Category Archives: AI

Quantum Systems Raises €160M Series C Funding

Quantum Systems – a supplier of AI-powered aerial intelligence systems for defense, emergency services, and industry – has raised €160 million in new funding, led by Balderton Capital, with participation from Hensoldt, Airbus Defense and Space, Bullhound Capital, LP&E AG and existing investors, including HV Capital, Project A, Peter Thiel, DTCP, Omnes Capital, Airbus Ventures, Porsche SE and Notion. Continue reading

Palladyne AI and Red Cat Complete Successful Cross-Platform Collaborative Drone Flight

Palladyne AI Corp., a developer of artificial intelligence software for robotic platforms in the defense and commercial sectors, and Red Cat Holdings, Inc., a drone technology company integrating robotic hardware and software for military, government, and commercial operations, have announced a significant testing milestone in their ongoing collaboration – the completion of an autonomous, cross-platform collaborative flight involving three diverse heterogeneous drones. Continue reading

Airbus, Shield AI Partner to Integrate Autonomy on Unmanned Aerial Logistics Connector

Airbus U.S. Space & Defense and Shield AI announced a teaming agreement to integrate Shield AI’s Hivemind autonomy software on the Airbus MQ-72C Logistics Connector, an unmanned variant of the UH-72 Lakota. The collaboration will expand the platform’s mission capabilities through autonomy-enabled operations across a wide range of logistics and operational scenarios—including those under the U.S. Marine Corps’ Aerial Logistics Connector (ALC) program. Continue reading

Italy’s ELT Group Launches New Counter UAS KARMA (Kinetic Anti-drone Mobile Asset)

The ELT Group  has launched its new product KARMA (Kinetic Anti-drone Mobile Asset), a rapidly deployable (AI based) Counter UAS system – both in mobile and fixed configuration – capable of detecting, recognising and identifying class 1 and 2 UAS, through Artificial Intelligence algorithms that increase the effectiveness of on-board sensors and effectors and thus system performance. Continue reading