Bank Aggregation uses consumer bank account information to predict good and bad borrowers and to ensure funds are available for payment processing.
With Bank Aggregation you get enhanced data to help you make informed decisions, by verifying identity, employment, income source, income amount, income frequency, loan stacking, expense trends, ability to repay, life events, and much more.
Bank Aggregation uses data directly from a bank account. Get the balance, deposits, and detailed transaction information. We apply data science, machine learning, and analytics to identify the most important bank account’s behaviors in easy to use results.
With Bank Aggregation you get truly alternative data to help you make informed decisions, by verifying identity, account ownership, employment, income amounts and frequency, debt stacking, expense trends, the ability to pay, life events, marketing opportunities, and much more.
We have the largest financial institution coverage at 31,000+ with over 48,000 connections for built-in redundancy.
Use Case Solutions
Verify Bank Account
Ability to Repay
Increase Client Acquisitions
Improve Compliance
Funds Verification
Income & Employment Verification
Credit Decisions
Marketing and Product Selection
Credit Increases
Account Monitoring
Collections
Pre-populate Application
Data Attributes
ValidiFI is the primary Bank Aggregation data source for a leading point of sale car repair FinTech. The FinTech uses ValidiFI’s Risk Score data attribute to instantly underwrite applicants that were cut off because of a low traditional credit score. The Risk Score was able to provide instant financial information and identify credit worthy applicants.
The results were dramatic with nearly 25% of the declined applicants turning into originations, and becoming part of the FinTech success story.
ValidiFI is the primary Bank Aggregation data source for a leading point of sale car repair FinTech. The FinTech uses ValidiFI’s Risk Score data attribute to instantly underwrite applicants that were cut off because of a low traditional credit score. The Risk Score was able to provide instant financial information and identify credit worthy applicants.
The results were dramatic with nearly 25% of the declined applicants turning into originations, and becoming part of the FinTech success story.