Living 3D models of the built and natural world
A digital twin is a continuously updated 3D virtual replica of a physical asset, environment, or system — synchronised with real-world sensor data in near-real-time.
Scales of twin
From a single building to an entire nation
Airfree digital twins operate at any spatial scale — the architecture is the same, only the data density and delivery optimisation changes.
Building Level
BIM/IFC integration, construction progress monitoring, MEP clash detection, and lifecycle asset tracking at individual building scale.
Precinct / Campus
Multi-building clusters, pedestrian flow, parking, utilities networks, and shared infrastructure across a defined site boundary.
City Scale
Urban planning, traffic management, utility networks, emergency response coordination, and environmental monitoring across an entire city.
Regional / National
Land cover, major infrastructure corridors, disaster risk modelling, and national spatial data infrastructure at country scale.
Data sources
Every sensor, one model
Digital twins are only as good as their data. Airfree ingests from every major spatial data source and fuses them into a semantically consistent 3D model.
Technical architecture
How a digital twin is built
Data Ingestion
Multi-source ingestion from sensors, satellites, surveys, and BIM tools into a unified spatial data lake.
Processing
Point cloud processing, photogrammetric reconstruction, coordinate system normalisation, and semantic enrichment.
3D Tile Generation
Conversion to OGC 3D Tiles and CesiumJS-optimised formats for web-native delivery at any scale.
Real-time Streaming
Live sensor data fused into the static model via Apache Kafka streams — sub-second update latency.
Web Viewer
CesiumJS-powered 3D viewer with query, measurement, time-animation, and analytics overlays.
Use cases
What digital twins make possible
Urban planning digital twin
A precinct-scale digital twin can cover square kilometres of urban fabric, letting planners test shadow impact, wind corridors, and view-shed analysis for proposed developments before any physical work begins — and community engagement improves when stakeholders move from 2D PDFs to an interactive 3D model.
Construction progress monitoring
Drone-captured point clouds updated weekly can generate automated progress reports against BIM design models, so variance detection flags issues such as foundation misalignment far earlier than traditional site-inspection schedules would.
Heritage documentation & disaster risk
Heritage structures can be digitised at millimetre resolution using photogrammetry, so the models serve as both archival record and flood/cyclone risk assessment — enabling prioritised reinforcement decisions for the most vulnerable sites.
See a digital twin demonstration
Our team will build a proof-of-concept twin using your own data in a 2-week engagement.
Request a demonstration