and UAV surveys. It streamlines workflows by categorizing tasks into local projects and blocks, allowing for the input of LAS, LAZ, and COPC file formats, and generates classified point clouds complete with review layers and attributes for verification and subsequent handoff. The software features VGround for identifying ground surfaces, bridge decks, and noise, while VClassify focuses on vegetation and building identification; additionally, VUtilities addresses wires, poles, and towers specifically for utility corridors. Different teams in surveying, mapping, engineering, and utility sectors can choose from various modules based on their specific output needs for terrain extraction, semantic classification, infrastructure analysis, or corridor asset management. The classification process is efficient and takes place on a local workstation, eliminating the need for cloud-based uploads for inference. Furthermore, there are plans for Vecten Cloud, which will serve as a browser-based companion tool, and interested users can join the waitlist for future access. This expansion reflects the commitment to enhancing accessibility and functionality for users across various industries.