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Fillment
Every Unit. Filled.
LP FAQ · Five questions every LP asks first
Straight answers to the five LP objections we hear most
Before any LP wires a check they ask the same five things: how big is the market, what stops Yardi or RealPage from doing this, what are the unit economics at $1.50 per unit, what is the regulatory and resident-data risk, and what does the exit set look like. Below are the answers, with industry estimates and public comparables framed as such.
How big is the addressable market here?
The total U.S. rental housing stock runs roughly 24M apartment units (Census / ACS-derived industry estimate, not a Fillment figure). Our addressable subset is the professionally-managed slice — 200+ unit portfolios, REITs, and boutique firms using a modern PMS — which is on the order of half the stock, ~12M units. At our $1.50/unit ARPU that is a ~$200M/year SAM at full SOM penetration, and our working assumption is low single-digit share over the next 3–5 years. Every number above is an industry estimate; current traction metrics are in the deck.
What stops Yardi or RealPage from doing this themselves?
Two asymmetric moats. First, the inbound-message loop — we sit where Yardi and RealPage do not, because they sit downstream of it. The first-party PM relationships and the real inquiry + tour data flowing through nightly are ours. Second, their buyers pay for control, not automation, so a fully automated reply product is a surface Yardi will not ship. Migration cost reinforces the lock-in: switching a PMS is a multi-quarter project, swapping an inquiry-response layer is a single weekend. Regional call-centers (Real Synergy, Ellis, and similar) compete on labour arbitrage — an AI cost curve breaks that.
What's the gross margin on $1.50/unit/month?
The $1.50/unit ARPUs hold up against the $149/month floor under portfolios of ~100 units as a linear price; below that the floor kicks in. Variable COGS is LLM inference for the inquiry-response loop plus outbound SMS — order-of-magnitude estimate is low-tens of cents per handled inquiry at current model pricing, not a real P&L. Our working contribution-margin band is ~70–80% gross, expected to improve as prompt-cache hit rates climb. These are forward-looking targets, not filed actuals; current actuals are shared on request under NDA.
What's your exposure to FHA, TCPA, fair-housing, and SMS state laws?
In scope: the federal Fair Housing Act, state fair-housing acts, TCPA, the Florida Telephone Solicitation Act, the Oklahoma mini-TCPA, Washington's CEMA, and CCPA / CPRA. FCRA exposure is bounded because applicant and credit data stays in the PMS — Fillment stops at inquiry and tour booking, so we never sit on a consumer report. Guardrails shipped in the product: no auto-decisioning on protected-class inputs (the LLM is never given race, family status, disability, or source-of-income); every outbound message routes through a manager-review queue (no fully-automated send); SMS cadence caps and quiet-hours enforced at the integration layer; opt-out honoured within seconds.
Who are the comparable exits in PropTech and vertical AI SaaS?
These are public reference points, not a forecast exit multiple. In PropTech, the closest public-market peer is AppFolio (historical ~10x ARR trading multiple range). RealPage has a track record of acquiring category-leaders including Kigo and Modern Message; Yardi's private M&A pattern runs longer. In vertical AI SaaS, Harvey AI (legal) and Tennr (healthcare operations) have reported meaningful funding traction as reference points; LayerPath sits closer to a comparable-curve deal. None of this is a forecast for Fillment — it is the category context an LP will ask for.
Want the deck?
Traction metrics, the full unit-economics walk, and the data-room link go directly to leaseiq-2@polsia.app.