The One-Person Billion-Dollar Company Is Here

It used to take large teams and years to build a billion-dollar company. Now just one AI-savvy founder can scale it solo.

Matthew Gallagher launched Medvi, a GLP-1 telehealth startup, out of his Los Angeles home in September 2024 with just $20,000, no employees, and more than a dozen artificial intelligence tools.

Medvi posted $401 million in sales in its first full year, amassed 250,000 customers, and produced a 16.2% net profit margin, according to a Thursday (April 2) report in The New York Times. The company is now tracking toward $1.8 billion in 2026 revenue.

For context, Hims and Hers reported $2.4 billion in revenue last year with 2,442 employees and a net profit margin of 5.5%. Gallagher is running nearly three times that margin at Medvi with a headcount of two, after bringing on his brother Elliot as the company’s only hire.

The story backs a prediction long discussed in the tech space. OpenAI CEO Sam Altman told Reddit Co-founder Alexis Ohanian in early 2024 that he and his tech CEO peers maintained a betting pool for the year the first one-person billion-dollar company would emerge, calling it something that “would have been unimaginable without AI and now will happen.”

AI as Operating System

According to the NYT, Gallagher used AI to write platform code, produce website copy, generate images and videos for ads, and handle customer service, while also building AI systems to monitor business performance in real time.

The specific tools included ChatGPT, Claude and Grok for code and copy; Midjourney and Runway for ad creative; and ElevenLabs for voice-based customer communication, with custom AI agents connecting his disparate systems.

Gallagher outsourced the regulated components to CareValidate and OpenLoop Health, which handle licensed physicians, prescription processing, pharmacy fulfillment, shipping logistics and regulatory compliance, while Medvi retained ownership of the customer relationship: branding, website, paid media, checkout flow and service. That division of labor allowed him to concentrate entirely on growth while partners absorbed the compliance burden that typically consumes early-stage telehealth capital.

The setup had friction. According to the NYT report, Medvi’s customer service chatbot initially fabricated drug prices, which Gallagher honored, and hallucinated product lines that did not exist. Both required manual correction. The incidents point to a structural reality of the one-person AI company: the founder becomes the sole human backstop for every system failure, at any hour and at any scale.

A Replicable Model With Real Limits

Gallagher’s business model is not necessarily his invention.

Javelin Venture Partners managing director Alex Gurevich told Fortune in 2024 that the one-person unicorn may not build a native AI product, “but they will be world class at leveraging GenAI internally to turbo charge the start-up advantage,” he said.

The telehealth eCommerce model had been established for nearly a decade by Hims and Hers, Ro and other platforms. Gallagher thought the same playbook could be executed faster and cheaper by treating AI as a full-stack operator rather than a workflow add-on. He did not build new infrastructure. He rented existing infrastructure and optimized the customer-facing layer above it.

As covered by Fortune, analysts who have studied the one-person unicorn thesis note that consumer software companies, where a product can be built once and updated at regular intervals, are best positioned for this model. Industries with physical production requirements, enterprise procurement cycles, or deep regulatory complexity present a different set of constraints that artificial intelligence tools do not yet resolve.

According to Mirror Review, Medvi uses AI-first fundamentals to operate at a scale that would otherwise require hundreds of employees. The company works because the conditions were right: a consumer market with urgent demand, infrastructure available to rent and a growth lever that rewarded speed over scale.