Palantir's Al Targeting System Running the Iran War
Bottom Line Up Front:
Palantir's Maven System, Powered by Anthropic's Claude, Enables Rapid Targeting in Iran War—But Supplier Dispute Threatens Technology Pipeline
Bottom Line Up Front: The U.S. military successfully employed Palantir's Maven Smart System, integrated with Anthropic's Claude large language model, to process over 1,000 targets in the first 24 hours of Operation Epic Fury against Iran in February 2026. However, the Pentagon's subsequent designation of Anthropic as a "supply chain risk"—a designation previously reserved for foreign adversaries—has created an unprecedented legal and policy crisis that threatens to disrupt this critical targeting infrastructure during active conflict.
The Sensor Architecture: Seeing the Battlefield at Machine Speed
To understand Maven's operational impact, one must first grasp the sensor fusion architecture that feeds it. The Palantir Maven Smart System integrates over 150 disparate data sources—an unprecedented aggregation of intelligence streams that compress traditional targeting cycles from hours to minutes.
The sensor array spans multiple modalities and classification levels. At its core are wide-area motion imagery (WAMI) systems mounted on MQ-9 Reaper drones, synthetic aperture radar (SAR) constellations in orbit, signals intelligence (SIGINT) intercepts, geolocation data derived from advertising networks, and real-time satellite imagery. Maven's novelty lies not in any single sensor, but in its ability to correlate and synthesize these heterogeneous data streams into a unified operational picture—what the Pentagon calls the Ontology layer, a standardized digital representation of the entire battlespace.
The Reaper and Gorgon Stare: Persistent Wide-Area Surveillance
The cornerstone of Maven's sensor input at the tactical level is the MQ-9 Reaper remotely piloted aircraft, equipped with Gorgon Stare, the U.S. Air Force's only operational day/night persistent wide-area motion imagery capability.
The Gorgon Stare Increment 2 system, which achieved initial operational capability in 2014, represents a generational leap over earlier narrow-field-of-view drone cameras that operators famously described as viewing the battlefield through a "soda straw." Gorgon Stare Increment 1 employed nine cameras—five electro-optical (EO) and four infrared (IR)—to provide imagery at approximately 2 frames per second across up to 16 square kilometers. The Increment 2 system, leveraging technology derived from DARPA's ARGUS-IS program, provides a four-fold increase in area coverage and a two-fold improvement in resolution.
The system consists of two sensor pods mounted underneath the Reaper's wings. The first carries advanced EO sensors derived from DARPA's Autonomous Real-Time Ground Ubiquitous Surveillance Imaging System (ARGUS-IS) technology, manufactured by BAE Systems. The second integrates infrared arrays sourced from Exelis, enabling continuous day/night operations from 25,000 feet. The Increment 2 upgrade increased persistent surveillance coverage from approximately 16 to 64 square kilometers, covering an area roughly equivalent to a small city.
Gorgon Stare delivers three "tiers" of surveillance down to progressively smaller details within the broader field of view. Users receiving imagery within seconds after collection can identify items of immediate tactical interest, while recorded data—stored for up to 30 days—provides forensic playback capability. Two Reapers can provide continuous surveillance over large areas to track enemy movements and conduct pattern-of-life analysis.
The system performs motion detection on a scale that overwhelms human analysts. A single Gorgon Stare sensor flying from 25,000 feet can track hundreds of moving targets simultaneously within its surveillance zone, generating data that would require a small army of intelligence officers to review manually. This is where Maven—and its integration with Claude—becomes operationally indispensable.
ARGUS-IS: The Gigapixel Generation
The sensor technology that informed Gorgon Stare Increment 2, ARGUS-IS, demonstrates the raw capability available to the military's AI systems. Originally developed by DARPA under contract to BAE Systems and initially deployed around 2010, ARGUS-IS employs 368 five-megapixel camera sensors, each derived from commercial smartphone camera technology, stitched together through four image-stabilized telescopic lenses into a single 1.8 gigapixel camera system.
Operating from an altitude of 17,500 to 20,000 feet, ARGUS-IS can capture a field of view measuring up to 10 square miles (25 square kilometers) in a single frame, at 12-15 frames per second. The system enables zoom capability without loss of overview—an operator can zoom from a wide citywide view down to identify six-inch-resolution details (human figures, vehicle types, individual personnel) while maintaining situational awareness of the broader area.
The data demands are staggering. ARGUS-IS generates approximately 600 gigabytes of video data per second, or roughly 6 petabytes (6 million terabytes) daily. The system processes this through two computational subsystems—one mounted aboard the aircraft and one ground-based—using Persistics software to identify and track thousands of moving objects simultaneously across the surveillance zone. The capability represents what military strategists call "forensic playback": after an event of interest occurs (an IED explosion, a firefight, a vehicle movement), analysts can rewind the video to determine the source, the preceding pattern of behavior, and the destination—essential for pattern-of-life analysis and predictive targeting.
Full-Motion Video and Multispectral Targeting
Complementing the wide-area systems are traditional full-motion video (FMV) feeds from MQ-9 Reapers equipped with Multispectral Targeting System-B (MTS-B) pods. The MTS-B integrates EO/IR sensors, color and monochrome daylight TV, image-intensified TV, and laser designator/illuminator capabilities, providing FMV as separate video streams or fused together. These narrow-field-of-view systems allow precise target confirmation and terminal weapon guidance once Maven has recommended a target of interest.
Critically, MQ-9 Reapers now operate effectively in GPS-denied environments using visual positioning systems. Vantage's Raptor system, matched against precision 3D terrain models built from 30-centimeter satellite imagery, allows Reaper navigation based on matching onboard camera feeds against prior map data, eliminating reliance on satellite GPS that adversaries routinely jam and spoof in contested airspace.
Satellite Intelligence Integration
Maven ingests continuous feeds from both military and commercial satellite systems. Synthetic aperture radar (SAR) satellite constellations—including military systems and commercial platforms from Capella Space and Iceye—penetrate cloud cover and darkness to deliver 25-centimeter resolution radar imagery suitable for JDAM targeting and dismounted target tracking. Commercial satellite imagery from Vantage and Planet Labs provides additional optical intelligence, while signals intelligence (SIGINT) systems intercept electronic emissions, communications, and radar signatures.
The system also correlates open-source intelligence: RF satellite constellations like Spire detect vessel movements through dark vessel tracking (ships with disabled automatic identification systems), while advertising network geolocation data—derived from mobile applications like Candy Crush on devices aboard shadow-fleet vessels—provides alternative corroboration of target locations even when all other signatures are masked.
The Maven Architecture: Fusion, Reasoning, and Recommendation
Maven's architecture operates across three distinct layers, each building on the one below:
Layer 1: Data Aggregation and Ontology. Maven pulls together data from its 150+ sources into a standardized Ontology layer—a digital twin of the battlespace where heterogeneous sensor data is transformed into structured objects: "Detection," "Satellite Image," "Vessel Track," "Communication Intercept." Computer vision algorithms automatically process continuous video feeds from Gorgon Stare, WAMI systems, and traditional FMV sensors, generating automated detections with confidence scores and object classifications (vehicle type, personnel, equipment, etc.).
Layer 2: Sensor Fusion and Visualization. The Ontology layer feeds into Palantir's Gotham and Artificial Intelligence Platform (AIP), which perform multi-modal sensor fusion and correlation. The system automatically associates detections across different modalities—if a radar blip at coordinates X matches a satellite image detection at the same coordinates within a tight temporal window, Maven correlates them as a single target. Multiple surveillance passes (Gorgon Stare, satellite SAR, FMV) observing the same object create a persistent, traceable signature. Human analysts and commanders interface with a Google Earth-like visualization layer where they can select and deselect different data types and drill down from strategic overview to tactical detail.
Layer 3: LLM-Powered Reasoning and Course of Action Generation. This is where Claude enters the loop. Maven presents the fused intelligence picture to Claude alongside military doctrine, rules of engagement (ROE), targeting priorities, available weapons platforms, and operational constraints. Claude synthesizes this information to reason about the battlespace: "Given this detected convoy moving toward location Y, given our ROE restriction on civilian areas, and given our available assets (B-52 with 8 Tomahawks at coordinates A, F-18 with PGMs at coordinates B, etc.), what is the optimal course of action?" Claude recommends not just which target to strike, but which weapons system should execute the strike, sequencing recommendations by multiple optimization criteria: time to target, fuel consumption, munitions availability, minimized collateral damage risk, and compliance with ROE.
After LLM integration, Maven's processing rate increased to 5,000 targets per day from less than 100 pre-AI, with the system generating 1,000 targeting recommendations within the first 24 hours of Operation Epic Fury.
Human Approval and Weapons Release
Critically, the system maintains human decision-making authority. Maven presents its recommended courses of action through a kanban-board-style interface, where human operators (at battalion, brigade, division, and combatant command levels) can view, validate, and approve targeting recommendations. Only after human approval do weapons systems execute the strike. However, the scale and speed of this process represents an unprecedented compression of the sensor-to-shooter timeline—what the military calls the "kill chain." What previously required a 72-hour coordination cycle between ISR analysts, intelligence officers, legal review, command approval, and weapons planning now occurs in minutes or seconds.
The Anthropic Integration: From FedStart to Combat
The marriage of Palantir and Anthropic's Claude was neither accidental nor recent, though it represented a critical strategic escalation in LLM deployment for military targeting. Anthropic's path to Maven integration began through the company's FedStart program, a partnership framework designed to bring frontier AI capabilities to government customers operating in classified environments.
In April 2025, Anthropic joined Palantir's FedStart program, enabling Claude to be deployed for government customers at FedRAMP High and DoD Impact Level 5 classification levels, running on Google Cloud infrastructure. This infrastructure foundation—classified cloud computing with proper accreditation—was necessary before Claude could be embedded into Maven's targeting pipeline.
The technical integration accelerated through 2025. In late 2024, the Pentagon began formal integration of Claude into Maven, with Claude 3 and 3.5 family models integrated into Palantir's AI Platform running on Amazon Web Services (AWS). These models received Defense Information Systems Agency Impact Level 6 accreditation, permitting use in the most sensitive military networks. This accreditation level represents the highest classification for cloud computing infrastructure, signifying that Claude's reasoning processes were deemed sufficiently secure to operate on classified defense networks processing sensitive operational targeting data.
In June 2025, Anthropic announced "Claude Gov," a variant optimized for classified environments and running on AWS within secure military enclaves maintained by the national security community. This version was built specifically to support the Pentagon's intelligence and targeting workflows at scale, with modifications to handle the massive throughput demands of simultaneous processing of thousands of targeting packages.
The capstone came in July 2025, when Anthropic announced that the Department of Defense, through its Chief Digital and Artificial Intelligence Office (CDAO), awarded Anthropic a two-year prototype other transaction agreement with a $200 million ceiling. The contract explicitly stated its purpose: to "prototype frontier AI capabilities that advance U.S. national security." This wasn't a limited test or pilot program—it was a full-scale, high-dollar integration of frontier AI into military operations.
In February 2026, Jack Shanahan, director of the Pentagon's Joint Artificial Intelligence Center, formally stated that Anthropic was "a partner of Project Maven," confirming the integration at the highest levels of military AI leadership. At the same time, Shanahan disclosed that the 18th Airborne Corps—the main tester of Project Maven conducting live-fire exercises for years—was using Maven in active combat operations.
The deployment proved operationally critical. Sources told Bloomberg that Claude is central to Palantir's Maven Smart System, which provides real-time targeting for military operations against Iran. Because of its centrality to the war targeting, Claude won't be phased out until the DoD has found a replacement, according to sources that spoke with the Washington Post. According to WaPo's sources, the system spits out precise location coordinates for missile strikes and prioritizes them by importance.
The Technical Role of Claude in Targeting
Claude's specific function within Maven distinguishes it from commodity LLM deployments. The system is not generating raw targeting lists independently; rather, it serves as an intermediary reasoning layer between the fused sensor data and human commanders.
When Maven's computer vision systems have identified potential targets and the Ontology layer has correlated detections across multiple sensor modalities, Claude receives a structured query: "Given this detected military facility at coordinates X, given our intelligence that it is associated with weapons production, given our ROE limiting strikes near civilian areas, given our available air assets (B-1 bombers, F-18s, etc.), what is the recommended course of action and which asset should be tasked?"
Claude reasons through the problem using military doctrine, rules of engagement specific to the operation, real-time availability and positioning of weapons platforms, fuel/munitions load calculations, and risk assessment regarding collateral damage probability.
Claude then outputs a structured recommendation: "Target Priority: HIGH. Recommended Asset: B-1 Bomber Flight consisting of [call signs]. Recommended Munitions: 2x Tomahawk Block IVc. Estimated Time to Target: 14 minutes. Estimated Collateral Damage Risk: LOW. ROE Compliance: FULL. Confidence: HIGH."
This output then appears in Maven's kanban interface, where human operators review, validate, and approve before weapons release authorization.
The speed differential is what drove Maven's operational impact. Without Claude, a similar targeting package would require: Intelligence officers to manually review sensor data (2-4 hours); Target development team to corroborate multiple intelligence sources (1-2 hours); Legal review to confirm targeting compliance (30 minutes to 1 hour); Weapons planning cell to match available assets to target requirements (1-2 hours); Command chain review and approval (30 minutes to 1 hour). Total time: 5-10 hours. With Claude and Maven: 5-10 minutes.
Maven's Scaling and Operational Performance
The transformation of Maven from an experimental AI system to the operational backbone of American military targeting occurred in measurable stages.
Before LLM integration: Maven's computer vision layer could identify and classify targets from full-motion video at a rate of less than 100 targets per day, with each requiring significant manual analyst review and corroboration across sensors.
After Claude integration: Maven's target-per-day processing rate increased to 5,000 targets per day, with the system generating 1,000 targeting recommendations within the first 24 hours of Operation Epic Fury—enabling the strike of over 1,000 targets in the initial 24-hour window that no previous military system in history had accomplished.
The system's architectural improvements also enabled unprecedented scale in user base and distributed decision-making. Maven now has more than 20,000 active users, a figure that has quadrupled since March 2024. This represents a fundamental shift in military command and control: rather than a small cadre of central planners developing targeting lists that flow downward, Maven creates a networked system where operators at battalion, brigade, division, combatant command, and strategic levels can all view the same fused intelligence picture and make localized decisions simultaneously.
Deputy Secretary of Defense Steve Feinberg stated in a March 9, 2026 memo that Project Maven will become an official program of record by September 2026. Future contracting with Palantir would be handled by the U.S. Army, signaling Maven's elevation from an experimental intelligence tool to permanent military infrastructure with dedicated funding and command authority.
The 18th Airborne Corps reportedly achieved comparable targeting output to the 2,000-person intelligence and targeting cell used during Operation Iraqi Freedom with roughly 20 people—a 100-fold reduction in personnel required for equivalent throughput.
Operation Epic Fury: AI at Scale
Operation Epic Fury commenced on February 28, 2026, when Israel and the United States launched attacks on targets across Iran, following Prime Minister Benjamin Netanyahu's lobbying of President Donald Trump for a joint military strike on Iran, specifically targeting its leadership.
The scale was unprecedented. Operation Launched at 1:15 am on February 28, 2026, with over 5,000 targets struck in the first 10 days, and 50 Iranian vessels damaged or destroyed. U.S. Central Command (CENTCOM) has struck over 10,000 targets across Iran thus far in the war, destroying at least two-thirds of Iran's military production sites.
The human cost was substantial. U.S. and Israeli strikes reportedly destroyed numerous civilian sites—including schools, hospitals, gymnasiums, public gathering spaces, and a UNESCO heritage site, with reports indicating that a Tomahawk cruise missile struck a girls' elementary school adjacent to an Iranian naval base, killing at least 175 civilians, many of them children. The U.S. preliminary investigation found that the United States is responsible for this strike due to outdated targeting data.
Thirteen U.S. service members died during Operation Epic Fury, with six killed by an Iranian drone attack on March 1 at Port Shuaiba in Kuwait.
The Pentagon's Ultimatum to Anthropic
The crisis emerged from a fundamental disagreement over AI guardrails. In February 2026, CEO Dario Amodei informed the Pentagon that Anthropic would not permit Claude to be used for two specific purposes: fully autonomous weapons systems without human authorization, and mass domestic surveillance of American citizens.
Pentagon officials designated Anthropic a supply chain risk, citing national security concerns, following CEO Dario Amodei's announcement that he would not allow the company's Claude's AI model to be used for autonomous weapons or to surveil on American citizens.
The Pentagon's position was unambiguous. The Pentagon wants to use Anthropic's AI for "all lawful purposes," saying they could not allow a private company to dictate how they can use their tools in a national security emergency.
The Legal Rebellion
On March 9, 2026, Anthropic filed twin lawsuits challenging the designation. Anthropic filed two federal lawsuits against the Trump administration alleging that Pentagon officials illegally retaliated against the company for its position on artificial intelligence safety.
The lawsuits, filed in the U.S. District Court for the Northern District of California and the federal appeals court in Washington, D.C., allege the Trump administration violated the company's First Amendment rights and exceeded the scope of supply chain risk law by using the label against Anthropic.
The designation was extraordinary. Anthropic is the only American company ever to be publicly named a supply chain risk, and the designation, which is now official, will require defense vendors and contractors to certify that they don't use the company's models in their work with the Pentagon.
Support came from unexpected quarters. Dozens of scientists and researchers at OpenAI and Google DeepMind filed an amicus brief in their personal capacities supporting Anthropic, arguing that the supply chain risk designation could harm US competitiveness in the industry and hamper public discussions about the risks and benefits of AI.
However, the courts were split. A federal appeals court in Washington, D.C., on Wednesday denied Anthropic's request to temporarily block the Department of Defense's blacklisting of the artificial intelligence company as a lawsuit challenging that sanction plays out. Yet a judge in San Francisco federal court granted Anthropic a preliminary injunction that bars the Trump administration from enforcing a ban on the use of its Claude model.
The Operational Paradox
The irony is stark: the Pentagon continues to rely on Claude in active conflict even as it dismantles Anthropic's government relationships. The US military is extensively using Palantir's Maven Smart System in the conflict, which has had Anthropic's Claude chatbot integrated since 2024, despite the ban.
Pentagon Chief Information Officer Kirsten A. Davies confirmed to Sen. Jack Reed (D-R.I.), the ranking member of the Senate Armed Services Committee, that the Pentagon is using the AI model as part of Operation Epic Fury. "The use of the system is active right now. This is also why we provided for a measure of time we felt was reasonable, as well as an exception process for removal of the Anthropic systems," Davies said.
According to WaPo's sources, the system spits out precise location coordinates for missile strikes and prioritizes them by importance.
The Pentagon's Next Move
The Pentagon faces a six-month deadline to replace Claude. Given the government's extensive use of the company's chatbot Claude during its deadly offensive in Iran, it's clearly having trouble making do without it. According to sources, the system won't be phased out until the DoD has found a replacement.
It remains to be seen whether OpenAI will swoop in to fill Anthropic's place. After Amodei's falling out with the Pentagon, CEO Sam Altman saw an opportunity to strike last week and signed a contract with the Department of Defense.
The financial stakes are enormous. Anthropic CFO Krishna Rao provided additional context, suggesting the financial impact could be substantial. "Across Anthropic's entire business, and adjusting for how likely any given customer is to take a maximal reading, the government's actions could reduce Anthropic's 2026 revenue by multiple billions of dollars".
Maven's Evolution Continues
Regardless of the Anthropic dispute, Maven itself is being institutionalized at the highest levels. In a letter to Pentagon on March 9, 2026, Steve Feinberg stated that Project Maven will become an official program of record by September 2026, the close of the current fiscal year. The project would transfer from the NGA to the CDAO within 30 days. Future contracting with Palantir would be handled by the US Army.
Maven can generate 1,000 targeting recommendations per hour, with the 18th Airborne Corps reportedly achieving comparable targeting output to the 2,000-person cell used during Operation Iraqi Freedom with roughly 20 people.
Maven now has more than 20,000 active users, a figure that has quadrupled since March 2024.
The Broader Questions
AI gives rise to important concerns about automation bias, or the tendency for people to give excessive weight to automated decisions, in military targeting. Many Iraqi and Afghan civilians died due to analytical mistakes and cultural biases within the U.S. military.
CSIS research has quantified AI-assisted targeting error propagation at 25% under variable conditions. The implications are sobering: Evidence suggests that a Tomahawk cruise missile struck a girls school adjacent to an Iranian naval base, killing about 175 people, mostly students. This targeting could have resulted from a U.S. intelligence failure.
Congressional oversight is now focused on guardrails. Senator Elissa Slotkin introduced the AI Guardrails Act this month, which would prohibit the DoD from using autonomous weapons to kill without human authorization and bar AI use for domestic mass surveillance.
Looking Ahead
The Pentagon faces a fundamental tension: the desire to deploy the fastest, most capable AI systems at scale, versus the technology industry's insistence on safety constraints. The core question isn't really about lawsuits or contract dollars. It's about who decides the boundaries of national defense — elected officials accountable to voters, or tech executives accountable to their boards.
As of March 2026, it was announced that the US Army Combined Arms Command would integrate Maven into its training, and on March 25, 2025, the NATO Communications and Information Agency and Palantir finalized the acquisition of the Palantir Maven Smart System NATO for employment within NATO's Allied Command Operations.
The outcome of Anthropic's lawsuits—and the Pentagon's ability to transition Maven to alternative LLMs—will define the next generation of AI-enabled warfare. What is certain is that the technology's operational utility has been conclusively demonstrated, and the military will not willingly relinquish it.
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Author's Note: This article synthesizes reporting from military affairs specialists, defense policy analysts, and national security correspondents at leading U.S. news organizations covering Operation Epic Fury from February 2026 through April 2026. Additional technical sourcing includes published government fact sheets, academic analyses, defense technology journals, and documentation from sensors system manufacturers. All direct attributions are sourced from published reporting. The story reflects the divergent narratives from both Anthropic and Pentagon spokespersons as documented in contemporaneous media coverage and official filings.
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