5x5 provides an AI-powered platform that converts UAV‑collected imagery into engineering‑grade digital twins of telecom towers and small cells, delivering high‑resolution 3D geometry, condition metrics, and georeferenced photos. The twins are stored in a secure cloud repository and accessed through enterprise‑grade APIs and BIM/ERP integrations, enabling operators and asset managers to automate design, maintenance, and compliance workflows while reducing field visits.
Funding
Funding not disclosed
Founders
Product
Problem
Telecom operators and infrastructure owners rely on outdated, manually entered asset records and visual inspections, which often contain errors and require costly site visits. Inaccurate as‑built data hampers design, maintenance, and regulatory compliance, leading to inefficiencies and higher operational expenses.
Solution
5x5 delivers an AI‑driven platform that automatically generates intelligent digital twins of communications structures from UAV‑collected imagery and sensor data. Proprietary machine‑learning models transform raw observations into engineering‑grade analytics, producing a trusted, single source of truth for each asset. The resulting twin—including high‑resolution photos, precise 3D geometry, and condition metrics—is stored in the cloud and exposed via secure, enterprise‑grade APIs for seamless integration with existing ERP, BIM, and CAD systems. By centralizing accurate asset data, the platform enables cross‑functional teams to streamline design, construction, maintenance, finance, and sales workflows while reducing unnecessary truck rolls and field inspections. The solution scales globally through a standardized twin production pipeline, delivering consistent data quality across diverse geographic regions.
Target Audience
Primary customers are telecom network operators, infrastructure owners, and asset management teams that oversee large portfolios of communication towers, small cells, and related structures, as well as engineering and construction firms supporting those assets.
Features
- Automated UAV (UAS) data capture with AI‑enhanced photogrammetry to produce high‑fidelity 3D models and georeferenced imagery
- Proprietary machine‑learning pipelines that extract engineering‑grade metrics (e.g., structural dimensions, material condition, clearance) from raw sensor data
- Scalable twin production workflow that ingests, validates, and publishes digital twins to a cloud repository in near‑real time
- Secure, enterprise‑quality RESTful APIs compatible with IBM, Oracle, SAP, and other ERP/BIM platforms for organization‑wide data distribution
- Web‑based portal offering searchable asset catalogs, versioned twin history, and role‑based access controls for field and office users
- Integration adapters for leading CAD and BIM tools to support design simulation, scenario planning, and change impact analysis
- Automated alerts and analytics dashboards that surface maintenance priorities, compliance gaps, and cost‑optimization opportunities
- End‑to‑end data encryption and audit logging to meet industry security and regulatory standards