Point Predictive IncomePass

Point Predictive IncomePass: Point Predictive describes IncomePass as an automated income validation product for lenders. The company says it verifies an applicant's stated income in real time against its own data repository and third-party sources.

Point Predictive IncomePass: IEValidate and IncomePass

It presents it as an alternative to reviewing pay stubs.

Point Predictive announced IncomePASS in a release. It later announced a partnership with Open Lending to bring income and employment validation into Open Lending's loan decisioning engine.

The company describes the aim as giving lenders a quicker way to check income without relying on documents supplied by the applicant.

According to the company's description, the product uses machine learning. The partnership pairs IncomePass with a companion product called IEValidate in the lender's decisioning flow.

Point Predictive also markets AutoPass and automation solutions on its site, and it publishes a blog.

The product is aimed at lenders and finance companies. Dealers meet it indirectly when a lender uses it to decide on a loan submitted through the store.

For a dealership, the practical effect is on how quickly and with what documentation a lender approves a deal. A finance manager would ask each lender which verification methods it uses, what applicants are told about the data used, how errors are corrected and how the dealer's stipulation process changes when income is verified electronically.

Income verification involves consumer reporting rules, so the lender and vendor carry the compliance obligations for how the data is used. A dealer should route applicant questions to the lender.

The category guide for finance and credit tools lists a neutral checklist for understanding this part of the chain, alongside the RouteOne and Dealertrack credit application entries. Ask about training time.

Point Predictive IncomePass functions
Product or serviceFunction
IEValidate and IncomePassIncome and employment verification products.