In response to a detailed request for comment from WIRED, Palantir spokesperson Lisa Gordon said in a statement that the company is “proud to support the US government, especially our warfighters,” and that it has never wavered from its founding mission “to support the West and empower the world’s most important institutions.” Gordon added that the open letter criticizing Palantir was only signed by a small portion of the company’s approximately 8,000 employees and alumni.
Dawn of Big Data
Underneath the jargon and marketing, Palantir sells tools that its customers—corporations, nonprofits, government agencies—use to sort through data. What makes Palantir different from other tech companies is the scale and scope of its products. Its pitch to potential customers is that they can buy one system and use it to replace perhaps a dozen other dashboards and programs, according to a 2022 analysis of Palantir’s offerings published by blogger and data engineer Ben Rogojan.
Crucially, Palantir doesn’t reorganize a company’s bins and pipes, so to speak, meaning it doesn’t change how data is collected or how it moves through the guts of an organization. Instead, its software sits on top of a customer’s messy systems and allows them to integrate and analyze data without needing to fix the underlying architecture. In some ways, it’s a technical band-aid. In theory, this makes Palantir particularly well suited for government agencies that may use state-of-the-art software cobbled together with programming languages dating back to the 1960s.
Palantir began gaining steam in the 2010s, a decade when corporate business discourse was dominated by the rise of “Big Data.” Hundreds of tech startups popped up promising to disrupt the market by leveraging information that was now readily available thanks to smartphones and internet-connected sensors, including everything from global shipping patterns to the social media habits of college students. The hype around Big Data put pressure on companies, especially legacy brands without sophisticated technical know-how, to upgrade their software, or else risk looking like dinosaurs to their customers and investors.
But it’s not exactly easy or cheap to upgrade computer systems that may date back years, or even decades. Rather than tearing everything down and building anew, companies may want a solution designed to be slapped on top of what they already have. That’s where Palantir comes in.
Palantir’s software is designed with nontechnical users in mind. Rather than relying on specialized technical teams to parse and analyze data, Palantir allows people across an organization to get insights, sometimes without writing a single line of code. All they need to do is log into one of Palantir’s two primary platforms: Foundry, for commercial users, or Gotham, for law enforcement and government users.
The Sales Pitch
Foundry focuses on helping businesses use data to do things like manage inventory, monitor factory lines, and track orders. Gotham, meanwhile, is an investigative tool specifically for police and government clients, designed to connect people, places, and events of interest to law enforcement. There’s also Apollo, which is like a control panel for shipping automatic software updates to Foundry or Gotham, and the Artificial Intelligence Platform, a suite of AI-powered tools that can be integrated into Gotham or Foundry.
Foundry and Gotham are similar: Both ingest data and give people a neat platform to work with it. The main difference between them is what data they’re ingesting. Gotham takes any data that government or law enforcement customers may have, including things like crime reports, booking logs, or information they collected by subpoenaing a social media company. Gotham then extracts every person, place, and detail that might be relevant. Customers need to already have the data they want to work with—Palantir itself does not provide any.
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