This founder was fired from AI nine months ago. He then founded a company with two partners and 12 agents.

“I was laid off nine months ago and it was AI-related,” said Brown, 48. His career dates back to 2000, except for a few months as a ball boy for the Denver Nuggets when he was younger. “I had to sit there and say, ‘This is a blessing because it gives me a head start on other people who are going to have to go through this.'”

It didn’t take him long to feel sorry for himself. Instead, Brown joined a three-person startup with no venture funding, no engineering team, and no traditional software infrastructure. What they actually had was 12 AI agents.

$300 deposited, $300,000 out

Fathom AI, an Austin-based sales enablement platform built specifically for the medical aesthetic industry, launched in early 2026. luck. And the total capital invested to establish the company was only $300.

“We started two and a half months ago and our ARR right now is $300,000,” said Brown, who as president of Fathom AI manages the finances of the three-person company.

The company receives no external funding. When the venture capitalist came calling, Fathom finished the term sheet and left. Not because the deal was bad, but because I didn’t really know what I was going to spend the money on.

“The venture capitalists said, ‘We need an engineering team this size, we need a customer success team this size,'” Brown recalled, adding that when he and Fathom founder and CEO Ben Hooten came out of the meeting, they basically said, “We don’t need any of that.”

Fathom projects that 15 to 18 enterprise customers will have $5 million in ARR by the end of the year. This team is structured as a partnership dedicated to sharing profits at this time, a deliberate decision to receive compensation rather than endure a distant exit in a market that no one can predict.

Brown explained: luck A partnership is essentially like receiving a salary. “We’d rather take the money every once in a while. Since we don’t have a lot of costs, we don’t have much to reinvest.”

“It’s crazy,” added Dan Crump, 56, a senior member of the trio. “Actually, we got paid today. Our cash flow is positive.”

Skeptics as evidence

Kirk Gunhus has been in the medical aesthetic industry for 30 years. He has gray hair and, by his own hilarious admission, is “not an expert in technology.” When Fathom AI first pitched him about switching vendors, he wasn’t interested.

The origin story begins with a frustrated rant. CEO Hooten, still a sales executive at the time, was sitting in one of Gunhus’ meetings when Gunhus had a few beers and explained the state of sales technology. “We have all this stuff here, but none of it really works,” Ganhas said. “Someone has to put everything together so when you get into your zip code, you know exactly which accounts are best to track.”

He quickly forgot his rant, but Hooten did not. Ganfus said Hooten called him the following weekend and made plans.

Gunhus agreed to a pilot with six salespeople. He said the company couldn’t afford a subscription, but all six people paid individually for Fathom AI. That’s because “it works,” Ganhas says. “It’s very lucrative for them.”

He was disgusted when he saw the results. Throughout 2024, one of Gunhus’ consulting clients, Tiger Aesthetics, did not open a single net new account. Within a quarter of deploying Fathom, they had 225 open, he said.[Give them] whatever they want. ‘They just saved a ton of money. ”

The medical aesthetics industry is a multibillion-dollar world involving plastic surgeons, dermatologists, medical spas, and device manufacturers, and according to Fathom AI and its customers, it’s ripe for disruption. Up until now, sales have been completely manual. Agents made cold calls, blindly drove routes, and relied on memory and intuition to figure out who to meet and when.

Fathom replaces them all. When a representative enters a zip code, the platform displays all nearby accounts that match the product profile, ranked by suitability. By overlaying real-time Google search data, a representative can visit a doctor’s office and tell them exactly what the doctor’s patients are searching for. It also acts as a live training tool. New hires role-play sales scenarios to the AI, which corrects their techniques in real-time, flags incorrect answers, and asks follow-up questions.

A team that shouldn’t exist

Mr. Hooten, 39, CEO and a junior member of the group, explained: luck His 12 agent colleagues have actual operational roles, including one in customer success for the national sales force. Another wakes up every two hours to skim the competitive landscape and submit an explanation.

Hooten explains that because his background is in sales, not software, he sees the age of AI agents as an opportunity to build something he didn’t previously have the skills for. When his colleagues told him he couldn’t build a vending tool that actually worked, he built it anyway, and the first day he used it in the field, he closed $440,000 in one day.

Gunhus said he has first-hand experience with customer service bots. When a representative from Tiger Aesthetics called with a support issue, a person on the phone who appeared to be Hooten explained the solution, but he had no idea he was talking to an AI. “Literally, the people in charge have no idea what’s going on.”

Mr. Crump, a senior member of the group, is 56 years old and a former Marine with decades of experience in technology sales at companies such as GE and IBM. He has seen every major technology cycle, from the early internet to the era of smartphones. He recalled one morning, some 25 years ago, when he visited Enron, where he worked as a sales representative for HP, just as the famous accounting fraud scandal was in full swing. “The elevator door opened and a woman had a plant and a Herman Miller chair and was rolling it out of there while swearing,” Crump recalled. “When I got up, my friend said, ‘Hey, someone just tried to throw a chair through the window.'” He had been on the phone with his manager a few minutes earlier, confirming that Enron owed his company $27 million and that it had been liquidated the previous Friday. “And I was like, ‘Okay, thank God I’m going to get paid,'” he said. “I’ve seen a lot of things.”

Selling technology can sometimes be “not glamorous at all” in this industry, he added. As for Fathom, he said he feels he is creating “something that will make a difference.”

23 year old parallel

Fathom is not the only small team rewriting the economics of companies. Half a continent away in Toronto, 23-year-old Yasas Sejpal is conducting a strikingly similar experiment.

Sejpal is the CEO of KNOWIDEA, a predictive intelligence platform that advises executives on their decisions. Although he has no computer science background and “never wrote a line of code in my life,” he said, within six months of launching, he achieved $500,000 in ARR with six enterprise customers across energy, manufacturing, professional services, and financial services. He co-founded the company with Brian Zhenyu Li, who is completing his Ph.D. and previously worked as an applied scientist intern at Amazon Web Services.

Like Fathom, KNOWIDEA is run by three people. And like Fathom, Sejpal transferred some of its early VC money. “If I wanted to exit, I would have taken the VC money really quickly,” he said. He declined to join Antler, one of the world’s largest startup accelerators, because he didn’t want to dilute his capital before proving his model. In exchange, he received a strategic investment check valued at $15 million from a consulting firm rather than a venture fund.

His pitch to corporate customers is as much a philosophy as a product. “Leaders need clarity,” Sejpal said. luck from his hotel room (he said he spends almost all his time traveling). “That’s it. There’s no other reason. All the dashboards, all the reporting, it’s all just for clarity.” His platform ingests distributed data and generates ranked, risk-weighted insights for executive decision makers.

Importantly, Sejpal is careful about what he can’t do on his platform. He draws a clear line on the issue of AI illusions, a persistent concern among executives considering high-stakes AI tools. “The core of decision-making is clarity and judgment,” he said. “Our job is to be clear. Your job is to make judgments.” His system flags forecasts that deviate significantly from market norms and filters them out before they reach customers.

Sejpal, who grew up in India and immigrated to Canada to attend the University of Waterloo, spent years at some of the world’s largest talent consulting firms before deciding the industry was ripe for disruption. His vision for where the three-person company model is headed is even more radical than his current employee numbers suggest. He doesn’t think a three-man team is the end goal. We believe it is the beginning of a total restructuring of how work is organized.

“I never want to hire account executives or customer success managers,” he said. “There are only two roles we want to hire: FDE and FDC, forward-deployed engineers and forward-deployed consultants.” One person knows what data to select, and the other person knows what context to apply. “Everything else can be automated using artificial intelligence,” he said.

That logic extends to his larger discussion of corporations. For example, consider a project team of 20 people. “I think it will be slimmed down to a two-person team. The FDC and FDE can do all the work, and one supervisor can oversee the rest. That’s it. It’s not that complicated.”

It’s not as lucrative for Sejpal as his Fathom co-founder, but he’s not worried about that yet. His savings dwindled for several months before his paycheck finally started arriving in the spring of 2026, but he cheerfully says it’s enough to be excited about what he’s doing. “If you want to make money, there are many jobs that are simpler, less demanding, and less mentally and physically draining. I worry every night and get night sweats thinking about things like how I’m going to pay my employees and how I’m going to grow my team, but there are 20 other headaches I could have made without all of these stresses.”

dramatic impact

Mr. Brown was careful to say that Fathom’s story is not primarily about Fathom. It’s about what Fathom represents: the first wave of a larger shift in who can start a software company and who has an advantage in doing so. In fact, business has exploded in recent years thanks to AI, and there seems to be no stopping the next innovation, according to financial company Apollo.

The VC model was built on the premise that building technology requires large amounts of capital, including engineering teams, customer success departments, and sales people. That premise is now structurally broken. The platform, which once required $10 million in seed funding for staff, can be assembled by three experienced operators and a set of AI agents for the cost of a meal out.

That changes who wins. Gunhus said he has no interest in starting his own three-person AI startup. “After all that we’ve done, we don’t want to go through that mess again.” But he’s keeping a close eye, and he’s telling everyone he knows to be on the lookout for the AI ​​agent revolution. “If you don’t use it, you’ll get run over anyway,” he said.

That’s pretty much the same conclusion Sam reached nine months ago when she was sitting with her pink slip deciding what would happen next. He doesn’t seem like the guy who got fired. He seems like a lucky man.

“Everyone has to go through this to some degree,” Sam said. “I think I had to get over it a little earlier than others.”