Scalable Spatial Intelligence for Communiations Service Providers

Managing millions of connected devices—including 5G-connected vehicles, smart meters, and industrial sensors—generates continuous location streams and terabytes of location data hourly that legacy systems can’t process, limiting smart city and fleet management capabilities, preventing real-time network optimization and usage-based service offerings.

Handle data streams from millions of IoT devices efficiently enabling instant insights for connected services.

Network asset data, customer locations, competitor sites, spectrum allocation, fiber routes, equipment inventory, and terrain models remain disconnected when platforms can’t efficiently integrate diverse spatial datasets at petabyte scale. This requires manual data reconciliation, wastes weeks on data preparation, and delays network planning decisions..

Consolidate all geospatial assets, from network infrastructure, elevation, physical environmental features, to customer data, on a single Apache Iceberg-based platform with 300+ spatial functions supporting both vector and raster analysis without switching tools. Query across all data types using standard SQL with no data movement or format conversion required.

Evaluating potential tower sites against zoning, terrain, population, and competitor locations involves manual workflows that stretch site selection to months.

Continuously evaluate thousands of candidate locations against multiple spatial criteria simultaneously, ranking sites by coverage potential and ROI in seconds.

Generating FCC broadband maps and coverage reports requires weeks of data preparation when combining network models with census blocks and address points.

Generate regulatory coverage reports automatically by processing network data against demographic boundaries in automated Wherobots Jobs.