Alanna.ai vs Ocrolus
AI & Automation head-to-head · axis by axis, same rubric for both
AI & Automation
AI & Automation
| Axis | Alanna.ai | Ocrolus |
|---|---|---|
| Production impact | 4.1 | 4.2 |
| Functionality & depth | 3.8 | 4.3 |
| Integrations & ecosystem | 4.0 | 3.8 |
| Adoption & support | 4.1 | 3.7 |
| Return on spend | 3.7 | 3.7 |
| Overall | 4.0 | 4.0 |
Alanna.ai wins 2 of 5 axes. Same rubric, same weights, no sponsorships.
What the rubric says
Alanna.ai and Ocrolus are both scored in AI & Automation. Alanna.ai carries an overall of 4, Ocrolus an overall of 4. The widest gap between them is Functionality and depth, at 0.5 of a point. That axis measures whether it handles the messy loans and not just the clean file. Ocrolus takes it, 4.3 to 3.8.
Where the five axes separate
On Functionality and depth the record favours Ocrolus, 4.3 against 3.8. On Adoption and support the record favours Alanna.ai, 4.1 against 3.7. On Integrations and ecosystem the record favours Alanna.ai, 4 against 3.8. On Production impact the record favours Ocrolus, 4.2 against 4.1. Return on spend is level at 3.7 for both.
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
Alanna.ai 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 Alanna.ai: Cloud, wired into title production systems. Deployment for Ocrolus: Cloud, API-first with an Encompass integration for Inspect. Segment focus for Alanna.ai: Title and settlement agencies rather than mortgage lenders. 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
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. Alanna.ai: ALTA documented the AI order entry release in February 2025; it has shipped. 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
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. Alanna.ai: No disclosed parent, investor or funding history behind a multi-year operational dependency. 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 Alanna.ai: Title agencies buried in emailed orders and status questions. Best fit for Ocrolus: Operations doing heavy bank statement, paystub and tax document analysis at volume.
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. Alanna.ai: It also answers routine buyer and agent questions without pulling a closer off the desk. Alanna.ai: The decision is whether your production system is one of the four it names, because every outcome runs. Alanna.ai: This is not lender software; an independent mortgage bank cannot point it at an LOS. 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
The two finish level on the published rubric. The choice turns on the axis your shop actually cares about. 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 →