The InstitutionalUnderwriting Engine formodern brokers.

Document IntelligenceLender MatchingUnderwriting AnalysisAI Powered
YieldStream platform hero overview
AUTO-COMPUTED
Underwriting Signals
  • DSCR 9.14 — strong cash cycle coverageAbove 1.5x threshold
  • 1 NSF event in statement periodModerate frequency, narrows pool
  • ADB is 19% of monthly revenueAbove 15% threshold for most lenders
WEIGHTED
Score Breakdown
Score86
  • Market signal82
  • Pull-through91
  • Risk match78
INTAKE
Secure Upload
12+Statements ingested
Avg. Ingest Time: 120s
PROCESSING
Auto Processing
~120sAvg. ingest time98.8% accuracy
ENRICHMENT
Data Enrichment
20+Rulesets appliedConfidence-scored output
Match Confidence: 97%
MATCHING
Funding Signals
97%Match confidenceMulti-layer scoring engine
OUTCOME
Closed Deal
3xOffers compared & closed

From statement to renewal.

Four capabilities. One continuous workflow.

001 / UW

Automated underwriting

Statement → Profile → Risk

Upload 3–6 months of bank statements. YieldStream extracts the full underwriting picture — deposit patterns, balance trends, overdraft history, counter-party risk, and stacking signals — and flags exactly what a lender will question. You get a structured brief you can defend, not a PDF you hope someone reads.

Deposit cadenceStackingNSF signatureCounter-party
002 / MATCH

Lender recommendations

Signal → Score → Fit

Every lender on your panel scored for this specific file. Not 'is it a good lender' — is it the right lender, today, for this deal. Ranked by probability of funding and expected commission, with a written underwriter's note on every match.

Expected valueRisk matchPull-throughReasoning
003 / SEND

One deal, every lender, one click

Package → Submit → Track

Generate a lender-ready package in one click. Submit to your entire panel in parallel and track every response, approval, and counter from one screen — not across twelve inbox threads.

One-click packagesParallel submitResponse trackingLender history
004 / FLOW

Application to renewal

The system remembers so you don't have to.

Every deal tracked from application to funding to renewal — automatically. The system knows when a merchant hits 50% paydown and surfaces the renewal before your competitor does. Stage transitions, document collection, and offer comparison happen along the way.

Pipeline stagesOffer comparisonFunding eventsRenewal triggers
How the model learns
005 / DECAY

Time decay & model drift

Signals age. Our scores know it.

A Meridian approval from 14 months ago is not evidence today. YieldStream weights historical outcomes by recency, regime, and lender policy changes, so the model reflects the market you're actually selling into.

Recency weightingRegime detectionPolicy driftMarket alignment
006 / LOOP

Outcome ingestion

Every funded deal teaches the system

Declines, counters, funded amounts, and default signals flow back into the model. Your panel gets sharper with every submission — and the edge compounds.

Decline signalsFunded amountsModel retrainingCompounding edge
Deal Workflow

How it works

01.

Generate Secure Portal

Create a unique, encrypted upload link for your merchant. Documents stay secure and organized from the start.

bank_statements_june.pdf
Bank-level encryption · 256-bit TLS

Documents requested for YieldStream LLC

Requested by Joshua Dinh · YieldStream LLC

Bank statements

Last 3 months

ID / License

Government-issued photo ID

Other documents

Signed application, voided check, etc.

Drop your documents here

or tap to browse from your device

PDFJPGPNGHEIC
Intelligence

Every lender, scored the moment a deal lands.

YieldStream learns each lender's buy-box from your submission history — FICO thresholds, revenue floors, industry preferences, funding velocity — then ranks them against every new deal in real time.

Composite scoring across 4 signal layers

Market signal, your pull-through history, risk match, and funding velocity — weighted by what actually predicts closes in your book.

Plain-English reasons, not black-box math

Every rank comes with the why: "Clears FICO and tenure · Revenue 10% below minimum." No opaque percentiles.

Shared-blocker detection

When your top matches all fail for the same reason, we surface it once — with a one-click path to clean up the file instead of submitting to a dead deal.

Learns from your funded deals

Your pull-through rates retrain the model weekly. Lenders that fund your deals climb. Lenders that decline drop. Compounds over time.

GC86
FICO 720 · revenue $2.4M — clears all thresholds
CP84
Pull-through 78% · avg fund 4.2 days
BV81
Revenue 12% below min; score adjusted
NF73
CR69
OD65
FB61
RF
KP
AM
FW

Why the gap widens every week you use it.

Intelligence Flywheel

Every submitted deal makes the next one sharper. This is the part competitors can't copy.

NODE 01

Deals in

Bank statements, applications, panel history.

NODE 02

Ranked out

Lender scoring, expected EV, fit reasoning.

NODE 03

Outcomes captured

Approvals, declines, funded amounts, defaults.

NODE 04

Model retrained

Weights updated with recency-adjusted truth.

NODE 05

Sharper matches

Next file routes to the right desk, faster.

Retrain cadence · every 72 hours
Signals per deal · ~340
Closed-loop brokerages · 21
Transparent AI

Every underwrite analysis
comes with a reason.

YieldStream generates human-readable Underwriter Notes for every file—explaining the structural logic behind the score. This provides strategic sales positioning for your reps, allowing them to defend offers with data and close with certainty. No black boxes.

Underwriter's Note

Growing catering operation — $95K/mo with only 8.1% stacking. 1 NSF was a timing issue (vendor payment). Well within tolerance for most lenders. 93% confidence · Revenue: Growing

Simple & Transparent

Request Access

Straightforward plans built around submission volume — no seat counts, no hidden add-ons. Find the one that fits and be live this week.

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