Palantir builds software that takes an organization’s scattered data and turns it into one connected picture, so people can spot patterns, run AI tools on that data safely, and make faster decisions. Governments use it to plan military operations and track intelligence. Companies use it to manage supply chains, cut costs, and deploy AI without exposing private data.
This guide breaks down exactly what Palantir sells, who buys it, and how the company actually makes money.
Table of Contents
- What Is Palantir, in Plain Terms
- Palantir’s Four Core Platforms
- Who Actually Uses Palantir
- How Palantir Makes Money
- Real World Examples of Palantir at Work
- Why Palantir Draws Criticism
- Palantir vs. Other Data and AI Companies
- Common Misconceptions About Palantir
- FAQ
- Conclusion
Quick Answer: What Does Palantir Do?
Palantir builds software that helps governments and businesses organize large amounts of data, find important patterns, and make better decisions. Its platforms connect information from different sources into one system where humans and AI tools can analyze situations and take action.
Governments mainly use Palantir for defense, intelligence, and emergency planning, while companies use it for supply chains, operations, and AI-powered decision-making.
What Is Palantir, in Plain Terms
Palantir Technologies is a software company that helps large organizations connect data that normally lives in separate, disconnected systems. Think of a hospital network with patient records in one system, supply data in another, and staffing schedules in a third. Palantir’s software links all of it into a single working model, called an Ontology, that people and AI tools can actually query and act on.
The company started in 2003 with a narrow focus: helping U.S. intelligence agencies find connections in massive volumes of data after the September 11 attacks. It has since grown into a publicly traded company that serves both governments and private businesses, and it now positions itself as an “operating system” that runs AI tools securely on top of an organization’s own data.
Alex Karp co founded the company and remains its CEO. Palantir trades on the Nasdaq under the ticker PLTR and has become one of the more closely watched enterprise software companies as AI adoption accelerates across industries.
Who Founded and Owns Palantir?
Palantir was founded in 2003 by Peter Thiel, Alex Karp, Joe Lonsdale, Stephen Cohen, and Nathan Gettings. Alex Karp serves as the company’s CEO.
The company became publicly traded in 2020 and trades on the Nasdaq under the symbol PLTR. Today, ownership is spread among institutional investors, company insiders, and public shareholders.
How Does Palantir Work?
Palantir works by connecting information from different systems and creating a shared picture of what is happening inside an organization.
A typical process looks like this:
Data connection
Palantir connects existing information sources such as databases, sensors, documents, and business systems.
Data organization
The platform creates relationships between different pieces of information through its Ontology system.
Analysis
Teams use dashboards, AI tools, and workflows to identify problems and opportunities.
Action
Users can make decisions and trigger operational changes directly from the platform.
What Problems Does Palantir Solve?
Organizations often have large amounts of valuable information spread across different systems. A company may have supply chain data, customer records, financial reports, and operational information stored separately.
Palantir helps solve this problem by connecting these sources into one environment where teams can understand situations, identify problems, and take action faster.
Common problems Palantir helps solve include:
- Data stored in disconnected systems
- Slow decision-making
- Complex supply chain issues
- Difficulty applying AI to private information
- Lack of coordination between teams
Palantir’s Four Core Platforms
Palantir does not sell one single app. It sells four interconnected platforms, and understanding what each one does is the fastest way to understand the whole business.
| Platform | Used By | Main Purpose |
| Gotham | Governments and defense organizations | Intelligence analysis and operational planning |
| Foundry | Businesses | Data integration and workflows |
| AIP | Businesses and governments | Secure AI deployment |
| Apollo | Technical teams | Software delivery across environments |
Gotham: Built for Defense and Intelligence
Gotham was Palantir’s first product, and it remains the backbone of its government business. It pulls together intelligence sources such as sensor feeds, satellite imagery, communications data, and field reports into one shared operational view. Military planners and intelligence analysts use it to track threats, plan missions, and coordinate across different units in near real time.
Gotham serves as Palantir’s defense, intelligence, and law enforcement operating system, designed for joining and enriching large volumes of near real time data and presenting it in a single view so operators can make faster decisions together. The U.S. Army and other defense agencies rely on it for command post operations, and Palantir’s Maven Smart System, which sits within this ecosystem, has been used to help identify targets in active conflicts.
Foundry: Built for Commercial Enterprises
Foundry is Gotham’s civilian counterpart. Instead of battlefield intelligence, it organizes business data: manufacturing schedules, financial records, supply chains, and customer information. Foundry works as Palantir’s foundational data operations platform, providing the core capabilities for data management, logic authoring, Ontology development, analytics, and workflow development.
A car manufacturer, for example, might use Foundry to connect factory floor sensor data with parts inventory records, so a supply shortage on one line automatically triggers a reordering workflow instead of sitting unnoticed for days.
AIP: The AI Layer on Top
AIP, short for Artificial Intelligence Platform, is Palantir’s answer to the generative AI boom. It does not train its own foundation models. Instead, AIP connects with an organization’s existing Foundry data, allowing teams to build and interact with LLM powered agents and workflows that draw on data from a wide range of sources and formats, while applying Palantir’s security measures to protect sensitive information.
In practice, this means a company can point AIP at ChatGPT style large language models, or at open source alternatives, without sending its private data outside its own secure environment. That data privacy angle is central to why enterprises in regulated industries, such as banking and healthcare, have adopted it.
Apollo: The Delivery Engine
It runs quietly behind the other three platforms. It works as the continuous delivery platform that manages the infrastructure hosting both Foundry and AIP services, coordinating thousands of zero downtime software upgrades across hundreds of services every day.
Apollo matters most in environments where a normal software update is hard to pull off, such as a Navy submarine that only connects to a network occasionally, or a classified government network with no direct internet access. It lets Palantir push fixes and new features to those systems the moment a connection becomes available.
What Is Palantir Ontology?
Palantir’s Ontology is the framework that connects raw data to real-world objects and decisions.
Instead of seeing information as disconnected tables, Ontology creates relationships between things an organization understands:
- A factory → machines → production orders → suppliers
- A military unit → locations → equipment → missions
- A hospital → patients → treatments → resources
This makes complex data easier for people and AI systems to understand and use.
Who Actually Uses Palantir
Palantir splits its customer base into two broad groups, and each one buys the product for a different reason.
Government customers include the U.S. Department of Defense, intelligence agencies, and allied militaries. Its client list has grown to include more than 950 organizations, among them the U.S. Department of Defense and the U.K. National Health Service. Government work remains Palantir’s oldest and most established revenue source, built on multi year contracts.
Commercial customers span industries such as manufacturing, aerospace, energy, banking, and logistics. Palantir announced deals with Airbus, Bain, GE Aerospace, and Stellantis during the first quarter of 2026, and it counted more than 1,000 commercial customers over the trailing twelve months, a number that grew roughly 31% year over year. This commercial side has become the fastest growing part of the business, driven largely by demand for AIP.
How Palantir Makes Money
Palantir earns revenue mainly through software licensing and subscription contracts, not through one time hardware or consulting sales. Customers pay to access the platforms, and Palantir often runs short, hands-on “boot camps” that help a new client see measurable results within weeks rather than months.
Palantir generates revenue mainly through long-term software contracts with governments and businesses. Customers pay subscription fees to use its platforms, often with additional support and implementation services.
For full year 2026, management guided to revenue between roughly $7.18 billion and $7.2 billion, representing about 61% growth, with U.S. commercial growth guidance above 115%. Those figures explain why Palantir gets described as one of the fastest growing large software companies operating today, even though its stock has seen sharp swings in 2026 alongside broader volatility in AI related shares.
How Different Industries Use Palantir
| Industry | How Palantir Helps |
| Defense | Mission planning and intelligence analysis |
| Healthcare | Resource planning and patient operations |
| Manufacturing | Supply chain and production optimization |
| Energy | Asset monitoring and operational planning |
| Finance | Risk analysis and compliance |
| Retail | Demand forecasting and inventory management |
Palantir’s History: From Intelligence Software to Enterprise AI
| Year | Event |
| 2003 | Palantir founded |
| 2008 | Expanded government intelligence work |
| 2010s | Entered commercial markets |
| 2020 | Became publicly traded |
| 2023 | Expanded AI Platform (AIP) focus |
Real World Examples of Palantir at Work
Numbers only tell part of the story. Here is what Palantir’s software looks like when it is actually running.
- Military logistics: An Army command post uses Gotham to combine drone footage, supply reports, and troop positions into a single dashboard, cutting the time it takes to plan a resupply mission.
- Vaccine distribution: During the COVID 19 pandemic, Apollo made it possible to continuously update the Tiberius vaccine tracking system across multiple government networks, even as requirements changed on a weekly basis.
- Manufacturing: An aerospace supplier feeds parts data into Foundry, so engineers can trace a defective component back to a specific production batch in minutes instead of days.
- Banking: A financial institution deploys AIP to let compliance teams ask plain language questions about transaction patterns, without exposing customer records to an outside AI vendor.
Why Is Palantir Controversial?
Government and Defense Contracts
Privacy and Surveillance Concerns
Palantir’s Response to Critics
No article about Palantir is complete without addressing the controversy that follows it. The company’s deep ties to defense and law enforcement have made it a frequent target of civil liberties concerns.
Critics argue that Palantir’s software enables mass surveillance and predictive policing, even though the company disputes that framing. Palantir has publicly denied involvement in surveillance technology or predictive policing, stating it does not sell, market, or offer predictive policing tools to its law enforcement customers. Human rights advocates counter that the distinction between building the analytical tools and controlling how a government client uses them is, in practice, a difficult line to draw, and international bodies have raised concerns about how some of Palantir’s government clients apply the technology.
This tension is unlikely to disappear. Palantir has built its business around handling the most sensitive data governments hold, and that mission will keep generating scrutiny alongside growth.
Palantir vs. Other Data and AI Companies
People often confuse Palantir with two very different types of companies: cloud AI providers and standard business intelligence tools. Here is how it actually compares.
| Company Type | Example | Main Difference From Palantir |
| Foundation model labs | Anthropic, OpenAI | Build and train the underlying AI models; Palantir connects those models to a customer’s private data instead of building its own general purpose model |
| Cloud data warehouses | Snowflake, Databricks | Focus mainly on storing and querying data; Palantir focuses more on turning that data into an operational decision layer, with government grade security built in |
| Traditional BI tools | Tableau, Power BI | Mostly built for dashboards and reporting; Palantir is built to actively run workflows and trigger real world actions, not just display charts |
Palantir’s own executives frame this distinction directly, arguing that its AIP product does not sell raw AI access the way a token based API does. Instead, it sells outcomes wrapped in Ontology, delivered through short deployment programs designed to prove return on investment within weeks.
Is Palantir an AI Company?
Palantir is considered an AI software company, but it is different from companies that build large AI models. Instead of creating foundation models like ChatGPT, Palantir focuses on helping organizations apply AI to their own private data securely.
Its AIP platform connects existing AI models with business and government workflows.
Common Misconceptions About Palantir
A few myths about Palantir circulate often enough that they deserve a direct answer.
Myth: Palantir builds its own AI models. It does not train large language models from scratch. AIP connects to existing models, including open source and commercial options, and layers Palantir’s data security tools on top.
Myth: Palantir only works with the military. Government contracts remain important, but commercial customers now make up a large and fast growing share of revenue, spanning aerospace, banking, energy, and manufacturing.
Myth: Palantir sells raw data. Palantir does not collect, own, or sell customer data. It builds the software that helps its customers organize and act on data they already hold.
FAQs
Is Palantir a cybersecurity company?
No. Palantir focuses on data integration, analytics, and AI deployment rather than network defense or threat detection, though its platforms include strong data security and access controls as a core feature.
Does Palantir build its own AI chatbot?
Palantir does not sell a standalone public chatbot like ChatGPT. AIP is designed for enterprises and connects to various large language models on top of a customer’s private data.
What industries use Palantir the most?
Government and defense remain foundational, while aerospace, manufacturing, energy, healthcare, and financial services represent the fastest growing commercial segments.
How is Palantir different from a normal software vendor?
Most software vendors sell a fixed tool for a specific task. Palantir sells a flexible data platform that customers configure around their own operations, often supported by Palantir engineers during setup.
Is Palantir profitable?
Yes, as of early 2026, Palantir reports strong profitability, with net income growing significantly faster than revenue in recent quarters.
What does Palantir sell?
Palantir sells enterprise software platforms that help organizations connect data, analyze information, and make operational decisions.
Does Palantir collect people’s data?
No. Palantir generally provides software tools that help customers analyze their own data. It does not operate as a consumer data collection company.
Why do governments use Palantir?
Governments use Palantir because its platforms help combine intelligence, logistics, and operational information into a single system.
Is Palantir like Google?
No. Google primarily builds consumer internet products and search technology, while Palantir focuses on enterprise and government data operations.
How much does Palantir software cost?
Palantir does not publish standard public pricing because its software is customized for each organization’s needs. Costs depend on factors such as the number of users, complexity of deployment, and level of support required.
Why is Palantir controversial?
Its work with defense, intelligence, and law enforcement agencies has drawn criticism from civil liberties groups concerned about surveillance and predictive policing, a characterization the company disputes.
Can small businesses use Palantir?
Palantir has historically focused on large enterprises and governments due to the complexity and cost of its platforms, though its commercial customer base has broadened considerably in recent years.
Conclusion
Palantir does one central thing extremely well: it takes an organization’s messy, scattered data and turns it into a connected system that people and AI tools can actually use to make decisions. Gotham handles defense and intelligence work, Foundry handles commercial data operations, AIP layers AI securely on top of both, and Apollo keeps everything running and updated wherever it’s deployed.
If the customer is a military command post or a car manufacturer, the underlying value stays the same: better decisions, made faster, from data that used to sit in disconnected silos.
