The spatial layer powering smart cities
From real-time IoT sensor streams to photorealistic 3D digital twins, Airfree delivers the geospatial data platform that turns fragmented city data into coherent, actionable urban intelligence — at the scale cities actually operate.
2.1 M
IoT data points per minute
Smart City Pilot — Case Study Teaser
Municipal IoT platform — live sensor ingest at metropolitan scale
A smart-city pilot deployment across a metropolitan area of 1.4 million residents ingested 2.1 million IoT data points per minute from 38,000 field sensors — air quality, traffic, flood, and public transport — into the Airfree real-time spatial platform with end-to-end latency under 800 ms. Full case study available under NDA.
Platform Capabilities
Every urban domain, one spatial platform
Smart-city initiatives span dozens of operational domains. Airfree provides the shared geospatial and IoT data layer that connects them — eliminating data silos and making cross-domain intelligence possible for the first time.
Real-time IoT Sensor Integration
Ingest millions of sensor data points per minute from heterogeneous IoT networks — air quality monitors, flood gauges, traffic counters, and environmental stations — into a unified spatial stream.
3D City Digital Twins
Photorealistic CesiumJS-powered city models with live data overlays. Simulate flood events, shadow studies, and line-of-sight analysis directly on a continuously updated 3D representation of the urban environment.
Traffic Management
Real-time traffic flow modelling from loop detectors, ANPR cameras, and connected-vehicle feeds. Adaptive signal control recommendations, congestion forecasting, and incident-triggered re-routing.
Infrastructure Asset Tracking
Spatial lifecycle management for roads, bridges, utilities, and public lighting. Maintenance scheduling driven by IoT condition monitoring, inspection records, and predictive asset degradation models.
Urban Heat Mapping
Land surface temperature analysis fused with meteorological station data and satellite thermal imagery. Identifies heat-island hotspots and models the cooling effect of green-infrastructure interventions.
Pedestrian Flow Analysis
Anonymised pedestrian density and movement analytics from sensor networks and computer-vision pipelines. Informs public space design, emergency evacuation planning, and retail catchment studies.
Public Transport Optimisation
GTFS-RT and AVL feed integration for live vehicle position, headway adherence, and passenger load modelling. Scenario planning tools for route restructuring, stop placement, and modal interchange design.
Technology Stack
Built on production-hardened platform components
Four tightly integrated platform components deliver the capabilities smart cities need — from sub-second IoT ingest to cinematic 3D visualisation.
Digital Twin (Cesium)
3D Tiles 1.1, photorealistic terrain, LoD-aware city model streaming at 60 fps on standard hardware.
Real-time Streaming
Kafka-backed spatial event bus. Sub-second sensor-to-visualisation latency. Backpressure-aware at 2 M+ events per minute.
OGC Tile Services
OGC API — Tiles and WMTS endpoints for basemaps and thematic overlays. Cache-warming, CDN integration, and dynamic style injection.
AI Anomaly Detection
Statistical and ML-based anomaly detection on spatial time-series. Triggers automated alerts, work orders, and escalation workflows.
City Intelligence Dashboard
Unified operational awareness for every department
The Airfree City Intelligence Dashboard aggregates data from all connected urban systems into a single spatial interface. Operations centres, council executives, and field teams each see a tailored view of the same live urban data estate.
The dashboard is configurable without code — departments build their own widget layouts, alert thresholds, and reporting cadences on top of the shared spatial data fabric. When an anomaly is detected by the AI layer, the dashboard automatically surfaces the affected geography, correlated sensor readings, and recommended response workflows.
See a dashboard demoInteroperability
Open standards, no lock-in
Smart-city programmes span multiple generations of procurement, multiple vendors, and multiple jurisdictions. Airfree is built on open standards at every layer — ensuring data and applications remain portable across administrations and technology cycles.
CityGML 3.0 underpins the digital twin geometry and semantic model. FIWARE NGSI-LD provides the context management and semantic interoperability layer for IoT data. OGC API standards govern spatial data access. The full stack is vendor-neutral and auditable.
Partner Ecosystem
A platform built for the smart-city supply chain
Smart-city programmes are delivered through multi-party ecosystems. Airfree operates as the geospatial platform layer within these ecosystems — partnering with system integrators, telcos, and IoT platform vendors to deliver complete solutions to city clients.
System Integrators
Tier-1 and regional systems integrators delivering smart-city transformation programmes. Airfree provides the geospatial and IoT data platform layer; partners deliver programme management, change management, and domain-specific applications on top.
Telecommunications
National and regional telcos providing 5G NR, LTE-M, and NB-IoT connectivity for outdoor sensor networks. Joint reference architectures connect telco IoT connectivity platforms directly to the Airfree spatial streaming layer.
IoT Platform Vendors
Leading IoT device management and edge computing vendors with certified connectors into the Airfree ingest layer. Pre-built adaptors cover the top twenty smart-city IoT platforms by global deployment.
Standards Bodies
Active participation in OGC, FIWARE Foundation, OASC, and ITU-T SG20 working groups. Airfree engineers contribute to and implement the standards that underpin interoperable smart-city data ecosystems.
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Build your smart city platform
Whether you are scoping a pilot or scaling a live deployment, our urban intelligence team will help you design an architecture that fits your city's data, your procurement framework, and your timeline.