Droneshield LLC


Developer and manufacturer of multi-domain counter-uncrewed systems for detection, classification, and mitigation of drone threats. Technical focus areas include radio-frequency sensing, multi-sensor fusion with AI/ML, edge inference, electronic warfare, software-defined radios, rapid prototyping and MIL‑SPEC manufacturing. Solutions are deployed for military, government, law enforcement and critical infrastructure users.

Industries

N/A


Products

Wearable passive RF detector for dismounted operations

Lightweight, non-emitting wearable sensor that detects and localises UAS RF emissions for dismounted operators.

Handheld RF mitigation and capture unit

Operator-held device providing non-kinetic mitigation capabilities for immediate response scenarios.

Vehicle-mounted integrated detect-and-defeat system

On-the-move system combining RF, radar and optical sensors with C2 for maritime and land vehicle deployment.

Fixed-site modular C-UAS platform

Modular, scalable fixed-site detection and mitigation system for long-term protection of airports, prisons and critical infrastructure.


Services

Counter-UAS command-and-control software

Enterprise and tactical C2 platforms that aggregate sensor feeds, provide operator workflows and enable integrated mitigation actions.

Training and simulation services

Operational training including VR-based scenarios and operator familiarisation to reduce cognitive burden and improve response times.

System integration and deployment services

Design and integration of layered sensor and effector architectures for fixed site, on-the-move and dismounted use cases, including field testing and commissioning.

Regulatory and operational advisory for aviation and critical infrastructure

Support for integrating counter-UAS capabilities into aviation and on-site operational workflows, including considerations for authority, safety and compliance.

Expertise Areas

  • Counter-UAS system development
  • Electronic warfare and RF countermeasures
  • Sensor fusion and AI/ML for real-time detection
  • Edge computing and embedded AI
  • Show More (6)

Key Technologies

  • Radio-frequency sensing and direction finding
  • Multi-sensor data fusion (radar, RF, optical)
  • Machine learning / AI for detection and classification
  • Edge computing / micro-AI inference
  • Show More (7)

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