Deep Transaction Analytics
Fuse algorithms were trained on over 400m data points from the Pave app to become fluent in their language.
We apply AI-powered algorithms to transactions data to create deep customer insights that drive growth.
Our products
Enrichment accuracy
Transaction Data Enrichment
Automated acceptances for a partner
Complex Affordability Checks
Gini uplift vs Delphi for a partner
Transaction Credit Scoring
Vulnerability flags for the Consumer Duty
Life Event Detection & Monitoring
Fuse turns messy transaction data
into crisp customer insights
Try it for free
How Fuse Works
Transaction Data
Open Banking Data
Additional Data
Deep language learning models
Dashboard
Enrichment Outputs
API
Share data
Share existing transactions and customer data. Fuse can also collect Open Banking data from aggregators like Truelayer.
Fuse enriches
Fuse language models analyse your data in real-time, and as frequently as you require.
Apply insights
Fuse customises enrichment outputs to your use case, making insights accessible via API and dashboard.
Example use cases
Detecting Customer Vulnerability
Income Verification
PFM Insights
Transaction Credit Scoring
Household Affordability
Life Event Detection
Who uses Fuse?
Banks
Benefits
Use cases
Banking partners use us to automate income checks, improve customer outcomes and NPS by detecting vulnerability, and lower the cost of interventions by prioritising collections & recoveries efforts.
Non-bank lenders
Benefits
Use cases
Lenders use us to automate affordability checks and improve margins with superior credit risk decisioning using Open Banking data.
Buy Now Pay Later
Benefits
Use cases
BNPL providers use us to automate income checks and prepare for upcoming regulation by the FCA, with a low friction solution for affordability and credit risk checks.
