DataVerify vs Cotality
Verification & Data head-to-head · axis by axis, same rubric for both
Verification & Data
Stone Point Capital and Insight Partners
| Axis | DataVerify | Cotality |
|---|---|---|
| Production impact | 4.4 | 4.0 |
| Functionality & depth | 4.4 | 4.9 |
| Integrations & ecosystem | 4.9 | 4.4 |
| Adoption & support | 3.7 | 3.2 |
| Return on spend | 4.3 | 3.2 |
| Overall | 4.4 | 4.0 |
DataVerify wins 4 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
DataVerify and Cotality are both scored in Verification & Data. DataVerify carries an overall of 4.4, Cotality an overall of 4. The widest gap between them is Return on spend, at 1.1 of a point. That axis measures what the spend returns, which is not the same as being cheap. DataVerify takes it, 4.3 to 3.2.
Where the five axes separate
On Return on spend the record favours DataVerify, 4.3 against 3.2. On Integrations and ecosystem the record favours DataVerify, 4.9 against 4.4. On Functionality and depth the record favours Cotality, 4.9 against 4.4. On Adoption and support the record favours DataVerify, 3.7 against 3.2. On Production impact the record favours DataVerify, 4.4 against 4.
In Verification & Data the rubric weights Production impact heaviest, at 25 percent. That is why the two overalls sit where they do.
How the weights turn axes into a score
Production impact carries 25 percent of the Verification & Data score. It measures whether the tool moves volume, pull-through or cycle time. Functionality and depth carries 20 percent of the Verification & Data score. It measures whether it handles the messy loans and not just the clean file. Integrations and ecosystem carries 20 percent of the Verification & Data score. It measures how well it reaches the rest of the stack. Adoption and support carries 10 percent of the Verification & Data score. It measures whether the team adopts it and gets unstuck. Return on spend carries 25 percent of the Verification & Data score. It measures what the spend returns, which is not the same as being cheap.
Pricing posture
DataVerify does not publish pricing. Its listed model is quote only, per transaction. Cotality does not publish pricing. Its listed model is quote only, enterprise contracts.
Deployment and who each one targets
Deployment for DataVerify: Cloud, delivered through LOS integrations. Deployment for Cotality: Cloud, APIs, cloud marketplace delivery and LOS integrations. Segment focus for DataVerify: Lenders that need configurable fraud and data validation running inside the underwriting workflow. Segment focus for Cotality: Large lenders, servicers and capital markets participants buying property data at scale. 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. DataVerify: Flood, 4506 transcript, SSA and DRIVE lines each integrate directly, not portal-only. Cotality: One counterparty covers property data, flood, tax servicing, valuation and fraud scoring. Cotality: Stone Point Capital and Insight Partners ownership since 2021 brings rare capital depth. Cotality: Data ships through Snowflake and Databricks marketplaces, not only proprietary APIs. Cotality: Mercury Network and the Collateral Management System hold deep lender installed bases.
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. DataVerify: A broadly configured ruleset creates review work that offsets the time it saves. Cotality: Bundled, opaque pricing makes per-product cost hard to isolate at renewal. Cotality: Enterprise sales and implementation run long against point-solution rivals in every category. Cotality: The 2025 rename means contracts and references still carry both names. Cotality: Cloud marketplace connections are published; a named LOS integration list is not.
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 Cotality: An enterprise that wants property, flood, tax and valuation data from one counterparty.
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. DataVerify: Flood determination and 4506 tax transcripts run as separate product lines, and Social Security verification does too. DataVerify: Integration coverage is the strongest argument: fifteen platforms for DRIVE, and an Encompass Partner Connect tie-in announced October. DataVerify: It also reaches newer systems, Vesta, LoanCrate, Blue Sage and Wilqo, that legacy vendors skip. Cotality: Cotality is CoreLogic renamed in March 2025, private under Stone Point Capital and Insight Partners since June 2021. Cotality: The lending catalogue runs property and address data, flood determinations, tax servicing, and valuation through Mercury Network. Cotality: AutomatIQ Borrower covers verification and LoanSafe covers fraud risk. Cotality: Consolidation decides it: few vendors supply this much under one master agreement. Cotality: Big shops buy it for fewer counterparties, not for category-best performance in each line.
The short answer
DataVerify finishes ahead on the published rubric, 4.4 to 4. The margin comes mostly from Return on spend. Same rubric, same weights, no sponsorships.
Both tools are scored on the same weighted rubric, production impact carries the most weight. Comparisons are never sponsored. Disclosure →