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A citizen- and employee-based drone detection system that turns ordinary smartphones into a distributed sensor network. Using AI triangulation from multiple simultaneous observers, RavenNet calculates a drone's position, altitude, heading and speed in real time, and the resulting situational picture can be shared via API into existing C2 systems or other operational platforms.
RavenNet is built as a dual-use solution: the public citizen version supports broad civil airspace awareness, while a closed enterprise version is aimed at government bodies and operators of critical infrastructure - for example monitoring ports, energy installations, and other vulnerable sites where traditional radar and RF sensors are too costly or impractical to deploy at scale.
RavenNet is currently in a live pilot with the Danish Home Guard on Bornholm.
This product can be seen at the exhibition.
This product can be seen at the Exhibition
This product is added by:
NEGSIS
NEGSIS is a Danish defence-tech company developing AI-driven, instructor-free competence development for military and civilian simulators. Founded by Anders Dyhrberg and Ane Storm.
Our flagship product, NEGSIS PACE, uses AI to give crews and operators continuous, individualised training directly inside the simulator - without requiring an instructor present at every session. PACE has been validated on a Gen-5 fighter jet simulator and a heavy vehicle simulator, turning an organisation's own simulator data into targeted, scalable competence development.
We are also behind RavenNET, a citi
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