Ocrolus vs Trained AI
AI & Automation head-to-head · axis by axis, same rubric for both
AI & Automation
AI & Automation
| Axis | Ocrolus | Trained AI |
|---|---|---|
| Production impact | 4.2 | 3.8 |
| Functionality & depth | 4.3 | 3.3 |
| Integrations & ecosystem | 3.8 | 3.3 |
| Adoption & support | 3.7 | 3.8 |
| Return on spend | 3.7 | 3.8 |
| Overall | 4.0 | 3.6 |
Ocrolus wins 3 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
Ocrolus and Trained AI are both scored in AI & Automation. Ocrolus carries an overall of 4, Trained AI an overall of 3.6. The widest gap between them is Functionality and depth, at 1 of a point. That axis measures whether it handles the messy loans and not just the clean file. Ocrolus takes it, 4.3 to 3.3.
Where the five axes separate
On Functionality and depth the record favours Ocrolus, 4.3 against 3.3. On Integrations and ecosystem the record favours Ocrolus, 3.8 against 3.3. On Production impact the record favours Ocrolus, 4.2 against 3.8. On Return on spend the record favours Trained AI, 3.8 against 3.7. On Adoption and support the record favours Trained AI, 3.8 against 3.7.
Pricing posture
Ocrolus does not publish pricing. Its listed model is quote only, volume based. Trained AI does not publish pricing. Its listed model is per closed and funded loan, rates not published.
Deployment and who each one targets
Deployment for Ocrolus: Cloud, API-first with an Encompass integration for Inspect. Deployment for Trained AI: Cloud, API alongside the existing LOS. Segment focus for Ocrolus: Lenders across mortgage, small business and consumer credit needing documents turned into structured data. Segment focus for Trained AI: Independent mortgage banks and mid-size retail lenders adding capacity without adding processors. The two entries name different buyers.
What each record credits
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. Trained AI: Charges per closed and funded loan, so cost tracks production. Trained AI: Six lender customers named publicly, Victorian Finance and VIP Mortgage among them. Trained AI: Runs behind the LOS, so processors and underwriters keep familiar screens.
What each record holds against them
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. Trained AI: No LOS is named as a certified or tested integration. Trained AI: The 90 percent touch cut and fifteenfold ROI are vendor figures, unvalidated. Trained AI: Per-loan rates are unpublished, so unit economics still need a sales conversation.
Which one fits which shop
Best fit for Ocrolus: Operations doing heavy bank statement, paystub and tax document analysis at volume. Best fit for Trained AI: Lenders with swinging volume who cannot carry fixed fulfillment cost through a downturn.
What each entry concludes
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. Trained AI: Relai is Trained AI’s document and workflow engine, sold on one promise. Trained AI: Strip manual touches out of loan manufacturing without making anyone learn a new screen.
The short answer
Ocrolus finishes ahead on the published rubric, 4 to 3.6. The margin comes mostly from Functionality and depth. 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 →