01
The Problem
Revenue teams depend on BI tools that require SQL knowledge and manual dashboard interpretation. Insights are slow, non-technical stakeholders are excluded, and anomalies are spotted too late.
02
What It Does
A multi-agent AI that lets anyone query, forecast, and act on revenue data in natural language, with built-in anomaly detection, Holt-Winters forecasting, and human-in-the-loop approval flows.
03
Why I Built This
Revenue decisions should not require a data analyst in the room. I built RevAgent to make the intelligence layer accessible to the people who actually own the numbers.