For self-storage facility owners
Sixty thousand facilities, mostly mom-and-pop.
Fund Launch AI turns your storage playbook — sourcing tired facilities, professionalizing operations, managing rates, and expanding units — into a structured fund: aligned terms, an interactive Scroll Deck, a modeled waterfall, and drafted LPA, PPM, and subscription inputs, organized from one source of truth for qualified counsel to review.
Convert your buy box into written acquisition criteria LPs can hold you to
Model pooled-portfolio economics instead of forty separate house spreadsheets
Walk into attorney review with a drafted package, not a blank template
Fund Launch AI helps you prepare and draft. It does not provide legal, tax, investment, or compliance advice, and no capital raise or fund formation is guaranteed.
The fund, in numbers
$100M
Target size
120
Doors modeled
8%
Preferred return
15%
Target gross IRR
150+
Structured fields
10 yr
Hold period
Storage is its own machine
Self-storage runs on economics no other real asset shares: hundreds of month-to-month tenants per facility, near-continuous re-pricing power through rate management on existing customers, low structural CapEx, and a breakeven occupancy low enough to make downside stories genuinely different from apartments. Structurally, that fingerprint runs through the whole fund. The investment object is often an undermanaged facility — mom-and-pop sourced, priced on actual (bad) operations rather than potential — so the thesis is operational conversion: pricing software, marketing, expense discipline, sometimes unit expansion or conversion. Deal flow depends on direct-to-owner outreach in a fragmented market, which LPs will want evidenced, not asserted. Risk concentrates in one place storage veterans know well: new supply. A metro that overbuilds resets street rates for years, so market-selection criteria and supply-pipeline analysis belong in the documents. Term sensitivity follows: expansion and development budget boundaries inside an acquisition fund, leverage against lease-up assets, hold periods long enough for conversion math, and fee structures that don't assume apartment-style asset management. A generic real estate template treats none of this — and a storage-savvy LP will notice within one meeting.
Continuous acquisitions demand a defined buy box and pacing plan — not a single business plan.
DSCR and portfolio debt mean leverage policy must spell out aggregation, cross-collateralization, and refinance behavior.
PM quality, turn costs, and maintenance across scattered assets drive returns more than any single purchase.
Expense assumptions, manager bandwidth, and whether you can deploy at volume without diluting standards.
Acquisition fees on high deal counts, distribution timing against lumpy refinances, and sale proceeds mid-fund.
A qualifying asset defined precisely enough that your buy box is contractual, not aspirational.
A generic real estate template captures none of that.
How storage funds usually get assembled
Storage operators usually reach a fund decision fast — the market is fragmented, deals are findable, and friends keep asking to invest. Then the materials get built from the nearest available parts: a multifamily deck structure, a per-facility spreadsheet, and terms that never contemplate expansion CapEx or rate-management assumptions. The result reads as a real estate fund that happens to mention storage, which is exactly what a storage-literate LP screens out.
The “buy box” lives in your head, so the documents can't enforce the discipline you actually have
Per-house ROI spreadsheets don't aggregate into fund-level economics an LP can evaluate
A syndication-style waterfall gets pasted onto a strategy with continuous acquisitions and rolling refis
Acquisition and management fee stacking across dozens of homes is never modeled — LPs find it first
Nothing explains what happens to refi proceeds: recycle, distribute, or reserve
Your attorney receives a Zillow-flavored strategy summary and bills hours turning it into structure
The build
Your edge is a repeatable conversion: find the undermanaged facility, buy it on actual numbers, professionalize it, manage rates, maybe add units, exit to the consolidators or hold the yield. Fund Launch AI structures the fund the same way you run the playbook — acquisition criteria that describe mom-and-pop sourcing, terms that bound expansion spending, economics that model lease-up and rate management honestly, and drafted documents your attorney reviews as a storage fund from page one.
01
Markets, buy box, price band, rehab scope, management model, target door count, hold and exit logic — in your own words. An existing portfolio becomes track-record context and the template for qualifying assets.
02
Fund Builder converts your system into 150+ structured fields: acquisition criteria, pacing, leverage and refinance policy, fee architecture, reserves, and distribution mechanics — scored against 390+ fund launches.
03
A Scroll Deck that narrates the machine, a pooled waterfall modeled from your actual terms, and drafted LPA, PPM, and sub doc inputs — with benchmarking flags on the terms most likely to draw LP pushback.
04
Send the aligned package to a Fund Launch partner law firm in one click, or hand it to your own attorney. Professional review starts from drafted work that already knows what a qualifying asset is — not a blank page.
The package
Storage diligence has a known shape: prove the sourcing is real, prove the conversion playbook has worked, show the supply screen, and demonstrate the economics don't secretly depend on heroic rate assumptions. The package is drafted against that shape — sourcing evidence structured into the narrative, conversion metrics from your existing facilities, market-selection criteria written as policy, and economics where lease-up, ECRI cadence, and expansion CapEx are explicit inputs rather than buried hopes.
Strategy narrative: markets, buy box, and the repeatable system behind them
Scroll Deck built around portfolio logic, not a single-deal pro forma
Fund structure and terms tuned for continuous, high-count acquisitions
Pooled waterfall and fund economics with refinance and recycling mechanics
Legal Canvas drafting inputs: LPA, PPM, subscription documents, qualifying-asset definitions
Risk-factor drafting inputs specific to scattered-site SFR operations
Capital deployment and pacing plan LPs can hold you to
Attorney-review package with your full decision record
What the platform asks you
These are the storage-specific inputs Fund Builder structures, scores, and threads through every output.
150+
structured fields
The diligence you'll face
Storage attracted institutional attention years ago — which means even individual LPs arrive with the sector's known questions in hand.
01
Why should I invest in your fund instead of buying rentals myself?
02
What stops you from stretching the buy box when deal flow gets thin?
03
Your expense assumptions — turns, maintenance, insurance — look tight. What's the evidence?
04
Who manages 150 scattered doors, and what happens when your PM underperforms?
05
When refinances return capital, does it come back to me or get recycled — and who decides?
06
How do acquisition fees work when you're buying forty houses a year?
07
What's the exit: portfolio sale to an aggregator, retail one-offs, or indefinite hold?
08
What happened on your worst deal, and what changed because of it?
Every question above maps to a structured field in the build. The supply screen becomes written acquisition criteria. The before/after facility evidence becomes a structured track record in the Scroll Deck. The acquisition-versus-development line becomes a documented budget boundary. Benchmarking flags where your leverage or expansion terms would read as aggressive to storage-aware LPs — so you calibrate inside the platform, before the meeting where these questions get asked with money on the table.
Term sensitivity
01
With continuous deal flow, the written buy box is the LP's only protection against drift. Too loose and it's meaningless; too tight and you can't deploy. This is the term SFR LPs read first.
02
A per-deal fee that's reasonable on one house becomes a headline number across forty. The fee architecture has to be modeled at full pacing, not per transaction.
03
BRRRR-adjacent economics live or die on whether refi proceeds can redeploy. Silence here creates a fight later; clarity here is a selling point.
04
SFR cash flow is steady but refinance events are lumpy. LPs need to know what's distributed monthly or quarterly versus held for redeployment.
05
Portfolio debt, cross-collateralization, and rate exposure across many small loans need explicit boundaries — this is where downside scenarios concentrate.
06
Fee on committed versus deployed capital changes your incentive to pace acquisitions honestly, and LPs in high-velocity strategies check.
07
Scattered-site portfolios eat capital in turns, roofs, and HVAC. A stated per-door and fund-level reserve converts the biggest operational fear into a documented plan.
08
Most SFR funds are one operator's system. LPs will ask what happens to their capital if that operator is gone — the documents should answer before they ask.
The platform, applied
Narrates fragmentation → conversion → consolidation with your facility-level before/after numbers as the spine — the exact evidence sequence storage LPs scroll for, with figures that match your documents.
Encodes the storage discipline: supply screens, expansion caps, differentiated leverage, ECRI-aware economics. Ask why the expansion boundary sits where it does and get reasoning you can defend.
Drafts LPA and PPM inputs where development boundaries, distribution-through-lease-up mechanics, and acquisition criteria are already storage-specific — counsel reviews the fund you actually run.
Models lease-up timing, rate-driven NOI growth, expansion CapEx, and distribution mechanics from the same terms your documents state — no separate spreadsheet with different assumptions.
Flags storage-fund terms that draw pushback: aggressive leverage on lease-up assets, unlimited expansion authority, fee stacks across self-managed platforms. See it first.
Tighten the supply screen or lower the expansion cap once — deck, model, and drafted docs update together, keeping the fund internally consistent through every negotiation.
Fit check
Operators with a working SFR system and a real portfolio, ready to pool capital
BRRRR and buy-and-hold practitioners hitting the limits of personal credit and JVs
Teams with property management (in-house or vetted third party) that scales
Managers willing to put their buy box in writing and be held to it
Operators who want counsel reviewing drafted work, not reconstructing strategy
Anyone expecting the platform to supply investors or guarantee a raise
Buyers wanting a “business in a box” with a strategy assigned to them
Operators looking to skip attorney review — final documents require qualified counsel
Anyone seeking legal, tax, investment, or compliance advice from software
Passive-income seekers without an actual acquisition system
FAQ
Can Fund Launch AI structure a self-storage fund specifically?
Yes. The build treats storage's real mechanics as first-class structure: supply-pipeline acquisition criteria, expansion budget boundaries, rate-management assumptions in the economics, differentiated leverage for lease-up versus stabilized assets, and distribution mechanics that survive an expansion-heavy year. It is not an apartment template with new nouns.
Does it replace my attorney?
No. It hands your attorney a drafted, storage-native package — LPA, PPM, and sub doc inputs where the expansion caps, supply criteria, and distribution mechanics are already written and consistent with your deck and model. Qualified counsel reviews and finalizes everything; one click reaches a partner firm, or use your own.
Can the deck handle the "storage is oversupplied" objection?
The Scroll Deck is structured so your market-selection evidence — supply screens, metro data, your facilities' post-acquisition performance — appears where that objection arises. The platform organizes your answer; the argument's strength is your underwriting, presented clearly instead of improvised.
Can it model lease-up and rate-management economics?
Yes. Lease-up timing, existing-customer rate cadence, expansion CapEx, and stabilization assumptions are explicit model inputs tied to the same terms in your drafted documents — so the growth story LPs see is the one your paperwork supports.
Can it help explain supply and rate-sensitivity risk?
Yes. Risk-factor drafting inputs are storage-specific: new supply resetting street rates, lease-up underperformance, rate-management ceilings, and market concentration. Your attorney refines final language from a substantive, sector-correct draft.
I own two facilities and friends want in. Am I ready for a fund build?
That's a common and workable starting point. The build will surface what's decided and what isn't — sourcing pipeline, expansion appetite, hold logic — and benchmarking shows how your working terms compare to market. Whether a pooled fund fits your situation is ultimately a conversation for qualified counsel; you'll arrive at it organized.
What happens when my terms change?
One edit propagates everywhere: adjust the expansion cap, pref, or hold period and the Scroll Deck, waterfall, and drafted legal inputs update together, re-benchmarked. No stale versions, no contradictions for diligence to find.
Is this legal, tax, investment, or compliance advice?
No. Fund Launch AI drafts, structures, models, and benchmarks — it does not advise and is not a law firm, broker-dealer, or registered investment adviser. Final documents and all legal, tax, and compliance determinations belong with qualified professionals reviewing your package.
Your corner of a fragmented market
Describe the storage playbook — sourcing, conversion, expansion, exit. Get back a structured fund with storage-native terms, aligned economics, a Scroll Deck, and drafted legal inputs ready for qualified counsel.
Fund Launch AI does not provide legal, tax, investment, or compliance advice. Fund formation and capital raised are not guaranteed. Final documents should be reviewed by qualified professionals.