Trained AI vs Infrrd
AI & Automation head-to-head · axis by axis, same rubric for both
AI & Automation
AI & Automation
| Axis | Trained AI | Infrrd |
|---|---|---|
| Production impact | 3.8 | 3.1 |
| Functionality & depth | 3.3 | 3.3 |
| Integrations & ecosystem | 3.3 | 2.6 |
| Adoption & support | 3.8 | 3.0 |
| Return on spend | 3.8 | 3.0 |
| Overall | 3.6 | 3.0 |
Trained AI wins 4 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
Trained AI and Infrrd are both scored in AI & Automation. Trained AI carries an overall of 3.6, Infrrd an overall of 3. The widest gap between them is Return on spend, at 0.8 of a point. That axis measures what the spend returns, which is not the same as being cheap. Trained AI takes it, 3.8 to 3.
Where the five axes separate
On Return on spend the record favours Trained AI, 3.8 against 3. On Adoption and support the record favours Trained AI, 3.8 against 3. On Production impact the record favours Trained AI, 3.8 against 3.1.
Pricing posture
Trained AI does not publish pricing. Its listed model is per closed and funded loan, rates not published. Infrrd does not publish pricing. Its listed model is quote only; a pricing page and roi calculator exist but publish no rates.
Deployment and who each one targets
Deployment for Trained AI: Cloud, API alongside the existing LOS. Deployment for Infrrd: Cloud, with human-in-the-loop review queues. Segment focus for Trained AI: Independent mortgage banks and mid-size retail lenders adding capacity without adding processors. Segment focus for Infrrd: QC, audit and investor delivery teams, plus origination and servicing document intake. The two entries name different buyers.
What each record credits
Trained AI: Charges per closed and funded loan, so cost tracks production. Infrrd: G2 reviewers score it 4.4 across 18 reviews, real external validation.
What each record holds against them
Trained AI: No LOS is named as a certified or tested integration. Infrrd: Reviewers cite OCR accuracy problems on complex layouts, exactly what mortgage files present.
Which one fits which shop
Best fit for Trained AI: Lenders with swinging volume who cannot carry fixed fulfillment cost through a downturn. Best fit for Infrrd: Pre-funding and post-close QC teams trying to shorten audit review time.
The short answer
Trained AI finishes ahead on the published rubric, 3.6 to 3. 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 →