Soldiers in a command center monitor digital maps and data feeds during a multi-domain military training exercise.
US Army soldiers participate in a multi-domain command training exercise, using real-time data feeds to support operational decision-making. Photo: Staff Sgt. Cayce Watson/DVIDS

BAE Systems and Scale AI are developing agentic AI capable of turning battlefield data into near real-time action, moving AI beyond analysis and into decisions that shape missions.

In a strategic partnership, the companies bring together BAE’s mission systems expertise with Scale’s AI capabilities to integrate intelligent systems directly into military platforms. 

The agentic AI is designed to adapt to changing conditions, supporting or initiating actions as missions unfold.

The push reflects a broader challenge in modern warfare: expanding volumes of sensor data are overwhelming human analysis, increasing the need for faster, AI-assisted decision cycles.

“Modern warfare is won at the speed of data,” said Peder Jungck, Chief Innovation & Strategy Officer for the Intelligence & Security sector at BAE Systems.

He explained that the collaboration aims to equip the US Department of Defense with advanced agentic AI to build intelligent, adaptive systems capable of outpacing adversaries.

Among the highlighted capabilities is aided target recognition, which converts sensor data into actionable insights, enabling faster threat identification and coordination across distributed forces. 

Similar tools are already being tested in the field, where AI systems are moving beyond analysis and into the decision layer of military operations. 

In recent US Army exercises, AI processed drone imagery in near real time to identify threats and generate terrain models used directly for mission planning.

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