Spying on the world is lucrative if you have the contacts to the players who have the capital to make it happen. As you, my loyal readers know, it's all about the money and the Military/Industrial/Complex, the real owner of the country that uses surveillance as a primary way to maintain control
Peter Thiel became one of the American political mainstream’s most notorious figures in 2016 (when it emerged he was bankrolling a lawsuit against Gawker Media, my former employer) even before he won a direct line to the White House. Now he brings to his role as presidential adviser decades of experience as kingly investor and token nonliberal on Facebook’s board of directors, a Rolodex of software luminaries, and a decidedly Trumpian devotion to controversy and contrarianism. But perhaps the most appealing asset Thiel can offer our bewildered new president will be Palantir Technologies, which Thiel founded with Alex Karp and Joe Lonsdale in 2004.
“Palantir” is generally used interchangeably to refer to both Thiel and Karp’s company and the software that company creates. Its two main products are Palantir Gotham and Palantir Metropolis, more geeky winks from a company whose Tolkien namesake is a type of magical sphere used by the evil lord Sauron to surveil, trick, and threaten his enemies across Middle Earth. While Palantir Metropolis is pegged to quantitative analysis for Wall Street banks and hedge funds, Gotham (formerly Palantir Government) is designed for the needs of intelligence, law enforcement, and homeland security customers. Gotham works by importing large reams of “structured” data (like spreadsheets) and “unstructured” data (like images) into one centralized database, where all of the information can be visualized and analyzed in one workspace. For example, a 2010 demo showed how Palantir Government could be used to chart the flow of weapons throughout the Middle East by importing disparate data sources like equipment lot numbers, manufacturer data, and the locations of Hezbollah training camps. Palantir’s chief appeal is that it’s not designed to do any single thing in particular, but is flexible and powerful enough to accommodate the requirements of any organization that needs to process large amounts of both personal and abstract data.