9 months in the past, Sam Brown was out of a job. The explanation, he’ll let you know and not using a sense of bitterness, was synthetic intelligence. The corporate he’d spent years constructing a profession inside determined it wanted fewer individuals, and he was one in all them.
“I got laid off nine months ago, and it was AI-related,” stated Brown, 48, with a profession that stretches again to 2000, apart from just a few months as a ball boy for the Denver Nuggets in his youth. “I had to sit there and say, ‘This is a blessing, because I get a head start on everyone else that’s going to have to go through this in a little while.’”
He didn’t spend lengthy feeling sorry for himself. As an alternative, Brown joined a three-person startup with no enterprise funding, no engineering workforce, and no conventional software program infrastructure. What they did have have been 12 AI brokers.
$300 in, $300,000 out
Fathom AI, an Austin-based gross sales enablement platform constructed particularly for the medical aesthetics business, launched in early 2026. Inside 12 weeks, it achieved an estimated annual recurring income of $300,000, gross margins north of 90%, and working prices underneath 10% of income, in line with data reviewed by Fortune. And the overall capital invested to start out the corporate was simply $300.
“We launched 2.5 months ago, and right now, we have $300,000 in ARR,” stated Brown, who manages the three-person firm’s funds because the president of Fathom AI.
The corporate has taken no outdoors funding. When enterprise capitalists got here calling, Fathom acquired all the way in which to the end line on a time period sheet and walked away—not as a result of the deal was unhealthy, however as a result of they genuinely couldn’t determine what they’d spend the cash on.
“The VC said, ‘You’re going to need an engineering team of this size, a customer success team of this size,’” Brown recalled, including that when he and Fathom’s founder and CEO Ben Hooten walked out of the assembly, they mainly stated, “We’re not going to need that.”
courtesy of Fathom AI
By year-end, Fathom tasks $5 million in ARR throughout 15 to 18 enterprise prospects. The workforce is structured as a partnership particularly to distribute earnings now, a deliberate determination to receives a commission slightly than maintain out for a distant exit in a market none of them can predict.
Brown defined to Fortune that the partnership is actually like gathering a paycheck. “We’d rather take the money now and then, there’s not a lot to reinvest in, because we don’t have huge costs.”
“Hell,” added Dan Crump, the senior member of the trio, at 56 years previous, “we got paid today, as a matter of fact. We’re cash-flow positive.”
The skeptic who turned the proof
Kirk Gunhus has been within the medical aesthetics business for 30 years. He has grey hair and, by his personal cheerful admission, is “not a technology guy.” He wasn’t when Fathom AI first pitched him on switching distributors.
The origin story begins with a annoyed rant. The CEO, Hooten, then nonetheless a gross sales rep, was sitting in one in all Gunhus’ conferences when Gunhus, a few beers in, unloaded on the state of gross sales expertise. “You’ve got all this stuff here, and none of it really works well,” Gunhus stated. “Someone needs to just put it all together, so when I walk into a zip code, I know exactly what accounts are perfect for us to go after.”
He forgot about his rant instantly, however Hooten didn’t. Gunhus stated he acquired a name the very subsequent weekend from Hooten, who stated he put a plan collectively.
Gunhus agreed to a pilot with six gross sales reps. The corporate, he stated, couldn’t afford the subscription, however each a type of six reps paid individually to work with Fathom AI. That’s “because it works,” Gunhus stated. “It’s making them so much money.”
The outcomes bore him out. In all of 2024, one in all Gunhus’ consulting purchasers, Tiger Aesthetics, didn’t open a single web new account. Inside one quarter of deploying Fathom, he stated that they had opened 225. “The bosses over at Tiger are like, ‘[Give them] whatever they want.’ They just saved a ton of money.”
The medical aesthetics business is a multibillion-dollar world of plastic surgeons, dermatologists, med spas, and machine producers and, in line with Fathom AI and their clientele, it’s ripe for disruption. Gross sales have traditionally been solely guide. Reps cold-called, drove routes blind, and relied on reminiscence and instinct to determine who to see and when.
Fathom replaces all of that. A rep enters a zipper code, and the platform surfaces each close by account that matches their product profile, ranked by match. It layers in real-time Google search knowledge so a rep can stroll into a physician’s workplace and say, with specificity, what that doctor’s sufferers are looking for. It additionally serves as a stay coaching device: new hires roleplay gross sales eventualities in opposition to an AI that corrects their approach in actual time, flagging fallacious solutions and asking follow-up questions.
The workforce that isn’t alleged to exist
Hooten, the CEO and the junior member of the group at 39, defined to Fortune that his 12 agent co-workers maintain actual operational roles—one runs buyer success for a nationwide gross sales pressure; one other wakes up each two hours to scan the aggressive panorama and file a briefing.
His background was in gross sales, not software program, Hooten defined, and so he appears on the AI agent period as an opportunity to construct issues that he by no means had the talents to, earlier than. When a colleague instructed him that he couldn’t construct an automatic gross sales device that really labored, he constructed it anyway, and on his first day utilizing it within the subject, he closed $440,000 in a single day.
Gunhus stated he had firsthand expertise with the customer support bot: a Tiger Aesthetics rep known as with a assist subject, was walked by the answer by what they believed was Hooten on the road, and had no concept they’d been speaking to an AI. “The rep has no idea what’s going on, literally.”
courtesy of Fathom AI
Crump, the senior member of the group, at 56 years, is a former Marine with many years in tech gross sales expertise at corporations together with GE and IBM. He has watched each main tech cycle from the early web to the smartphone period. He recalled one morning about 25 years in the past visiting Enron, when he was working as a gross sales rep for HP, the precise time when the well-known accounting fraud was going belly-up. “The elevator door opened, and a lady had a plant and a Herman Miller chair, and she was rolling it out of there, cussing,” Crump recalled. “I go up, and my buddy says, ‘Hey, somebody just tried to throw a chair through the window.’” He’d been on the telephone together with his supervisor minutes earlier to substantiate Enron owed his firm $27 million—and that it had cleared the Friday earlier than. “So I was like, ‘Okay, thank God we’ll get paid,’” he stated. “I’ve seen a lot of stuff.”
On this business, he added, generally tech gross sales is “just uninspiring.” With Fathom, he stated he seems like they’re making “something that makes a difference.”
The 23-year-old parallel
Fathom isn’t the one small workforce rewriting the economics of what an organization might be. Half a continent away, in Toronto, Yatharth Sejpal is working a strikingly related experiment, and he’s 23 years previous.
Sejpal is the CEO of KNOWIDEA, a predictive intelligence platform that advises executives on decision-making. He has no pc science background—”by no means written a line of code in my life,” he stated—however inside six months of launching he stated he has closed $500,000 in ARR with six enterprise purchasers spanning vitality, manufacturing, skilled providers, and monetary providers. He co-founded the agency with Brian Zhengyu Li, who’s finishing a PhD and beforehand labored as an utilized scientist intern at Amazon Internet Companies.
Like Fathom, KNOWIDEA is a three-person operation. And like Fathom, Sejpal handed on early VC cash. “If I wanted to exit, I would have taken VC money really quickly,” he stated. He turned down a spot in Antler, one of many world’s largest startup accelerators, as a result of he didn’t need to dilute fairness earlier than proving his mannequin. As an alternative, he took a strategic funding examine, from a consulting agency, not a enterprise fund, at a $15 million valuation.
His pitch to enterprise purchasers is sort of a philosophy as a lot as a product. “Leaders need clarity,” Sejpal instructed Fortune from a lodge room (he stated he spends practically all his time touring). “That’s it. There is no other reason, a dashboard, a report, all of it is just to bloody get clarity.” His platform ingests decentralized knowledge and produces ranked, risk-weighted insights for C-suite decision-makers.
Crucially, Sejpal is cautious about what his platform received’t do. On the query of AI hallucinations, a persistent concern amongst executives contemplating high-stakes AI instruments, he attracts a transparent line. “At the core of decision-making is clarity plus judgment,” he stated. “Our job is to give clarity. Your job is to make the judgment.” His system flags predictions that deviate dramatically from market norms and filters them out earlier than they attain a shopper.
Sejpal, who grew up in India and moved to Canada to attend the College of Waterloo, spent years inside a number of the largest individuals consulting companies on the earth earlier than deciding the business was ripe to be disrupted. His imaginative and prescient of the place the three-person firm mannequin leads is extra radical than his present headcount suggests. He doesn’t assume three-person groups are the endgame: he thinks they symbolize the start of a complete restructuring of how work will get organized.
“I don’t want to ever hire an account executive or a customer success manager,” he stated. “The only two roles that we want to hire are FDEs and FDCs, forward deployed engineers and forward deployed consultants.” One one who understands what knowledge to pick, and one who understands what context to use. “Everything else,” he stated, “can be automated using artificial intelligence.”
That logic extends to his bigger argument concerning the enterprise. Take 20-person undertaking groups, for instance: “I think that is going to slim down to a two-person team. FDC plus FDE can do all of the work, and then one supervisor who can overlook. That’s it. It’s as non-complicated as that.”
It hasn’t been as profitable for Sejpal because it has for the Fathom co-founders, however he’s not involved about that but. His financial savings dwindled for months till the spring of 2026, when he lastly began drawing a wage, however he cheerfully stated that his pleasure about what he’s doing is greater than sufficient for him. “If I if I wanted to make money, there are much simpler, less strenuous, mentally and body-exhausting tasks that I can do. I’m worried every single night, I have night sweats thinking how I’ll make salary for my employees, how I’ll grow my team and 20 other headaches. I could have made much more money without having a single of those stress.”
Dramatic implications
Brown was cautious to say that the Fathom story isn’t primarily about Fathom. It’s about what Fathom represents: the primary wave of a a lot bigger shift in who will get to construct a software program firm and who has the benefit doing it. The truth is, because of AI, companies have exploded in recent times, and it appears like there’s no probability of stopping what improvements can come subsequent, in line with monetary agency Apollo.
The VC mannequin was constructed across the assumption that you just wanted large capital to construct expertise: engineering groups, buyer success departments, gross sales headcount. That assumption is now structurally damaged. A platform that when required $10 million in seed funding to employees might be assembled by three skilled operators and a collection of AI brokers for the price of a dinner out.
That modifications who wins. Gunhus, for his half, stated he’s not fascinated by launching his personal three-person AI startup. “I’ve done all that, I don’t want to go through all that mess again.” However he’s watching rigorously and telling everybody he is aware of to concentrate to the AI agent revolution. “If you don’t use it,” he stated, “it’s gonna run you over anyway.”
That’s kind of the identical conclusion Sam reached 9 months in the past, sitting with a pink slip and a call to make about what got here subsequent. He doesn’t sound like a person who was laid off. He appears like a person who acquired fortunate.
“Everyone’s going to have to go through this to some extent,” Sam stated. “I just think I got to go through it a little earlier than most.”
