• Palantir's Product Development organization is made up of small teams of Software Engineers, each focusing on a specific aspect of a product. For example, you might be part of a team that builds a Foundry front-end application, or a component of the Gotham release infrastructure.
  • Palantir Metropolis is structured around time series. Its underlying model is, fundamentally, a stream of events. Gotham is used for describing and exploring and querying properties of and relationships between objects that represent real-world nouns that have an identity that persists over time, as well as events that are ephemeral.
  • The name Palantir is a nod to spherical objects used in the "Lord of the Rings" books to see other parts of fictional Middle-earth. Funded in part by In-Q-Tel, the investment arm of the Central...
  • Palantir is a software company offering intelligence services from governments and institutions to large commercial organizations. The company's two main platforms Gotham and Foundry, are integrated at enterprise-level. Its business model follows three phases: Acquire, Expand, and Scale. The company bears the pilot costs in the acquire and expand phases, and it runs at a loss. Where in the ...
  • • Led design on various analytical tools and projects within Foundry, Palantir's commercial platform. Most recently, Foundry Reports, an app for creating interactive documents and dashboards.
  • Sep 29, 2020 · Palantir credits innovation in the Apollo platform as its way to achieve margins resembling those of software as a service instead of operating like a consulting business, all hidden to the end users of Gotham and Foundry.
  • Aug 26, 2020 · Palantir is reported to have raised at least $2.5 billion in funding to date. The company’s first product, Gotham, was built for defence and intelligence analysts and has also been used by U.S ...
  • Nov 09, 2020 · Palantir is a software company that specializes in big data. Essentially, it allows its customers to operate on massive amounts of data in order to glean solutions and actionable insights. It has two main offerings: the Gotham platform, which specializes in government and defense contracts, and the Foundry platform, which has more commercial applications.

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Apr 22, 2020 · The Space Force will use the company’s Foundry Suite to better understand what is orbiting the earth, be it satellites, space debris or incoming hostile projectiles. Palantir “will take the data and convert it into knowledge,” said Col. Jennifer Krolikowski, head of the space command and control modernization program nicknamed Kobayashi Maru.
On its official website, the big data firm talks about two products: Palantir Gotham (see the Batman reference here?) and Palantir Foundry. Gotham was reportedly used for counter-terrorism efforts by the United States government agencies and cyber analysts at Canada’s Information Warfare Monitor.

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The company has built two principal software platforms — Palantir Gotham ("Gotham") and Palantir Foundry ("Foundry"). Gotham came first, built shortly after Palantir's founding in 2003, and was created specifically for the United States intelligence community to assist in counterterrorism investigations and operations.
At a basic level, Palantir provides data analytics software. The company has two product lines: Gotham and Foundry. Gotham was the first product to market and is focused on public sector customers like U.S. defense and intelligence agencies.

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Palantir Gotham is a fundamentally extensible platform that maximizes openness and control over the environment. Palantir Gotham interoperates smoothly with common programming languages, external systems, and software products through industry-standard REST APIs, while the platform's open APIs allow users to build new capabilities.
Sep 30, 2020 · Foundry is designed to link disparate and largely incompatible data sources into a central operating system. It’s the company’s primary hope for broadening its business. An earlier product, Gotham, has been used by defense and intelligence analysts and police departments to identify patterns deep within datasets.