Budgeting apps
want commitment.
We just want your statements.
Drop in your monthly statements.
See where your money actually flows.
Map your spending.
Check your cashflow.
Spot the trends.
And more.
The numbers, summarized.
Totals, averages, and breakdowns for any window — by category, by source, by month.
Spending, day by day.
Every transaction dropped onto a month grid. The heavy days, the recurring charges, the weekends that cost more than you thought — visible at a glance instead of buried in a list.
Teach it once.
Promote any merchant into a rule and every future import inherits it. Set the priority, pick the category — your custom rules always sit above the curated defaults, so a one-time fix stays fixed.
Statements in.
Upload your credit card and bank
statements from any bank.
Transactions categorized automatically.
Scanning your transactions · 0%
That’s it.
2,137 transactions imported
968 auto-categorized in one pass — future imports inherit this automatically; you only revisit when a new merchant shows up.
LLMs are probabilistic.
We treat them like it.
Financial data deserves certainty before probability. Deterministic rules match each transaction against an in-house knowledge base — exact, auditable, repeatable. A proprietary NLP matching layer handles the rest against a curated catalog. Only what remains reaches an external Google LLM, bounded to your category tree. A system that hardens as it learns. A self-reinforcing loop: graph clustering mines recurring transactions, promotes them to deterministic rules, and shrinks whatever reaches the probabilistic model.