What onchain capital is missing
From the team that’s been operating in emerging markets for a decade.
INSIGHT #1
The winning protocols will carry trust, not just capital
The protocols that scale won’t be the ones with the best rails—they’ll be the ones with verified borrowers on the other end. Distribution into real-world emerging markets, and the trust that comes with it, is the scarce asset. You can build the protocol, but you can’t shortcut a decade of borrower relationships.
INSIGHT #2
The data gap is bigger than the capital gap
There’s no shortage of capital looking for emerging market exposure. What’s missing is the risk and intelligence layer—built on real-world repayment behavior, credit decisions, and borrower outcomes—that makes deployment reliable. That kind of dataset takes years of real lending risk to produce, and it doesn’t exist off the shelf.
INSIGHT #3
Informal economies are where AI credit actually gets proven
The most defensible AI underwriting models won’t be trained on Western consumer data. They’ll be built on proprietary signals from markets where formal credit infrastructure never existed—refined across cycles, geographies, and borrower populations that no synthetic dataset can replicate. That’s where the next generation of credit intelligence is being built.
What we’re building
We’ve spent ten years building the identity, underwriting, and trust layer that makes on-chain capital productive for real-world borrowers. If you’re working on—or investing behind—similar theses, we should talk.