Indecomm vs Trained AI
AI & Automation head-to-head · axis by axis, same rubric for both
Capital Square Partners
AI & Automation
| Axis | Indecomm | Trained AI |
|---|---|---|
| Production impact | 3.8 | 3.8 |
| Functionality & depth | 4.1 | 3.3 |
| Integrations & ecosystem | 4.0 | 3.3 |
| Adoption & support | 3.3 | 3.8 |
| Return on spend | 3.6 | 3.8 |
| Overall | 3.8 | 3.6 |
Indecomm wins 2 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
Indecomm and Trained AI are both scored in AI & Automation. Indecomm carries an overall of 3.8, Trained AI an overall of 3.6. The widest gap between them is Functionality and depth, at 0.8 of a point. That axis measures whether it handles the messy loans and not just the clean file. Indecomm takes it, 4.1 to 3.3.
Where the five axes separate
On Functionality and depth the record favours Indecomm, 4.1 against 3.3. On Integrations and ecosystem the record favours Indecomm, 4 against 3.3. On Adoption and support the record favours Trained AI, 3.8 against 3.3. On Return on spend the record favours Trained AI, 3.8 against 3.6. Production impact is level at 3.8 for both.
Pricing posture
Indecomm does not publish pricing. Its listed model is quote only, with software and outsourced services sold together or separately. 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 Indecomm: Cloud, with LOS, POS, AUS and credit connections through SourceConnect. Deployment for Trained AI: Cloud, API alongside the existing LOS. Segment focus for Indecomm: Lenders, servicers, credit unions and mortgage insurers buying automation alongside outsourced capacity. 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
Indecomm: Product line spans underwriting decisions, income calculation, QC audit, extraction and trailing documents. Indecomm: DocGenius holds a publicly announced Encompass integration. Indecomm: SourceConnect claims 40-plus connections across LOS, POS, AUS and credit systems. 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
Indecomm: Services heritage means software deals often arrive bundled with outsourced labor. Indecomm: No per-product performance data or independent benchmarks published. Indecomm: Six Genius product names overlap and confuse scoping. 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 Indecomm: Operations leaders who want software and outsourced labour under one contract. Best fit for Trained AI: Lenders with swinging volume who cannot carry fixed fulfillment cost through a downturn.
What each entry concludes
Indecomm: Indecomm sells a wide product line. Indecomm: DecisionGenius decides underwriting risk, IncomeGenius calculates income, AuditGenius runs QC, and IDXGenius extracts documents, with BotGenius and DocGenius. 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
Indecomm finishes ahead on the published rubric, 3.8 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 →