For Loan Officers · A guided tour

Your whole day in one system — and you can watch it work.

Source LMI borrowers, run a real pipeline, send outreach that's consent-checked and NMLS-stamped before it leaves, pull your exam evidence in one click, and let your realtor partners route business to you. Scroll down — this is the actual system, not a list of promises.

Built by a mortgage pro · Email works out of the box · SMS once you connect a number · Free during early access
loopenta.com · Pipeline
36
Active deals
$11.4M
Total value
$6.2M
Weighted
5
Funded this mo.
61%
Win rate
Lead 7
Marcus Webb
$289k · LMI ✓
2d in stageDO
Tasha Greene
$201k · LMI ✓
1d in stageDO
Pre-Qual 5
The Okafors
$355k
4d in stageRP
Application 6
Priya Raman
$337k · LMI ✓
3d in stageDO
Processing 7
Maria & Luis Herrera
$312k · LMI ✓
5d in stage ⚠RP
Ready for Docs 3
Wm. Webb
$320k · LMI ✓
1d in stageDO
Approved 4
Jordan Lee
$268k
2d in stageRP
Funded 21
Gregory Hammond
$340k · 🎉
closedDO
Illustration of Loopenta's real deal pipeline (all 9 stages: Lead → Pre-Qual → Application → Processing → Ready for Docs → Docs Out → Approved → Funded → Dead/Lost). Sample data.

You've seen a dozen CRMs. Three reasons to keep scrolling.

Fair skepticism. So here's the honest version, and then we'll show you each piece working.

01
Compliance is enforced at send — not bolted on
The consent check, the NMLS stamp, the quiet-hours and opt-out rules run the instant you hit send. The exam record builds itself from the same activity.
02
Your realtor partners route business to you
They get a genuinely useful open-house tool for free. When they have a buyer who needs financing or an open house to share, it lands in your queue.
03
Built by a mortgage pro, under real regulation
LMI/CRA prospecting, TCPA-aware outreach, a Defense Packet shaped like an actual exam response — not a generic CRM with a mortgage skin.
How we show the product below: every screen is a faithful rebuild of Loopenta's actual interface — real stage names, fields, and flows pulled straight from the app — populated with clearly-illustrative sample data. They're representations, not live screenshots, and any names/numbers are examples, never performance claims.
Pillar 1The daily engine — source, move, send, prove

The Core CRM

Prospecting, a real pipeline, compliant outreach, and exam evidence — running off one stream of activity, so the record builds itself as you work.

Deal pipeline

Every deal, every stage, and the ones going cold

Drag a deal across nine real stages and watch your weighted value and win rate move with it. Deals that sit too long flag themselves before they slip.

  • 9 stages: Lead → Funded, with a probability behind each
  • Cards show loan amount, LMI eligibility, the realtor, and days-in-stage
  • A ⚠ stuck flag the moment a deal idles past your threshold
Example: Maria & Luis Herrera — $312k FHA, 74% AMI — flagged at 5 days in Processing.
Deal · Herrera
Maria & Luis Herrera
$312,000 · Processing · FHA 30-yr fixed
LMI Category
Moderate · LMI ✓
% AMI
74%
Annual Income
$58,400
Property
Modesto, CA 95354
Source
Open-house referral
Realtor
Dana Okafor
⚠ 5 days in Processing — past your 3-day threshold. Nudge processing.
Illustration of the real deal-detail view · sample data.
LMI / AMI prospecting

Find the borrowers your CRA goals actually need

Type a ZIP. Loopenta resolves it to census tracts and grades each one against real Area Median Income data — so you're sourcing LMI activity on purpose, not by accident.

  • ZIP → census tract → tract MFI vs. area MFI
  • Graded Low / Moderate / Middle / Upper income
  • Live public data (CFPB FFIEC HMDA, with Census fallback)
Real data source — not a static lookup table.
LMI Search
Tract 0010.00
Tract MFI $36,400 · Area MFI $79,100 · 46%
Low
Tract 0007.00
Tract MFI $48,300 · Area MFI $79,100 · 61%
Moderate
Tract 0023.00
Tract MFI $71,200 · Area MFI $79,100 · 90%
Middle
Tract 0031.00
Tract MFI $98,800 · Area MFI $79,100 · 125%
Upper
Illustration of the real LMI/AMI tract search · sample tract values (actual figures vary by ZIP).
Consent-checked outreach + NMLS stamp

The compliance happens the instant you hit send

Before any text or email goes out, Loopenta checks consent, opt-outs, DNC, and quiet hours — and splices your NMLS ID onto the message. If a contact opted out, the send is blocked and the refusal is logged.

  • Per-contact consent across Email, SMS, Voice & Mail
  • STOP/opt-out and quiet-hours (8am–9pm) enforced automatically
  • Your NMLS ID auto-stamped on every outbound message
Email is live out of the box · SMS once you connect your number.
Send · consent gate
Send blocked. Jordan Lee opted out of SMS on May 3 — outbound text refused, and the refusal is logged to the audit trail.
Cleared to send. Maria Herrera — SMS consent on file (EBR). Quiet-hours OK. NMLS stamp appended:
Hi Maria — wanted to check in on a couple FHA options for the Almond Ave home. Easy to chat this week? — Sam Bennett, NMLS #1234567 Reply STOP to unsubscribe. HELP for info. Msg & data rates may apply.
Illustration of the real consent gate + NMLS auto-stamp · sample data. (NMLS # is an example.)
Consent & Preference Center

One place that knows who said yes — and to what

Every contact, every channel, with the status, the source, and the flags that decide whether a message can go out. This is the table the send gate reads — and the same evidence that lands in your Defense Packet.

  • In / Out / Unknown per channel, with provenance
  • EBR (established business relationship) and DNC flags
  • Imports from OneTrust / CSV carry their source
Consent & Preference Center
ContactEmailText/SMSVoiceMailFlags
Maria HerreraInInEBR
Jordan LeeInOut
Gregory HammondInInInEBR
Tasha GreeneInOutDNC
Illustration of the real Consent & Preference Center · sample contacts.
CRA Defense Packet

When the examiner calls, it's one click

Loopenta assembles a per-deal evidence packet from the activity you already logged — communications, CRA activity, consent & agreements, and a record-integrity attestation — into a single PDF you can hand over.

  • Communications log: every text, email and call, dated
  • CRA activity: ZIP / tract / LMI category per touch
  • Consent, preferences & signed agreements, with provenance
Defense Packet Preview
Confidential · Compliance Defense Packet
Maria & Luis Herrera
$312,000 · Processing · FHA 30-yr fixed
Loan Officer
Sam Bennett
NMLS ID
#1234567
LMI / Tract
LMI-eligible · 74% AMI
SMS Consent
Opted in (EBR)
1 · Communications Log
May 3 · SMS · OutboundIntro + FHA options
May 6 · Email · OutboundPre-qual checklist
2 · CRA Activity
ZIP 95354 · Tract 0007.00Moderate · LMI ✓
3 · Consent, Preferences & Agreements
SMS · Opted in · EBRSend-time: cleared
4 · Record Integrity Attestation
Append-only audit log · tenant isolation · NMLS on every message
Illustration of the real one-click Defense Packet · sample deal.
Pillar 2The realtor network & open-house engine

Your partners run open houses — and route the business to you

Give a realtor partner a tool they'll genuinely use, and become the loan officer attached to it. Here's the honest mechanic: the partner captures buyers; when they have one who needs financing — or an open house to share — they hand it to you.

The Open House Kit (your partner's side)

Address in → QR sign-in page, flyer & caption out

Your realtor partner types an address and gets a branded public sign-in page (with a QR code), a printable flyer, and a social caption. Every visitor who scans lands in the partner's contacts — with that evening's follow-up already drafted.

  • Public sign-in captures name, phone, buying timeline & consent
  • "Has a home to sell?" flags seller leads automatically
  • A follow-up text is pre-written and surfaces on their "Today" list
  • Their social posts are compliance-scanned — and any payment-scenario post routes to you for Reg Z sign-off: review from your phone, attach your example block, every decision archived
Real, end-to-end — public page served live at loopenta.com/oh/…
👋 Welcome! Sign in to the open house
3472 E Maple Ave, Fresno · hosted by Dana Okafor
Your name *
Jordan Lee
Phone *
(559) 555-0148
When are you looking to buy?
Right now3–6 monthsJust looking
Do you have a home to sell first?
YesNo
Sign in →
Powered by Loopenta
Illustration of the real public open-house sign-in page · sample visitor.
How it reaches you (the loan officer)

The handoff lands in your queue — with context

When a partner has an open house worth sharing or a buyer who needs a pre-qual, they submit it to you by name. You get a notification, and it drops into your open-house tracker to work and mark an outcome.

  • Partner submits an open house → you get "🏡 New Open House Submitted"
  • Shared LMI searches come with a "Request Pre-Qual" button
  • Not on their list yet? They can invite you in the same step
Your notifications
🏡
New Open House Submitted
Dana Okafor submitted an open house at 3472 E Maple Ave, Fresno 93710 — assigned to you.
🤝
Pre-Qual requested
Dana shared an LMI search and tapped "Request Pre-Qual" on a buyer in tract 0007.00.
Illustration of the real loan-officer notifications for partner submissions · sample data.
Straight talk: open-house visitor sign-ins live in your partner's CRM — they don't silently import into your pipeline. What reaches you is what your partner deliberately hands over (a submitted open house or a pre-qual request). That's the real flow, and it's the one we built.
Pillar 3Your book keeps working after the close

Past-client book with rate-drop refi alerts

A funded loan shouldn't disappear into a folder. Every closed deal rolls into a roster you keep — and when rates move a client into refinance range, they surface on your daily action list before they call someone else.

The book + the alert

Funded deals become a monitored roster

When a deal hits Funded, Loopenta auto-creates a past-customer record with their locked rate, program and amount. It then compares that locked rate to your team's current rate sheet — and when the drop clears the client's refi threshold, it flags them.

  • Auto-created on funding — no extra data entry
  • Refi check: locked rate − current rate ≥ the client's threshold
  • Runs against your team's rate sheet (kept current by your admin)
Sample rates shown to illustrate the feature — not an offer or quote.
Contacts · Past Customers
Gregory Hammond
30-Year Fixed · Conventional · $340K
Rate drop: 1.250% ✓ threshold met (0.75%)
7.375%
Refi ✓
Priya Raman
FHA 30-yr · $337K
Rate drop: 0.400% · needs 0.350% more
6.625%
The Okafors
VA 30-yr · $355K
Rate drop: 0.875% ✓ threshold met (0.75%)
7.000%
Refi ✓
Illustration of the real Past Customers roster with rate-drop alerts · sample data (illustrative rates, not an offer).
Proactive surfacing

The opportunity comes to you

You don't have to remember to check. A refinanceable past client appears on your dashboard's Required Actions — name, program, and the exact rate drop — deep-linked to their record so you can reach out in two taps.

  • Shows on your home dashboard, not buried in a report
  • Every alert names the program and the drop
  • Taps straight through to the client's contact record
Dashboard · Required Actions
📈
Gregory Hammond — refi opportunity
30-Year Fixed: 1.250% drop (threshold 0.75%) · reach out
📈
The Okafors — refi opportunity
VA 30-yr: 0.875% drop (threshold 0.75%) · reach out
Illustration of the real dashboard Required Actions surfacing refi opportunities · sample data.
Roadmap

Equity & current-value intelligence

Today the book watches rates. Next, it will watch equity — estimating a past client's current home value and surfacing the ones with enough equity to drop PMI, open a HELOC, or cash out. That valuation layer isn't built yet, so we're not going to pretend it is — it's on the roadmap, and this is the honest line between what works now and what's coming.

Straight answers

Does the texting work out of the box?
Email works immediately. SMS requires connecting your own texting number; once it's connected, every outbound text is consent-checked and NMLS-stamped before it sends. In the live demo, sends are simulated so you can see the flow without wiring anything up.
Do open-house sign-ins land in my pipeline automatically?
No — and we won't claim they do. Open-house visitors are captured in your realtor partner's CRM. What reaches you is what the partner deliberately hands over: a submitted open house or a "Request Pre-Qual" on a shared LMI search. That handoff is real and notifies you; the silent auto-import is not a feature.
How does the refi alert know a client is refinanceable?
When a deal funds, the client rolls into your past-customer book with their locked rate. Loopenta compares that to your team's current rate sheet (your admin keeps it current) and flags the client when the drop meets their refi threshold. It runs against your rate sheet — not a live market feed — and it watches rates, not equity (equity intelligence is on the roadmap).
Is the LMI data real?
Yes. ZIP-to-tract income grading pulls live public data — CFPB FFIEC HMDA, with a Census fallback — and compares tract median family income to the area's. It's not a static table.
What does it cost?
Founding Member pricing: $149/seat/mo, locked for 24 months, month-to-month with no exit fees. White-glove migration of your book is included, and there's a 60-day money-back pilot so it's risk-free to try. Annual option gets 2 months free.
Founding Member · first 10 firms

Recapture refis from your own book — founding pilot

Since the March 2026 trigger-lead ban, the play is your own past clients. Loopenta watches your funded book against your rate sheet and drops “call this client today — they clear their refi threshold” onto your daily list. Two taps, consent-logged, NMLS-clean. One recaptured refi pays for years.

$149/seat/mo
Founding rate, locked 24 months (normally $199)
✓ 60-day money-back pilot
✓ White-glove migration (I move your book)
✓ Annual option: 2 months free
✓ Month-to-month · no exit fees
Claim your founding-member pilot →
Rate-drop alerts run against your rate sheet (not a live feed); credit-pull & equity intelligence are on the roadmap — we won’t pretend otherwise.

See it run with your own pipeline in mind.

Book a 20-minute walkthrough on your own book. We take founding firms in small groups — the actual screens above, working, migrated with your data.

Claim your founding-member pilot →

Explore the other sides of the loop