(Representative only.) A US soldier launches a small quadcopter drone during a field exercise, showcasing frontline integration of autonomous and connected systems. Photo: Sgt. Dominick Smith/US Army
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American tech firm Picogrid has integrated its Legion software with Palantir’s Maven Smart System (MSS), a $1.3-billion artificial intelligence platform powering US military operations.

The integration creates a live data bridge between the tactical edge and command centers, streaming real-time data from sensors, drones, and other field systems directly into operational networks.

Modern combat generates massive amounts of data from diverse systems, often isolated in silos that slow decision-making. The Legion–MSS integration aims to close that gap, giving commanders access to a unified, real-time view of the battlefield.

(Representative only.) US Marine Corps Lance Cpl. Oliver Lavenson, left, a fire support Marine with the 11th Marine Expeditionary Unit. Photo: Sgt. Trent A. Henry/US Army

“Our focus has always been on breaking down data silos to give our warfighters a decisive advantage,” said Zane Mountcastle, CEO of Picogrid. 

“By connecting Legion’s rich, real-time data streams directly into Maven’s powerful analytics engine, we’re giving commanders the fastest, most complete picture of the battlefield. It’s about empowering decision-makers with the best information at speed.”

The collaboration aligns with the Pentagon’s shift toward autonomous and connected operations, ensuring tactical units and decision-makers can act on the same live data feed.

Field-Proven Integration

The integration was validated during the XVIII Airborne Corps’ Scarlet Dragon exercise at Fort Bragg, where the two companies demonstrated live data streaming from deployed sensors and drones directly into MSS.

The event marked the first operational connection between Palantir’s AI-driven platform and command systems at the tactical edge.

Both firms plan to expand the collaboration, linking more sensors, drones, and field-deployed technologies to Maven in future exercises.

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