Tech
Here’s the tech powering ICE’s deportation crackdown
President Donald Trump said he would make countering immigration one of his flagship policies during his second term in the White House, promising an unprecedented number of deportations.
A year in, data shows that deportations by Immigration and Customs Enforcement (ICE) and Customs and Border Protection have surpassed at least 350,000 people.
ICE has taken center stage in Trump’s mass removal campaign, raiding homes, workplaces, and public parks in search of undocumented people, prompting widespread protests and resistance from communities across the United States.
ICE uses several technologies to identify and surveil individuals. Homeland Security has also leveraged the shadow of Trump’s deportations to challenge long-standing legal norms, including forcibly entering homes to arrest people without a judicial warrant, a move that legal experts say violates the Fourth Amendment protections against unreasonable searches and seizures.
Here are some of the technologies that ICE is relying on.
Cell-site simulators
ICE has a technology known as cell-site simulators to snoop on cellphones. These surveillance devices, as the name suggests, are designed to appear as a cellphone tower, tricking nearby phones into connecting to them. Once that happens, the law enforcement authorities who are using the cell-site simulators can locate and identify the phones in their vicinity, and potentially intercept calls, text messages, and internet traffic.
Cell-site simulators are also known as “stingrays,” based on the brand name of one of the earliest versions of the technology, which was made by U.S. defense contractor Harris (now L3Harris); or IMSI catchers, a technology that can capture a nearby cell phone’s unique identifier, which law enforcement can use for identifying the phone’s owner.
In the last two years, ICE has signed contracts for more than $1.5 million with a company called TechOps Specialty Vehicles (TOSV), which produces customized vans for law enforcement.
A contract worth more than $800,000, dated May 8, 2025, said TOSV will provide “Cell Site Simulator (CSS) Vehicles to support the Homeland Security Technical Operations program.”
TOSV president Jon Brianas told TechCrunch that the company does not manufacture the cell-site simulators, but rather integrates them “into our overall design of the vehicle.”
Cell-site simulators have long been controversial for several reasons.
These devices are designed to trick all nearby phones to connect to them, which means that, by design, they gather the data of many innocent people. Also, authorities have sometimes deployed them without first obtaining a warrant.
Authorities have also tried to keep their use of the technology secret in court, withholding information and even accepting plea deals and dropping cases rather than disclose information about their use of cell-site simulators. In a court case in 2019 in Baltimore, it was revealed that prosecutors were instructed to drop cases rather than violate a non-disclosure agreement with the company that makes the devices.
Facial recognition
Clearview AI is perhaps the most well-known facial-recognition company today. For years, the company promised to be able to identify any face by searching through a large database of photos it had scraped from the internet.
On Monday, 404 Media reported that ICE has signed a contract with the company to support its law enforcement arm, Homeland Security Investigations (HSI), “with capabilities of identifying victims and offenders in child sexual exploitation cases and assaults against law enforcement officers.”
According to a government procurement database, the contract signed last week is worth $3.75 million.
ICE has had other contracts with Clearview AI in the last couple of years. In September 2024, the agency purchased “forensic software” from the company, a deal worth $1.1 million. The year before, ICE paid Clearview AI nearly $800,000 for “facial recognition enterprise licenses.”
Clearview AI did not respond to a request for comment.
ICE is also using a facial-recognition app called Mobile Fortify, which federal agents use to identify people on the street. The app relies on scanning a person’s driver’s license photo against 200 million photos, much of the data sourced from state driver’s license databases.
Paragon phone spyware
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In September 2024, ICE signed a contract worth $2 million with Israeli spyware maker Paragon Solutions. Almost immediately, the Biden administration issued a “stop work order,” putting the contract under review to make sure it complied with an executive order on the government’s use of commercial spyware.
Because of that order, for nearly a year, the contract remained in limbo. Then, last week, the Trump administration lifted the stop-work order, effectively reactivating the contract.
At this point, the status of Paragon’s relationship with ICE in practice is unclear.
The records entry from last week said that the contract with Paragon is for “a fully configured proprietary solution including license, hardware, warranty, maintenance, and training.” Practically speaking, unless the hardware installation and training were done last year, it may take some time for ICE to have Paragon’s system up and running.
It’s also unclear if the spyware will be used by ICE or HSI, an agency whose investigations are not limited to immigration, but also cover online child sexual exploitation, human trafficking, financial fraud, and more.
Paragon has long tried to portray itself as an “ethical” and responsible spyware maker, and now has to decide if it’s ethical to work with Trump’s ICE. A lot has happened to Paragon in the last year. In December, American private equity giant AE Industrial purchased Paragon, with a plan to merge it with cybersecurity company RedLattice, according to Israeli tech news site Calcalist.
In a sign that the merger may have taken place, when TechCrunch reached out to Paragon for comment on the reactivation of the ICE contract last week, we were referred to RedLattice’s new vice president of marketing and communications, Jennifer Iras.
RedLattice’s Iras did not respond to a request for comment for this article, nor for last week’s article.
In the last few months, Paragon has been ensnared in a spyware scandal in Italy, where the government has been accused of spying on journalists and immigration activists. In response, Paragon cut ties with Italy’s intelligence agencies.
Phone hacking and unlocking technology
In mid-September, ICE’s law enforcement arm, Homeland Security Investigations, signed a contract with Magnet Forensics for $3 million.
This contract is specifically for software licenses so that HSI agents can “recover digital evidence, process multiple devices,” and “generate forensic reports,” according to the contract description.
Magnet is the current maker of the phone hacking and unlocking devices known as Graykey. These devices essentially give law enforcement agents the ability to connect a locked phone to them, unlock it, and access the data inside of it.
Magnet Forensics, which merged with Graykey maker Grayshift in 2023, did not respond to a request for comment.
Cellphone location data
At the end of September, 404 Media reported that ICE bought access to an “all-in-one” surveillance tool that allows the agency to search through databases of historical cellphone location data, as well as social media information.
The tool appears to be made of two products called Tangles and Webloc, which are made by a company called Penlink. One of the tools promises to leverage “a proprietary data platform to compile, process, and validate billions of daily location signals from hundreds of millions of mobile devices, providing both forensic and predictive analytics,” according to a redacted contract found by 404 Media.
The redacted contract does not identify which one of the tools makes that promise, but given its description, it’s likely Webloc. Forbes previously cited a case study that said Webloc can search a given location to “monitor trends of mobile devices that have given data at those locations and how often they have been there.”
This type of cellphone location data is harvested by companies around the world using software development kits (SDKs) embedded in regular smartphone apps, or with an online advertising process called real-time bidding (RTB), where companies bid in real-time to place an ad on the screen of a cellphone user based on their demographic or location data. The latter process has the by-product of giving ad tech companies that kind of personal data.
Once collected, this mass of location data is transferred to a data broker who then sells it to government agencies. Thanks to this layered process, authorities have used this type of data without getting a warrant by simply purchasing access to the data.
The other tool, Tangles, is an “AI-powered open-source intelligence” tool that automates “the search and analysis of data from the open, deep, and the dark web,” according to Penlink’s official site.
Forbes reported in September that ICE spent $5 million on Penlink’s two tools.
Penlink did not respond to a request for comment.
License plate readers
ICE relies on automated license plate reader (ALPR) companies to follow drivers across a large swath of the U.S., noting where people go and when.
ICE also leans on its connections with local law enforcement agencies, which have contracts with ALPR providers, like surveillance company Flock Safety, to obtain immigration data by the back door. Flock is one of the largest ALPR providers, with over 40,000 license plate scanners around the United States, and only getting larger with its partnerships with other companies, such as video surveillance company Ring.
Efforts by ICE to informally request data from local law enforcement have prompted some police departments to cut off federal agencies from their access.
Border Patrol runs its own surveillance network of ALPR cameras, the Associated Press reported.
LexisNexis’ legal and public records databases
For years, ICE has used the legal research and public records data broker LexisNexis to support its investigations.
In 2022, two non-profits obtained documents via Freedom of Information Act requests, which revealed that ICE performed more than 1.2 million searches over seven months using a tool called Accurint Virtual Crime Center. ICE used the tool to check the background information of migrants.
A year later, The Intercept revealed that ICE was using LexisNexis to detect suspicious activity and investigate migrants before they even committed a crime, a program that a critic said enabled “mass surveillance.”
According to public records, LexisNexis currently provides ICE “with a law enforcement investigative database subscription (LEIDS) which allows access to public records and commercial data to support criminal investigations.”
This year, ICE has paid $4.7 million to subscribe to the service.
LexisNexis spokesperson Jennifer Richman told TechCrunch that ICE has used the company’s product “data and analytics solutions for decades, across several administrations.”
“Our commitment is to support the responsible and ethical use of data, in full compliance with laws and regulations, and for the protection of all residents of the United States,” said Richman, who added that LexisNexis “partners with more than 7,500 federal, state, local, tribal, and territorial agencies across the United States to advance public safety and security.”
Surveillance giant Palantir
Data analytics and surveillance technology giant Palantir has signed several contracts with ICE in the last year. The biggest contract, worth $18.5 million from September 2024, is for a database system called “Investigative Case Management,” or ICM.
The contract for ICM goes back to 2022, when Palantir signed a $95.9 million deal with ICE. The Peter Thiel-founded company’s relationship with ICE dates back to the early 2010s.
Earlier this year, 404 Media, which has reported extensively on the technology powering Trump’s deportation efforts, and particularly Palantir’s relationship with ICE, revealed details of how the ICM database works. The tech news site reported that it saw a recent version of the database, which allows ICE to filter people based on their immigration status, physical characteristics, criminal affiliation, location data, and more.
According to 404 Media, “a source familiar with the database” said it is made up of ‘tables upon tables’ of data and that it can build reports that show, for example, people who are on a specific type of visa who came into the country at a specific port of entry, who came from a specific country, and who have a specific hair color (or any number of hundreds of data points).”
The tool, and Palantir’s relationship with ICE, was controversial enough that sources within the company leaked to 404 Media an internal wiki where Palantir justifies working with Trump’s ICE.
Palantir is also developing a tool called “ImmigrationOS,” according to a contract worth $30 million revealed by Business Insider.
ImmigrationOS is said to be designed to streamline the “selection and apprehension operations of illegal aliens,” give “near real-time visibility” into self-deportations, and track people overstaying their visa, according to a document first reported on by Wired.
First published on September 13, 2025, and updated on September 18, 2025, to include Magnet Forensics’ new contract, again on October 8, 2025, to include cell-site simulators and location data, and again on January 26, 2026, to include license plate readers.
Tech
Can an Apple lawsuit derail OpenAI’s hardware plans?
Apple recently filed a trade secrets lawsuit against OpenAI, accusing the AI company of a pattern of misconduct aimed at getting current and former Apple employees to share confidential information. (In response, OpenAI said it is “not aware of any evidence that this complaint has merit.”)
On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I debated whether this lawsuit will cast a shadow over OpenAI’s much-discussed plans to get into the hardware business (starting with a mobile smart speaker) and go public.
“Even setting aside whether or not the court grants any kind of injunctive relief or any kind of restraining order over what OpenAI is doing, it just naturally can lead to that sort of situation where it’s going to cause some delays in what OpenAI is working on,” Sean suggested. “Which I’m sure was probably part of the reasoning behind Apple doing this. They don’t do this stuff willy nilly.”
With all those plans on the line, will OpenAI try to settle this as quickly as possible, or did it learn from its recent courtroom victory against Elon Musk that it can endure the cost and embarrassment of a trial? Kirsten, at least, predicts the latter.
Keep reading for a preview of our conversation, edited for length and clarity.
Kirsten: Sean, how do you feel about Sam Altman listening to you with a little device maybe in your pocket?
Sean: I’m good. Maybe that’s predictable, but I’m good. No thanks.
We’ll get into it, I’m sure, but this is allegedly the first product that OpenAI has been working on in its hardware division with Jony Ive and company. They’ve been really coy ever since that weird video they put out last year of them sitting at that coffee shop or bar in San Francisco and sort of talking very vaguely about hardware and legacy devices, meaning laptops and phones. And so if this is the direction they’re headed in, all power to people who want to have somebody like that always listening to them. This is not going to be for me.
Anthony: Part of what we have to remember about those kinds of devices is also that, depending on how mobile it is, it’s not just listening to you, it’s listening to the people around you. I might be fine with it — I’m not fine with it, but let’s say I was — but then if we met up in-person at Disrupt, then suddenly it might be listening to all of us.
There are all kinds of social norms that are going to have to be renegotiated if these things become widespread. I think we should make fun of and criticize people who record other people without consent.
Kirsten: Well, I bring up the device that has been speculated about for a really long time, and we’ll see what it really ends up being once it’s officially introduced, but it’s important in the context of this lawsuit that Apple filed last Friday.
It was the biggest news of the week, certainly, and this is a trade secret lawsuit. It has some pretty wild allegations and we should very much emphasize these are allegations that have been filed in a complaint by Apple. But what it is accusing OpenAI of is a pattern of misconduct at the highest levels, specifically directed towards OpenAI employees who used to work at Apple. And in fact they’ve named the chief hardware officer Tang Tan in this lawsuit.
This is all important because Apple is accusing OpenAI of essentially stealing their trade secrets, but in the context of that, this could be then used for a competing hardware product. I’m wondering if maybe we don’t get into whether this lawsuit has merits, because we haven’t gone through full discovery, but what are your initial impressions of the lawsuit aside from the fact that wow, this is going to be entertaining?
Sean: Two things. One, this is a pretty big risk potentially to whatever it is OpenAI is working on. Even setting aside whether or not the court grants any kind of injunctive relief or any kind of restraining order over what OpenAI is doing, it just naturally can lead to that sort of situation where it’s going to cause some delays in what OpenAI is working on, which I’m sure was probably part of the reasoning behind Apple doing this. They don’t do this stuff willy nilly.
The other is that we think that OpenAI is — we know that they’ve filed confidentially for an IPO. We think it might happen as early as the end of this year, or early next year, if you believe Sam Altman’s cautious language around the IPO. And this just raises a whole bunch of questions around that because, on the one hand, we think their business right now is probably overwhelmingly the software; they’re not really factoring in any hardware business into that picture at the moment.
They’re about to go to the markets and they’re going to be pitching bankers and investors on where they think their addressable market should be, and if they have a big amount of that pegged to a potential hardware division and hardware products, this could be a huge risk to that and changes a lot of the calculus of sort of how the IPO gets priced. So that’s where my head’s at.
Anthony: One [allegation] that I assume that Apple must have pretty solid numbers on is, they said more than 400 Apple employees now work at OpenAI. Granted, both of them are very large companies with many thousands or tens of thousands of employees. So as a percentage, it’s not necessarily huge. But that seems like a lot of people and a pretty serious talent drain.
And the other thing I’m wondering is related to Sean’s point. With the context of the potential IPO, how much damage did OpenAI ultimately take from a marketing and brand perspective from the trial it already went through? That it seemed to basically win, but there was a lot of not-terrible-but-kind-of-embarrassing dirty laundry that came out in the testimony. To what extent are they just like, “We do not want to go through that again”? Or did they take the lesson of, “Hey, we went through it and we survived and we’ll be okay if we have to do another trial with Apple”?
Kirsten: I fully predict the latter, by the way.
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Tech
What to watch for after Jensen Huang’s Japan visit
Nvidia’s chief Jensen Huang spent two days — July 15 and 16 — in Tokyo, courting Japan’s industrial and chip-supply elite, weeks after a keynote in Taiwan, and months after a visit to South Korea. He left with deals spanning Japan’s entire tech ecosystem: a national AI factory, partnerships with the country’s leading robotics companies, and agreements with the chip-material suppliers powering Nvidia’s next generation of AI chips. His message was clear. Nvidia is targeting Japan’s factory floor, and many of the country’s biggest manufacturers are joining in. AI’s next chapter, Huang said, belongs to factory floors, robots, and machines, and he wants Japan to build it.
Thirty years ago, a $5 million Sega investment helped keep a near-bankrupt Nvidia afloat; today, Nvidia and Japan’s industrial giants need each other again — this time to build the physical-AI era, starting with these three projects:
Noetra — Japan’s sovereign-AI play. The country doesn’t want to run its factories and robots on American or Chinese AI. So, the government pulled together roughly 44 domestic firms, with SoftBank, Sony, NEC, and Honda at the core, to build its own AI for robots, vehicles, and factory floors. Tokyo is committing up to 1 trillion yen ($6.2 billion) over five years, a bet on homegrown “physical AI,” foundation models built to run machines. Japan wants to own the software brain. The hardware to build it, though, still comes from Nvidia. The U.S. chip giant is building “a Vera Rubin AI factory,” a massive data center packed with its next-generation chips, expected to launch in 2028, with 13,750 Vera CPUs and 27,500 Rubin GPUs, delivering 140 megawatts. Noetra will oversee the effort, with plans to build the data center. Noetra’s plan runs in three stages: a reasoning model heavy on Japanese-language skills starting in fiscal 2026; an omni-modal version handling text, images, video, and audio by 2028; and “Real-world Native AI” built to run robots by 2030, released to outside Noetra developers in phases.
The robotics coalition — Japan’s industrial giants line up behind Cosmos. Nvidia is targeting Japan’s factory floor, and many of the country’s top robotics and manufacturing players are signing on. Fanuc, Yaskawa, Kawasaki Heavy, Fujitsu, Hitachi, NEC, Sony, SoftBank, Kubota, and robotics group AIRoA say they plan to build on Nvidia’s Cosmos models, an open-model effort Nvidia started in May with a handful of global AI labs. In Tokyo, Nvidia gave them a reason to commit, unveiling Cosmos 3 Edge, a version of the model that runs on its Jetson Thor chips inside the machines themselves. Some are already testing a shared control system; others, like Honda R&D and Omron, are building on the tools now. “The next frontier of AI is in the physical world, and this is a once-in-a-generation opportunity for Japan,” Huang said in the company’s statement. “Japan invented modern manufacturing. Now, it has the opportunity to reinvent it for the age of intelligent industries.”
Toyota — cars and physical AI. Toyota uses Nvidia chips across much of its stack. It committed its next-generation vehicles to Nvidia’s Drive platform at CES in January 2025; the newer work extends Nvidia into its manufacturing, where simulations are used to design production lines, into the software that runs its vehicles, and into systems that read road traffic. Toyota’s cars will run advanced driver assistance, which steers and brakes but still requires a driver, a more conservative approach than Waymo and Tesla, which are developing systems that rely less on a human driver.
Huang’s visit put physical AI at the center of Japan’s industrial strategy, and Tokyo is spending to back it. Facing a shrinking workforce, Japan wants 10 million AI-equipped robots across 18 sectors by 2040, backed by $65 billion in public and private physical-AI investment.
The longer game is bigger. Japan’s AI Robotics Strategy, released in March, aims to capture more than 30% of the global AI robotics market by 2040, a market Tokyo values at roughly ¥20 trillion, or about $133 billion. METI is funding a domestic foundation model to run the machines, and Noetra’s Nvidia-powered factory is where models of that scale, into the trillions of parameters, would be trained.
Underneath the industrial case is a sovereign one. As the U.S. and China pull ahead in large-scale AI, Tokyo wants its own data, its own compute, and less dependence on infrastructure it doesn’t control. Huang appeared on July 16 alongside trade minister Ryosei Akazawa at the government’s physical-AI launch, with Prime Minister Sanae Takaichi joining by video. The Takaichi administration has made AI and semiconductors the centerpiece of a growth plan chasing ¥370 trillion ($2.3 trillion) in public and private investment by 2040. Noetra’s factory — which Nvidia bills as “the world’s first national AI infrastructure” — is the clearest bet yet. Japan’s push for independence, at least for now, rests on American chips.
In two days, Huang sat across from nearly every name that matters in Japanese tech — the CEOs of Toyota, Fanuc, Yaskawa, Fujitsu, and Kawasaki over lunch, and dozens of supply-chain chiefs over skewers and whisky in a Kanda izakaya.
It’s the same playbook he ran weeks earlier — a homecoming keynote in Taiwan, fried chicken, and a 50,000-GPU deal in Seoul last fall. This time, it was Tokyo’s turn, with the robots, the supply chain, and the chips underneath.
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Tech
Netflix paid $587M for Ben Affleck’s AI filmmaking startup
In a new regulatory filing, Netflix revealed that it paid $587 million in cash for InterPositive, a startup co-founded by actor and director Ben Affleck.
The streaming company announced the acquisition in March, with a statement from Affleck saying he wanted to “protect the power of human creativity.” According to Affleck, InterPublic’s AI tools help filmmakers improve their footage in post-production, particularly when it comes to making up for “real-world production challenges such as missing shots, background replacements or incorrect lighting.”
At the time, Netflix announced that the entire InterPositive team would be joining the company, with Affleck joining as a senior advisor, but it didn’t disclose the financial terms of the deal. A subsequent report in Bloomberg suggested that the deal could be worth up to $600 million.
In its most recent earnings report, Netflix said that around 300 of its titles have already used generative AI.
