The NiDAR Counter Unmanned Aerial Systems (CUAS) is a purpose-built smart system focused on detecting, tracking and destroying UAS from more than 25km away.

It can detect a broad array of drones, from micro to large, leveraging artificial intelligence (AI) and sensors to optimize its detection capabilities.

When UAS are located, the system employs electronic warfare measures to "soft-kill" drones and render them incapable of transmitting imagery or otherwise operating.

Its advanced Command and Control (C2) interface consolidates information into a single tactical picture that employs AI threat recognition, alerting controllers to advanced threats.

Automation and a user-friendly design enhance the operator's ability to rapidly identify and respond to threats.

The NiDAR CUAS suite of sensors quickly classifies collected information and provides options to operators.

Multiple data streams

It consolidates multiple surveillance data streams including radar, electro-optical, satellite enabled Automatic Dependent Surveillance–Broadcast (ADS-B), radio frequency monitoring and an intelligence database to identify UAS threats.

Once a threat is tracked, the system synthesizes information about the locations of assets that need to be protected, employs intelligent machine learning to classify any aerial threats and identifies what available countermeasures are best suited to respond.

In September 2023, the NiDAR CUAS made an appearance at Red Sands Live Effects 23.2, a counter-small UAS (C-sUAS) exercise conducted by Saudi armed forces and US Army Central.

As both state and non-state hostile actors employ cheap, off-the-shelf drones to attack equipment, personnel and civilian assets and infrastructure, countering aerial threats has risen in prominence as a key defensive function.

The NiDAR CUAS increases the speed and efficiency with which operators can detect, verify, track and counter hostile UAS.