Transform raw bank transactions into structured intelligence — merchant names, spend categories, income signals and risk flags, delivered in real time.
Six production-ready capabilities available from day one — no additional integrations or extra licensing.
300+ spending categories applied automatically to every transaction with 98% accuracy.
Clean merchant names, logos and MCC codes replacing unreadable raw bank reference strings.
Detect regular salary, freelance and benefit income automatically from recurring patterns.
Aggregate spending by category, merchant or time period via pre-built analytics endpoints.
Real-time financial health score based on income-to-expenditure patterns and volatility index.
Flag unusual spending spikes or drops for risk, fraud and financial vulnerability detection.
Send raw transaction records via the API or connect directly to an authorised bank account.
ML models process each transaction — identifying merchants, categories and financial signals.
Enriched attributes including merchant, category, income type and risk flags are attached.
Enriched data is returned synchronously or via webhook — ready to power your product logic.
Build credit scores from rent, utilities and salary patterns to serve thin-file consumers.
Explore use case →Sync categorised bank data to Xero and QuickBooks, eliminating manual entry entirely.
Explore use case →Auto-categorise spending and set per-category limits with AI-powered nudge alerts.
Explore use case →Submit any bank transaction and receive enriched data back in the same API response — or stream enrichment via webhooks for account-linked flows.
98% accuracy. 300+ categories. Real-time enrichment for every transaction across 5,000+ banks.
No credit card required · FCA regulated · Live in minutes