The nervous system
of the urban environment.
Lighting, cameras, air quality, intersections and utilities operating as one responsive organism — sensing conditions and adapting the city in real time.
Built as one system, not a stack of tools.
Luminaires that dim, brighten and report faults based on movement, weather and event context.
Privacy-preserving computer vision at the edge — only events leave the pole, never raw footage.
Air quality, noise, flood and heat mapped block by block, with alert thresholds per district.
Signal timing that responds to live demand, transit priority and emergency corridors.
One registry for every asset — poles, cabinets, sensors, meters — with lifecycle and health state.
Multi-modal awareness of vehicles, cyclists and pedestrians for measurably safer junctions.
From raw signal
to decisive action.
- Lower energy and maintenance spend across public assets
- Faster detection and resolution of street-level incidents
- Evidence-based planning with block-level environmental data
- Safer intersections for pedestrians, cyclists and drivers
Retrofit existing assets or deploy new nodes on the same protocol layer.
Edge inference turns raw signal into structured, privacy-safe city events.
Policies fire across lighting, signals and departments in one action graph.
Every intervention is measured against baseline outcomes for public reporting.
Deploy the nervous system
on Aeronode.
Deployments start with a single sensor and scale to an entire region. Talk to our team about a pilot.