The Lull

Commercial Real Estate · Mortgage · Mezzanine Debt · Preferred Equity · Other Structured Products · Equity

Deal underwriting, team pipeline, intelligent CRM.

One platform, one canonical record — IC-ready by default in minutes.

canonical deal recordi · Deal AnalysisValuationDCF · DCRC · CompMemoTerm SheetLOAN$48.5MLTV62.5%SPRDS+285DY9.4%TERM5+1+1IO36mosenior + mezzthreedeliverablesone extractionii · Pipeline Management9 stagesteam kanbaniii · Intelligent CRMA!BCOVERAGE42 / 5614 stale, 9 duelive coveragefrom deal flow

Built by a sixteen‑year CRE practitioner in equity acquisitions, structured debt originations, and managing complex CRE transactions at top-tier institutions.

§ IThree workspaces

Three workspaces, one deal record, every screen smarter than the last.

A debt fund touches a deal eight times before it closes. The Lull is where each touch happens — and where the data from one sharpens the next.

ii.
Pipeline
A 9-stage kanban built around how a debt team actually moves a deal, from screen to payoff. Team admin, kill-deal tracking, info-gap alerts, and resumable mid-flow sessions.
Screen → Underwrite → Initial IC → Quote → Term Sheet
IC → Closing → Asset Management → Payoff
Kill-deal and reactivate flags · team admin and gap alerts
iii.
Intelligent CRM
A CRM populated by your live deal flow, not your typing. Coverage targets at 15/30/60/90 days, AI-drafted follow-ups, and gap analysis that surfaces who's transacting in your zone.
Auto-extracted contacts, linked to every deal they touch
Coverage stale-alerts and follow-up drafts
Geo + asset-class gap analysis
§ IIDeal Analysis

Where the OM becomes a deal

Three deliverables. One extraction. Four minutes.

Drop a 64-page offering memorandum, a rent roll, a T-12, a comp set. Claude parses every page, reconciles the numbers, and writes a canonical deal record, then drafts your valuation, your memo, and your term sheet from the same source of truth.

a.
Valuation Engine
Replaces Argus + Excel. Same flexibility, none of the rebuild time.
  • DCF with cash-flow level granularity
  • Direct Cap with hand-tuned submarket comps
  • Replacement Cost with line-item land + build
  • Sales Comp with primary-source records
  • Stack Summary reconciles all four at the top
b.
Memo Generation
Numbers from deterministic helpers. Prose reconciled to the cell.
  • Summary Memo (2 pp) for screening
  • IC Memo (5 pp) for committee
  • Audience switch: IC · Partner · Investor
  • Editorial typography, your firm's masthead
  • Numeric drift physically prevented
c.
Term Sheet Generation
Drafts that survive a borrower's red-line.
  • Indicative one-pager or full 4–6 pp draft
  • Senior debt or mezzanine structures
  • Three audience variants (borrower / broker / counterparty)
  • Pricing built off live spread comparables
  • Editable inline. Every cell tracks back to source
§ IIIDiligence Engine

Where memos earn their voice

A 75-item institutional checklist, run on every deal.

Sponsor, revenue, expenses, capex, debt structure, market, legal — every category a senior credit committee would walk through, resolved as answered, estimated, or missing. Sources cited. Gaps surfaced. Memos quote the items that resolved cleanly. Term sheets fold the missing items into Conditions Precedent. Nothing fabricated.

Resolution model

No silent assumptions.

Every answered item carries at least one citation — om_p14, comp_query_a3f, market_dataset_nyc_mf.

Every estimated item lists the assumption it rests on, in plain English. Confidence is never high on an estimate.

Missing means the underlying document isn't there yet — Phase I, PCA, title commitment. The Lull won't fabricate them. It surfaces them as required uploads.

I.Sponsor7 items5 ans
II.Underwriting Foundation2 items2 ans
III.Revenue14 items9 est
IV.Expenses10 items8 est
V.Capital Expenses5 items2 mis
VI.Business Plan6 items5 est
VII.Debt Structure8 items8 ans
VIII.Market & Macro4 items4 est
IX.Legal · Title · Environmental6 items5 mis
X.Risk Summary (synthesized)3 items3 ans
§ IVReplaces your model stack

Argus + Excel, retired

Same flexibility your model team built over a decade. None of the two-day rebuild.

Today, your team does this

Argus + Excel + a junior with two days.

Open the dev model. Hope it links.
Re-key the rent roll into cash flows.
Pull T-12, retype expense ratios.
CoStar comps. Adjust by hand.
Build SU. Reconcile to OM.
Format. Print. Send. Wait for red-lines.
Two days. One analyst. One PDF.

With The Lull

Four reconciled methods. Four minutes.

Drop OM. Extraction starts.
DCF, DC, Replacement, Comp fire in parallel.
Stack Summary reconciles at the top.
Edit any cell. Others recalc, prose updates.
DCF
$806M
DC
$795M
RC
$830M
Comp
$812M

Reconciled value · $810M ± 2.4%

From the running example

Atlantic Yards II resolves to $810M ± 2.4% across four methods — DCF, Direct Cap, Replacement, Sales Comp. Memo, term sheet, and Stack Summary drafted from the same canonical record.

Read the sample pack →
§ VPipeline Management

Built around how deal teams actually work

Nine stages, one team, every deal, from first look to payoff.

Screening, Underwriting, Initial IC, Quote, Term Sheet, IC, Closing, Asset Management, Payoff. Every stage has its own info gaps, blockers, and next-action queue. Kill-deal flags, reactivate workflows, and timestamped activity logs are baked in. Every stage talks to the CRM and back to Deal Analysis.

  • 9-stage kanban with stage-specific info-gap alerts.
  • Team collaboration · deal sharing · admin controls.
  • Activity log on every status change.
  • Resumable mid-flow. Every screen reopens to where you left off.
Tour the pipeline →

Coverage region · NE

Active deals across the kanban

Screen
Hudson Yards$220M
Brookfield Pl$95M
Underwrite
Atlantic Yards II$48.5M
Term Sheet
Williamsburg$110M
Greenpoint Multi$35M
IC
Bushwick Indus.$58M
Closing
Astoria Office$42M

+ Asset Management · Payoff · Killed · Archived

Median time-in-stage · last 90d

4d screen11d underwrite9d term sheet12d committee22d close
§ VIIntelligent CRM

A CRM that fills itself

Coverage that knows when you've gone quiet — before your contacts do.

Every contact came from a real deal extraction. Coverage targets at 15/30/60/90 days. AI-drafted follow-ups. Gap analysis by metro and asset class. The CRM watches your live deal flow and tells you who's transacting in your zone.

  • Coverage tracker with stale-relationship alerts.
  • AI-generated meeting summaries and follow-up drafting.
  • Market coverage gap analysis by metro + asset class.
  • Deal feed surfaces who's transacting in your zone right now.
Open the CRM →

Coverage pulse · NE Region

Relationship health, this week

186
Active contacts
+12 from new deals
42
In coverage
14/28 hit target
9
Stale ≥ 60d
Drafts ready
3
New gaps
No DFW coverage

Recent activity · this week

  • · Drafted follow-up to Sarah Chen · Goldman
  • · Atlantic Yards II moved to IC
  • · 4 contacts extracted from new OM
§ VIIThe compounding edge

Where the workspace gets smarter than its operator

Every deal you screen makes the next one sharper.

Deal Analysis writes to the same record the Pipeline tracks and the CRM enriches. The system reads your origination focus (what you screen, what you advance, what you kill) and surfaces the deals you should be looking at, the brokers you should be calling, the gaps you should be filling.

DEALANALYSISPIPELINE9 stagesCRMcoveragedealfocusadvancescontacts ↔ dealssurfaces

What it surfaces

Live origination suggestions, drafted from your own deal flow.

The system watches what you screen, advance, and close. It correlates that pattern against the live deal database and your CRM, then drops suggestions where it sees a fit.

  1. 01.
    Origination · suggested
    3 NYC multifamily deals just hit ACRIS in your sweet spot ($30–60M, Class A, 60–65% LTV). Two have repeat sponsors you've underwritten. Open in deal analysis →
  2. 02.
    CRM · stale relationships
    Two brokers you placed deals with last year haven't been contacted in 73 days. Follow-up drafts ready. One has a deal moving in your zone now.
  3. 03.
    Pipeline · gap detected
    Your pipeline has zero DFW exposure but you screened 4 DFW deals in Q1. Coverage gap. Suggested brokers.

Every memo, every term sheet, every valuation reads like it came off the desk of a sixteen‑year veteran at a top-tier institutional CRE shop, because it did. We embedded that craft into the workspace, then handed it to your analyst.

Built by practitioners

Institutional Equity·Structured Debt·Mortgage Investment·CRE Credit
§ VIIISecurity posture
SOC 2 Type II
Audited annually. Report under NDA.
Row-level isolation
auth.uid()-gated reads. Cross-tenant access physically blocked.
Direct upload
PDFs go browser-to-Supabase. Bytes never traverse our app servers.
Your IP stays yours
Inputs never train models. Outputs gated by group_id.

The invitation

Send us the last hard deal you screened. We'll run it through The Lull.

Memo, valuation stack, and term sheet drafted live on the call. We'll show you where it agrees with your team, and where it pushes back.

Run it through The Lull →Download a sample pack

Tracking $110B across 2,500 live deals