Maven Smart System
The Pentagon's AI targeting brain — Palantir-built software that fuses hundreds of intelligence feeds, uses computer vision and large language models to find and track targets, and runs the whole sensor-to-shooter loop. In the Iran war the US says it helped strike ~1,000 targets in a day.
The US military's AI targeting and intelligence-fusion software — Palantir-built, the operational product of Project Maven — that pulls hundreds of sensor feeds into one map, uses computer vision and large language models to detect and track targets, and runs the full find-to-strike loop. The clearest working example of the Pentagon's long-sought "all-domain command and control."
Overview
The Maven Smart System (MSS) is the US Department of Defense's flagship AI-enabled command-and-control, intelligence-fusion and targeting software, built and integrated by Palantir. It is the productized output of Project Maven, the 2017 Algorithmic Warfare Cross-Functional Team: MSS fuses dozens-to-hundreds of ISR and sensor feeds into a single map-based interface, applies computer vision and a large-language-model layer (Palantir's AIP) to detect, classify and track targets, then supports the entire sensor-to-shooter chain — detection, course-of-action, asset selection, strike and battle-damage assessment — "all from one system." It is being elevated to a formal program of record across the department by the end of FY2026, and is widely described as the most credible real implementation of CJADC2 (combined joint all-domain command and control). (Caveat: most of MSS's headline performance figures are US-government or contractor claims, on classified systems — read them as such.)
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