What if your reviewers only saw the hard 4%?
Machines read every page of every file. Your experts judge what deserves them.
Call Nik 412.320.1130 →or ceo@100x.inc
$45B+
whole loans acquired
86
securitizations
#1
non-QM issuer since 2015
source: invictuscp.com, as of Mar 31 2026
scroll
our read
Three things stood out.
01 · the machine
Nine programs, two channels, one guideline matrix each.
source: verusmc.com
02 · the seat
Every loan Verus buys passes through Daniel's group first.
source: Daniel's LinkedIn profile
03 · the year
Volume grows in 2026. Review hours do not.
source: verusmc.com 2026 outlook
Off-read? 412.320.1130 sets us straight.
built for your table
Written for the people who run Verus.
Forward it. Every seat at the table has a desk in here.
Daniel Lane
EVP, Credit
Reviewers judge the hard 4%. Machines read the rest.
Dane Smith
President
The growth story without the headcount line.
Troy Gibbens, CFA
CFO, CRO, COO & CTO
Runs on your rails. Every action logged.
Jeff Schaefer
EVP, National Sales
Correspondents get answers in hours, not days.
Paul Ottendorf
EVP, Wholesale Operations
The floor stops being the bottleneck.
Duane Beasley
General Counsel & Chief Compliance Officer
An audit log compliance can read line by line.
names, roles + photos: verusmc.com/who-we-are
in your words
Common sense scales only as far as reviewer hours.
"A common-sense approach to underwriting... All programs focus on the borrowers' ability to repay."
Verus company page
Common sense lives in your reviewers, not in page-turning.
"Verus acquires responsible non-agency mortgage loans from correspondents."
Verus company page
Responsible at $45B means the bar holds while file counts climb.
"Non-QM enters 2026 at its most active level yet."
verusmc.com 2026 outlook
The doc mix gets harder exactly as the volume gets bigger.
the framework
The diligence stack, inverted.
Today expert hours start at the bottom. Agents flip where your people enter.
3
Your committee judges
Credit calls land on evidence, not on stamina.
approve · override · decline · precedent logged
2
Exceptions arrive argued both ways
Guideline cite, compensating factors, recommendation.
DTI cap · tradeline depth · reserve seasoning · occupancy
1
Agents read 100% of pages on arrival
Every field extracted, every calc rerun, every check cited.
intake · income recalc · DSCR · guideline matrix · tape
imagine · intake
Imagine diligence done before the file hits a desk.
Bank statement loan · self-employed · $612K
first pass, while you read this
24 mo statementsread · income recalculated
seller income calcmatches within 1.2%
guideline matrix61 checks passed
reserve seasoning11 days short · flagged
imagine · the month
Imagine the month moving while your team sleeps.
files read on arrival2,140 loans
cleared with citations88%
exception memos drafted9%
to committee3%
EX-4471 · DTI 51.3 vs 50 cap
comp factors: 14 mo reserves · 0x30 · LTV 65
EX-4469 · occupancy doubt
evidence stacked, both sides shown
imagine · the tape
Imagine the tape matching the docs, loan by loan.
Eighty-six deals in, you know the cost of a field that drifts.
Tape-to-doc reconciliation
61 fields × 2,140 loans · 130K+ checks
Seller 042 · DSCR concentration
rent verification defects up · coaching note drafted
Seller 118 · bank statement heavy
income variance trending down 3 months straight
Diligence package · next pool
exception history + resolutions, per loan
the architecture
What would you name it? Mine is called Sasha.
Sasha runs Nik's pipeline and drafted this page. Yours would run four desks.
________ · your name for it
It reads files for Verus. It should sound like Verus.
File Diligence
Reads 100% of pages at intake, recomputes income and DSCR.
Exceptions
Triages against guidelines, drafts memos argued both ways.
Data Integrity
Reconciles tape to source docs before the pool cuts.
Seller Quality
Builds live correspondent scorecards from every file.
receipts
This already runs in mortgage credit.
Button Finance runs a 100× pre-underwrite agent inside Encompass today.
"Without 100x, Home.LLC would have failed. With 100x, we replaced 100+ originators, underwriters, and servicers with a single AI agent "Sophie" and analyzed 100M+ properties nationwide to find the best investment targets. That's why, I spun out 100x so you can build on our successes."
Nik Shah, Chief Executive Officer · Home.LLC
"Thank you! Couldn't have done this without your kick-ass team. They absolutely crushed it!"
Felix Yeung, Product Leader · Opendoor
"Exactly what we needed in a partnership. You boosted our productivity 100×!"
Rupesh Munot, CEO · RSL Solutions
Audit log on everything. Compliance and counterparties can read it.
Committee keeps the pen. Agents prepare, your people decide.
Your data stays yours. Loan-level history compounds into your moat.
Citations, not vibes. Every check points at a page in the file.
the question
Opposed to exploring further?
Human CEO
Nik Shah
2013-2019Ernst & Young. Entry level to Chief of Staff to the Board.
2019-2025Home.LLC. Housing finance co, now 99% AI-managed by "Sophei".
2023-2024iSquad/SPS. Scaled and sold a staffing company.
2025-now100×. Building custom AI agents for businesses.
Featured in WSJ, Fortune, Axios, and 50+ publications. Called "the most accurate housing market forecaster in America."