AI multi-sensor fusion
Graph neural networks correlate acoustic, visual and RF observations across thousands of nodes — sub-1% false alarms, coherent swarm tracking.
idhabi / nation protected by love of its people
23 Million Phones in the UAE. Turn Each One into a Radar.
Multimodal data fusion using 23M mobile phones and HAPS to build the world's first radar cover with ZERO blind spots.
- /Sovereign
- /Privacy-by-Design
- /Multi-Domain Ready
The gap
A national low-altitude blind spot, widening every quarter.
Radar was never built for this
Legacy networks are tuned for fast, high, metallic aircraft. Low, slow, small and swarming platforms fly beneath the coverage floor and through the clutter.
Blanket sensing does not scale
Dedicated ground sensors at national density mean tens of thousands of sites, power, backhaul, and lifetime maintenance no treasury will approve.
Threats iterate faster than procurement
Airframes and autonomy stacks change in weeks. Programmes of record change in years. The gap between the two is where incidents happen.
The system
How idhabi works.
Voluntary at the edge. Sovereign at the core. Persistent overhead.
- 01
Citizen devices
Opt-in phones contribute acoustic signatures, brief vision cues, and passive 5G/RF perturbation sensing.
- 02
Edge AI filtering
On-device models discard everything that is not an aerial signature. Raw audio and imagery never leave the handset.
- 03
Secure mesh uplink
Only compact, privacy-preserving detection vectors travel, encrypted, over the sovereign mesh.
- 04
Multi-modal fusion
Thousands of weak observations resolve into confident tracks through graph-based spatiotemporal fusion.
- 05
HAPS persistent stare
Stratospheric platforms are cued onto candidate tracks with EO/IR, radar and ISAC payloads for confirmation.
- 06
Operator action
Authorised operators receive classified-grade tracks, identity confidence, and hand-off to existing effectors.
VoluntaryPrivacy-preservingEdge-firstSovereign control
Differentiators
Capability that compounds with every consenting device.
HAPS stratospheric super-nodes
Weeks of on-station persistence at 20 km with EO/IR, radar and integrated sensing-and-communication payloads.
Privacy-by-design
On-device inference, differential privacy on contributed vectors, zero raw audio or imagery leaving any device. Consent is revocable at any time.
Extreme cost leverage
Near-zero marginal cost per additional sensor. Coverage grows with adoption instead of with capital programmes.
Rapid adaptation
New threat signatures are trained centrally and pushed to the entire mesh in hours, not procurement cycles.
Open architecture
Standards-based track publication and clean hand-off into existing command, control and effector chains.
Impact
Measured against the standard the threat sets.
>0%
Detection probability, low-altitude propeller threats
<0%
False alarm rate after multi-modal fusion
0–0 km
Track continuity, street level to stratosphere
0×
Order-of-magnitude cost advantage vs. pure radar
Coverage density scales with population: the places that matter most are, by definition, the places with the most sensors.
Architecture
Five layers, one continuous picture.
A deliberately simple stack: sensing at the edge, intelligence in the sovereign core, persistence overhead, authority with the operator.
- L1uplink
Citizen device layer
Acoustic · vision · passive RF
- L2uplink
Edge inference
On-device filtering & anonymisation
- L3uplink
Sovereign fusion core
Graph fusion · identity · tracking
- L4uplink
HAPS layer
Persistent stare · cueing · ISAC relay
- L5output
Operator dashboard
Tracks · confidence · effector hand-off
Trust & governance
Designed to survive scrutiny, not avoid it.
Full resident consent
Explicit, granular, revocable opt-in. Participation is visible to the citizen at all times and never a condition of service.
Sovereign data control
Fusion core, models and archives remain under national jurisdiction and national key management. No foreign dependency in the detection loop.
Auditability
Every query, cue and track is logged immutably for independent oversight bodies and parliamentary review.
Cybersecurity hardening
Zero-trust mesh, signed model updates, attested edge runtimes and continuous adversarial testing.
Clear rules of engagement
idhabi detects, classifies and cues. Authority for any response stays with accountable human operators under published doctrine.