Utility networks are large, distributed, and expensive to inspect asset by asset. Twinworks enables network-wide asset collection and AI-powered analysis — so you know what you have, what condition it's in, and where the risks are.
Utility operators manage thousands of assets across large geographic areas. Traditional inspection methods cannot keep pace.
Asset registers are rarely 100% complete or current. New installations, retirements, and condition changes go unrecorded between formal surveys.
Trees and vegetation grow throughout the year. Manual vegetation management programmes cannot keep pace with growth near critical infrastructure.
Walking or driving to each asset individually for condition checks is time-intensive and expensive. Scale makes comprehensive coverage nearly impossible.
Twinworks enables rapid network collection using vehicle-mounted 360° cameras. A single collection pass captures all roadside assets — poles, transformers, switches, vegetation, and more — and feeds them into an AI extraction workflow that builds structured, located asset records automatically.
Rapid network inventory
Drive the road network to collect complete asset coverage in days rather than months of walked surveys.
Vegetation proximity detection
AI models identify trees and vegetation within risk proximity of powerlines and poles — prioritising maintenance crews.
Condition flags at scale
Surface-visible condition issues are flagged automatically during processing — without manual review of every image.
GIS-ready asset outputs
Asset records with coordinates and attributes export directly into ArcGIS, QGIS, and existing utility information systems.
Greater asset visibility
Know what's in your network, where it is, and what condition it's in — without relying on records that haven't been updated in years.
Proactive vegetation management
Identify and prioritise vegetation risks before they cause outages or incidents.
Lower inspection cost per asset
Drive once; extract intelligence across thousands of assets simultaneously.
Better maintenance prioritisation
Focus field crews where intelligence shows the highest need, not where historical patterns suggest.
Vehicle-mounted 360° cameras driven along road corridors can capture distribution poles, transformers, switches, and other roadside assets in a single pass. AI models extract asset locations, types, and visible condition indicators automatically. This replaces manual field walk-down surveys that are expensive and slow to complete across large network areas.
Vegetation risk detection uses AI analysis of imagery to identify trees and vegetation that are growing within hazard proximity to powerlines, poles, and other electrical infrastructure. By detecting these risks systematically across a network, utilities can prioritise vegetation management work before outages or safety incidents occur.
Schedule a conversation. We'll show you how utility teams are using Twinworks to maintain network intelligence at a fraction of traditional survey costs.
Schedule a Demo