Credit infrastructure wasn't built for how people actually
get paid. We're building what's missing.
For the 67% of Americans living paycheck to paycheck, the problem isn't overspending. It's that rent, car payments, and insurance all land at once while income arrives in intervals. That timing mismatch creates overdrafts, late fees, and cascading stress for otherwise stable households.
This is a physics problem, not a behavior problem. And it's invisible to traditional credit infrastructure.
FICO measures the wrong thing. Lens AI evaluates real-time cash flow, behavioral patterns, and stability signals to predict whether someone will make a specific payment given their actual financial rhythm, not a static score.
The results validate the thesis: removing reliance on traditional credit scores expanded approvals to previously excluded segments without increasing loss rates.
Passionate technologists with decades of experience across finance, real estate, consumer, security, and beyond.
Meet the Split Pay team here.