TRUE vs Ocrolus

What the rubric says

TRUE and Ocrolus are both scored in AI & Automation. TRUE carries an overall of 4.4, Ocrolus an overall of 4. The widest gap between them is Integrations and ecosystem, at 0.5 of a point. That axis measures how well it reaches the rest of the stack. TRUE takes it, 4.3 to 3.8.

Where the five axes separate

On Integrations and ecosystem the record favours TRUE, 4.3 against 3.8. On Production impact the record favours TRUE, 4.6 against 4.2. On Adoption and support the record favours TRUE, 4.1 against 3.7. On Return on spend the record favours TRUE, 4 against 3.7. On Functionality and depth the record favours TRUE, 4.6 against 4.3.

In AI & Automation the rubric weights Production impact heaviest, at 40 percent. That is why the two overalls sit where they do.

How the weights turn axes into a score

Production impact carries 40 percent of the AI & Automation score. It measures whether the tool moves volume, pull-through or cycle time. Functionality and depth carries 15 percent of the AI & Automation score. It measures whether it handles the messy loans and not just the clean file. Integrations and ecosystem carries 20 percent of the AI & Automation score. It measures how well it reaches the rest of the stack. Adoption and support carries 15 percent of the AI & Automation score. It measures whether the team adopts it and gets unstuck. Return on spend carries 10 percent of the AI & Automation score. It measures what the spend returns, which is not the same as being cheap.

Pricing posture

TRUE does not publish pricing. Its listed model is quote only, demo-gated. Ocrolus does not publish pricing. Its listed model is quote only, volume based.

Deployment and who each one targets

Deployment for TRUE: Cloud service layered on the loan file. Deployment for Ocrolus: Cloud, API-first with an Encompass integration for Inspect. Segment focus for TRUE: Lenders and mortgage insurers with high document volume that want income and condition work automated. Segment focus for Ocrolus: Lenders across mortgage, small business and consumer credit needing documents turned into structured data. The two entries name different buyers.

What each record credits

TRUE: Names counterparties on its site: Fairway, Arvest, MGIC, Arch MI, NMI. TRUE: Covers setup through post-close audit instead of stopping at document classification. TRUE: Deepest at income calculation, the most expensive manual task in underwriting. TRUE: Backed by Long Ridge growth equity and CBC strategic money, not a single-round startup. Ocrolus: Inspect checks application data against documents, a harder job than extracting fields. Ocrolus: Integrates with Encompass, plus a publicized Fannie Mae engagement on income calculations. Ocrolus: HomeTrust Bank case: 8,500 hours saved yearly, keystrokes per application under 100. Ocrolus: Named logos include SoFi, PayPal, Square and Zillow, scale well beyond mortgage.

What each record holds against them

TRUE: No LOS integration is named publicly. TRUE: The 90 percent-plus straight-through figure is vendor-stated with no loan type scope. TRUE: Crowded lane against document AI bundled by LOS and POS vendors; expect a bake-off. TRUE: Pricing is entirely quote-driven with no published unit rate or tier. Ocrolus: Mortgage competes for roadmap attention with small business, auto, consumer and other verticals. Ocrolus: Encompass is the only LOS named, with other systems described only generally. Ocrolus: No pricing published, and volume-based rates leave small-lender economics unclear. Ocrolus: The 99 percent accuracy figure is the company’s own, not independently audited.

Which one fits which shop

Best fit for TRUE: Underwriting operations where manual income calculation is the constraint. Best fit for Ocrolus: Operations doing heavy bank statement, paystub and tax document analysis at volume.

What each entry concludes

TRUE: TRUE began as SoftWorks AI in 2017 under Ari Gross and Alison Wasserman, rebranding in 2022. TRUE: Its Mortgage Operations Service turns uploaded documents into calculated income and clean file data. TRUE: Done fast enough, underwriters review exceptions instead of doing arithmetic. TRUE: Buy it if income calculation is genuinely your bottleneck, because that is where it runs deepest. TRUE: First Continental reported roughly an hour per loan turning into four loans in under twenty minutes. Ocrolus: Ocrolus converts borrower documents into structured data, and its mortgage line has two pieces worth separating. Ocrolus: One piece reads bank statements and paystubs, plus tax documents, above 99 percent accurate on company testing. Ocrolus: The other is Inspect, which flags unsupported application data and, the company says, integrates with Encompass. Ocrolus: Volume decides it, because document-priced services reward shops processing thousands of files, not hundreds. Ocrolus: The honest limit is focus, since mortgage is one vertical among several.

The short answer

TRUE finishes ahead on the published rubric, 4.4 to 4. The margin comes mostly from Integrations and ecosystem. Same rubric, same weights, no sponsorships.