Amelia Chikota

The Cash Advance Score is trained on millions of cash advances and hundreds of Attributes such as overdraft fees, changes in income, balance trends, and more.

Understanding cashflows and liabilities is critical for accurately assessing a user’s true affordability and making informed risk decisions.

The market for cashflow analytics is expanding -- creating opportunities for lenders to increase approvals to those overlooked by traditional credit systems.

We analyzed net income trends in a small subset of our dataset, finding a 30% surge in net income for users of alternative credit products.

This dashboard allows you to monitor the accuracy of our Payroll Prediction Model, which detects payroll in bank transactions and predicts the next paycheck date and amount with over 90% accuracy.

We're super excited to announce our partnership Snowflake for their Startup Partnership Program!

The Cash Advance History Score summarizes your customers’ repayment rate across providers for cash advances of varying amounts. This allows you to offer higher advances to new and existing users, given their repayment history.

We’re now ingesting Plaid Auth data! Plaid Auth payloads provide information about a user’s account, including the financial institution associated with the account.

We’ve released integrations with Galileo and Lithic! This will allow you to upload bank data from Galileo and Lithic accounts to the Pave API.