The Growth Operating System
for AI Companies

Most companies trying to use AI for growth hit the same wall: their data is fragmented. Product signals in one tool, billing in another, support in a third, CRM somewhere else. Ten disconnected systems, none talking to each other. So when they add AI, it hallucinates - because it has no coherent context to reason about.

That fragmented stack is also why most companies need 4-5 hires just to operate their commercial engine. The bloat isn't in the team. It's in the technology.

PATCH eliminates both problems. One unified system replaces the entire stack. Product, customer, revenue, operations - every dimension of the business connected in a single data model, custom-built for each client's specific growth goals. Growth intent goes in. Direct outcomes come out.

PATCH Terminal. Up to six parallel AI-assisted sessions per client, across up to seven clients at once. Built-in tracking of what is being worked on where, with guardrails for handling sensitive client data.

Patchbook: "What does our pipeline look like this week?" A live dashboard from a single question. No SQL. No tickets. No waiting.

Every client owns their entire system. Code, data, logic. No lock-in. They stay because the system compounds, not because they're stuck. Everything is legible to both AI and humans, which means each improvement to the underlying models makes every client's system more capable automatically. Over time, their growth operations become a genuine moat. We now have leading GTM agencies approaching us to partner because they can't crack this problem. They still stitch together redundant software tools to approximate what PATCH does natively.

Series B · $100M+ raised · 120+ employees · 100M+ patient interactions

Healthcare sits at the frontier of AI regulation. Corti builds AI for clinical decision-making - where compliance teams scrutinize every data flow. Our system had to pass 30+ page AI impact assessments and DPIA reviews before going live. It cleared every hoop and went into production.

Discovery to company-wide deployment in 30 days. The co-founder hard launched the system to the entire company. Organic adoption across the full team - no training, no mandates. They just started using it.

Co-founder hard launches the system company-wide: "everyone can make serious impact"

Andreas Cleve, Co-founder

VP requests a complex cross-system data pull

"LEGIT GAME-CHANGER ALERT. Solved in ~10 seconds."

Atlas is what Corti's team named the custom agent built on their system. Not a generic chatbot - an interface shaped entirely by their data, their context, and their growth goals. That level of contextual awareness is only possible because of the aggressive data centralisation underneath. Every client's system works this way. Teams name the tools. They make them theirs.

Co-founder proactively requesting automated intelligence reports. Team responding: "THIS IS ALREADY IN THE WORKS." Organic adoption - the team is driving their own requirements.

Structured delivery, not chaos. 99+ requests completed. Every task tracked from intake through completion. Full visibility for the entire team.

Series B, $100M+	"The missing piece for our $50M fundraise"
Series B, $1B valuation	Replaced their entire enrichment stack. What took 5 days now takes 5 minutes
Series A, $650M valuation	Enterprise buyers surfaced from self-serve signups for the first time
Series A, $44M raised	Full growth engine deployed. Outbound generating pipeline
Series A, $1B+ AUM	Growth system in a regulated financial services environment
YC W24	Healthcare AI. Usage-based growth intelligence

30+ companies. 100+ growth motions deployed. Healthcare, fintech, developer tools, AI infrastructure.

Alex is a Cape Town native. 2 of 3 current operators are already SA-based. The operator role is the key to this model - high-value, systematic, trainable. Not freelance gig work. A real professional path building growth systems for global companies.

AI development has leveled the playing field. An operator in Cape Town delivers the same quality as one in London. The clients care about outcomes, not geography.

"Ask a question about your data" in English, Zulu, Xhosa, or Afrikaans. The same interface, any language. Voice input included.

This is not an AI automation agency. We don't cobble together disparate workflows or compromise on the foundation. PATCH replaces the full growth operation - and we only work with companies that are ready for it. We're selective because the model demands it: clients need to be receptive to a fundamentally different way of working. The ones that are? Every competitive demo we've run against 7+ traditional proposals has closed. Every one.

Everything to this point has been built in stealth. No marketing. No outbound. Every client has come through referrals and distribution partnerships. That was deliberate. We are the first official partner of Attio, the Google Ventures-backed CRM, who refer us directly to their highest-growth startups.

Attio's first official partner. Direct referrals to hyper-growth startups.

We've been in client-funded R&D mode since the pivot - making a bet on the future of AI growth operations while the rest of the market was still selling SaaS seats. Our clients funded the iteration. The real-world problems shaped the system. The result is a proven model with proven economics and a client base that keeps referring us.

We're ready to go to market now. We can continue to self-fund and bootstrap with the support of our clients - the unit economics allow it. Or we can partner with influential entities and advisors who share a similar view of where the economy is heading and want to be part of shaping it.