Solution
Critical Infrastructure
Earlier, evidence-backed airspace awareness around important sites.
Operating context
Power stations, water works, telecom hubs, fuel depots and similar sites share one concern: something unexpected in the air above or near them, and no clear way to tell what it is, where it came from or how long it has been there.
Questions asked here
- What is in the airspace around the site right now, and what is it based on?
- Has this object been seen before, and where did it come from?
- Which observation is the site's own sensing and which is a report from elsewhere?
What is difficult today
Sites are watched by separate tools that each show part of the air picture. An operator must join them by hand, and the join leaves no record of what was known when a decision was taken.
Operational flow
Where the weight falls in this environment
- Observe
- Correlate
- Verify
- Track
- Understand
- Prioritise review
- Alert
- Record
- Review
- Improve
The weight falls on verifying and recording: every statement about the airspace keeps its sources, and the record lets a later review see exactly what was known at the time.
A worked environment state
Three moments from a synthetic scenario, in relative terms.
| Moment | What is seen | What is stated |
|---|---|---|
| 1 | A passive source reports movement near the perimeter | One source holds it; it is not yet confirmed |
| 2 | A second, independent source sees the same area | The two reports are related and the confidence is stated with its reasons |
| 3 | The shift ends | The record of what was seen, and from which sources, passes to the next shift unchanged |
| Item | Updates |
|---|---|
| Under 1 min | 62 |
| 1 to 5 min | 28 |
| Over 5 min | 10 |
Twin and context view
The same state can be opened in the digital twin, where its layers, its sources and its record sit side by side.
What we can show today
This page claims nothing above the level of the projects it rests on.
- Airspace Intelligence Core PlatformEvidence level: E1 · Architecture Defined
- Passive RF Sensing NodeEvidence level: E1 · Architecture Defined
- Passive Coherent Location (PCL) RadarEvidence level: E1 · Architecture Defined
- Electro-Optical AI Detection & ClassificationEvidence level: E0 · Concept
- Multi-Sensor Fusion EngineEvidence level: E0 · Concept
- Critical Infrastructure Airspace ProtectionEvidence level: E0 · Concept
- Drone Detection & Airspace Intrusion IntelligenceEvidence level: E0 · Concept
What this does not claim
- The page describes a design for awareness around a site; it does not describe protection or response.
- No detection range, accuracy or response time is stated, because none has been measured.
- Most linked projects are designs not yet validated in the field; the evidence level of each is shown below.
Responsible positioning
AIR NEXUS provides awareness and a record. It does not promise protection and it does not act on what it shows. The decision stays with the site's owners and the competent authorities.
Projects behind this
- Airspace Intelligence Core PlatformTurn fragmented observations into a reviewable airspace state.
- Passive RF Sensing NodeObserve the radio-frequency environment without becoming another transmitter.
- Passive Coherent Location (PCL) RadarAirspace awareness from signals already moving through the environment.
- Electro-Optical AI Detection & ClassificationSee the observation. Understand the evidence. Keep uncertainty visible.
- Multi-Sensor Fusion EngineCombine what belongs together without erasing where it came from.
- Critical Infrastructure Airspace ProtectionPersistent awareness for the airspace around infrastructure that cannot afford blind assumptions.
- Drone Detection & Airspace Intrusion IntelligenceDetect activity. Build context. Preserve the evidence behind the airspace state.