Challenge
Bills, subscriptions, scam messages, and other financial events arrived in inconsistent formats that were hard to track. Kinage needed a functional MVP fast, to test with users, demonstrate value to investors, and support rapid iteration.
Solution
We built a secure inbox connector and parsing pipeline that extracts merchants, amounts, and due dates, then classifies bills, subscriptions, scams, and anomalies, converting the results into clear alerts inside a full-stack application.
Results
- Accelerated market launch with a functional MVP for user testing
- Reduced future rework through a modular, extensible foundation
- Improved visibility and control over bills and financial risk
- Gave the team tangible evidence to support fundraising
Technology
Python · NLP · Classification Models · AWS
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