Operating real estate ecosystem

The investment ecosystem for operating real estate

One record, many readers. It lives with the property forever.

The same asset gets modeled six times by six parties who never reconcile. PATL is the one run they all read from: underwriting, capital and insurance, broker connections, asset management and the data layer, all views of the same record.

  • Pre-revenue · fifteen modules in production
  • Raising $1.25M pre-seed

The founder underwrote at

Marriott Universal Orlando Resort Walt Disney Parks and Resorts Xenia Hotels & Resorts Hyatt

Prior experience · not an endorsement

Hotel facade
Hotel lobby
Hotel guestroom

The problem

Six rebuilds of the same asset, none of which reconcile.

The broker, the buyer's analyst, the lender's credit team, insurance, investment committee and asset management each build their own. Everyone abandons the model at closing, which is the exact moment it becomes worth something.

40:1deals underwritten for every one that closes

Why it is still unsolved

The incumbent is Excel. These assets price by the night.

Real estate investment software was built multifamily-first, which means it models leases. Four asset classes do not have them, and one engine that models a nightly rate serves all four.

The long game

Nobody records what was believed at the moment of the decision.

STR, CoStar and NIC MAP know what an asset earned. What anyone believed it would earn is missing, because none of them owns the model. PATL freezes the assumption set, the engine version and the timestamp, then joins them to the realized result years later.

Market

$1.07B in software TAM. We enter through the $343M hotel wedge.

Bottom-up from sourced asset counts, resolved to buying entities rather than buildings: 62,000 US hotels resolve to 17,416 owner entities, alongside 52,300 storage facilities, 28,000 for-profit independent, assisted-living and memory-care senior housing properties and 525,000 professionally managed short-term-rental units. Each class splits into four owner tiers and prices off the same rate card.

Software TAM

$1.07B

US and international subscription layers · $1.37B with near-term marketplace · band $910M to $1.37B

Entry wedge · hotels

$343M

Hotels, full stack, US · $468M including international · the class we are in market with today

SAM

$32M

Hotels only at current scope · $58M across four classes at R2 scope

Held separately

$116M

The data wedge, licensing revenue, excluded from every projection

The broker platform is the smallest layer — the acquisition channel, not the market. Asset management ($352M) and the marketplace ($298M) are both larger than the hotel entry wedge's own subscription line ($131M), the phase-upsell thesis showing up as geometry instead of assertion.

TAM by layer · nothing summed across revenue types without saying so

LayerSegmentTAMRevenue type
1Hotels, US$131MSubscription
1bHotels, international$125MSubscription
2Broker OM / listing platform$34MSubscription + per listing
3Storage, STR, senior housing$496MSubscription
5Asset management & reporting$352MSubscription
4Insurance & loan marketplace$298MTransaction, unlicensed mechanics
4bSame, licensed mechanics$394MTransaction, month 42+
6Data wedge$116MLicensing, held outside projections

The marketplace is sized three ways — gross flow $83.6B, intermediary fee pool $1.67B, and what PATL can reach with unlicensed mechanics $298M. Only the third figure is in TAM.

The arc

A software company that becomes a data company

Six phases build the software, and they stand on their own. Four more turn what that software collects into a second business. The sequence only runs one direction: you cannot start at phase eight.

Scroll →

Phase 1 · Software

Underwrite

Hotel engine, extraction, lender or investor package.

Phase 2 · Software

Transact

Debt sizing, PIP, deal room. Self storage added.

Phase 3 · Software

Raise

Waterfalls, LP portal, management agreement module.

Phase 4 · Software

Own

Variance to underwriting. The spine of everything after.

Phase 5 · Software

Exit

Valuation, disposition, buyer offering memorandum.

Phase 6 · Software

Network

Marketplace and the first data products.

Phase 7 · Data

Record

Sponsor underwriting record. Senior housing added.

Phase 8 · Data

Benchmark

Licensed benchmarks per class, including agreement terms.

Phase 9 · Data

Distribute

API and feeds inside other people's products.

Phase 10 · Data

Standard

The taxonomy everyone else measures against.

The software is how we acquire the data, and the data is what makes it hard to replace.