[{"data":1,"prerenderedAt":175},["ShallowReactive",2],{"blog":3},[4,90],{"id":5,"title":6,"body":7,"date":81,"description":82,"extension":83,"meta":84,"navigation":85,"path":86,"seo":87,"stem":88,"__hash__":89},"blog\u002Fblog\u002Fcoaching-at-scale.md","Why we originate companies instead of just backing them",{"type":8,"value":9,"toc":73},"minimark",[10,14,17,20,25,28,31,35,38,41,44,48,51,54,57,60,64,67,70],[11,12,13],"p",{},"The standard venture model is: founder has idea, builds company, raises money. The investor is downstream of all the hard work.",[11,15,16],{},"The studio model inverts this. The investor identifies the thesis, recruits the operator, and builds the company alongside them from day one.",[11,18,19],{},"This isn't a new idea. What's new is what AI-native infrastructure does to the economics of it.",[21,22,24],"h2",{"id":23},"why-studios-fail","Why studios fail",[11,26,27],{},"Most venture studios fail for the same reason: the operational overhead of running a studio is too high relative to the upside. You're paying full-time operators before there's revenue, coordinating across multiple companies simultaneously, and trying to build shared infrastructure that actually works across different business models.",[11,29,30],{},"The result is usually mediocre companies built slowly by people who aren't fully committed.",[21,32,34],{"id":33},"what-changes-with-ai-native-infrastructure","What changes with AI-native infrastructure",[11,36,37],{},"When every company in the studio is built on the same operating stack from day one, the overhead collapses.",[11,39,40],{},"Strategy, financial operating model, decision-making rhythm, risk management — all of this runs on Stratafy infrastructure. It's not custom-built per company. It's templated, compounding, and shared.",[11,42,43],{},"The operator doesn't spend their first six months building internal tooling. They spend it on the problem.",[21,45,47],{"id":46},"ledgerloop","Ledgerloop",[11,49,50],{},"Ledgerloop is the first company we originated inside the studio.",[11,52,53],{},"The thesis came first: professional services firms run by accountants (CA(SA)s in South Africa) have no AI-native operating layer. Every firm uses a patchwork of legacy tools. The AI-native version of this infrastructure doesn't exist yet.",[11,55,56],{},"We recruited Carla to the thesis. She's a CA(SA) with direct experience running a professional services firm. She didn't come to us with the idea — we brought the idea to her and asked if she wanted to build it.",[11,58,59],{},"She joined. The company is being built on Stratafy infrastructure from day one. We're proving the model.",[21,61,63],{"id":62},"what-this-means-for-fund-i","What this means for Fund I",[11,65,66],{},"Studio origination isn't our primary strategy. External founder sourcing is.",[11,68,69],{},"But the studio model gives us something most funds don't have: the ability to create deal flow when we have high conviction on a thesis but no founder in the market yet. That's a meaningful edge.",[11,71,72],{},"And when a studio company is built on the same infrastructure as our external portcos, the know-how compounds in both directions.",{"title":74,"searchDepth":75,"depth":75,"links":76},"",2,[77,78,79,80],{"id":23,"depth":75,"text":24},{"id":33,"depth":75,"text":34},{"id":46,"depth":75,"text":47},{"id":62,"depth":75,"text":63},"2026-05-01","The studio model isn't new. But doing it on AI-native infrastructure changes the economics — and the speed.","md",{},true,"\u002Fblog\u002Fcoaching-at-scale",{"title":6,"description":82},"blog\u002Fcoaching-at-scale","wMdifZMPMji3Q-qjmArkNYlz_2MxU8cyNN5TQ-JToIg",{"id":91,"title":92,"body":93,"date":168,"description":169,"extension":83,"meta":170,"navigation":85,"path":171,"seo":172,"stem":173,"__hash__":174},"blog\u002Fblog\u002Fwhy-strategy-fails.md","What makes a company actually AI-native",{"type":8,"value":94,"toc":163},[95,98,101,105,108,111,114,118,121,124,131,137,143,147,150,157,160],[11,96,97],{},"Everyone is claiming to be AI-native right now. Very few actually are.",[11,99,100],{},"The distinction matters — not as a label, but because it determines how a company scales, where its moat comes from, and whether it survives the next wave of model improvements.",[21,102,104],{"id":103},"the-test","The test",[11,106,107],{},"An AI-enabled company uses AI tools to do existing work faster. Remove the AI and the company still functions — it's just slower.",[11,109,110],{},"An AI-native company is built around AI as its primary operating capability. Remove the AI and the company stops working. The unit economics, the team structure, and the product architecture all assume AI at the core.",[11,112,113],{},"This isn't a technology question. It's a business model question.",[21,115,117],{"id":116},"why-it-matters-for-investors","Why it matters for investors",[11,119,120],{},"AI-enabled companies will face increasing margin pressure as AI capabilities become commodity. If your competitive advantage is \"we use AI to do X faster\", that advantage compresses as everyone gets access to the same models.",[11,122,123],{},"AI-native companies build moats differently:",[11,125,126,130],{},[127,128,129],"strong",{},"Data moats"," — the company gets more valuable as it accumulates proprietary data that improves its models. Each operation makes the next one better.",[11,132,133,136],{},[127,134,135],{},"Workflow moats"," — the company's AI is deeply embedded in customer workflows. Switching requires rebuilding, not just replacing a tool.",[11,138,139,142],{},[127,140,141],{},"Knowledge moats"," — the company's AI encodes operational know-how that took years to develop. A new entrant can't replicate it by training on public data.",[21,144,146],{"id":145},"the-failure-mode","The failure mode",[11,148,149],{},"The hardest part of evaluating AI-native companies is that founders don't always know which one they are.",[11,151,152,153],{},"A founder building an AI-enabled product can pitch it as AI-native. The difference only becomes visible when you ask: ",[154,155,156],"em",{},"what happens when your competitors have access to the same foundation models?",[11,158,159],{},"If the answer is \"we have better data\" or \"we're embedded in the workflow\" — that's a moat. If the answer is \"we'll figure that out\" — that's not.",[11,161,162],{},"This is the first question we ask. The answer shapes everything else.",{"title":74,"searchDepth":75,"depth":75,"links":164},[165,166,167],{"id":103,"depth":75,"text":104},{"id":116,"depth":75,"text":117},{"id":145,"depth":75,"text":146},"2026-04-15","There's a meaningful difference between AI-enabled and AI-native. Most founders get it wrong — and it determines everything about how a company scales.",{},"\u002Fblog\u002Fwhy-strategy-fails",{"title":92,"description":169},"blog\u002Fwhy-strategy-fails","tJxbdZg6UIMM1Nitm5t00zWPNuPZEyenNer2dH9tJYY",1777819497412]