§ 00
Opening
We don't back pitches. We back people who can't stop figuring it out.
In the age of AI, where anyone can ship an MVP in a weekend, the ability to build is no longer rare. What's rare is the founder who can do all of it — build the product, find the customer, close the deal, and iterate faster than everyone else in the market.
We back founders who can't stop building, can't stop selling and can't stop marketing.
Natal exists because we believe the following three things to be self-evident…
§ 01
Thesis I / Talent
Talent is everywhere. The launchpads aren't.
The founder decides the outcome. Markets, decks and ideas are secondary — drive, tenacity and resourcefulness outweigh any market call.
Hundreds of founder conversations make one pattern clear: the gaps differ by region. Some places produce world-class technical builders who can't sell. Others produce strong operators who can't ship. The launchpads that fix this — and pair complementary strengths — barely exist outside San Francisco and London.
Natal hand-picks founders across overlooked regions and pairs complementary strengths to build world-class companies. We go to where talent is overlooked.
§ 02
Thesis II / Moats
We build companies that can't be rebuilt overnight.
In the age of AI, any software product can be replicated in weeks. The model, the UI, the features — none of it is a moat anymore. A coding agent can rebuild your front-end in an afternoon. The question every founder must answer when building their product is: what makes this business defensible?
We fund and build companies with real moats:
Proprietary data.
Data that customers upload from their private workflows — information that doesn't exist on the public internet. Every interaction makes the product smarter, creating a compounding loop that competitors cannot replicate.
Distribution.
A founder with a black book of industry contacts, an existing customer relationship, or a massive social following has an advantage no amount of funding can buy. If you can distribute faster than you can be copied, you win.
Hard integrations.
Connections to non-public APIs, SDKs, and datasets that take months to negotiate and build. Not plug-and-play public APIs — the kind of integrations that create real switching costs and lock-in.
Local and domain knowledge.
Deep understanding of a vertical, a region, or a workflow that outsiders cannot Google their way into. Domain credibility shortens sales cycles and makes the product harder to replace.
We don't fund AI wrappers. We don't fund thin layers on top of someone else's API. We fund companies where the AI is the engine but the moat is everything around it.
§ 03
Thesis III / AI-Native
AI-native means AI-native from day zero.
Founders who come through Natal get an agentic toolbox — not a slide deck about AI trends. We teach the actual craft: agents, dev environments, state-of-the-art models and workflows that let two people operate like twenty.
The companies that come out of Natal won't need to "adopt AI" later. They'll have been born in it — agentic from the first line of code, the first customer conversation, the first hire. Every person full-stack; high ARR per head is the operating model, not a nice-to-have.
A 2-person team with the right tools can outship a 20-person team running last decade's playbook. We give founders that leverage on day one.
§ 04
How Natal works
How Natal works.
Natal is a venture studio. Two components, one funnel: the Academy is where we breed AI-native founders. The Studio is where we build world-class companies.
Academy
We breed AI-native founders.
An operator-led programme that compresses the craft of discovery, validation, GTM and distribution. We hand-pick the people, teach the work, and ship founders ready to build.
Read about the Academy
Studio
We build world-class companies.
We partner with the strongest founders on globally investable ideas, pair complementary strengths, write the first cheque, and co-build the company for the long run.
Read about the Studio
We breed AI-native founders. We build world-class companies.
§ 05
Timing
Why now?
Every decade produces a handful of platform shifts. Internet in the 2000s. Mobile in the 2010s. AI in the 2020s — except this one is bigger, faster and more accessible than anything before. The window to build foundational AI companies is the next four to five years.
In five years the infrastructure layer will have settled, incumbents will have caught up, and the cost of competing will be 100x what it is today. The founders who start now — with agents as co-workers, not features — will own the next decade.
We want to find those founders. Wherever they are.
