When an investor tells me they are interested in backing a venture studio, my first question back is always the same: what do you think you are buying?
It sounds almost rude. It is actually the most useful question in the conversation, because the answer reveals whether they understand the asset — and most of them, including some genuinely excellent investors, do not. They think they are buying a portfolio of startups. Or a bet on a talented team. Or early, privileged access to deal flow. Each of those is a real thing. None of them is what a venture studio actually is.
Three things you can back, three different bets
Start with what you are choosing between, because there are roughly three things an investor can back, and each is a fundamentally different bet. Back a single startup, and you are betting on one team, one idea, one market, at one moment in time — the highest-variance bet there is, mostly binary, mostly zero. Back a fund, and you are betting on something subtler: the general partner's taste, their ability to pick, from thousands of other people's startups, the handful that will matter. You are underwriting selection skill.
A studio doesn't pick startups — it makes them
Back a venture studio, and you are betting on something rarer than either. A studio does not pick startups. It makes them. It is not in the business of selection; it is in the business of production. And that single difference changes everything about what you are actually buying.
You're underwriting the machine, not the output
Because if a studio produces ventures rather than picking them, then what you are underwriting is not any one of those ventures. It is the production system itself — the studio's ability to turn raw inputs, which are founders and ideas and capital, into launched companies at a predictable rate and a holding quality. You are buying the machine, not the output. The startups that come out of it this year are not the asset. The repeatable capacity to keep producing them, year after year, as it grows, is the asset.
This is the thing most people miss, and missing it leads them to back the wrong studios for the right-sounding reasons. An investor dazzled by the two excellent startups a studio launched last year is admiring the output. The question that actually determines the return is whether the studio can do it again, and again, predictably, as it scales — and that is a question about the machine, not about the two startups.
Which means the diligence questions change
Once you see it this way, the diligence questions change completely. The wrong question is "how good is this particular company in the portfolio." The right questions are all about the system. Does it produce ventures at a predictable rate, or is the output lumpy and luck-dependent? Does quality hold as the volume rises, or does it degrade the instant the founder is not personally in every room? Is the process documented and transferable — could a competent new operator actually run it — or does it live entirely inside one brilliant person's head?
That last question is the one I would press hardest if I were writing the cheque, because I have been on the wrong side of it. I once built a company whose production capacity lived largely in my own head, and I only discovered the true cost of that the day I went to sell it. A studio with the same flaw is not a scalable asset. It is a talented person and some luck, wearing the costume of a system. The investor's real question, underneath all the others, is exactly that: is there a machine here, or is there a person and some luck?
The test: show me your production rate
There is a clean test, and it is the one I would insist on. A genuine production system can show you its production rate — how many ventures actually launch per unit of input, per cohort, per thousand people who enter the top of it. A studio that cannot, or will not, show you that number is asking you to take the machine on faith. We publish ours, every month, precisely because a studio that hides its production rate is telling you something about whether the machine is real. The number is not always flattering. That is rather the point of publishing it.
Why the system has to be encoded, not heroic
Here is what has actually changed, and why this is suddenly the right decade to back the studios that get this right. For most of history, the production system of even a great studio was heroic — it depended on a handful of exceptional people doing exceptional things by hand, which is exactly what makes it unscalable and, past a point, un-fundable. What is possible now, for the first time, is to encode the production system: to document it, to have it independently accredited, and to augment it with AI so that the repeatable work runs as software rather than as heroics. That is the line between a studio that is a lifestyle business for a brilliant operator and a studio that is a genuine, scalable, fundable asset. The encoded machine is the investable one.
What we're betting
So I will tell you plainly what we are building and betting, because an investor evaluating a studio deserves the version without the theatre. We are not building a portfolio of startups we hope you will admire. We are building the encoded production system — documented, accredited, AI-augmented — and we are willing to be measured on its production rate, in public, every month, whether or not the number flatters us in a given one. That is the asset. Everything else is output.
For the investor who will rightly ask how a production process can be verified rather than merely claimed: the methodology underneath is independently accredited to a recognised third-party standard, which is what turns "we have a repeatable system" from a founder's assertion into something an outside party has actually audited. An encoded machine you can verify is a different class of asset from a talented team you simply have to trust.
The startups of the future aren't destined to fail — and the studios that build them are not destined to remain unscalable craft shops either. But only the ones who understand that the machine is the asset, who encode it rather than perform it, and who are willing to be measured on it in public, will be worth backing. That is the bet we are making, and the one we are building to be judged on.
If you invest at this stage and you think about venture studios this way — or if you would like to argue with me about whether I have any of it right — I would genuinely welcome the conversation. Write to me at investor@simsy.ai.
— Satish Kumar N · Founder & CEO, Simsy AI · Dubai · Bengaluru · New York
Build. Launch. Scale.