الدفاع والأمن· DEFENCE & SECURITY · COUNTER-UAS

Raqibرقيب

The hardware-agnostic brain for counter-drone defence — not another sensor to buy.

A sensor-fusion command layer that turns the cameras, radars, and RF detectors a site already has into an AI-powered drone detection network — classifying every track as bird, commercial, friendly, or hostile, and handing confirmed threats to the countermeasure systems already in place.

لا طائرة تمر دون أن تُعرف

“No aircraft passes unknown.”

What Raqib does

Hardware-agnostic sensor ingestion

Connects to the CCTV, radar, RF detectors, and EO/IR cameras a site already has, from any vendor — no new sensor hardware to buy or install.

Multi-sensor track fusion

Computer vision and sensor fusion correlate detections across every connected source into one track per object, not a separate alert per camera.

Bird, drone, and threat classification

Every track is classified — bird, commercial drone, friendly, suspicious, or hostile — with a confidence score, from kinematics and signature features alone.

Operator command console

A live fused airspace picture, an alert triage board, and a full case file per track give the operator everything needed to decide in seconds, not minutes.

Countermeasure hand-off, not replacement

Confirmed threats route to the jamming, interception, or C2 systems already deployed at the site — Raqib recommends and hands off, it never fires.

Full evidence and audit trail

Every track, contributing sensor, classification, and operator decision is retained and replayable for after-action review and compliance.

See Raqib in action

An early UX walkthrough of the product, designed bilingually from day one.

1Fused airspace picture screen — neuriya Raqib

Fused airspace picture

2Track log screen — neuriya Raqib

Track log

3Alert triage board screen — neuriya Raqib

Alert triage board

4Track case file screen — neuriya Raqib

Track case file

How it works

01

Connect

Existing cameras, radars, and RF sensors are connected once, through their native protocols — nothing is replaced.

02

Fuse

Detections across every source are correlated into fused 3D tracks, with conflicts surfaced rather than silently resolved.

03

Classify

Each track is scored as bird, commercial, friendly, suspicious, or hostile, so operators triage instead of reviewing every feed.

04

Respond

Confirmed threats are handed to the site’s existing countermeasure or C2 systems, with the decision and its evidence trail logged.

NDMO ClassificationNCA ECC-2ISO 27001Hardware-Agnostic

Fuse your existing sensors into one counter-drone picture

We're selecting design-partner critical-infrastructure sites for the first counter-UAS fusion pilot cohort. Book a briefing to review your current sensor inventory and integration path.

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