Alanna.ai vs Trained AI
AI & Automation head-to-head · axis by axis, same rubric for both
AI & Automation
AI & Automation
| Axis | Alanna.ai | Trained AI |
|---|---|---|
| Production impact | 4.1 | 3.8 |
| Functionality & depth | 3.8 | 3.3 |
| Integrations & ecosystem | 4.0 | 3.3 |
| Adoption & support | 4.1 | 3.8 |
| Return on spend | 3.7 | 3.8 |
| Overall | 4.0 | 3.6 |
Alanna.ai wins 4 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
Alanna.ai and Trained AI are both scored in AI & Automation. Alanna.ai carries an overall of 4, Trained AI an overall of 3.6. The widest gap between them is Integrations and ecosystem, at 0.7 of a point. That axis measures how well it reaches the rest of the stack. Alanna.ai takes it, 4 to 3.3.
Where the five axes separate
On Integrations and ecosystem the record favours Alanna.ai, 4 against 3.3. On Functionality and depth the record favours Alanna.ai, 3.8 against 3.3. On Production impact the record favours Alanna.ai, 4.1 against 3.8. On Adoption and support the record favours Alanna.ai, 4.1 against 3.8. On Return on spend the record favours Trained AI, 3.8 against 3.7.
Pricing posture
Alanna.ai does not publish pricing. Its listed model is quote only, demo-gated. 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 Alanna.ai: Cloud, wired into title production systems. Deployment for Trained AI: Cloud, API alongside the existing LOS. Segment focus for Alanna.ai: Title and settlement agencies rather than mortgage lenders. 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
Alanna.ai: Names four production systems: SoftPro Select, RamQuest CCE, ResWare and Settlor. Alanna.ai: Founders Randall Nelson and Hoyt Mann built RamQuest and PhaseWare before. Alanna.ai: Order entry ingests raw email and PDF, no structured order feed required. 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
Alanna.ai: Title and settlement only; lenders cannot run it against Encompass or any LOS. Alanna.ai: No pricing, tiers, per-seat or per-order rate anywhere on the site. Alanna.ai: The 70 percent saving is a vendor claim, and homepage counters render zero. 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 Alanna.ai: Title agencies buried in emailed orders and status questions. Best fit for Trained AI: Lenders with swinging volume who cannot carry fixed fulfillment cost through a downturn.
What each entry concludes
Alanna.ai: Alanna is a conversational assistant and order entry layer for title agencies. Alanna.ai: It reads inbound email and PDF orders and opens the file in the production system. 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
Alanna.ai finishes ahead on the published rubric, 4 to 3.6. The margin comes mostly from Integrations and ecosystem. 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 →