Spacesium SpaceTools
Lightweight, high-speed geo-processing toolbox for point clouds.Spacetools is Spacesium’s high-speed geoprocessing framework designed to streamline and accelerate point cloud preparation for ArcGIS and other geospatial platforms.
Whether processing drone imagery, LiDAR point clouds, or terrain datasets, Spacetools transforms raw geospatial data into analysis-ready content, bridging the gap between data capture and actionable geospatial insights in ESRI and other GIS environments.
Use Spacetools as a pre-processing engine layer
Spacetools is optimized for batch processing, automation, and scalable deployment, simplifying the complex task of 3D point cloud classification. Ideal for mining, engineering, and environmental professionals, it delivers accurate, classified geospatial data ready for spatial analysis, GIS workflows, and informed decision-making.
Accelerate LiDAR, Photogrammetry, and GIS Workflows
Spacetools allows users to offload compute-intensive geoprocessing tasks—including tiling, DEM/DTM generation, point cloud classification, and contour extraction.
By preparing and processing data before it reaches ArcGIS, Spacetools frees up resources for advanced GIS analysis, 3D visualization, and informed operational decision-making.
Seamless Integration with the GIS Ecosystems
Spacetools is designed as a flexible pre-processing layer, producing datasets ready for direct ingestion into GIS geodatabases, image services, and 3D Scene Layers.
Compatible with Docker, Python scripting, and API workflows, it integrates seamlessly into manual or fully automated GIS pipelines, enabling faster, more efficient geospatial data processing and analysis.
Use GeoAi or Rule-based Method of classifications
Spacetools enables users to apply rule-based machine learning or AI scripts to classify ground points, extract vegetation and building footprints, and apply height or spatial filters.
Its batch and scriptable multicore command-line tools make it ideal for processing 3D point clouds from terrestrial scanners, drones, and aerial sensors.
Easily classify ground, non-ground, vegetation, and buildings, then save parameters for automated, repeatable workflows, accelerating geospatial analysis and GIS-ready data preparation.
Powerfully simple processing
Either run it via a GUI in ESRI ArcPRO or you can deploy the software locally.
Scriptable processing at scale.
Spacetools lets you start small and scale with confidence. Configure processing settings on a pilot tileset to refine classification rules, tiling parameters, and output formats before deploying them across large-scale datasets.
Once optimized, these settings can be applied to high-resolution drone surveys, corridor mapping, or city-wide aerial LiDAR captures.
This approach ensures consistent, repeatable results across projects of any size while significantly reducing processing time.
From mining sites and construction corridors to urban 3D modeling and digital twin generation, Spacetools adapts to your workflow, handling gigabytes to terabytes of geospatial data without sacrificing accuracy or detail.
Custom Enterprise Integration
Seamless API-Based Integration Across Geospatial and Asset Management Platforms
Spacesium supports RESTful API integration, enabling direct connectivity with FME data integration workflows, ArcGIS Enterprise Servers, predictive maintenance platforms, and other third-party systems. This ensures your LiDAR, photogrammetry, and raster datasets flow seamlessly between capture, processing, and analysis stages without manual intervention.
By automating the transfer of classified point clouds, terrain models, and derived analytics into enterprise GIS environments, you can streamline multi-platform geospatial operations, reduce latency in data availability, and maintain a single source of truth across your organisation. Integration with predictive maintenance systems allows for proactive asset monitoring, using real-time geospatial insights to anticipate road wear, infrastructure stress, or environmental risks—minimising downtime and improving operational efficiency.
Whether deployed in on-premises, cloud, or hybrid environments, Spacesiums API capabilities make it easy to embed advanced geoprocessing into existing GIS, asset management, and decision-support systems at scale.
