Vault allow you to upload and visualise high-resolution point cloud files (e.g., LAS, LAZ, E57, or PLY formats) directly within the platform. Upon upload, the system leverages an integrated open-source point cloud viewer— Potree to provide an interactive 3D environment for exploring, measuring, and analysing spatial data.
Easily share point cloud data across your entire team—no specialist software or extra licenses required. Vault puts rich, detailed 3D data directly into the hands of those who need it most, making collaboration seamless and empowering faster, more informed decisions across the project lifecycle.
Key capabilities include:
Drag-and-drop upload of large point cloud datasets with automatic format recognition and preprocessing.
Interactive 3D visualisation, allowing users to pan, zoom, and orbit around the scanned environment or object.
Measurement tools for distances, angles, heights, and areas directly within the point cloud.
Clipping and sectioning tools for isolating views or focusing on specific spatial regions.
Point classification and filtering, supporting analysis by return type, classification, intensity, or elevation.
Annotation and export, allowing users to tag features and export insights for reporting or further modelling.
Setup for teams working with LIDAR scans, photogrammetry outputs, or digital twins, providing a way to engage with raw spatial data without requiring specific software assets or licences.