Transactions That Categorise Themselves
FinTrack's AI categorises every transaction instantly — and learns from every correction, so accuracy improves the longer you use it.
Mis-categorised Spending
Mis-categorised Spending
Generic rules-based categorisation puts coffee in 'Restaurants' and software in 'Shopping'. Insights built on bad categories are useless.
Static Rules
Rule-based systems don't learn. The same mistake repeats every month.
How it works
FinTrack combines Plaid's merchant data with AI to categorise transactions accurately from day one. Every user correction feeds back into the model — so categories get more accurate over time, personalised to each user's spending patterns.
Initial Categorise
AI applies category on transaction import using merchant data and description.
Confidence Score
Low-confidence categorisations flagged for user review.
Learn
User corrections update the model for that user's transaction patterns.
Improve
Accuracy rate tracked and surfaced to user — a satisfying feedback loop.
What you get
Other use cases
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