Thomas Lee Young doesn’t sound like your typical Silicon Valley founder.
The 24-year-old CEO of Interface, a San Francisco startup using AI to prevent industrial accidents, is a white guy with a Caribbean accent and a Chinese last name, a combination he finds amusing enough to mention when he’s first introduced to business contacts. Born and raised in Trinidad and Tobago, the site of substantial oil and gas exploration activity, Young grew up around oil rigs and energy infrastructure because his entire family worked as engineers, stretching back generations to his great-grandfather, who immigrated to the island nation from China.
That background has become his calling card in pitch meetings with oil and gas executives today, but it makes for more than a great conversation starter; it underscores a path that has been anything but straightforward and that Young might argue gives Interface an edge.
It was years in the making. From age 11, Young fixated on Caltech with the intensity of someone much older. He watched shows about Silicon Valley online, mesmerized by the idea that people could build “anything and everything” in America. He did everything possible to secure admission, even writing his application essay about hijacking his family’s Roomba to create 3D spatial maps of his house.
The ploy worked – Caltech accepted him in 2020 – but then COVID-19 hit, and so did its ripple effects. For one thing, Young’s visa situation became nearly impossible (visa appointments were cancelled and processing came to a halt). At the same time, his college fund, carefully built over six or seven years to $350,000 to cover his education, “basically got hit entirely” by the abrupt market downturn in March of that year.
Without a lot of time to decide his future, he chose a cheaper three-year engineering program at the University of Bristol in the UK, studying mechanical engineering, but never abandoning his Silicon Valley dreams. “I was devastated,” he says, “but I realized I could still get something done.”
At Bristol, Young landed at Jaguar Land Rover, working in something called human factors engineering – essentially the UX and safety design of industrial systems. “I had never heard of it before I even joined,” he admits. The role involved figuring out how to make cars and manufacturing lines as safe as possible, ensuring they were “dummy proof” for smooth operations.
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It was there, inside heavy industry, that Young saw the problem that would become Interface. He says the tools many companies use to manage safety documentation are either nonexistent – pen and paper – or so siloed and poorly designed that workers hate them. Worse, the operating procedures themselves — the instruction manuals and checklists that blue-collar workers rely on to stay safe — are riddled with errors, outdated, and nearly impossible to maintain.
Young pitched Jaguar on letting him build a solution, but the company wasn’t interested. So he started plotting his exit. When he learned about Entrepreneur First (EF), a European talent incubator that recruits promising individuals before they have a co-founder or even an idea, he cold applied despite its 1% acceptance rate. He was accepted to essentially pitch himself.
He told Jaguar he was going to a wedding in Trinidad and would be away for a week. Instead, he went to EF’s selection process, impressed the organizers, and the day he returned to the office, quit. “They realized, ‘Oh, so you probably weren’t at a wedding,’” he laughs.
At EF, Young met Aaryan Mehta, his future co-founder and CTO. Mehta, of Indian descent but born in Belgium, had his own thwarted American dream. He’d been accepted to both Georgia Tech and Penn but similarly couldn’t get a visa appointment during COVID. He ended up studying math and computer science at Imperial College London, where he developed AI for fault detection before building machine learning pipelines at Amazon.
“We had similar backgrounds,” Young says. “He’s super international. He speaks five languages, very technical, amazing guy, and we got along very well.” In fact, they were the only team in their EF cohort not to break up, says Young.
More than that, today, they live together in San Francisco’s SoMa neighborhood, though asked about spending so much time together, Young is adamant that that’s not an issue given their respective workloads. “Over the last week, I’ve seen [Aaryan] at home for maybe a combined total of 30 minutes.”
As for what, exactly, they are building, Interface’s pitch is straightforward: use AI to make heavy industry safer. The company autonomously audits operating procedures using large language models, cross-checking them against regulations, technical drawings, and corporate policies to catch errors that could – in a worst-case scenario – get workers killed.
Some of the numbers are arresting. For one of Canada’s largest energy companies, where Interface is now deployed across three sites (Young declines to name the brand), Interface’s software found 10,800 errors and improvements across the company’s standard operating procedures in just two and a half months. As Young tells it, the same work done manually would have cost more than $35 million and taken two to three years.
One error Young found particularly troubling, he says, was a document that had been in circulation for 10 years with the wrong pressure range listed for a valve. “They’re just lucky that nothing happened,” says Medha Agarwal, a partner at Defy.vc, which led Interface’s $3.5 million seed round earlier this year, with participation from Precursor, Rockyard Ventures, and angel investors, including Charlie Songhurst.
The contracts are considerable. After initially trying outcome-based pricing (the energy company “hated it,” Young says), Interface adopted a hybrid per-seat model with overage costs. A single contract with the Canadian energy company is worth more than $2.5 million annually, and Interface has more fuel and oil services customers coming online in Houston, Guyana, and Brazil.
The total addressable market isn’t entirely clear, but it’s not small. In the U.S. alone, there are something like 27,000 oil and gas services companies, per the market research outfit IBISWorld, and that’s just the first vertical that Interface wants to tackle.
The outsider’s edge
Interestingly, Young’s age and background – things that might seem like disadvantages when it comes to more established industries – have become his secret weapons. When he walks into a room of executives twice or three times his age, he says, there’s initial skepticism. “Who the hell is this young guy and how does he know what he’s talking about?”
But then, he says, he delivers his “wow moment,” by explaining an understanding of their operations, their workers’ daily routines, and exactly how much time and money Interface can save them. “Once you can flip them, they will absolutely love you and advocate and fight for you,” he says. (He claims that after a recent, first site visit with operators, five workers asked when they could invest in Interface, which made him particularly proud, given the field workers typically “hate software providers.”)
Indeed, though Young works from Interface’s office in San Francisco’s Financial District, his hard hat sits on a table not far from his desk, ready for the next site visit. (Agarwal suggests Young could use a little more down time in his life, recalling a recent call where Young told her that he hadn’t seen the sun all day.)
The company now has eight employees – five in the office, three remote – mostly engineering hires, plus an operations person who started just this week. Interface’s biggest challenge is hiring fast enough to keep up with demand, a problem that requires its small team to tap networks across both Europe and the US.
As for what Young makes of the life in San Francisco he wanted and is now living, he marvels at how accurate the Silicon Valley stereotypes turned out to be. “You see people online talking about, ‘Oh, you go to a park and the person sitting next to you has raised $50 million building some insane AI agent.’ But it is actually like that,” he says. “I think back to what life was like in Trinidad. I mention these ideas to people back home, and they just don’t believe me.”
He occasionally makes time to go out in nature with friends – he says they went to Tahoe recently – and Interface hosts events like a hackathon they threw last weekend. But mostly, it’s work, and most of that work involves AI, just like everyone else’s in San Francisco right now.
Which makes the trips to oil rigs oddly appealing.
Indeed, that hard hat at the office isn’t just a practical necessity; it’s also a lure, suggests Young. For engineers tired of building “some low-impact B2B sales or recruiting tool,” as Young puts it, the promise of occasionally leaving the Bay Area bubble to work with operators in the field has become a recruiting advantage. Less than 1% of San Francisco startups work in heavy industry, he notes, and that scarcity is part of the appeal, for him and for the people he’s hiring.
It’s probably not quite the version of the Silicon Valley dream he spent his childhood chasing from Trinidad: long hours, intense pressure, endless AI discussions everywhere, punctuated by the occasional trip to an oil rig.
Still, for now, he doesn’t seem to mind it. “Over the last month or two months, I have not done much at all [outside the office], because there’s just been so much intensity here, with building, hiring, selling.” But “I feel pretty strong,” he adds.
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![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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