Ranger is the first streaming-based extraction platform designed for high-volume LiDAR and imagery analysis. Ranger entails no downloads, no hardware strain, and zero compromise. Built for teams who need enterprise-grade extraction without the enterprise-grade headaches.
Powered by the Unity gaming engine and AWS backend, Ranger transforms LiDAR extraction into an intuitive, game-like experience. Extractors navigate through 3D point cloud environments as naturally as playing a video game—all streamed from the cloud with zero local processing requirements.
Ranger’s cloud-native design delivers enterprise-grade extraction through any web browser. No expensive hardware upgrades, no downloading massive datasets to individual workstations, no software updates across multiple machines. Your team accesses everything they need instantly, while all processing happens in our optimized cloud infrastructure.
Project managers create custom data dictionaries tailored for any client or project. Extractors assigned to that project only see tools and interfaces that align with the specific assets and attributes defined in the project data dictionary—ensuring consistency and eliminating confusion.
Organize and oversee extraction workflows from start to finish
Seamlessly import LiDAR and imagery datasets
Tailor point, polyline, and polygon asset and attribute definitions for any client or project type
Assign extractors to specific project assets and hubs
Full-featured extraction capabilities matched to your project requirements
Deliver results in GIS formats
1 project manager license
Statistical sampling algorithms identify per asset defect opportunities to be validated by QA/QC team
Verify that extraction meets specified accuracy requirements
Comprehensive analytics on project quality performance
Precisely map identified assets & attributes within point cloud data
Project managers can run AI/ML analysis before assigning human extractors, streamlining the entire workflow
Automatically identify assets within panoramic imagery
Eliminate redundant asset identification across datasets
See how Ranger’s modular approach and custom data dictionaries can transform your project efficiency and client satisfaction.
