What is Palantir? What exactly does Palantir do?

Most people have never heard of Palantir. But the U.S. Army, the CIA, the FBI, the NHS in the UK, and hundreds of major corporations depend on it every single day. It quietly sits at the center of some of the most consequential decisions on the planet — battlefield targeting, counterterrorism, pandemic response, financial fraud detection, and supply chain management.

Palantir is not a flashy consumer app. You will never download it on your phone. But the software it builds touches your life in ways most people do not realize. It helped track the spread of COVID-19. It helped locate Osama bin Laden. It powers the AI systems that manage what goes into a hospital’s supply room and what gets flagged as a suspicious bank transaction.

So what exactly is Palantir? How does it work? Who uses it? And why is it one of the most controversial — and most powerful — technology companies on earth? Let me walk you through all of it.

Key Takeaways

Palantir was founded in 2003 by Peter Thiel, Alex Karp, and three others, initially funded by the CIA’s venture arm
The company builds software that integrates and analyzes massive, messy datasets so organizations can make faster, smarter decisions
It operates four main platforms — Gotham, Foundry, Apollo, and AIP — each targeting a different type of customer need
Revenue hit $4.48 billion in 2025, with U.S. commercial revenue growing over 100% year-over-year
The company serves both government agencies and private enterprises across more than 50 sectors worldwide
Its newest platform, AIP (Artificial Intelligence Platform), launched in 2023 and is now the fastest-growing part of the business
Palantir is deeply controversial — praised as essential national security infrastructure, criticized for enabling surveillance

Where It All Started — The Origin Story

The name “Palantir” comes directly from J.R.R. Tolkien’s Lord of the Rings. In the books, palantíri are magical seeing-stones — ancient orbs that let the holder see events happening far away in real time. Peter Thiel, a devoted reader of Tolkien, thought the name was perfect. The company, just like those stones, would give its users the ability to see through enormous volumes of information and find the truth hidden inside.

Palantir was founded on May 6, 2003 — just under two years after the September 11 attacks. That timing was not a coincidence. The 9/11 Commission later revealed that U.S. intelligence agencies actually had scattered pieces of information that, if connected correctly, could have pointed to the plot. The data existed. The problem was that nobody had the tools to make sense of it all. Peter Thiel, co-founder of PayPal, saw that gap and decided to build something to fill it.

He brought in Alex Karp as CEO — a former Stanford Law classmate with a PhD in social theory from Goethe University in Frankfurt, Germany. An unusual choice to lead a tech company. But Karp’s philosophical background, combined with his social magnetism and ability to sell a vision, made him precisely the right person. The other co-founders were PayPal engineer Nathan Gettings and Stanford students Joe Lonsdale and Stephen Cohen. All five are considered co-founders of the company.

The CIA’s venture arm, In-Q-Tel, was among the earliest backers. That relationship shaped Palantir’s DNA from day one. This was never going to be a typical Silicon Valley startup building consumer apps. It was building the intelligence infrastructure for an increasingly data-driven world.

What Palantir Actually Does — The Simple Version

Here is the core problem Palantir solves: large organizations — governments, militaries, hospitals, banks, manufacturers — are drowning in data. But that data lives in dozens of different systems that do not talk to each other. A military unit might have satellite imagery in one system, human intelligence reports in another, drone telemetry in a third, and supply chain data in a fourth. None of those systems share a common language.

Traditional software tools either ignore the complexity or demand you rebuild your entire infrastructure from scratch. Palantir does neither. It connects to all your existing systems, pulls the data together, cleans it, structures it, and builds a unified operational picture. Then it gives analysts, operators, and decision-makers the tools to ask questions of that data and get answers they can actually act on.

Think of it as the translation layer between raw, chaotic, siloed data and real-world decisions. The data is already there. Palantir makes it usable.

The Four Platforms — What Each One Does

Gotham — Built for Government and Intelligence

Gotham is Palantir’s original platform and the one that made the company famous. It was designed specifically for intelligence agencies, defense departments, and law enforcement. Its purpose is to help analysts find patterns across massive, classified, often contradictory datasets — and turn those patterns into actionable intelligence.

In practice, Gotham lets an analyst connect a phone number to a network of individuals, link financial transactions to known bad actors, overlay geospatial data with intelligence reports, and see relationships that would take a human team months to identify manually. It works in real time. The U.S. Army, CIA, FBI, and NATO all became significant users. Law enforcement agencies used it to track drug cartels and human trafficking networks. Pandemic response teams used it during COVID-19 to map infection spread in real time.

Palantir reportedly played a role in helping locate Osama bin Laden, though the company has never officially confirmed the specifics. What is confirmed is that Gotham’s counterterrorism applications made it essential to post-9/11 national security infrastructure.

Foundry — Built for Enterprises

Foundry is Palantir’s commercial platform, launched to bring the same analytical power to private sector companies. Where Gotham deals with classified intelligence data, Foundry connects enterprise systems — ERP platforms, manufacturing sensors, supply chain databases, customer records, logistics systems.

A car manufacturer might use Foundry to connect production line data with quality control results and supplier inventory levels, creating a single operational view that engineers and procurement teams share. An airline might use it to optimize maintenance schedules by combining flight log data with parts inventory and regulatory compliance requirements. A hospital might use it to track patient flow, manage supply inventory, and forecast ICU demand during a surge.

The fundamental value proposition is the same across all of them: your data is scattered across dozens of systems, none of which communicate. Foundry pulls it together into one coherent picture and gives your people the tools to act on it.

Apollo — The Infrastructure Layer Nobody Talks About

Apollo is the least discussed of Palantir’s platforms but arguably the most technically impressive. It is the deployment and operations infrastructure that sits underneath both Gotham and Foundry. Its job is to push software updates and manage systems across cloud environments, on-premises data centers, and classified air-gapped government networks — all simultaneously.

Consider the challenge: Palantir’s software needs to run on a commercial cloud in one deployment, on a secure government server in another, and potentially on a naval vessel at sea in a third. Apollo handles all of that, enabling continuous delivery of updates across radically different environments without downtime. For organizations operating in high-security or highly distributed environments, this capability is non-negotiable.

AIP — The AI Platform Changing Everything

AIP, or the Artificial Intelligence Platform, launched in April 2023 and has since become Palantir’s fastest-growing product. It integrates large language models — the same type of technology behind ChatGPT — directly with an organization’s actual operational data and workflows.

The key distinction is this: most AI tools operate on general knowledge. You ask them a question and they generate an answer based on what they were trained on. AIP connects AI to your specific data — your inventory, your logistics, your financial records, your operational workflows — and then lets you interact with that data through natural language. A supply chain manager can ask, “What is our current exposure if the Taiwan factory goes offline for two weeks?” and get an answer drawn from actual live data, not a generic response.

AIP does not just answer questions. It also enables what Palantir calls “human + AI teaming” — building automated workflows where AI handles routine decisions and flags complex situations for human review. This is the direction enterprise AI is heading, and Palantir built the infrastructure for it years before most companies realized it was possible.

The Numbers — How Big Is Palantir?

The scale of Palantir’s growth in recent years is difficult to overstate. Here are the facts:

Revenue reached $4.48 billion in full-year 2025, up from $2.87 billion in 2024 — a growth rate of over 56%
U.S. commercial revenue grew 121% year-over-year in Q3 2025, reaching $397 million in that single quarter alone
The company secured a $10 billion, 10-year U.S. Army Enterprise Service Agreement in 2025, consolidating 75 previously separate contracts into one
A separate Department of Defense contract finalized in May 2025 was valued at $1.3 billion
A U.S. Army Maven Smart System contract announced in May 2025 was worth $795 million
Total Contract Value for Q3 2025 hit a record $2.76 billion — up 151% year-over-year
The company employs approximately 4,429 people as of 2025, an intentionally lean workforce relative to the revenue it generates

The commercial side of the business is accelerating the fastest, driven almost entirely by AIP adoption. Palantir’s go-to-market strategy shifted radically in 2024 and 2025 through the introduction of “AIP Bootcamps” — intensive five-day workshops where potential clients build actual working AI applications using their own data. Instead of a 12-month sales cycle followed by an 18-month implementation, clients see results in less than a week. That approach is converting prospects at a speed the traditional enterprise software industry has never seen before.

Who Uses Palantir?

Palantir’s customer base spans more than 50 sectors. On the government side, its clients include:

The U.S. Department of Defense
The U.S. Army, Navy, and Air Force
The CIA, FBI, and NSA
NATO and allied defense ministries
The U.S. Department of Homeland Security and ICE
The National Institutes of Health and the CDC
International intelligence and law enforcement agencies

On the commercial side, clients span banking, automotive, aerospace, healthcare, food production, insurance, energy, and logistics. Major financial institutions use Foundry to detect fraud and money laundering. Automotive manufacturers use it to optimize production. Airlines use it to manage maintenance and operations. During the COVID-19 pandemic, multiple national health systems used Palantir’s software to manage vaccine distribution logistics and hospital capacity.

One critical point: Palantir does not sell data and it does not share data between customers. Each deployment is contractually, operationally, and technologically walled off from every other. The company also does not train its AI models on customer data. This matters enormously for organizations that handle sensitive information — which describes most of its customers.

How Palantir Makes Money — The Business Model

Palantir’s business model is unusual. It is not purely a SaaS company that sells software licenses and walks away. It is also not a traditional consulting firm. It is a hybrid of both, and that hybrid is a key reason its customer relationships are so durable.

When Palantir signs a new client, it sends in teams of forward-deployed engineers — actual Palantir employees who work alongside the client’s people, embedding themselves in the organization, customizing the platform, training users, and ensuring adoption. This hands-on approach is expensive in the short term but creates something that most SaaS vendors dream about: near-zero churn. Once an organization builds its core workflows on Palantir, switching becomes operationally unthinkable.

The revenue split as of 2024 was roughly 55% government and 45% commercial. The commercial segment is growing faster. If the current trajectory continues, the split will likely equalize and then tip commercial within the next two to three years.

The Controversy — Why People Fear Palantir

Palantir is not without its critics. The very capabilities that make it invaluable to defense agencies also make civil liberties advocates deeply uncomfortable.

Its contract with U.S. Immigration and Customs Enforcement (ICE) sparked employee protests within the company when it became public. The software tracks the movement of migrants and supports deportation workflows. Palantir defends the contract on the grounds that it helps enforce the law and that it is not responsible for policy decisions made by government agencies. Critics argue that providing that infrastructure makes the company complicit in the consequences.

Its deep involvement in military targeting — CEO Alex Karp famously said that “the death and pain that is brought to our enemies is mostly brought by Palantir” — raises questions about the ethics of private technology companies building weapons-adjacent systems.

The surveillance capability of Gotham is real and powerful. Law enforcement agencies have used Palantir software to build predictive policing tools, some of which have been criticized for reinforcing racial bias. The company has pushed back on characterizations of “predictive policing” but acknowledges the software is used in law enforcement contexts.

These tensions are not going away. As Palantir grows larger and more embedded in critical government and corporate infrastructure, the debate over where the line sits between security and surveillance will only intensify.

Palantir and the Future of AI

The AIP platform positions Palantir in a genuinely unique spot in the enterprise AI market. Most AI companies are building the models — the underlying intelligence engines. Palantir is building the operational layer that connects those models to real-world data and workflows. It is the difference between giving someone a powerful brain and giving that brain hands and eyes with which to actually do things.

The AIP Bootcamp model is accelerating customer acquisition in ways that traditional enterprise software sales cannot match. Clients are not being asked to imagine what the software might do. They are watching it work with their own data in less than a week. That demonstration-first approach is changing conversion rates dramatically.

U.S. commercial AIP revenue growth of over 100% year-over-year is not a blip. It reflects something structural — large organizations have enormous volumes of operational data they have never been able to use for real-time decision-making, and AIP is the first tool that makes that genuinely possible without rebuilding their entire infrastructure.

If you believe that AI will reshape how large organizations operate — and most serious observers do — then Palantir has quietly built the plumbing that a significant portion of that future runs on.

Conclusion

Palantir is one of the most misunderstood companies in the world. People either have never heard of it or they think of it purely as a surveillance company. The reality is more nuanced and more significant than either of those pictures.

It started as a post-9/11 intelligence tool built by PayPal co-founder Peter Thiel and a philosopher-CEO named Alex Karp. It grew into the data infrastructure backbone for U.S. national security. And now, through Foundry and AIP, it is rapidly becoming one of the most important AI platforms for enterprises across every major industry.

The controversies are real. The power of the technology is real. The growth is real — $4.48 billion in 2025 revenue, triple-digit commercial growth, and multi-billion-dollar government contracts that lock in long-term relationships with the most powerful institutions on earth.

Love it or question it, Palantir has built something that is very difficult to replace. That stickiness is deliberate. And in an AI-driven decade where data integration and operational intelligence will determine which organizations thrive, the company that spent 20 years becoming essential infrastructure is in a position few competitors can challenge.

Frequently Asked Questions About Palantir

What does Palantir Technologies do in simple terms? Palantir builds software that takes massive amounts of messy, scattered data from different sources and turns it into a unified, searchable picture that organizations can use to make decisions. Think of it as a translator between raw data chaos and real-world action. Its customers include government agencies, defense departments, and large corporations who all face the same core problem: too much data, not enough ability to make sense of it.

Is Palantir a government contractor or a tech company? It is both. Palantir started with government contracts — the CIA, FBI, U.S. Army, and NATO among its earliest clients — and government work still accounts for roughly half of its revenue. But the company has a rapidly growing commercial business serving private sector clients across more than 50 sectors including banking, healthcare, manufacturing, and energy. It is publicly listed on the Nasdaq stock exchange under the ticker PLTR.

How does Palantir make money? Palantir charges large organizations for access to its software platforms — primarily Gotham for government clients and Foundry and AIP for commercial ones. Revenue comes from long-term contracts, software licensing fees, and the services provided by its forward-deployed engineer teams who embed with clients to implement and customize the platforms. Government contracts tend to be multi-year, high-value, and very sticky once established.

Is Palantir’s software available to regular companies or only governments? Any organization of sufficient scale can use Palantir, particularly through the Foundry and AIP platforms. Commercial clients across manufacturing, healthcare, finance, and logistics already use Palantir software to manage operations, detect fraud, optimize supply chains, and run AI-powered workflows. The AIP Bootcamp program, introduced in 2024, is specifically designed to onboard new commercial clients quickly by letting them build working prototypes with their own data in five days.

Why is Palantir controversial? Palantir’s controversy stems from the nature of its core product. Software that can integrate and analyze vast amounts of data — including personal data, location data, communications metadata, and financial records — raises legitimate concerns about privacy, surveillance, and civil liberties. Its contracts with agencies like ICE for immigration enforcement and its role in military targeting operations have drawn criticism. The company argues it works within legal frameworks and that its software enables data governance rather than undermining it. Critics argue the capability itself, regardless of the legal guardrails, enables forms of surveillance and enforcement that deserve public scrutiny.