Our founder, Tiffany Qiu, spent years as an economist at Goldman Sachs and central banks, watching how the world's most powerful institutions actually make decisions. And one thing never sat right with her: the ability to read economic and policy signals early, to cut through the noise before markets move, was locked behind the largest research teams and data budgets. The people who could process information fastest almost always benefited first. The problem was clear. Critical policy signals appear across speeches, minutes, reports, and news long before they're reflected in markets, yet identifying them stays largely manual. Raw data platforms hand you information but leave the analysis to you. General AI gives you generic answers but can't run the econometric modeling institutions rely on for real decisions. That's why she built two products that work together. FinFAST turns noisy language, like speeches, minutes, reports, and news, into measurable economic and policy signals. FinAnalytics then takes those signals and turns them into scenario analysis, forecasts, and decision-ready intelligence. The approach evolved along the way. We started model-first, but quickly learned the hard part wasn't the AI, it was the workflow. Analysts don't want a black box; they want traceable, decision-grade analysis they can trust and override. So we rebuilt around a problem-first, human-in-the-loop approach, and expanded to cover both US and China markets, where the biggest policy decisions get made. If frontier AI is going to reshape economic and policy analysis, we want it to do so in a way that is rigorous, transparent, and beneficial to more people.

FinFAST and FinAnalytics

Vertical AI to search, analyze, and forecast the economy

Vertical AI to search, analyze, and forecast the economy