MEDvidi’s Vasili Razhnou on Building a Profitable Healthcare Startup Without Burning Cash

Raising a $3 million seed round and never going back for more isn’t the typical healthcare startup trajectory. Most founders in the space burn through that amount refining a single feature, let alone building a national clinical operation. But Vasili Razhnou, co-founder and CEO of MEDvidi, used that early capital as a launchpad for a virtual mental health platform that now generates roughly $30 million in annual recurring revenue, serves patients across 36 states, and remains profitable.

Razhnou’s path to MEDvidi started more than 15 years ago with a scanner and a room full of paper medical records. Five healthcare startups and a recent stint at Stanford GSB later, he’s built an AI-enabled operating system that handles everything from clinical documentation to prescription workflows, all while keeping licensed clinicians in control of every medical decision. In this interview, he walks through the early days, the growth strategies that worked, a painful near-miss that forced a 35% workforce reduction, and why he believes MEDvidi’s long-term future looks more like Visa than a traditional telehealth company.

How much revenue and profit does the business generate?

We’re at roughly $30 million in ARR, growing about 100% year over year. That’s around 120,000 patient visits annually across 36 states.

We’re profitable, and we’ve been profitable while growing at that rate. We raised $2.8 million in seed capital in 2022 and haven’t raised since. Expansion has been funded from operating cash flow.

Tell us about yourself and your business.

More than 15 years ago, my journey started with a scanner and a room full of paper medical records. I changed one simple workflow: instead of storing patient charts in filing cabinets and storage rooms, we scanned them and made them available digitally. It seems obvious today, but that small automation dramatically changed how quickly our team could access information and serve patients. Since then, I have dedicated my career to finding outdated, manual processes in healthcare and rebuilding them to make care faster, safer, and more accessible.

I am Vasili Razhnou, founder and CEO of MEDvidi. I have founded five healthcare startups, operated multiple local clinics, and recently graduated from Stanford GSB SEP ’26. Together with my co-founder, Aliaksandr Kulitski, I built MEDvidi around a bold idea: mental healthcare should be accessible and affordable, while technology should allow clinicians to deliver better care to significantly more people.

What began with one scanner is now an AI-enabled virtual mental health clinic operating across 46 states, with approximately 100 licensed providers. We have helped hundreds of thousands of patients access mental healthcare. Behind the clinical service, we have built an AI-powered operating system that supports documentation, quality assurance, patient intake, prescription workflows, and administrative operations. MEDvidi is profitable, but the achievement I value most is proving that technology can expand access to mental healthcare while strengthening quality and clinical oversight.

How does your business make money?

MEDvidi primarily earns revenue by providing virtual psychiatric consultations and ongoing medication-management visits. Historically, most patients have paid directly for their care. We are now expanding access through insurance while maintaining cash-pay options where contracts and regulations allow.

We do not sell patient data or rely on advertising. Our business grows when patients choose MEDvidi for appropriate clinical care and continue treatment when it remains medically necessary and beneficial. Over time, we also see an opportunity to offer parts of our AI infrastructure to other healthcare organizations, helping clinicians work more efficiently while improving quality and compliance.

What was your inspiration for starting the business?

After years in healthcare, I saw the same problems repeatedly: patients waiting weeks or months for appointments, clinicians overwhelmed by administrative work, inconsistent quality controls, and a system that was expensive for everyone involved. Mental health was especially difficult because access was limited and stigma often prevented people from seeking help early.

I believed technology could solve more than the scheduling problem. It could make the entire care-delivery system more efficient. Our goal became to combine licensed clinicians with automation and AI, reducing administrative work while keeping every medical decision under human clinical supervision.

How and when did you launch the business?

I launched MEDvidi in 2019, during the early stages of the COVID-19 pandemic. Before MEDvidi, I had built and operated several local primary care clinics. Through those clinics, we saw how many patients were struggling with anxiety, depression, insomnia, ADHD, and other mental health conditions, while having very limited access to specialized care.

When COVID accelerated the adoption of telemedicine and regulatory changes made it possible to deliver more services remotely, we saw an opportunity to take what we had learned locally and build a national mental healthcare platform. We began expanding state by state, recruiting licensed clinicians, developing our technology, and gradually transforming the business from a network of local clinics into a national, AI-enabled virtual care organization.

How is the business funded? 

MEDvidi has raised approximately $3 million in outside capital. Compared with many healthcare technology companies of a similar scale, we have been very capital-efficient. Most of our growth has been funded through revenue generated by the business.

We are now profitable and cash-flow positive. That discipline has been important because it allowed us to build for long-term sustainability rather than depending on continuous fundraising.

How did you find your first few clients or customers?

MEDvidi acquired certain assets and online properties from healthcare startups I had previously founded. We also continued operating local clinics for a period of time. That foundation gave us our initial operating infrastructure, brand visibility, and first group of patients.

Our existing online presence also helped us reach people who were actively searching for mental healthcare. From there, we invested in condition-specific educational content and digital patient-acquisition channels. We focused on clearly explaining what we treated, how virtual care worked, and what patients could expect from the clinical process.

As we expanded nationally, repeat visits, patient referrals, and our reputation became increasingly important. Healthcare requires trust, so sustainable growth depended on delivering a consistent experience after the first appointment, not simply acquiring more website traffic.

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What was your first year in business like?

The first year was intense. I was working most of my waking hours across strategy, recruiting, marketing, finance, product, and operations. In an early-stage healthcare company, there is no clean separation between building the product and building the organization. The clinical service, technology, compliance framework, and operational workflows all have to develop together.

We generated revenue relatively early, but revenue did not mean the model was solved. Many processes were still manual, provider availability was inconsistent, and every expansion into a new state introduced new operational and regulatory considerations. We constantly had to decide what to build, what to handle manually, and what not to offer yet.

The biggest lesson from that period was that healthcare punishes superficial execution. A nice website and strong marketing may create initial demand, but they cannot compensate for poor clinical operations, inadequate provider capacity, or a weak patient experience.

What strategies did you use to grow the business?

First, we stayed focused on areas where patients had urgent, underserved needs and were already actively looking for care. Rather than offering every possible mental health service at once, we built focused patient journeys for specific conditions. That made our messaging clearer and helped us develop more consistent clinical and operational workflows.

Second, we treated provider capacity as a core growth function. Demand means very little if patients cannot get an appointment. We invested in recruiting licensed clinicians, expanding state coverage, forecasting demand, and matching provider supply with the states and conditions where patients needed us most.

Third, we measured the entire patient journey. We looked beyond revenue to appointment availability, conversion, clinical eligibility, follow-up behavior, satisfaction, provider utilization, response time, and cost to serve. When growth slowed, we tried to identify the system’s primary constraint instead of launching many disconnected initiatives.

Fourth, we introduced AI directly into production workflows. Our AI tools draft clinical documentation, review charts against protocols, assist with intake verification, support prescription workflows, and automate administrative communication. Clinicians remain responsible for reviewing the information and making every clinical decision. These tools reduced documentation time, expanded provider capacity, and allowed us to review nearly every visit for quality rather than relying on small manual samples.

Finally, we remained financially disciplined. We have made mistakes, but we learned not to confuse spending with progress. Sustainable unit economics, short feedback cycles, and the willingness to stop projects that were not working allowed us to grow fast after raising only about $3 million.

What was the biggest challenge you had to overcome?

One of our most difficult periods followed an aggressive attempt to transform the company too quickly. We made a senior executive hire, expanded spending, and pursued several changes before the underlying assumptions had been sufficiently validated. Within approximately two months, we had consumed a significant portion of our reserves, growth stalled, and we eventually had to reduce the workforce by roughly 35%.

Recovering took close to a year. The experience changed how I lead. Senior executives still need room to act, but major transformations also need clear milestones, financial guardrails, and alignment across functions. Trust is important, but trust should never replace visibility and accountability.

What have been the most significant keys to your business’s success?

The first key has been persistence. Healthcare companies rarely grow in a straight line. Regulations change, providers leave, acquisition channels become more expensive, and operational weaknesses become visible as volume increases. We kept learning and rebuilding instead of expecting one strategy to work forever.

The second has been combining clinical judgment with operational discipline. Growth cannot come at the expense of patient safety, but compliance also should not become an excuse for accepting inefficient systems. The best solutions improve access, quality, and efficiency at the same time.

The third has been using AI to redesign workflows rather than simply adding a chatbot to the business. AI creates meaningful value when it removes repetitive work, gives clinicians better information, and makes quality more measurable.

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Tell us about your team.

MEDvidi brings together approximately 100 licensed providers and a product and engineering organization of about 60 people. They are supported by distributed teams across clinical operations, patient support, compliance, marketing, finance, and other business functions. We use a combination of full-time employees and contractors, with most of the organization working remotely.

We consider MEDvidi a product-led healthcare organization, with innovation at the core of how we operate. Our product, engineering, clinical, and operational teams work closely together to redesign healthcare workflows rather than simply digitize existing ones. At the same time, clinical care remains clinician-led. We give teams significant autonomy to innovate while maintaining strong controls around patient safety, clinical quality, regulatory compliance, security, and financial risk.

How did you make the transition from side hustle to full-time?

MEDvidi was never a casual side hustle, but the transition still happened through evidence rather than one dramatic moment. I needed to see that patients had a real unmet need, that they were willing to pay for a better solution, and that we could recruit clinicians capable of delivering care responsibly.

Once we had that evidence, the opportunity required full commitment. Healthcare is too operationally and regulatorily complex to build passively. I moved my attention fully into the company and accepted that, for a period, nearly every important problem would eventually reach me.

What was the turning point when you knew your business was successful?

There was no single moment when I felt the business was permanently successful. Founders are usually more aware of what could break next than of what has already been achieved.

However, an important turning point came when MEDvidi was able to grow more than 100% year over year while improving efficiency and remaining profitable. That showed us that our technology and operating model could produce real leverage. We were no longer simply adding people in direct proportion to patient volume.

What is the most important lesson you’ve learned growing the business?

The most important lesson is that growth magnifies both strengths and weaknesses. If the underlying process is strong, growth creates leverage. If it is weak, growth creates a larger and more expensive problem.

I have also learned that leaders must create guardrails without suffocating initiative. Teams need freedom to innovate, but material decisions should have clear owners, measurable outcomes, financial limits, and predefined points where the company will reassess the strategy.

What separates your business from your competitors?

Many companies are either healthcare providers using conventional software or technology companies selling tools to healthcare providers. MEDvidi is building both the care-delivery organization and the AI operating layer underneath it.

We have a multistate clinical network, significant real-world patient volume, and AI systems embedded in daily clinical and administrative workflows. A competitor can purchase access to the same foundation models we use, but it cannot instantly replicate our provider network, operational knowledge, clinical protocols, regulatory infrastructure, or years of experience delivering care at scale.

Another important competitive advantage is the proprietary data generated through our platform. Every patient journey produces valuable clinical and nonclinical operational data, including information about care pathways, treatment patterns, follow-up behavior, provider workflows, quality controls, and administrative bottlenecks. When governed appropriately and used within privacy and compliance requirements, this data can help us improve decision-making and develop increasingly capable specialized AI systems.

The more care we responsibly deliver, the more we learn about what works, what creates risk, and where clinicians need additional support. We believe this feedback loop will allow our AI to become more accurate and useful over time in ways that a general-purpose model or a software company without its own clinical operations cannot easily reproduce.

Most importantly, our model keeps licensed clinicians in control. AI helps collect and organize information, identify inconsistencies, automate documentation, and verify that appropriate safeguards have been followed. The clinician remains responsible for the diagnosis and every treatment or prescribing decision.

What advice do you have for other entrepreneurs?

Start with a painful problem, not with a technology. Talk to customers until you understand what they are actually trying to accomplish, and then measure their behavior rather than relying only on what they tell you.

Stay close to unit economics from the beginning. Revenue growth can hide a weak business model, and fundraising can delay difficult decisions without solving the underlying problem. Capital efficiency gives founders more time, more control, and more strategic options.

Finally, identify the most important constraint in your business. Most companies do not suffer from a shortage of ideas. They suffer from too many initiatives competing for attention while the real bottleneck remains unresolved.

What is your favorite quote?

One quote I often return to is attributed to Eliyahu Goldratt: “Tell me how you measure me, and I will tell you how I will behave.”

This is especially important in healthcare. Poorly designed metrics can encourage the wrong behavior even when people have good intentions. The goal is to create incentives that reward access, quality, appropriate care, and sustainable outcomes together.

What are your future plans for the business?

Our long-term goal is to build the trusted AI infrastructure for prescribing. I often compare the vision to Visa in financial services. Visa created trusted rails and standards for transactions. We want MEDvidi to create a similar layer of trust for prescribing, particularly for medications that require greater oversight.

A “MEDvidi-verified” prescription should mean that the appropriate safeguards were completed: the patient’s identity was verified, relevant history was reviewed, required databases were checked, contraindications and potential interactions were considered, and the prescribing decision was evaluated against clinical protocols. It would not mean that medicine is completely without risk. It would mean that the prescription followed a consistent, transparent, and auditable process designed to reduce avoidable risk for patients, clinicians, pharmacies, and healthcare organizations.

AI will support this process by organizing patient information, identifying missing data, flagging inconsistencies, and checking the proposed treatment against relevant clinical and regulatory requirements. Licensed clinicians will continue to make and approve all medical decisions. Our goal is to help them make those decisions with better information, greater consistency, and significantly less administrative work.

We are beginning with mental health because it is an area where access is limited and prescribing can be complex, especially when controlled medications are involved. Over time, we believe the same infrastructure can support the safe prescribing of controlled substances and other higher-risk medications across additional specialties. Once the core verification infrastructure is established, we can develop and validate specialized models for new conditions without rebuilding the entire system each time.

On the patient side, we plan to expand access through insurance, strengthen continuity of care, and support a broader range of appropriate health services. Ultimately, we want MEDvidi to become a trusted standard showing that technology can make prescribing more accessible and efficient while also making it safer and more accountable.

If you had to start from scratch, where would you begin?

If I were starting a new healthcare business today, I would likely begin with sleep health and the early identification of sleep apnea. Many people do not realize how poorly they are sleeping or how much untreated sleep problems can affect their energy, productivity, cardiovascular health, mood, and overall mental state.

I would build a simple platform that helps people track their sleep, recognize potential warning signs, and connect with a qualified clinician when the data suggests that further evaluation may be appropriate. The goal would not be for an app to diagnose sleep apnea independently, but to identify people who may benefit from proper testing and medical consultation.

I would still follow the same principles we used at MEDvidi: begin with one clearly defined and underserved problem, validate that patients want the solution, recruit strong clinical and compliance leaders early, and measure the entire patient journey from the first day.

I would also build AI into the workflow from the beginning. AI could help organize sleep data, identify patterns, support patient education, and prepare information for the clinician. Humans would remain responsible for diagnosis and treatment decisions, with clear quality controls established before the business began scaling.

Finally, I would preserve capital until the company demonstrated repeatable demand, healthy unit economics, and operational consistency. Scaling before those elements are established is one of the fastest ways to turn a promising healthcare idea into an expensive failure.

What are some of your favorite books, blogs, podcasts, or YouTube channels?

One book that has strongly influenced how I operate is The Goal by Eliyahu Goldratt. Its focus on identifying and managing constraints applies directly to scaling a healthcare company. I also value High Output Management by Andrew Grove, The Hard Thing About Hard Things by Ben Horowitz, and The Innovator’s Dilemma by Clayton Christensen.

I regularly follow healthcare, technology, and AI research, along with content from Stanford Graduate School of Business. I also enjoy long-form founder and company-building conversations, including podcasts such as Acquired and The Twenty Minute VC, because they explore the decisions and mistakes behind companies rather than only their final outcomes.