銀行なら3カ月→AIは1カ月 10万件のデータで「数千万円」を引き出した“データドリブン資金調達術”
Zehitomo introduced a case study where AI-driven data analysis enabled a loan service to secure tens of millions of yen faster than traditional bank financing.
Key points
- •Zehitomo, nearing profitability, sought new funding methods to avoid the slowness of bank loans and the risks of equity financing.
- •By using AI to analyze 100,000 deposit data points, the company secured a loan of tens of millions of yen in just one month.
- •This approach is described as a 'funding technique for the AI era,' allowing rapid capital acquisition without diluting shares.