Why We Chose the Studio Model Over a Traditional Fund

I've had the "fund vs. studio" conversation dozens of times now — with LPs in São Paulo, founders in San Francisco, operators in Lisbon. Every time, the question surfaces early: Why didn't you just raise a traditional fund?

It's a fair question. The venture fund model is proven, well-understood, and comes with an established playbook for fundraising, deploying, and returning capital. Hundreds of billions of dollars flow through it every year. The structure has minted some of the greatest wealth-creation engines in modern capitalism.

So why did we build AI Gens as a studio?

The short answer: because we believe the traditional fund model has a structural deficiency that no amount of "value-add" can fix. And because the data increasingly confirms what we felt intuitively — that studios don't just compete with funds, they operate in a fundamentally different category.

This is the long answer.

The Smart Money Gap

Let me start with a statistic that bothers me. According to PitchBook, 61% of founders rate their VC's value-add as below average. Sixty-one percent. That means the majority of founders who raised money from supposedly "smart" capital providers feel they got dumb money with a nicer term sheet.

This isn't because VCs are bad people. Most partners I know are brilliant, well-intentioned, and genuinely want their portfolio companies to succeed. The problem is structural.

A traditional fund manager's economics incentivize deploying capital widely. Management fees scale with AUM. Carry scales with portfolio size. A partner who sits on twelve boards cannot go deep on any single company. They can make introductions, provide strategic advice during board meetings, and share pattern recognition from past investments. All of this is valuable. None of it is sufficient.

The gap between what founders need and what funds can structurally provide is what I call the smart money gap. Founders need embedded operating partners. They need someone who understands their codebase, their hiring pipeline, their unit economics at a granular level. They need a co-builder, not a coach.

Peter Thiel wrote in Zero to One that the best opportunities come from doing something the incumbent structurally cannot do. Fund managers profit from deploying capital widely. They cannot build deeply — not because they lack the will, but because their economic structure won't allow it. A GP spending six months embedded in a single portfolio company is a GP neglecting their other eleven board seats.

This is counter-positioning in its purest form. And as Hamilton Helmer argues in 7 Powers, counter-positioning is only available during the origination stage — the moment when a new entrant can adopt a business model that the incumbent rationally cannot copy. That window is open right now in venture capital, and studios are walking through it.

What the Data Says

The intuition is one thing. The numbers are another. And the numbers are striking.

Studio-backed ventures achieve an average IRR of 53%, compared to 21.3% for traditional startups. That's not a marginal improvement — it's a 2.5x multiple on returns. For LPs who evaluate managers on IRR, this delta is difficult to ignore.

The survival numbers are equally compelling. 84% of studio-backed ventures secure seed funding, compared to 42% for conventional startups. Studios don't just build better companies; they build companies that survive the most critical transition in a startup's life — the moment when an idea has to become a funded business.

Why? Because studios de-risk the earliest stages. By the time a studio venture goes to market for its seed round, it already has a working product, initial customers, a tested business model, and — critically — a team that has been building together for months, not weeks.

And the broader market is catching on. Studios doubled from 6% to 13% of new emerging VC funds between 2024 and 2025. This isn't a fad. It's a structural shift in how the venture ecosystem allocates resources at the earliest stages of company creation.

The Structural Advantages

Let me be specific about what a studio can do that a fund cannot.

Embedded engineering. At AI Gens, our engineering team doesn't advise portfolio companies on technical architecture — they build it. Shared infrastructure, reusable components, and common tooling mean that each new venture starts from a higher baseline than the last. A fund partner can recommend a tech stack. A studio partner can ship the first version of the product.

Compounding intellectual capital. This is the core of our thesis: intellectual capital compounds faster than financial capital. Every venture we build teaches us something. The hiring playbook we developed for HOST360 informs how we recruit for MOONXI. The AI infrastructure we built for MOONXI becomes available to MUSTARD. The customer acquisition patterns from MUSTARD loop back into HOST360.

Financial capital is consumed when deployed. A dollar invested in Company A is a dollar not available for Company B. Intellectual capital works in the opposite direction — it multiplies with use. The more ventures we build, the more knowledge we accumulate, and the more valuable each subsequent venture becomes.

Speed through shared operations. A traditional startup needs to build its own finance function, HR function, legal infrastructure, and back-office operations from scratch. In a studio, these functions exist centrally and serve multiple ventures simultaneously. This isn't just a cost savings — it's a time savings. And in venture building, time is the scarcest resource.

Founder selection through co-creation. Traditional VCs evaluate founders through pitch meetings, reference calls, and pattern matching. Studios evaluate founders by building with them. We spend months working alongside potential founding teams before making any commitments. By the time we formally co-found a venture, we've already stress-tested the relationship, the founder's decision-making under pressure, and the team's ability to execute. This eliminates a category of risk that traditional due diligence simply cannot address.

Startups with high investor engagement scale 3x faster than those with passive investors. Studios don't just engage — they embed.

Honesty About the Failure Modes

I would not be writing a credible essay about the studio model if I ignored its documented risks. Research from MIT and studies published in ScienceDirect have identified three distinct failure modes of venture studios. I take each of them seriously.

The identity-less builder. This is the studio that becomes a services company. It builds whatever seems interesting, without a coherent thesis, without strategic focus, without the discipline to say no. These studios produce a collection of unrelated startups that share nothing except a balance sheet. There is no compounding because there is no shared knowledge base.

At AI Gens, we guard against this by maintaining a clear thesis with defined verticals: PropTech (HOST360), Deep Tech and AI (MOONXI), and Consumer/Growth (MUSTARD). These aren't random bets. They are interconnected domains where operational knowledge transfers between ventures and where our team's specific expertise creates a durable advantage.

The phantom founder. This is the studio where the studio itself tries to be the founder, relegating the actual venture leaders to the role of glorified employees. The result is ventures that cannot operate independently, cannot attract external talent, and cannot develop the entrepreneurial DNA required to scale.

We believe the studio's role is to co-found, not to substitute the founder. Our model requires dedicated founding teams for each venture — people who are not AI Gens employees but AI Gens partners. We provide the infrastructure, the capital, and the intellectual capital. They provide the domain expertise, the daily leadership, and the obsessive focus that building a startup demands.

Heterogenesis of ends. This is the most subtle failure mode. It occurs when the studio's objectives and the venture's objectives gradually diverge. The studio may want to optimize for portfolio-level returns while a specific venture needs patient capital. The studio may want to consolidate infrastructure while a venture needs to differentiate.

We manage this tension through alignment structures — equity arrangements, governance frameworks, and cultural norms that keep the studio and the venture rowing in the same direction. But I won't pretend this tension doesn't exist. It does. Managing it is one of the hardest parts of running a studio, and anyone who tells you otherwise is selling something.

Our Portfolio: Where Thesis Meets Execution

AI Gens currently builds across three active ventures:

HOST360 operates in PropTech — specifically, the intersection of hospitality operations and technology. The short-term rental market is massive and operationally fragmented. HOST360 applies systematic processes and technology to create a vertically integrated hospitality platform.

MOONXI sits at the intersection of Deep Tech and AI. This is where we push the boundaries of what's technically possible, building infrastructure and applications that leverage artificial intelligence not as a feature but as a foundational capability.

MUSTARD targets the Consumer/Growth space. Consumer ventures require a different muscle — speed, brand instinct, growth mechanics. MUSTARD applies the studio's operational support to a category where most startups fail from poor execution, not poor ideas.

Each venture is distinct. Each has its own founding team, its own market, its own identity. But beneath the surface, they share infrastructure, operational playbooks, and — most importantly — the accumulated learning of everything AI Gens has built so far.

Patience, Conviction, Architecture

If I had to distill AI Gens's philosophy into three words, these would be them.

Patience. The studio model is not a shortcut. Building companies from zero takes longer than writing checks into existing ones. We accept this because the depth of involvement produces better outcomes, not faster ones. Our time horizon is measured in decades, not fund cycles.

Conviction. We build in areas where we have genuine conviction, not where the market is hot. This means saying no far more than we say yes. It means resisting the temptation to chase trends and instead doubling down on theses we've spent years developing.

Architecture. Great companies are not accidents. They are architected — deliberately designed with structural advantages that compound over time. The studio model itself is an architectural choice. Every system we build, every process we codify, every lesson we document becomes a permanent part of AI Gens's operating system. The architecture improves with every venture.

Why This Matters for LPs and Founders

If you're an LP evaluating emerging managers, the studio model offers something that traditional funds increasingly cannot: differentiated returns driven by operational involvement rather than market beta. When the market rises, every fund looks smart. When the market corrects, the difference between a portfolio of advised companies and a portfolio of co-built companies becomes stark.

The 53% average IRR isn't magic. It's the mathematical consequence of higher survival rates, faster time-to-revenue, and deeper operational involvement at the stages where the return multiple is established.

If you're a founder, the question is whether you want a partner who shows up at board meetings or a partner who shows up on Monday morning. Studios aren't for every founder. If you've already built two successful companies and know exactly what you need, a traditional check with minimal involvement might be ideal. But if you're building something ambitious in a complex market and you want a co-builder who brings infrastructure, operational muscle, and intellectual capital alongside financial capital — that's what a studio offers.

The Venture Industry Is Splitting

The next decade will divide the venture capital industry into two camps: capital allocators and company builders. Both will continue to exist. Both will produce returns. But the gap between them will widen as studios accumulate intellectual capital and as LPs increasingly demand operational differentiation from their managers.

AI Gens exists because I believe the future of venture creation is not about picking winners from the sidelines. It's about getting on the field and building them. Not because it's easier — it isn't. But because it works.

The data confirms it. The market is shifting toward it. And every venture we build makes the next one stronger.

That's why we chose the studio model. And we'd make the same choice again tomorrow.