Physical World Context for Communiations Service Providers AI tools built on documents and databases cannot see your network the way geography shapes it. Wherobots gives communication service providers the physical world context layer for telecom analytics at scale: process billions of network events, optimize 5G network planning, and turn geospatial intelligence into faster, smarter infrastructure decisions. TALK TO US Telecom Companies Trusting Wherobots and Apache Sedona Why Telecom Teams Build Physical World Context with Wherobots Your AI reads subscriber records and network logs. It does not understand how geography shapes coverage, capacity, and churn. Wherobots closes that gap with the spatial AI infrastructure to process billions of network events, score tower sites, and turn physical world data into competitive advantage. Network coverage blind spots IoT data explosion Infrastructure silos Site acquisition delays Regulatory reporting burden Network coverage blind spots Industry Challenge How Telecoms Lose Visibility Into Network Coverage Gaps Telecoms struggle to identify coverage gaps and quality issues when billions of call detail records exceed traditional GIS capabilities. AI systems reasoning over network logs alone miss the geographic patterns driving these failures. Wherobots Solution Geospatial AI for Coverage Gap Detection Wherobots gives network operations teams geospatial AI to detect coverage gaps, predict congestion hotspots, and optimize capacity using spatial SQL and Python, at a scale no traditional GIS or analytics tool matches. 10B+ Events Processed IoT data explosion Industry Challenge Why Legacy Systems Fail to Process Millions of IoT Device Streams 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. Wherobots solution How Wherobots Processes Millions of IoT Streams for Connected Services Handle data streams from millions of IoT devices efficiently enabling instant insights for connected services. Millions of IoT Streams Processed Infrastructure silos Industry Challenge Why Disconnected Telecom Spatial Data Limits Network Performance 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.. Wherobots solution How Wherobots Unifies Telecom Spatial Assets on a Single Apache Iceberg Platform Consolidate all geospatial assets, from network infrastructure and elevation data to customer locations and competitor sites, on a single Apache Iceberg-based platform. WherobotsDB provides 300+ spatial functions covering vector and raster data, with native Spark SQL for tabular operations, creating a unified physical world context layer for network intelligence. 300+ Spatial Functions Site acquisition delays Industry Challenge Why Manual Tower Site Selection Takes Months for Telecoms Evaluating potential tower sites against zoning, terrain, population, and competitor locations involves manual workflows that stretch site selection to months. Wherobots solution How Wherobots Scores Thousands of 5G Tower Sites Against Spatial Criteria in Seconds Continuously evaluate thousands of candidate locations against multiple spatial criteria simultaneously, ranking sites by coverage potential and ROI in seconds. 99% Faster Selection Regulatory reporting burden Industry Challenge Why FCC Broadband Map Reporting Takes Weeks to Prepare Generating FCC broadband maps and coverage reports requires weeks of data preparation when combining network models with census blocks and address points. Wherobots solution How Wherobots Automates FCC Coverage Reporting with Demographic Boundary Processing Generate regulatory coverage reports automatically by processing network data against demographic boundaries in automated Wherobots Jobs. Automated Compliance “It’s not just about mapping—it’s about causation. Apache Sedona helps us identify whether spatial factors are actually driving customer issues. That difference completely changed how fast we could iterate” David Buchanan Data Engineer, Manager, Comcast See How Telecom Teams Build AI That Sees Their Network Schedule a demo to see how leading CSPs process billions of spatial data assets and build the physical world context layer that turns network data into competitive intelligence. Talk to us Telecom Analytics Resources and Case Studies Get up to speed on the latest innovations in Telco. Telco Network Analysis Webinar: County to Country-Scale Bandwidth Optimization Learn how communication service providers analyze bandwidth constraints and network capacity across geographic regions, from county-level coverage gaps to nationwide 5G deployment planning. WATCH NOW Wherobots SOC 2 Type 1 & Type 2 Compliance Certification Wherobots achieved SOC 2 Type 1 and Type 2 attestation, demonstrating enterprise-grade security controls, data privacy protection, and compliance readiness for telecommunications companies with strict regulatory requirements. LEARN MORE From 5 Hours to 30 Minutes: Comcast's Apache Sedona Success Story Discover how Comcast, one of the largest communication service providers in the US, reduced spatial data processing time from 5 hours to 30 minutes using Apache Sedona. COMCAST STORY Frequently Asked Questions: Wherobots for Telecom and 5G Networks How does Wherobots process telecom data at the scale communication service providers require? WherobotsDB runs distributed spatial SQL across clusters, processing petabytes of network events against geographic boundaries, coverage polygons, and terrain data. Compute scales to workload size, so billion-record CDR queries complete in minutes. Data stays in your cloud storage. Wherobots runs queries against it without migration or movement. Can Wherobots connect to our existing network data infrastructure? Wherobots connects to AWS cloud storage, Databricks, and any Apache Iceberg catalog. Your data stays in place. Wherobots runs compute against it without migration or format conversion. For CSPs with compliance or data residency requirements, managed cloud, bring-your-own-cloud, and VPC deployment options are available. Wherobots is SOC 2 Type 2 attested. What makes Wherobots better suited for 5G network planning than traditional GIS? Traditional GIS tools were not designed for the data volumes that 5G network planning demands. AI systems built on network logs and subscriber records miss the geographic dimension entirely. Evaluating tower sites against population density, terrain, spectrum coverage, existing infrastructure, and competitor locations requires joining multiple large spatial datasets in one query. WherobotsDB handles those joins at scale with 300+ spatial functions covering vector and raster data, with native Spark SQL for tabular operations. Network planning workflows that take hours in conventional tools complete in minutes. How quickly can telecom teams see results from Wherobots? Most teams run a proof-of-concept in 2-4 weeks focused on a specific use case: CDR analysis, coverage gap detection, or tower site scoring. Processing workflows that previously took days in legacy tools complete in minutes on Wherobots. WherobotsDB is 3x faster than the previous generation with up to 45% better price performance. Does Wherobots support both vector and raster data for network analysis? WherobotsDB processes vector data (network infrastructure, coverage polygons, customer locations, competitor sites) and raster data (satellite imagery, elevation models, signal strength grids) in one platform. RasterFlow runs computer vision models on aerial and satellite imagery at planetary scale. Both data types participate in the same spatial queries, so network operations teams do not need separate tools for different data formats. How does Wherobots support FCC broadband mapping and regulatory reporting? Wherobots processes network coverage data against census blocks, address points, and demographic boundaries in automated spatial SQL workflows. FCC broadband map generation, which requires cross-referencing network models with fabric data at national scale, runs as a scheduled Wherobots Job. Regulatory reporting that previously required weeks of manual data preparation runs on a defined schedule. Get started Ready to give your network AI physical world context? TALK TO US
Telco Network Analysis Webinar: County to Country-Scale Bandwidth Optimization Learn how communication service providers analyze bandwidth constraints and network capacity across geographic regions, from county-level coverage gaps to nationwide 5G deployment planning. WATCH NOW
Wherobots SOC 2 Type 1 & Type 2 Compliance Certification Wherobots achieved SOC 2 Type 1 and Type 2 attestation, demonstrating enterprise-grade security controls, data privacy protection, and compliance readiness for telecommunications companies with strict regulatory requirements. LEARN MORE
From 5 Hours to 30 Minutes: Comcast's Apache Sedona Success Story Discover how Comcast, one of the largest communication service providers in the US, reduced spatial data processing time from 5 hours to 30 minutes using Apache Sedona. COMCAST STORY
