Connect BIM beyond construction. Asset data, live operations and decision-making in one system.
Projects deliver BIM at handover, but the information isn't structured for operations. Without asset data strategy, valuable project data is lost after construction.
Asset data in PDFs, spreadsheets and siloed systems. FM teams spend the first year rebuilding what should have been handed over.
No real-time visibility. Equipment fails without warning. Energy waste goes undetected.
Handover data becomes outdated within months. No system of record to keep it current.
Not a 3D viewer. Not a BIM model. A live data environment that mirrors your physical asset.
A digital twin connects three layers: the geometric model (what the building looks like), the information model (what's in it and how it works) and live operational data (what's happening now). The value is the connection — between model, data and live building systems.
| Layer | What it contains | Data sources | What it enables |
|---|---|---|---|
| 1 Geometric Model | Spatial layout - rooms, zones, equipment locations, system routing, as-built conditions | BIM models (Revit), point clouds, CAD, LiDAR scans | Visual navigation, spatial queries, location-based maintenance |
| 2 Information Model | Asset data - equipment specs, manufacturer info, maintenance schedules, warranty conditions, classification codes | COBie, asset registers, O&M manuals, commissioning records | Asset management, compliance tracking, lifecycle costing |
| 3 Live Data | Real-time operational feeds - sensor readings, BMS status, occupancy, energy consumption, system alerts | IoT sensors, BMS (BACnet/Modbus), SCADA, metering systems | Real-time monitoring, predictive maintenance, energy optimisation |
From BIM model to asset data to live operations. Four phases.
Verified LOD 500 model reflecting actual site conditions - geometry, systems, and spatial data
Multi-discipline coordination ensuring all systems are accurately represented and conflict-free
System and equipment structure mapped - zones, levels, functional groups, asset codes
Every installed asset tagged with manufacturer data, model numbers, serial numbers, and locations
Planned maintenance regimes, warranty conditions, and inspection intervals linked to each asset
Operations & maintenance manuals, commissioning records, and compliance certificates attached to assets
Asset register exported and mapped to client's facilities management platform - populated on day one
IoT sensor locations defined and linked to corresponding assets and zones in the model
Building management system data feeds connected to the digital twin environment
Role-based monitoring views - FM operations, energy performance, space utilisation, compliance
Data-driven maintenance triggers based on asset condition and sensor anomalies, not calendar dates
Analytics, automated work orders, energy optimisation, and continuous model updates
Digital twins fail when data requirements aren't defined upfront. Templates for asset data standards, sensor specifications and integration. Build the twin into the project, not bolted on at handover.