Telecom infrastructure deployment—especially for rooftop, in-building, and dense urban environments—remains slow, costly, and error-prone. Existing planning methods rely on static blueprints, fragmented site data, and repeated site visits, leading to rework, delays, and missed revenue opportunities. The InfraVerse Catalyst addresses this bottleneck by applying telecom-specific building information modelling (BIM) to digitize the physical deployment process. It integrates drone imagery, AI-driven insight extraction, and genAI automation to transform how CSPs plan, validate, and deploy high-performance infrastructure—particularly in hard-to-serve, high-value areas.
The Catalyst combines drone-based data collection, AI, and generative AI (genAI) with a telecom-specific BIM platform. Drones capture detailed visual data. AI then processes this data to extract structural, spatial, and environmental insights. Next, genAI generates critical documents—like EMF assessments, technical drawings, and permit applications—reducing manual work and speeding up compliance.
This solution allows virtual site inspections, improves design accuracy, and reduces unnecessary travel. Teams collaborate more effectively using a unified digital model, streamlining deployment and cutting costs. CSPs can plan with greater precision, optimize equipment placement, and deliver stronger indoor and outdoor coverage.
The system is scalable and sustainable - it enables energy-efficient design, lowers emissions, and helps meet green building standards. With fewer design errors and faster approvals, CSPs can deploy infrastructure faster, at lower cost, and with better quality control. The InfraVerse Catalyst helps CSPs break free from slow, reactive builds—replacing outdated planning with intelligent, digital-first workflows. The shift brings sharper accuracy, faster deployments, lower costs, and sustainability gains that can’t be ignored. It’s not just better planning—it’s a smarter path to market and a stronger, greener foundation for the networks of tomorrow.
