How it started
Back in 2018, I was managing financial reports for three different companies simultaneously. Each month meant weeks of manual data processing, cross-referencing spreadsheets, and creating reports that executives would skim through in five minutes.
The breaking point came during a quarterly review when a board member asked a simple question about cash flow trends that should have taken seconds to answer - but required two hours of manual calculations to get right.
That's when Henrik and I started experimenting with machine learning algorithms during evenings and weekends. What began as a side project to automate our own reporting headaches evolved into something much bigger.
Today, our AI systems process thousands of financial data points in minutes, generating insights that used to take teams days to uncover. But the core mission remains the same - making financial information accessible and actionable for real business decisions.
