From application to underwriter-ready, without the manual chase.
Pointingfish reads every document in a borrower package - Form 1040s, 1065s, K-1s, paystubs, W-2s, bank statements, transcripts, IDs, and disclosures - then delivers validated, structured data your underwriters and LOS can act on immediately.
This moves the conversation from documents to underwriting readiness.
Loan origination doesn't slow down in underwriting. It slows down before underwriting starts.
Most delays occur before an underwriter ever opens the file. Pointingfish eliminates the document bottleneck so underwriting teams can focus on decisions - not document preparation.
Pointingfish eliminates the document bottleneck so underwriting teams can focus on decisions - not document preparation.
Missing documents
Incomplete borrower packages
Income calculations that need verification
Files arriving in different formats
Most delays occur before an underwriter ever opens the file
Documents we read
Trained on the actual stack your borrowers submit.
Not a generic OCR bolt-on. Pointingfish ships with mortgage-specific models for the document types that show up in real origination files-wholesale, retail and correspondent.
Form 1040 & schedules
Personal returns, Schedule C, E, K-1 reconciliation
300+ doc categories detected and separated at page boundaries.
03 / EXTRACT
Field extraction
Borrower, income, asset and credit fields pulled with confidence scores.
04 / VALIDATE
Cross-document validation
Name matching, employer validation, income consistency checks, asset verification, expiration rules, and exception detection.
05 / DELIVER
LOS & downstream
JSON, indexed PDF or direct push to Encompass, BytePro, etc.
The economics
Why origination teams ship faster after switching.
Problem
Underwriters spend valuable time reviewing document quality instead of borrower risk.
Processors hand-stacking docs for 60–90 minutes per file
Income calc errors caught only after underwriting touches the file
Investor stips and re-disclosures driven by missing or expired docs
Wholesale and correspondent files arrive in unpredictable order
Solution
Automated stacking & structured extraction.
Auto-split, classify and bookmark the full package in minutes
Pre-underwriting Intelligence with confidence scores per field
Stip checklist generated against your conditions taxonomy
Exception queue surfaces only the docs that actually need a human
Outcome
Faster files, fewer re-touches, cleaner audits.
40–60% reduction in processor handling time per file
Days off cycle time for clear-to-close
Lower pull-through risk on time-sensitive locks
Investor-ready audit trail for every decision
Use cases
How real origination teams are deploying it.
Retail lender
Pre-underwriting stack & index
Retail mortgage lenders use Pointingfish to stack and index borrower packages the moment they hit the LOS—income, asset and credit documents classified, key fields extracted, and the file handed to underwriting clean.
Same-day file readiness
Wholesale & correspondent
Broker submission normalization
Wholesale and correspondent shops receive broker submissions in every format imaginable. Pointingfish normalizes the stack—splits the package, classifies each document, flags missing pieces—before the file enters the queue.
Cleaner broker submissions
Non-QM lender
Self-employed income review
Non-QM and bank-statement programs use Pointingfish to read self-employed income packages—Form 1040s with Schedule C and E, Form 1065 returns, K-1s, and 3-month bank statements—and surface the data underwriters need.
Self-employed income ready
Measurable value
The numbers origination leaders actually report.
−68%
Manual stacking time
Hours per file replaced with seconds of compute and a short QA review.
+92%
Classification accuracy
Out-of-the-box. Improves further with your taxonomy and corrections.