DataVerify vs Point Predictive

What the rubric says

DataVerify and Point Predictive are both scored in Verification & Data. DataVerify carries an overall of 4.4, Point Predictive an overall of 2.1. The widest gap between them is Integrations and ecosystem, at 3.3 of a point. That axis measures how well it reaches the rest of the stack. DataVerify takes it, 4.9 to 1.6.

Where the five axes separate

On Integrations and ecosystem the record favours DataVerify, 4.9 against 1.6. On Return on spend the record favours DataVerify, 4.3 against 2.1. On Production impact the record favours DataVerify, 4.4 against 2.3. On Functionality and depth the record favours DataVerify, 4.4 against 2.3. On Adoption and support the record favours DataVerify, 3.7 against 2.1.

Pricing posture

DataVerify does not publish pricing. Its listed model is quote only, per transaction. Point Predictive does not publish pricing. Its listed model is quote only.

Deployment and who each one targets

Deployment for DataVerify: Cloud, delivered through LOS integrations. Deployment for Point Predictive: Cloud, delivery mechanism not published. Segment focus for DataVerify: Lenders that need configurable fraud and data validation running inside the underwriting workflow. Segment focus for Point Predictive: Higher-volume lenders using fraud scores to triage underwriting, with auto lending as the company’s core. The two entries name different buyers.

What each record credits

DataVerify: Publishes named integrations across four product lines, fifteen platforms for DRIVE alone. DataVerify: Encompass Partner Connect integration announced with ICE Mortgage Technology, October 2024. DataVerify: Reaches newer platforms too: Vesta, LoanCrate, Blue Sage and Wilqo. Point Predictive: MortgagePass rank-orders applications by fraud propensity, enabling risk-based triage over binary flags. Point Predictive: Draws on application, servicing, real estate and behavioural data plus its consortium repository. Point Predictive: Published paystub fraud research, finding one in ten submitted paystubs fake, grounds the modelling.

What each record holds against them

DataVerify: Findings quality tracks rules configuration, which takes continuing lender effort. DataVerify: No pricing published, and no ownership or parent company disclosed. DataVerify: Integration lists differ by product; DRIVE support does not guarantee transcripts or SSA. Point Predictive: No origination system or point of sale integration is named anywhere. Point Predictive: The half-of-applications and sixty percent claims carry no third-party validation. Point Predictive: Consortium depth is strongest in auto, with no equivalent mortgage scale disclosed.

Which one fits which shop

Best fit for DataVerify: A shop that wants fraud rules, flood, tax transcripts and SSA verification from one provider. Best fit for Point Predictive: Lenders with enough application volume for score-based triage to change staffing.

What each entry concludes

DataVerify: DataVerify’s DRIVE platform runs fraud, identity, income and property checks against a configurable rules engine. DataVerify: Findings return as one report inside the loan file. Point Predictive: Point Predictive builds fraud risk models from a consortium data repository, and its centre of gravity is auto. Point Predictive: MortgagePass is the mortgage product, a score that rank-orders applications by the odds of material fraud.

The short answer

DataVerify finishes ahead on the published rubric, 4.4 to 2.1. The margin comes mostly from Integrations and ecosystem. Same rubric, same weights, no sponsorships.