Raqib · Pitch Deck
Defence & Security · COUNTER-UAS
Raqibرقيب
The hardware-agnostic brain for counter-drone defence — not another sensor to buy.
neuriya.ai — Sovereign, Arabic-first enterprise AI
Problem
Sites already own the sensors — they just can't tell a bird from a threat
- Critical-infrastructure sites — desalination plants, oil facilities, ports, military bases — already have CCTV, radar, RF detectors, and access-control systems installed, but each runs its own screen with no shared picture.
- Cheap commercial drones have made low-cost airspace incursions a near-daily operational question for Saudi critical infrastructure, not a rare event to plan around.
- An operator watching a bank of separate feeds cannot reliably tell a bird, a commercial drone, a friendly aircraft, and an actual incoming threat apart in the seconds that matter.
- Most current C-UAS options ask a site to buy and install an entirely new hardware stack — radars, effectors, a proprietary console — before it sees any value, which slows procurement to the pace of a capital project.
Solution
A hardware-agnostic sensor-fusion brain, not another sensor to buy
Product
Raqib in action
How it works
From first touch to outcome
Connect
Existing cameras, radars, and RF sensors are connected once, through their native protocols — nothing is replaced.
Fuse
Detections across every source are correlated into fused 3D tracks, with conflicts surfaced rather than silently resolved.
Classify
Each track is scored as bird, commercial, friendly, suspicious, or hostile, so operators triage instead of reviewing every feed.
Respond
Confirmed threats are handed to the site’s existing countermeasure or C2 systems, with the decision and its evidence trail logged.
Market
Sizing the opportunity
- TAM — $3.1B. Global counter-UAS software & sensor-fusion market, GCC-weighted
- SAM — $340M. Saudi critical-infrastructure and defence C-UAS software spend
- SOM — $22M. 3-year obtainable share via design-partner site deployments
GADD is explicitly funding defence R&D, AI, and startup incubation, Saudi's defence-localization target is above 50% by 2030 against a current baseline near 25%, and drone/missile incidents against Saudi infrastructure have made cheap, fast-to-deploy C-UAS a live procurement priority rather than a future one. Commercial-site pilots at Aramco-class operators, airports, and ports move far faster than military procurement, giving a software-first entrant a near-term revenue path ahead of any defence sale.
Business model
How Raqib makes money
Per-sensor-connection license
Priced by the number of camera, radar, and RF feeds fused into the track picture at a site.
Site subscription
Recurring fee for the fusion layer, classification models, and operator console running at a site.
Integration & protocol-adapter fee
One-time fee to build the adapters connecting a site's specific sensor and countermeasure vendors.
Revenue streams
Where the revenue actually comes from
Competition
Where we win
Our edge
- Hardware-agnostic by design — integrates any vendor's existing radar, EO/IR camera, or RF sensor rather than requiring a proprietary sensor purchase, which removes the biggest blocker to a fast commercial pilot.
- Classifies before it recommends: bird, commercial, friendly, suspicious, and hostile tracks are separated with a confidence score, so the operator triages a short list instead of every raw detection.
- Hands off to existing countermeasure and C2 systems instead of building or bundling an effector — this keeps the product inside the software/analytics category, not the munitions or targeting category, which materially shortens funding and export-control paths.
- Founding team combines hands-on defence-customer experience with sensor-fusion and computer-vision engineering, so the product is built around what an operator actually needs to act, not an AI demo.
Traction
Early validation, built for pilot readiness
- Full counter-UAS fusion experience designed and built end-to-end: fused airspace picture, track log, alert triage board, and per-track case file with evidence trail.
- Architecture pre-aligned to NDMO Classification, NCA ECC-2, and ISO 27001, with a hardware-agnostic integration layer scoped against representative radar, EO/IR, and RF vendors.
- Actively selecting design-partner critical-infrastructure sites for a first counter-UAS fusion pilot cohort.
Go-to-market
Land on one site's existing sensors, expand to the fleet
- 1Land with 1-2 design-partner critical-infrastructure sites willing to connect a subset of existing cameras, radar, and RF detectors into the fused picture.
- 2Prove classification accuracy and time-to-decision gains over a pilot period against the site's current separate-screen workflow, with confirmed threats routed to whatever countermeasure the site already has.
- 3Expand to the full sensor estate and additional sites — commercial critical infrastructure first, given faster procurement cycles, then defence and military customers as the platform's track record builds.
Team
Built by operators, not just builders
The ask
Raising a seed round to reach first counter-UAS fusion pilots
We're raising to fund the sensor-integration layer across representative radar, EO/IR, and RF vendors, the classification and track-fusion engineering, and the core team through first-revenue site pilots.