Back in 2019, we couldn't find financial software that actually worked for growing businesses. Everything either cost too much or required a degree in data science just to read the dashboard. So we made something different.
Our path wasn't some grand vision. It started with late nights trying to build cash flow projections in spreadsheets that kept breaking. And honestly, we're still learning as we go.
Two former analysts complaining about financial software. We sketched our first prototype on napkins — which sounds cliché but actually happened. The idea was simple: what if forecasting didn't require five hours of manual data entry?
A manufacturing company in Busan gave us a chance. Their CFO was tired of the same clunky tools we'd escaped from. We spent six months just listening to what they actually needed — turns out it wasn't the fancy features we thought were important.
We realized our original code was held together with optimism and caffeine. Took nine months to rewrite the entire platform from scratch. Painful at the time, but it meant we could finally add the automation features that made sense.
We're working on tools that help businesses see patterns they'd otherwise miss. Not predictions — just clearer ways to understand what's already happening in your numbers. Beta testing starts in September 2025 with companies who want to kick the tires.
We're not trying to revolutionize finance. Just making software that respects your time and doesn't assume you have a PhD in statistics.
Spent twelve years building analysis systems for mid-market companies. Still remembers the pain of explaining to executives why their reporting took three weeks. Now builds tools that give you answers by Tuesday.
Came from enterprise software where features got added just because someone thought they sounded impressive. His rule here is simple: if it takes more than three clicks, we're doing it wrong.
Right now we're focused on pattern recognition. Not AI predictions that sound impressive but miss half the time. Just better ways to spot trends in your historical data that might be worth investigating.
We're also working on cross-company benchmarking — anonymous data sharing that lets you see how your metrics compare to similar businesses. Early tests start in October 2025 with a group of manufacturers in the Seoul area.
And we're committed to keeping this affordable. Too many companies price themselves into the enterprise-only market, which leaves growing businesses stuck with spreadsheets. That's exactly what we were trying to escape.
