Pointingfish

Bundle · 02

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.

Mortgage insight

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

Paystubs, W-2s & VOEs

YTD, gross, net, withholdings, employer verifications

Form 1065 & K-1s

Partnership returns, member shares, distributive income

Tax returns & transcripts

1040, schedules, business returns, 4506-C transcripts

Bank statements

Balances, large deposits, NSF detection, asset sourcing

Credit reports

Tri-merge parsing, tradelines, inquiries, public records

Government IDs

Driver’s licenses, passports, expiration validation

Property & title docs

Appraisals, prelims, HOI, flood certs, purchase contracts

Disclosures & closing

LE, CD, intent to proceed, e-consent, eClosing packages

Self-employed income documentation

Form 1040s, 1065s, K-1s, Schedule C, Schedule E, partnership returns, and supporting statements

Workflow

A single pipeline from borrower upload to underwriter-ready.

01 / INGEST
Borrower upload

POS, broker portal, email, SFTP. Mixed-quality scans welcome.

02 / SPLIT
Auto-split & bookmark

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.

Faster
Clear-to-close cycle

Faster initial disclosure, fewer re-discs, fewer last-minute conditions.

100%
Audit-ready packages

Every step logged. Every extraction traceable to the source page.

Built different

Built for mortgage workflows. Not generic document processing.

Pointingfish understands:

Borrower packages

Income documentation

Disclosures

Investor conditions

Underwriting workflows

Ready when you are

Bring a real loan file. We’ll show you the difference.

30-minute working session. Your sample package goes in. Classified output, extracted fields and an exception list come out. No slides, no theatre.