Pointly
Pointly is a cloud-based, AI-powered 3D point cloud classification and management platform that turns large, raw point cloud datasets into structured, actionable information by enabling both automatic and manual classification, segmentation, and vectorization of 3D data using intuitive tools and pre-trained or custom AI models. It provides a centralized system to store, organize, and annotate point clouds directly in a web browser, supports scalable parallel processing for large datasets, and offers manual annotation tools alongside automated classifiers to accelerate data preparation and enhance precision. It also allows integration via API, export of classified point clouds in standard formats like LAS/LAZ, team collaboration on projects, and optional custom AI model training for specific use cases. Additional benefits include secure cloud processing with encrypted storage, scalable performance to avoid bottlenecks, and flexible deployment options.
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LixelStudio
LixelStudio is a comprehensive 3D point cloud processing software powered by spatial intelligence algorithms. It offers tools for viewing, editing, and processing point cloud data, along with industry-specific plugins. With AI-enhanced capabilities, it boosts data processing efficiency and delivers breakthrough 3D data productivity. Easily process point cloud data to improve precision and visual quality. Panoramic overlay simplifies measurement and modeling. Combine multiple datasets for complete, large-scale point cloud data. Offers registration, noise removal, length and area measurement, 3D clipping, and more. Supports various rendering modes including RGB, intensity, elevation, and EDL. Verifies point cloud accuracy manually or automatically and generates detailed reports. Features like stockpile measurement comparison and auto mesh generation, with more industry tools coming soon.
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MeshLab
The open source system for processing and editing 3D triangular meshes. It provides a set of tools for editing, cleaning, healing, inspecting, rendering, texturing and converting meshes. It offers features for processing raw data produced by 3D digitization tools/devices and for preparing models for 3D printing. In this version we introduce support to several file formats (.gltf, .glb, .nxs, .nxz, .e57) and a brand new plugin for exact mesh booleans. The 3D data alignment phase (also known as registration) is a fundamental step in the pipeline for processing 3D scanned data. MeshLab provides a powerful tool for moving the different meshes into a common reference system, able to manage large set of range-maps. MeshLab implements a fine tuned ICP one-to-one alignment step, followed by a global bundle adjustment error-distribution step. The alignment can be performed on meshes and point clouds coming from several sources, including active (both short- and long-range) scanners.
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SURE Aerial
nFrames SURE software delivers an efficient solution of dense image surface reconstruction for mapping, surveying, geo-information and research organizations. The SURE software delivers derivation of precise point clouds, DSMs, True Orthophotos and textured Meshes from small, medium and large frame images. This advanced solution is designed for applications including countrywide mapping, monitoring projects that use manned aircraft and UAVs, cadaster, infrastructure planning, and 3D modeling. SURE Aerial is specifically designed for aerial image datasets captured with large frame nadir cameras, oblique cameras and hybrid systems with additional LiDAR sensors. Without limitation in image resolution, it empowers the production of 3D Meshes, True Orthophotos, Point Clouds and Digital Surface Models on common workstation hardware and in cluster environments. Simple to setup and operate, SURE Aerial is compliant with mapping industry standards and accessible for web streaming technologies.
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