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.
Define the strategy and fund terms in one working record
Model economics from the same assumptions used in investor materials
Prepare an organized package for qualified counsel review
Illustrative only. Fund Launch AI provides software and educational tools. It does not provide legal, tax, investment, fundraising, or compliance advice. Any targets, returns, fees, timelines, model outputs, or fund terms shown are hypothetical examples and are not performance claims, projections, or guarantees. Fund formation, capital raised, regulatory approval, profitability, and investment results are not 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.
Define the investments the fund may pursue and the boundaries of the mandate.
Set deployment, reserve, leverage, and liquidity rules that match the assets and investor terms.
Record who sources, approves, monitors, values, and reports on each investment.
Show how the strategy, track record, team capacity, and downside controls support the proposed fund.
Explain fees, allocations, conflicts, distributions, and manager discretion before documents circulate.
Write the eligibility rules and approval authority clearly enough for the team and counsel to apply.
Generic fund language leaves these operating decisions unresolved.
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 investment thesis uses language that never reaches the draft terms.
The model carries assumptions the investor materials do not explain.
Risk and liquidity decisions arrive after the economics are already set.
Fees and expenses are described differently across investor materials and counsel notes.
No current record shows who can approve exceptions or change the strategy.
Counsel receives fragments and spends review time reconstructing decisions the team already made.
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
Explain the mandate, target investments, proposed terms, team, and open decisions in plain English.
02
Fund Builder organizes the strategy into fields for economics, risk, governance, reporting, and legal drafting.
03
The Scroll Deck, economic model, term record, and legal inputs draw from the same fund information.
04
Send the organized record to a Fund Launch partner law firm or your own attorney. Legal review starts with the fund record instead of 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.
Investment thesis and mandate with defined boundaries
Scroll Deck tied to the fund's current strategy and economics
Fund structure and terms based on the manager's operating plan
Economic scenarios using the proposed fees and distribution rules
Legal drafting inputs for the LPA, PPM, and subscription documents
Risk-factor inputs drawn from the strategy and operating record
Capital deployment and reporting policies prepared for LP review
Attorney-review package with the current decision record
What the platform asks you
These are the storage-specific inputs Fund Builder structures, scores, and threads through every output.
200+
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.
Build your fund

Turn 200+ fields into one clear record for your strategy, terms, fees, and risks.
Prepare legal inputs

Organize legal inputs from the same fund record. Send them to qualified counsel for review.
Present the fund

Share a clear investor story built from the same facts. Keep it tied to your terms and numbers.
Fit check
Rewrite your strategy in every file
Keep your deck, model, and terms in separate tools
Track each change by hand
Send scattered notes to your lawyer
Find gaps during LP review
Record each key choice once
Use one record for your deck, model, and terms
Keep connected work tied to the same facts
Send organized inputs to qualified counsel
Fix gaps before the first serious LP call
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 provides software, educational tools, templates, and strategic guidance only. Fund Launch is not a broker-dealer, registered investment adviser, law firm, tax adviser, placement agent, or funding source. It does not provide legal, tax, investment, fundraising, or compliance advice; offer or sell securities; solicit investors; provide clients or deals; assign a business model; or guarantee fund formation, capital raised, regulatory approval, profitability, earnings, or investment results. Nothing on this page is an offer to sell or a solicitation of an offer to buy securities, a franchise, distributorship, passive-income system, earnings program, or other business opportunity. Users must bring and define their own strategy, source their own opportunities and investors, conduct their own diligence, and remain responsible for operations, fundraising, compliance, and investment decisions. All examples, targets, model outputs, returns, fees, timelines, and fund terms are illustrative and may not reflect actual results. Outputs are drafts and must be reviewed by qualified legal, tax, accounting, and compliance professionals. Engagement of a preferred law firm is separate and subject to that firm's own terms; Fund Launch does not control or guarantee the firm's services. Past results, if any, are not indicative of future outcomes.