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Makinglowerairspacevisible.

Xneural turns distributed drone detections around critical sites into live tracks, historical evidence, and alert-ready data.

  • Distributed Sensing

    Dense distributed sensing for resilient urban coverage.

  • 24/7 Monitoring

    Fixed deployments watch over the lower-airspace.

  • Edge-to-Cloud Fusion

    Distributed sensor nodes connect through an edge hub into the backend service.

  • Alert-Ready Data

    Real-time alerts, tracks, and classification are available for customer systems.

Drone activity is moving faster than airspace awareness.

  1. Lower airspace is active

    Authorized, non-authorized and dark drones are increasingly part of the operating environment around valuable sites and critical infrastructure.

  2. Coverage is fragmented

    Responders rely on manual observation, isolated sensors, or incident-driven tools that do not create a continuous operational picture.

  3. Awareness is required

    Owners of critical infrastructure are pushed by regulators to integrate drone response into their security processes.

A distributed network that turns sensor coverage into a service.

A sensor node mounted on a cell tower

Continuous lower-airspace monitoring

Distributed sensors provide a scalable solution to create a 24/7 wide area coverage of lower-airspace activity.

Edge AI for flight track creation

Each deployment aggregates nearby sensor nodes to clutter-free, reliable drone tracks, reducing required network bandwidth.

Cloud engine enables multi-track fusion

Sovereign cloud engine orchestrates sensor nodes and fuses different drone tracks into a single data stream for live views, incident response, and analytics.

Service Layer

Alerts flow into security operations and customer command & control systems through a dedicated API.

Early warning, one track, and total observability.

A clear operational picture of lower airspace, delivered without the cost and complexity of owning the detection infrastructure.

  • Early warning

    Customer-defined zones trigger alerts when an object enters monitored airspace.

  • One true track

    Overlapping detections are fused into a single movement trail with useful context.

  • Reliable detection of all drone types

    AI-based drone classification and threat assessment detects cooperative and non-cooperative drones.

  • Detection as a Service

    Subscription-based model instead of high upfront investment.

Built for organizations that need airspace awareness.

German police car

Government & Security

Electrical power station infrastructure

Critical Infrastructure

Large stadium prepared for an event

Event Operators

Bring drone awareness into your security planning.

Talk to Xneural about monitored sites, pilot deployments, and integration into your operational workflows.

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