LoanForge
Built by BuildspaceLabs Book a demo
Live loan pipeline

From document dump to clear to close

LoanForge reads every borrower document, verifies income and assets against the file, and auto-clears the underwriting conditions that stall a loan — so your team closes in days, not weeks.

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  • 68% of conditions auto-cleared
  • Every field cites its source doc
  • 14-day median to CTC
0
Loans in pipeline
0days
Median time to clear-to-close
4 days faster
0%
Conditions auto-cleared
0%
Pull-through rate
app → funded
Where loans stall

A loan doesn't get stuck on the rate. It gets stuck on the paperwork.

Most cycle time hides in conditions — the documents an underwriter needs before a file can clear. LoanForge sees every open condition by category and knocks out the ones a rule can settle.

Income docs 142 open

Paystubs, W-2s and tax returns — the biggest queue, and the one that auto-clears most: 61% settle without a touch.

Appraisal 98 open

Values arrive, then wait for review. LoanForge checks value against LTV and routes only the exceptions to a human.

Title & escrow 71 open

Title commitments and lien clearances, tracked to the day so nothing quietly ages past the rate lock.

Assets & reserves 60 open

Bank statements and large-deposit sourcing — where a single unexplained gift can stall an otherwise clean file.

One file, fully sourced

Every loan carries a live picture of what's cleared and what's left — decomposed by condition category, not buried in an email thread.

88% cleared
  • Income docs 38%
  • Appraisal 26%
  • Title & escrow 19%
  • Assets & reserves 17%
Extract · verify · close

Read the file. Clear the conditions. Move to close.

LoanForge closes the loop from a folder of borrower documents to a clear-to-close decision — without a processor re-typing a single field.

STEP 01

Extract

The engine reads income, employment, assets and liabilities from W-2s, paystubs, bank statements and appraisals — each field tagged to its source page with a confidence score.

STEP 02

Verify & auto-clear

Extracted data is reconciled against the 1003 and agency guidelines, then the conditions that pass every rule clear themselves — 68% of them, untouched.

STEP 03

Draft & close

For what's left, LoanForge drafts the exact borrower request, recomputes DTI and LTV, and moves clean files straight to clear-to-close.

Inside the product

The pipeline board and the loan file, side by side.

BuildspaceLabs built the MVP front end: a Loan Pipeline board for the whole book, and a single loan file where extraction, conditions and ratios come together.

Loan Pipeline board

See the whole book, worst-stuck first.

Cycle-time, auto-clear and pull-through KPIs sit above a colour-coded loans table and a live read of outstanding conditions by category.

  • Cycle time to clear-to-close trending down to 14 days
  • Loans typed by product with LTV, DTI and stage
  • Outstanding conditions and a stage funnel in the rail
LoanForge Loan Pipeline board: four KPIs, a cycle-time-to-clear-to-close trend falling to 14 days, an active-loans table typed by product with LTV, DTI and stage, and outstanding conditions by category.
Loan Pipeline board — cycle-time, active loans and conditions by category.
Loan file

Extraction, conditions and ratios on one file.

AI-extracted income and assets — each with a confidence ring and its source document — sit beside the underwriting conditions checklist, recomputed DTI/LTV, and an AI-drafted condition request ready to send.

  • Extracted fields with confidence and source doc
  • Auto-cleared vs. outstanding conditions, colour-coded
  • Recomputed DTI/LTV and a drafted condition request
LoanForge loan file for Marcus and Elena Reyes: AI-extracted income, employment and assets each with a confidence ring and source document, an underwriting conditions checklist with 15 of 17 cleared, recomputed DTI and LTV, and an AI-drafted condition request.
Loan file — extracted data, conditions, ratios and the drafted request.
What's in the box

Built for the origination desk, end to end.

Document extraction, condition-clearing and qualification consolidated into one loan-officer surface — nothing left in a shared inbox.

Loan Pipeline board

Cycle-time, auto-clear and pull-through KPIs above a triage-ready, colour-coded loans table.

Document extraction

Income, employment and assets read from borrower documents, each with a confidence score and source page.

Auto-clearing conditions

Conditions that pass every rule clear themselves — 68% untouched — with the rest routed to a human.

AI condition requests

The exact borrower email drafted for every outstanding item — with a confidence score, ready to send.

Ratios & qualification

DTI, LTV and PITI recomputed live from extracted income and liabilities, checked against guidelines.

Loan file detail

Extraction, conditions checklist, ratios and next action on one screen for every loan in the book.

Auditable, not autonomous

Every number ties back to a document.

In lending, a figure you can't defend is a figure you can't fund on. LoanForge never invents a value — each extracted field cites its source document and page, carries a confidence score, and nothing clears without passing a rule.

  • Every extracted field cites its source document and page.
  • A confidence score on every read — low ones are flagged, never guessed.
  • No condition clears without passing an explicit underwriting rule.
Under the hood

Modern data stack, production-grade front end.

Delivered as a production-quality MVP in a ten-week engagement.

Next.js React TypeScript Tailwind CSS FastAPI · Python PostgreSQL Document AI pipeline

Clear your pipeline faster.

We build AI-native products like LoanForge. Tell us how your origination desk runs today and we'll show you what document extraction and auto-cleared conditions look like on your loans.

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