The Pentagon utilized the Maven Smart System (MSS) extensively throughout the 38-day air war against Iran, known as Operation Epic Fury. According to Cameron Stanley, the Pentagon’s Chief Digital and AI Officer (CDAO), the military hit 13,000 targets during this timeframe using the Palantir-developed platform. Usage data reveals a significant spike in demand, with unclassified system usage increasing by 38 percent and classified usage climbing 89 percent month-to-month. Daily system traffic measured in tokens grew by 4,425 percent, peaking at roughly 20 billion tokens on a single day.

Originally a small cross-functional team of 45 people, the MSS has developed into a command and control (C2) toolkit for military planning. It supports semi-autonomous AI agents for routine operations and enables functions such as automated object detection, synchronized battlespace visualization, and the analysis of intelligence reports to generate strategic courses of action.

The rapid growth in deployment is creating infrastructure concerns regarding compute capacity. Stanley indicated that his primary objective is ensuring the Department of Defense can sustain the high demand across all classification levels. Addressing concerns regarding AI in warfare, Stanley emphasized a human-machine teaming approach, where the technology executes fast data processing while human commanders maintain control over operational art, context, and legal compliance to minimize potential decision-making errors.

The Pentagon utilized the Maven Smart System (MSS) extensively throughout the 38-day air war against Iran, known as Operation Epic Fury. According to Cameron Stanley, the Pentagon’s Chief Digital and AI Officer (CDAO), the military hit 13,000 targets during this timeframe using the Palantir-developed platform. Usage data reveals a significant spike in demand, with unclassified system usage increasing by 38 percent and classified usage climbing 89 percent month-to-month. Daily system traffic measured in tokens grew by 4,425 percent, peaking at roughly 20 billion tokens on a single day.

Originally a small cross-functional team of 45 people, the MSS has developed into a command and control (C2) toolkit for military planning. It supports semi-autonomous AI agents for routine operations and enables functions such as automated object detection, synchronized battlespace visualization, and the analysis of intelligence reports to generate strategic courses of action.

The rapid growth in deployment is creating infrastructure concerns regarding compute capacity. Stanley indicated that his primary objective is ensuring the Department of Defense can sustain the high demand across all classification levels. Addressing concerns regarding AI in warfare, Stanley emphasized a human-machine teaming approach, where the technology executes fast data processing while human commanders maintain control over operational art, context, and legal compliance to minimize potential decision-making errors.