Pyro AI review
Pyro AI is a Mortgage Document & eClosing product from Rocket Companies. MortgageTechReview scores Pyro AI 3.3 out of 5.0, ranking Pyro AI #12 of the 21 products tracked in Mortgage Document & eClosing Software, as of August 11, 2026. Scores on MortgageTechReview are weighted across five axes and are never paid for or influenced by a vendor relationship.
Pyro AI is intelligent document processing for mortgage files. It ingests documents, classifies against a stated 400 plus types, extracts fields and routes exceptions to human review. The targets are origination work like income calculation and indexing, and servicing work like boarding and invoice reconciliation. Real published pricing decides it: classification runs $5,000 a month plus $0.05 a page. Extraction adds $5,000 monthly plus per-page rates from $0.25 to $1.25 depending on document. The limit: this is a document engine, not a closing platform, and its site names no LOS or servicing system.
How Pyro AI compares to DocMagic
Ranked first in DOCSDocMagic currently scores highest in DOCS, so every other product in the category is compared against it here. That is a ranking on our published rubric rather than a recommendation, and it changes when the scores change. Category Leader
| Axis | Pyro AI | DocMagic |
|---|---|---|
| Production impact | 3.6 | 4.9 |
| Functionality & depth | 3.4 | 4.9 |
| Integrations & ecosystem | 2.6 | 4.9 |
| Adoption & support | 3.1 | 4.4 |
| Return on spend | 3.6 | 4.4 |
| Overall | 3.3 | 4.8 |
Pyro AI wins 0 of 5 axes against DocMagic, on the weight profile published for this category. Full head-to-head →
Where it wins
- Publishes per-page pricing: $0.05 to classify, $0.25 to $1.25 to extract
- Ingests from IBM FileNet, Google Content Warehouse, SFTP, email, scanners and API
- Reads notary and endorsement stamps plus signatures, the collateral review part that stays manual
- Human-in-the-loop validation feeds model improvement, not just an exception queue
Where it falls short
- The 99 percent accuracy and 1,700 field claims carry no independent testing
- No LOS or servicing integration is named, so every downstream write gets built
- No parent company is named; the only corporate signal is a Mr. Cooper testimonial
- The $5,000 floor applies per capability, so classification plus extraction starts at $10,000 monthly
Why it scores 3.3
Scored on the Documents & eClosing weight profile. The number shows where it sits in this category. It rests on evidence anyone can check, including the vendor's own record. The weights →
Production impact
25% of scoreIndexing and stipulation review are among the largest manual cost centres left in a mortgage operation. This tool aims squarely at both. The published use cases are all high-headcount work. Origination gets income calculation and loan packaging; servicing gets loan boarding and invoice reconciliation. The score would rise if throughput were documented. The site shows placeholders where speed metrics should be, and no customer has published a before-and-after.
Functionality and depth
30% of scoreDepth within document processing is genuine. The pre-trained library spans more than 400 document types, with extraction across a claimed 1,700 fields. Stamp and signature recognition sits beside purpose-built audit and reconciliation apps. MLOps pipelines keep the models learning, so this is a full pipeline, not a single model. The score is held down by the category. This is Documents and eClosing, and Pyro does not sign, notarize, vault or record anything.
Integrations and ecosystem
20% of scoreThe ingestion side is well described, and the platform is API-first with JSON output. Ingestion is not integration. The site names no Encompass connector and no MSP connector, nor any other origination or servicing system. Extracted data gets written back through custom work. For a buyer, the implementation estimate is internal engineering time you cannot bound from public information.
Adoption and support
10% of scoreA pay-per-page model with a self-serve pricing page points to a low-friction start. The human-in-the-loop tooling is built for operations staff, not data scientists. Against that, document AI projects fail on training data and exception design more often than on the model. There is no published implementation methodology and no reference deployment to learn from.
Return on spend
15% of scorePublishing per-page rates is worth a lot, because a buyer models against current cost per file. At $0.05 a page to classify, automation beats an offshore indexing team on straightforward work. The $5,000 monthly minimum per capability is what decides fit. A small originator will not amortise $10,000 monthly across two capabilities as easily as a servicer with a large book.
On price. Pricing is published and specific, which is rare. Classification is $5,000 a month plus $0.05 a page. Extraction is $5,000 a month plus per-page rates. W2s, paystubs, notes, notices of sale and foreclosure deeds run $0.25. A 1003 runs $0.75 and a mortgage document $1.25. The page frames these as plans for individuals and small to mid-size businesses, so enterprise terms will differ.
