The Department of Defense is expanding its use of Artificial Intelligence (AI) by formalizing Palantir Technologies’ Maven system as a long-term program, signaling a shift from experimental tools to operational infrastructure.
Project Maven began in 2017 as a Pentagon effort to use AI to help analysts process massive volumes of surveillance imagery and video, but it has since evolved into a broader military intelligence and targeting platform that fuses data from multiple sensors to identify objects, assess threats, and support operational decisions.
Now, the Pentagon is moving to integrate those capabilities more broadly across the force. While the geospatial intelligence portion of Maven was designated a program of record under the National Geospatial-Intelligence Agency in 2023, the Pentagon is now moving to expand that designation into a broader, department-wide program with wider adoption across the services.
Elevating Maven to a “program of record” places it within the military’s formal budgeting and acquisition system, ensuring continued funding and long-term deployment.
The company’s footprint inside the Pentagon has grown through a series of expanding contracts rather than a single award. In addition to Maven-related deals, the Army awarded Palantir an enterprise agreement in 2025 that could be worth up to $10 billion over a decade, aimed at consolidating data and software systems across the service.
Palantir’s work on Maven itself has also expanded through multiple awards, including a five-year, $480 million Army contract in 2024, a roughly $100 million follow-on expansion later that year, and a 2025 contract modification valued at up to $795 million for continued system support and software licensing.
The latest move does not replace those contracts. Instead, it builds on earlier efforts by expanding Maven from a narrower intelligence program into a broader, Pentagon-backed capability intended for long-term, department-wide use.
What the System Does and Why It Matters
Maven uses artificial intelligence to process imagery and sensor data collected from drones, satellites and other surveillance systems. The goal is to reduce the workload on human analysts and speed up decision-making.
In practice, that means the software can help analysts find objects faster, flag notable activity, and feed those detections into systems used for operational awareness.
The National Geospatial-Intelligence Agency says Maven’s AI tools are integrated into military workflows to detect and identify objects in imagery and video, while helping analysts locate objects faster and spot abnormal or significant activity in near real time.
Palantir’s role is to provide the underlying data architecture that connects these systems. Its platforms allow different military units to share and analyze information across networks and use it to support planning and operations
The company has steadily expanded its defense footprint. In 2023, the U.S. Army awarded Palantir a contract worth up to $250 million for data integration and analytics services under its Tactical Intelligence Targeting Access Node program.
Palantir has also secured broader enterprise agreements that consolidate multiple data systems under a single platform, reinforcing its position as a key defense technology provider.
A Shift Toward Data-Centered Warfare
The Pentagon’s decision to formalize Maven reflects a larger shift toward what defense officials describe as “data-centric warfare,” where information processing speed can shape operational outcomes.
AI allows military systems to analyze more data than human operators alone could manage. That capability is increasingly important as sensors generate massive amounts of information across air, land, sea, and cyber domains.
The Department of Defense has emphasized that AI systems are intended to support, not replace, human decision-making. Policies governing the use of AI in military operations require human oversight, particularly in decisions involving the use of force.
Questions About Dependence and Oversight
Even so, integrating AI into core military systems raises questions about how much decision-making authority is effectively delegated to algorithms.
Palantir’s growing role in defense contracts has drawn attention from both supporters and critics.
Proponents argue that the company provides tools that allow the military to modernize quickly without building entirely new systems from scratch. Its software is designed to work with existing infrastructure, which can reduce deployment time and costs.
Critics, however, have raised concerns about long-term dependence on a single private contractor for critical data systems. Centralizing large portions of military data architecture within one platform can create challenges related to security, interoperability, oversight and vendor lock-in.
There are also broader questions about how AI-driven systems are used in targeting and intelligence analysis. While the Pentagon maintains that humans remain in the loop, the increasing reliance on automated analysis can shape how decisions are made.
Project Maven itself has faced scrutiny in the past. Early versions of the program prompted internal protests at Google, which initially worked on the project before withdrawing in 2018 following employee objections to its military use.
Following its work on Project Maven, Google introduced a set of artificial intelligence principles stating it would not design or deploy AI for weapons or technologies intended to cause injury.
The program has since continued under different contractors, including Palantir.
The expansion of Maven reflects the Pentagon’s urgency in keeping pace with technological competition, particularly as other countries invest heavily in artificial intelligence for military use. At the same time, the shift raises ongoing questions about how to balance speed, effectiveness, and accountability.
As AI systems become more deeply integrated into military operations, the underlying issue may not be whether the technology works; rather, how it is governed and who ultimately controls it.
