Medvi is reportedly on track to generate $1.8 billion in revenue with only two employees. The story sounds like final confirmation that AI can replace entire companies. But behind the headline lies a more interesting reality: an extremely small core team, a large network of external partners, and a founder who has learned how to connect technology, expertise and resources faster than a traditional organisation.
It is the kind of headline that makes entrepreneurs and business leaders stop and pay attention: one man and his brother have used artificial intelligence to build a company worth $1.8 billion. It suggests that we have already reached the point where two people, a few AI subscriptions and a laptop can replace hundreds or even thousands of employees.
But we need to begin by correcting that impression. Medvi does not have a publicly confirmed valuation of $1.8 billion. Nor was the company literally built by only two people. According to Erin Griffith’s article, originally published by The New York Times and republished by The Star, the company is on track to generate $1.8 billion in revenue during 2026.
Medvi has two employees, but it also relies on contract engineers, advertising agencies, lawyers, accountants and external platforms that provide doctors, pharmacies, customer service, distribution and regulatory compliance.
This is therefore not a story about humans becoming obsolete. It is about how a very small core team can coordinate an enormous ecosystem of people, systems and suppliers.
From $20,000 to $401 Million in Revenue
Matthew Gallagher was not an inexperienced beginner when he founded Medvi. He had been programming since his youth and had already run several businesses. His previous venture, a watch subscription company, had around 60 employees but never became profitable.
That experience probably taught him an important lesson: a large workforce and high revenue are not necessarily signs of a healthy or functional business.
When Gallagher launched Medvi in the autumn of 2024, he chose a completely different model. With approximately $20,000 in startup capital and more than a dozen AI tools, he built the digital structure the company needed in just two months.
AI was used to write code, produce website copy, generate images and advertising videos, manage customer service, and analyse the company’s performance. Gallagher also created his own AI agents to help different software systems communicate with one another.
He did not, however, build the medical infrastructure himself. Platforms such as CareValidate and OpenLoop could already connect patients with doctors and pharmacies, manage prescriptions and deliveries, and handle parts of the regulatory process.
Gallagher placed Medvi on top of this existing infrastructure and concentrated his own efforts on branding, customer acquisition, technical integration and creating a purchasing journey with as little friction as possible.
The timing was almost perfect. Demand for GLP-1 weight-loss drugs was enormous in the United States, and many customers were looking for a cheaper and easier way to access treatment without attending a traditional doctor’s appointment.
Medvi attracted 300 customers in its first month and another 1,000 in its second. During its first full year in business, 2025, the company reportedly generated $401 million in revenue and acquired 250,000 customers. Its net profit was said to be $65 million, representing a margin of 16.2%.
Only after reaching this scale did Gallagher hire his younger brother, Elliot. His role includes intercepting and filtering communication so that the founder can focus on the areas where his time creates the greatest impact.
AI Does Not Replace the Company – It Compresses the Organisation
Medvi demonstrates what happens when administrative and creative functions can be purchased as services, automated or connected digitally.
In the past, a growing company would build its own departments for IT, marketing, customer service, finance and administration. Today, a founder can connect specialised platforms and allow AI to manage large parts of the information flow between them.
This is a form of organisational compression. The work does not disappear, but fewer people need to sit within the walls of the same company.
The doctors are still there. Someone processes the prescriptions, someone operates the pharmacies, someone packages the medication, someone delivers it and someone remains responsible for the technical systems. The difference is that these resources can be shared by many companies and activated when required.
The number of employees is therefore no longer an adequate measure of a company’s true size. Medvi may have only two employees, but its operations depend on an extensive human and technological network. It is more accurate to describe the company as a small command centre operating on top of a large, distributed production system.
This is also where Gallagher’s real competence becomes visible. The AI tools and telehealth platforms were available to other entrepreneurs as well. His advantage was his ability to understand how the different parts could be connected, where friction existed and which functions the company did not need to own.
When Speed Meets the Responsibilities of Healthcare
Medvi’s story also contains clear warning signs. Its AI-powered customer service system sometimes invented prices, which the company subsequently chose to honour. It also claimed that Medvi sold products that were not actually available.
The company’s early marketing used images of models that appeared to be AI-generated, altered before-and-after photographs and media logos that could give the impression that Medvi had received editorial coverage when it had merely advertised in those publications.
These problems would be serious in any industry, but they are particularly concerning in healthcare.
An incorrect answer about the size of a shirt is annoying. An incorrect answer about prescription medication, its price or a medical treatment could influence someone’s health and financial decisions.
This reveals the limitations of total automation. AI can scale communication, but it can also scale mistakes. It can make a good process extraordinarily efficient, but it can just as quickly turn an unclear system of responsibility into something dangerous.
The fewer people there are in the core organisation, the clearer its responsibilities, safeguards and routes to human assistance must become.
As complexity increased, Gallagher was forced to bring human expertise back into the organisation. Customer calls were transferred to external teams. A basic online legal service was replaced by a law firm. AI-based accounting was supplemented by an accounting firm. Advertising agencies were hired to manage media buying, while engineers were brought in on a contract basis.
AI can therefore reduce the cost of launching, testing and scaling a company, but it does not eliminate the need for specialists. It changes when those specialists are needed and how they become involved.
What Other Entrepreneurs Can Actually Learn
The most important lesson from Medvi is not that entrepreneurs need more AI tools. Gallagher combined programming and marketing expertise with a clear market opportunity and suppliers that had already solved the most heavily regulated parts of the business.
The first lesson is to identify the correct bottleneck instead of trying to automate everything. The question is not simply what AI can do. The real question is what prevents an idea from working and whether technology or an external partner can remove that specific obstacle.
The second lesson is to distinguish between having access to expertise and owning it internally. A company needs access to legal, financial, technical and distribution capabilities, but it does not always need to employ everyone performing those tasks.
Responsibility, however, cannot be outsourced. Customers will still hold Medvi accountable regardless of which system or subcontractor made the mistake.
The third lesson is that control systems must be built as quickly as sales grow. Customer service systems must be tested. Prices and medical claims must come from verified sources. Access to human support must be simple. Marketing must remain truthful even when AI can create convincing content in seconds.
Finally, small teams require exceptionally clear priorities. Elliot Gallagher’s role is strategic because he protects the founder’s attention. Deciding what genuinely requires the decision-maker’s involvement and what can be handled by the system is now a central management function.
A New Role for the Generalist
For a long time, the labour market has rewarded specialisation. The new AI economy does not make specialists less important, but it increases the value of people who can move between different disciplines and understand how the parts affect one another.
A generalist with sound judgement, industry knowledge and the ability to ask good questions can use AI to access a breadth of capability that once required an entire management team.
This does not mean that anyone can automatically build a billion-dollar business. Gallagher had experience, technical knowledge, marketing expertise, a high tolerance for risk and an almost extreme capacity for work. He also found the right product at precisely the right moment.
AI was a force multiplier, not a replacement for these conditions.
But the barrier to entry has been lowered. A project manager, creative professional or entrepreneur no longer needs to wait until an entire organisation is in place.
An idea can be visualised, tested and brought to market before a traditional company has completed its first recruitment process. This creates opportunities for people who are skilled at recognising connections and getting existing resources to work together.
The Great Shift Is Not Fewer People, but New Ways of Organising Them
Medvi does not prove that the companies of the future will have no employees. It demonstrates how the boundaries between a company, its suppliers, its platforms and its AI systems are beginning to dissolve.
The formal organisation can become microscopic while the actual operation remains global and extensive.
This will affect how we measure productivity and talk about work. A company with two employees can generate enormous revenue, but it can also transfer work, costs and risks to other businesses.
Revenue per employee may reveal a great deal about financial leverage, but much less about how many people are actually required to deliver the service.
The most interesting question is therefore not whether Gallagher has built a “one-person company” worth $1.8 billion. According to the available information, he has not.
The important question is how one person managed to coordinate technology, market demand and external expertise so effectively that two formal employees could control a business serving hundreds of thousands of customers.
The answer is AI, but only partly.
The rest is experience, timing, systems thinking, partnerships and the ability to recognise a functioning whole before it becomes obvious to everyone else.
The strongest entrepreneur of the future will not need to work alone or know everything. But they will need to understand what should be connected, what must be controlled and which responsibilities can never be handed over to an algorithm.
This article is based on Erin Griffith’s reporting for The New York Times, republished by The Star on April 11, 2026. The figures concerning Medvi’s revenue, customer numbers and profitability were provided by the company and, according to the report, reviewed by The New York Times. Medvi is privately held and does not have a publicly confirmed valuation.
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