2008 – 2026 · PLTR · CIK 1321655
Palantir Products — Gotham, Foundry, Apollo, and AIP
Palantir sells four principal software platforms. Gotham is the defense and intelligence platform; Foundry is the commercial data-operations platform built around the Ontology; Apollo is the continuous-delivery platform that deploys all of them; AIP is the generative-AI layer that runs on top. Each is a separate product with its own customers, contracts, and origin story. Sourced from palantir.com/platforms/, the FY2025 10-K, and Palantir's earnings transcripts on investors.palantir.com.
Sibling pages: Palantir Financials · Palantir Leadership · Palantir Federal Contracts · Roster row: Palantir on /orgs/.
How the four platforms relate
Foundry and Gotham are the two data-operations platforms; both are built around the Ontology, Palantir's name for the semantic-and-kinetic model that maps an organization's data, logic, and actions. AIP runs on top of the Ontology as the LLM-augmented application and agent layer. Apollo wraps the whole stack and continuously delivers it to whatever environment the customer needs — multi-cloud, hybrid, private SaaS, classified, or edge.
Diagram caption: data flows from the customer's existing systems into the Foundry Ontology, which is the shared semantic core that both Foundry (commercial) and Gotham (defense / intelligence) use to model an organization's data, logic, and actions. AIP sits above the Ontology as the LLM-augmented application and agent layer. Apollo wraps the full stack and continuously delivers it — along with the customer's own software — to whatever environments the customer runs (multi-cloud, on-prem, classified, edge / airgapped).
Product 1 · Launched 2008 · Defense / intelligence
Palantir Gotham
What it is
Gotham is Palantir's defense, intelligence, and law-enforcement operating system — an AI-ready platform for joining and enriching massive volumes of near-real-time data and presenting it in a single view that lets operators across roles and domains make faster decisions together. Per the company's own framing on palantir.com/platforms/gotham/: “Palantir Gotham is a commercially-available, AI-ready operating system that improves and accelerates decisions for operators across roles and all domains.” The product was originally built in the late 2000s for the US intelligence community and shipped externally around 2008; the FY2025 10-K describes it as having “surfaced insights for global defense agencies, the intelligence community, disaster relief organizations, and beyond” for over a decade.
Who uses it
Overwhelmingly government and defense customers, both US and allied. The 10-K notes Gotham “integrates with our other platforms, as well as our broader defense offerings, to power a wide array of missions across allied defense and intelligence operations.” Customers include US intelligence agencies, the US Army (notably through the Distributed Common Ground System — Army), special operations commands, allied defense ministries, and law-enforcement agencies. Gotham is the platform that gets the privacy / civil-liberties scrutiny in contemporaneous reporting because it is the platform that intelligence and law-enforcement customers run.
When it shipped
2008. The earliest of Palantir's four platforms; built in the company's first five years after 2003 incorporation, with In-Q-Tel funding from the CIA's venture arm during the early period. The 10-K's “for over a decade” framing places the operational deployment timeline well before the 2020 direct listing.
How it relates to the others
Shares the Ontology concept with Foundry — both platforms model an organization's data, logic, and actions as objects in a shared semantic layer. The 10-K notes that Gotham “integrates with our other platforms,” meaning customers running Gotham can layer AIP's LLM-augmented agents and applications on top of Gotham-modelled data, and Apollo deploys Gotham to whichever environment the customer runs (including classified and airgapped). Foundry has overtaken Gotham in commercial-customer count since 2016, but Gotham remains the platform of record for the defense / intelligence segment.
Notable customers and deployments
US Army (Distributed Common Ground System — Army), US intelligence community, US Special Operations Command (SOCOM), and various allied defense and law-enforcement agencies. For per-contract detail, the /data/federal-tech-spending/ page lists Palantir's federal contract obligations year by year.
Product 2 · Launched 2016 · Commercial data ops
Palantir Foundry
What it is
Foundry is Palantir's commercial data-operations platform. Per the FY2025 10-K business section: “Foundry is our foundational data operations platform, which provides the core capabilities for data management, logic authoring, systemic mapping development through Palantir Ontology ('Ontology'), analytics, and workflow development.” Palantir's own marketing on palantir.com/platforms/foundry/ calls it “the Ontology-Powered Operating System for the Modern Enterprise.” The 10-K notes that “all of our commercial customers now use [Foundry], as do many of our government customers.”
Who uses it
Started as a commercial-only platform in 2016; today it is the broadest of the four products by customer count, used across financial services, healthcare, manufacturing, energy, supply chain, and the public sector. Representative public customers include Airbus, BP, Stellantis, Trafigura, Sompo, Sonnedix, Sarcos, Concordance Healthcare Solutions, Tampa General Hospital, Southern California Edison, Swiss Re, and a long list of large US-government agencies that have adopted it alongside Gotham.
When it shipped
2016. The 2020 direct-listing S-1 carried Foundry as the company's commercial platform alongside Gotham; the 2016 launch positioned Palantir to expand outside the defense and intelligence segment that Gotham had served since 2008.
How it relates to the others
Foundry is the Ontology in product form — the shared semantic-and-kinetic core that maps a customer's data, logic, and actions as objects. Gotham uses the same Ontology concept for the defense / intelligence side. AIP runs on top of Foundry's Ontology to give LLM-augmented applications and agents structured access to the customer's data. Apollo deploys Foundry to multi-cloud, hybrid-cloud, private-SaaS, on-prem, and edge environments. Foundry on the major hyperscalers: Foundry is cloud-agnostic and runs on AWS, Azure, and GCP via Apollo, in addition to Palantir-managed and customer-managed environments.
Notable customers and deployments
Airbus (manufacturing analytics), BP (energy operations), Stellantis (automotive), Trafigura (supply-chain carbon emissions), Sompo (eldercare in Japan), Southern California Edison (wildfire prevention and grid operations), Swiss Re (reinsurance risk modeling), and numerous US-government agencies including the CDC, IRS, and HHS. Earnings transcripts on investors.palantir.com are the canonical source for the named-customer roll-call each quarter.
Product 3 · Launched 2018 · Continuous delivery
Palantir Apollo
What it is
Apollo is Palantir's continuous-delivery platform — the system that orchestrates upgrades, security patches, and configuration changes across services and assets. Per the FY2025 10-K: “Apollo is our continuous delivery platform, enabling the orchestration of upgrades of services and assets every day to manage the underlying infrastructure that hosts our other platforms.” Palantir's own framing on palantir.com/platforms/apollo/ calls it “the platform for autonomous software deployment.” Apollo is positioned against the “brittle CD pipelines” pattern: customers register their products, encode SLAs and security policies, and Apollo keeps everything healthy and up to date.
Who uses it
Apollo is both an internal Palantir tool — it is what deploys Gotham, Foundry, and AIP to every customer environment Palantir runs — and a sold product for customers who want autonomous deployment of their own software stack across multiple environments. Per Palantir's own framing, the sold-product use case targets organizations with multi-cloud, hybrid-cloud, private-SaaS, airgapped, or edge deployments where conventional CD pipelines break down. The 10-K leads with the sold-product framing.
When it shipped
2018. Apollo was generally available externally in 2018 after several years of internal use as Palantir's own deployment-orchestration system. The 2020 S-1 named it as one of the company's three platforms at the time of the direct listing.
How it relates to the others
Apollo is the deployment substrate. Per the 10-K, it manages “the underlying infrastructure that hosts our other platforms” — meaning every Palantir Gotham, Foundry, and AIP deployment, in every customer environment, ships and updates through Apollo. For sold-product customers, Apollo is cloud-agnostic and supports multi-cloud, hybrid-cloud, private SaaS, airgapped, and edge environments — including ruggedized field deployments and AWS Outposts.
Notable customers and deployments
Internally: every Palantir customer environment. Externally: software-vendor and large-enterprise customers who run multi-environment deployments. Apollo's sold-product customer roll-call is less publicly visible than Foundry's because Apollo is bundled with broader Palantir engagements; the company-side evidence sits inside Apollo case studies on `palantir.com` and in earnings-call commentary on AIPCon and FoundryCon stages.
Product 4 · Launched 2023 · LLM-augmented operations
Palantir AIP — Artificial Intelligence Platform
What it is
AIP is Palantir's generative-AI platform — the LLM-augmented application, agent, and automation layer that runs on top of the Foundry / Gotham Ontology. Per the FY2025 10-K business section: “AIP is our generative artificial intelligence ('AI') platform, which provides secure connectivity to third-party-provided large language models ('LLMs'), a development toolchain for building AI-powered agents and automations, an array of AI-enabled end user applications, a broad evaluations framework for governing AI workflows in production, and more.” Palantir's own framing on palantir.com/platforms/aip/ calls it “a decision-centric system at the heart of AIP that integrates AI with enterprise data, logic, and action,” and a “tool factory” that equips LLMs with the customer's enterprise logic.
Who uses it
Both commercial and government customers. The 10-K notes AIP “is designed for customers across the commercial and government sectors, enabling them to derive value from recent breakthroughs in AI via the combination of our existing software platforms with generative AI models, including LLMs.” AIP is the product driving most of Palantir's recent revenue growth and most of the AI-cycle commentary; the AIPCon customer conferences in 2023, 2024, and 2025 are where new logos and use cases are announced each cycle.
When it shipped
2023. Per the FY2025 10-K: “In 2023, we began deploying our newest offering, AIP.” AIPCon (Palantir's customer conference for AIP) launched in the same year. AIP is the most rapidly evolving of the four platforms — new sub-products, named features, and positioning shift every quarter, which is why this page is on a quarterly refresh cadence aligned with Palantir's earnings calls.
How it relates to the others
AIP runs on top of the Foundry / Gotham Ontology — it does not replace either. The Ontology is what gives AIP's LLMs structured access to the customer's data, logic, and actions; without the Ontology, AIP would be a thin wrapper around a third-party LLM. The 10-K is explicit that AIP “uniquely allows users to connect LLMs and other AI with their data and operations to facilitate decision-making within the legal, ethical, and security constraints that they require.” AIP is deployed by Apollo to whichever customer environment the underlying Foundry or Gotham instance runs in.
Notable customers and deployments
AIP customer logos roll out at the AIPCon conferences and on quarterly earnings calls; the canonical source is the most recent transcript on investors.palantir.com. Public reference deployments include large insurance carriers, manufacturers, healthcare systems, and US government agencies; per the 10-K, AIP's customer base spans “the commercial and government sectors” without segment limitation.
All four at a glance
Same four products, side by side, in chronological order. The “Key concept” column is the one-phrase mental model for each platform — what to remember about it after the rest of the page falls out of working memory.
| Product | Launched | Primary segment | Typical customer | Key concept |
|---|---|---|---|---|
| Gotham | 2008 | Government / defense | US Army, intelligence community, allied defense agencies | Mission-grade data fusion for decisions in the field |
| Foundry | 2016 | Commercial (now mixed) | Airbus, BP, Stellantis, Trafigura, Swiss Re, plus most US government agencies | Operating system for the modern enterprise, built around the Ontology |
| Apollo | 2018 | Cross-cutting (deployment) | Every Palantir customer environment, plus sold-product customers with multi-environment software | Continuous delivery to anywhere — cloud, on-prem, classified, edge |
| AIP | 2023 | Both commercial and government | Existing Palantir customers extending workflows with LLMs and agents | LLM tool-factory bolted onto the Ontology |
The four products are listed in the order Palantir lists them in the FY2025 10-K business section: Gotham, Foundry, Apollo, AIP. Launch years are sourced to the 10-K (AIP “in 2023”), the 2020 S-1 (Apollo, Foundry, Gotham as Palantir's then-current platforms), and contemporaneous reporting for the 2008 / 2016 / 2018 dates.
Read these primary sources
Most of the page's content is paraphrased from the URLs below. They are the authoritative places to read what Palantir says about each product on its own platform pages, the canonical four-product description from the most recent SEC 10-K business section, and the earnings-call transcripts where AIP's quarterly trajectory is described.
Palantir's own platform pages
Per-product marketing pages on palantir.com/platforms/ — the canonical source for each product's company-side framing, plus the primary entry to the per-product technical documentation on docs.palantir.com.
# Per-product platform pages
https://www.palantir.com/platforms/gotham/
https://www.palantir.com/platforms/foundry/
https://www.palantir.com/platforms/apollo/
https://www.palantir.com/platforms/aip/
# Platforms hub — landing for the four products
https://www.palantir.com/platforms/
# Technical documentation
https://www.palantir.com/docs/foundry/
https://www.palantir.com/docs/aip/SEC filings — the canonical four-product description
The FY2025 10-K business section is the canonical “four principal software platforms” description. The 2020 direct-listing S-1 is the cleanest concise pre-AIP description (Gotham, Foundry, Apollo only) and useful for the original product-scope language.
# Most recent 10-K (FY2025, filed 2026-02-17) — business section
https://www.sec.gov/Archives/edgar/data/1321655/000132165526000011/pltr-20251231.htm
# 2020 direct-listing S-1 — pre-AIP product-scope language
https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001321655&type=S-1
# Palantir on EDGAR — full filing history
https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001321655
# EDGAR submissions JSON — programmatic filing index
https://data.sec.gov/submissions/CIK0001321655.jsonInvestor relations — AIP trajectory and customer roll-call
Where AIP's quarter-by-quarter trajectory is described in plain prose, and where new customer logos and named features get their first mention. AIPCon transcripts and the company's quarterly business updates also live here.
# Palantir Investor Relations — SEC filings, earnings, events
https://investors.palantir.com/
# Palantir engineering blog — Apollo, Ontology architecture writeups
https://blog.palantir.com/Sources: Palantir's own platform pages for each of the four products (Gotham, Foundry, Apollo, AIP); the FY2025 10-K business section for the canonical four-product description; the 2020 direct-listing S-1 for the pre-AIP product-scope language; and earnings-call transcripts on investors.palantir.com for AIP's quarterly trajectory. Reporter coverage is cited under fair use (linked, not republished). Last updated April 2026.
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