Helping the fintech startup better predict their cash flow, using advanced models that improved purchase accuracy and reduced forecasting errors.

The existing approach relied on a static Excel workbook that was limited in flexibility, accessibility, and scalability.

Reducing energy costs by predicting and controlling efficiency, saving up to 35% and enabling anomaly detection and automated management for commercial properties.