by Caroline Haskins
Article also HERE
Getty Images a data broker, a data miner, or a giant database of personal information.
In reality, it's none of these - but even former employees struggle to explain it...
Palantir is arguably one of the most notorious corporations in contemporary America.
Cofounded by libertarian tech billionaire Peter Thiel, the software firm's work with Immigration and Customs Enforcement, the US Department of Defense, and the Israeli military has sparked numerous protests in multiple countries.
Palantir has been so infamous for so long that, for some people, its name has become a cultural shorthand for dystopian surveillance.
But a number of former Palantir employees tell WIRED they believe the public still largely misunderstands what the company actually does and how its software works.
Some people think it's a data broker that buys information from private companies and resells it to the government.
Palantir has tried to correct the record itself in a series of blog posts with titles like,
In the latter, Palantir explains that,
The problem, however, is that even ex-employees struggle to provide a clear description of the company.
Xia was one of 13 former Palantir staffers who signed an open letter published in May arguing that the company risks being complicit in authoritarianism by continuing to cooperate with the Trump administration.
She and other former Palantir staffers who spoke to WIRED for this story argue that, in order to grapple with Palantir and its role in the world, let alone hold the company accountable, you need to first understand what it really is.
It's not that former employees literally don't know what Palantir is selling.
In interviews with WIRED, they spoke fluidly about how its software can connect and transform different kinds of data collected by government agencies and corporations.
But when asked to, say, name its direct business competitors, two former Palantir employees who requested anonymity to speak freely about their experiences, struggled to come up with anything.
Juan Sebastián Pinto, who worked as a content strategist at Palantir and also signed the open letter, says it sells software to other businesses, a category commonly referred to in Silicon Valley as B2B SaaS.
Another former staffer says Palantir provides,
So what sets Palantir apart?
Part of the answer may lie in Palantir's marketing strategy. Pinto says he believes that the company, which recently began using the tagline "software that dominates," has cultivated its mysterious public image on purpose.
Unlike consumer-facing startups that need to clearly explain their products to everyday users, Palantir's main audience is sprawling government agencies and Fortune 500 companies.
What it's ultimately selling them is not just software, but the idea of a seamless, almost magical solution to complex problems.
To do that, Palantir often uses the language and aesthetics of warfare, painting itself as a powerful, quasi-military intelligence partner.
Palantir sends its employees to work inside client organizations essentially as consultants, helping to customize their data pipelines, troubleshoot problems, and fix bugs.
It calls these workers "forward deployed software engineers," a term that appears to be inspired by the concept of forward-deployed troops, who are stationed in adversarial regions to deter nearby enemies from attacking.
A former Palantir employee tells WIRED that the company also has code words for certain job titles like,
...which they say are sourced from the North Atlantic Treaty Organization's (NATO) phonetic alphabet of code words meant for use over military radio.
A different former employee tells WIRED that Palantir staffers will often use the military term "FYSA," or "for your situational awareness," instead of "FYI."
Many Palantir emails, they say, also begin with "BLUF:" or "bottom line up front," followed by a short summary of key details or events. (It's essentially the military equivalent of "TLDR," or "too long didn't read.")
The ex-staffer says this jargon can be traced back to Palantir's first clients, which included US intelligence and military agencies.
But arguably Palantir's most recognizable jargon is borrowed from the Lord of the Rings universe.
In response to a detailed request for comment from WIRED, Palantir spokesperson Lisa Gordon said in a statement that the company is,
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
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 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.
A former Palantir
staffer who has used Gotham says that, in just
minutes, a law enforcement official or
government analyst can map out who may be in a
person's network and see documents that link
them together.
They can also centralize
everything an agency knows about a person in one
place, including their eye color from their
driver's license, or their license plate from a
traffic ticket - making it easy to build a
detailed intelligence report.
They can also use
Gotham to search for a person
based on a characteristic, like their
immigration status, what state they live in, or
whether they have tattoos.
The sales pitch for tools like
Foundry and
Gotham is that they can transcend all of the
challenges associated with storing and
structuring data, and naturally bring
investigations and business decision-makers to
the correct solution.
With an objectively
superior technology, the thinking goes, the best
possible outcomes will follow.
A version of this logic pervades the internal
culture at Palantir.
When asked what
distinguishes it from other tech companies,
former employees consistently mentioned its
"flat" staffing structure. Engineers can
laterally move to more prestigious or
challenging projects if they prove worthy based
on their skills and connections.
One former
staffer tells WIRED that this made the company
feel like a meritocracy where the best people,
and the best ideas, naturally rise to the top.
Some former employees say that Palantir's
meritocratic culture helped cultivate a sense of
loyalty among staff. But they also believe that
this can make it difficult to speak out against
the company or its business decisions.
(Gordon
said that Palantir "prides itself on a culture
of fierce internal dialog and disagreement on
difficult issues related to our work.")
During her time at Palantir,
Xia says she worked
exclusively with private businesses using
Foundry.
However, she felt a nagging discomfort
about the military work happening in other parts
of the organization.
"I did the thing that I
think a lot of people do," Xia says, "which is,
I just didn't engage with it."
Since leaving Palantir, Pinto says he's spent a
lot of time reflecting on the company's ability
to parse and connect vast amounts of data.
He's
now deeply worried that an authoritarian state
could use this power to "tell any narrative they
want" about, say, immigrants or dissidents it
may be seeking to arrest or deport.
He says that
software like Palantir's doesn't eliminate human
bias.
People are the ones that choose how to work with
data, what questions to ask about it, and what
conclusions to draw.
Their choices could have
"positive outcomes", like ensuring enough
Covid-19 'vaccines' are delivered to
vulnerable areas.
They could also have
devastating ones,
like launching a
deadly airstrike, or
deporting someone.
In some ways, Palantir can be seen as an
amplifier of people's intentions and biases.
It
helps them make evermore precise and intentional
decisions, for better or for
worse...
But this may
not always be obvious to Palantir's users.
They
may only experience a sophisticated platform,
sold to them using the vocabulary of warfare and
hegemony. It may feel as if objective
conclusions are flowing naturally from the data.
When Gotham users connect disparate pieces of
information about a person, it could seem like
they are reading their whole life story, rather
than just a slice of it.
"It's a really powerful tool," says one former Palantir employee.
"And when it's in the wrong hands, it can be
really dangerous. And I think people should be really scared
about it."
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