ICE Is Using Data Broker Tools to ‘Identify Unaccompanied Minors’ and ‘Fraud’Immigration and Customs Enforcement (ICE) intends to renew its contract with a subsidiary of data broker giant Thomson Reuters at a rate of up to $25 million per year for up to five years in order to accommodate an urgent, “multiplied” demand for data that can identify “unaccompanied minors” as well as anyone involved with “any type of fraud of government funds,” according to a document published in a federal contract register on Tuesday.
“Due to ICE’s re-prioritized mission,” the document reads, “there is a need for the data to be readily accessible to support the presidential mandate of the identification of Voters fraud, Immigration Fraud, and National Security.”
The document does not explain why ICE would need to identify unaccompanied minors, which is typically the remit of the Department of Health and Human Services (HHS), or how Thomson Reuters’ data would be used to combat voter fraud or immigration fraud. When reached for comment, Thomson Reuters spokesperson Kat Hanley tells WIRED that its identification work for ICE may include “vetting the sponsors of children entering the country” to ensure the children’s “welfare and safety.”
The annual payment of $25 million marks a dramatic increase in the value of Thomson Reuters’ work with ICE. The previous equivalent contract was worth $24 million total over a five-year period.
Though ICE has been buying data from Thomson Reuters since 2008, the contract justification indicates that the Trump administration hopes to expand the scope of how Thomson Reuters data is used by federal immigration officials. It is yet another indicator of the ever-expanding reach of President Donald Trump’s crackdown on immigration.
The Department of Homeland Security (DHS) claims in the document that Thomson Reuters Special Services (TRSS) is “the only contractor” that can provide “continuous monitoring of up to one million individuals and entities” with “event-driven monitoring,” “real-time alerts,” and “model-based risk scoring.” The document did not provide examples of said events or risks.
The contract would maintain ICE’s access to several proprietary Thomson Reuters databases, the document says. One of these databases is the Consolidated Lead Evaluation and Reporting (CLEAR), which provides access to public records and “license plate reader data,” which is sourced from on-road-based surveillance cameras that can read license plates. Since 2017, Thomson Reuters has sourced this data from Vigilant Solutions, an automated license plate reader company that is now owned by Motorola.
Another Thomson Reuters database named in the document is the Continuous Alerting Batch Solution (CABS), which ICE says pulls records about individuals who were recently incarcerated or came into contact with law enforcement, including “real-time alerting on last known location data.”
The contract would also maintain ICE’s access to Westlaw, Thomson Reuters’s court records database. ICE will also have access to Real Time Incarceration and Arrest Records (RTIA and Thomson Reuters Special Services Entity Authority (TEA), which feeds into a “risk intelligence” platform called RAPID, according to Thomson Reuters’s website.
The software bundle that Thomson Reuters sells to ICE, the document claims, enables the agency to conduct “continuous monitoring,” “court document retrieval,” “risk assessments,” and “academic risk flagging.” The document does not explain what constitutes an academic risk.
Representatives for ICE, DHS, and HHS did not respond to requests for comment. A White House spokesperson referred WIRED to DHS and ICE.
Unaccompanied minors, children who arrive in the US alone, are not the purview of ICE. Care for these children is overseen by the Office of Refugee Resettlement (ORR), which is under the umbrella of HHS and operates independently from immigration enforcement. However, in February last year, ICE agents were granted further access to the database that ORR uses to track unaccompanied minors.
#ICE #Data #Broker #Tools #Identify #Unaccompanied #Minors #Fraudimmigration and customs enforcement,department of homeland security,privacy,politics,donald trump,data,data brokers
Immigration and Customs Enforcement (ICE) intends to renew its contract with a subsidiary of data broker giant Thomson Reuters at a rate of up to $25 million per year for up to five years in order to accommodate an urgent, “multiplied” demand for data that can identify “unaccompanied minors” as well as anyone involved with “any type of fraud of government funds,” according to a document published in a federal contract register on Tuesday.
“Due to ICE’s re-prioritized mission,” the document reads, “there is a need for the data to be readily accessible to support the presidential mandate of the identification of Voters fraud, Immigration Fraud, and National Security.”
The document does not explain why ICE would need to identify unaccompanied minors, which is typically the remit of the Department of Health and Human Services (HHS), or how Thomson Reuters’ data would be used to combat voter fraud or immigration fraud. When reached for comment, Thomson Reuters spokesperson Kat Hanley tells WIRED that its identification work for ICE may include “vetting the sponsors of children entering the country” to ensure the children’s “welfare and safety.”
The annual payment of $25 million marks a dramatic increase in the value of Thomson Reuters’ work with ICE. The previous equivalent contract was worth $24 million total over a five-year period.
Though ICE has been buying data from Thomson Reuters since 2008, the contract justification indicates that the Trump administration hopes to expand the scope of how Thomson Reuters data is used by federal immigration officials. It is yet another indicator of the ever-expanding reach of President Donald Trump’s crackdown on immigration.
The Department of Homeland Security (DHS) claims in the document that Thomson Reuters Special Services (TRSS) is “the only contractor” that can provide “continuous monitoring of up to one million individuals and entities” with “event-driven monitoring,” “real-time alerts,” and “model-based risk scoring.” The document did not provide examples of said events or risks.
The contract would maintain ICE’s access to several proprietary Thomson Reuters databases, the document says. One of these databases is the Consolidated Lead Evaluation and Reporting (CLEAR), which provides access to public records and “license plate reader data,” which is sourced from on-road-based surveillance cameras that can read license plates. Since 2017, Thomson Reuters has sourced this data from Vigilant Solutions, an automated license plate reader company that is now owned by Motorola.
Another Thomson Reuters database named in the document is the Continuous Alerting Batch Solution (CABS), which ICE says pulls records about individuals who were recently incarcerated or came into contact with law enforcement, including “real-time alerting on last known location data.”
The contract would also maintain ICE’s access to Westlaw, Thomson Reuters’s court records database. ICE will also have access to Real Time Incarceration and Arrest Records (RTIA and Thomson Reuters Special Services Entity Authority (TEA), which feeds into a “risk intelligence” platform called RAPID, according to Thomson Reuters’s website.
The software bundle that Thomson Reuters sells to ICE, the document claims, enables the agency to conduct “continuous monitoring,” “court document retrieval,” “risk assessments,” and “academic risk flagging.” The document does not explain what constitutes an academic risk.
Representatives for ICE, DHS, and HHS did not respond to requests for comment. A White House spokesperson referred WIRED to DHS and ICE.
Unaccompanied minors, children who arrive in the US alone, are not the purview of ICE. Care for these children is overseen by the Office of Refugee Resettlement (ORR), which is under the umbrella of HHS and operates independently from immigration enforcement. However, in February last year, ICE agents were granted further access to the database that ORR uses to track unaccompanied minors.
![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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