USALI 12 · Hospitality-native · Live market data · Investor intelligence
Human hospitality knowledge from 250+ hotel deals, supported by AI. Exportable, fully under your control, every key assumption traceable to its source, plus a read on the capital that fits.
Minutes, not weeks·USALI 12·Editable end-to-end·Excel export
Who it's for
Take on more feasibility work for more clients: screen deals fast, go deep where it counts, and put your name on the output.
Screen lease and management deals at volume: model the hotel as your brand would operate it, see what rent — or what fees — it supports, and give your development team one shared, defensible skeleton per deal.
Stress-test assets and run rebrand scenarios to see which deals justify a full feasibility study.
Match deals to investor thesis, and produce a committee-ready feasibility read fast.
Underwriting a seller's deck? Generate the case without declaring the OM's ADR. The engine returns its own market-derived anchor — conservative by default, traced step by step from a named compset. If the OM says €460 and the independent read says €390, that distance is your analysis. Branch both as saved versions — the market case and the seller's case — and take the gap to your next call.
The problem
€15k–€100k+. 4–6 weeks. Indispensable pre-construction, but hard to iterate at the screening or pre-LOI stage.
Days of work. Breaks at the first scenario tweak. Hard to share with a committee with confidence.
Minutes, not weeks. USALI 12 format. Hospitality finance expertise encoded into every assumption, and you stay in control of every output.
How it works
Location, star rating, room count, F&B mix, ownership structure. Nothing else.
Your competitive set is discovered fresh per project from live market sources, not a pre-stored database. Primary and aspirational comps are separated and fit-weighted using a hospitality-native methodology informed by 35+ European markets.
USALI 12 P&L (Y1–Y10), seasonality-adjusted ADR, F&B revenue per outlet, management fee bands, ramp-up, FTE, contract economics. Occupancy is derived, not guessed: deterministic competitive penetration over per-peer occupancy bands — the same method behind HVS-style feasibility — delivered as a range you can override with your own observed data. Every output is editable in-browser: change a value and the rest of the P&L re-runs. Plus 1,000+ European hospitality investors ranked by thesis fit to your project, with the reasoning behind each match. Export to Excel anytime; no lock-in.
Sample output
Investor matching
1,000+ European hospitality investors curated. Ranked by thesis fit per project.
Methodology
ARI, MPI, RGI, public-vs-realized ADR, channel mix. The exact framework hospitality analysts use today.
Competitors discovered fresh per project from live market sources, then selected through a transparent fit score across positioning, size, facilities and proximity. The same inputs return the same comps, with no run-to-run drift.
Every engine output is clamped against industry ranges (ADR bands, F&B ratios, management fees), so figures stay inside defensible bounds.
First draft from the engine, then iterate. Adjust the compset, retune positioning, edit any P&L line, and watch every downstream KPI update with full traceability. Branch alternate versions and export to Excel anytime.
Every case exports as a living Excel — formulas, methodology and assumptions in one self-contained file. It opens and recalculates in your own Excel with no dependency on our servers: the model you sign stays reproducible from your own archive. No watermark, no lock-in.
Early access
We're onboarding a limited group of operators, developers and investors as founding partners during Early Access.
Professionals across Europe have already joined the waitlist. Limited founding partner slots.
Talk to the team building BluePrinted. Your feedback shapes what ships next.
Founding partners help prioritize features, markets, and segment coverage.
Full access during Early Access. We'll notify you before introducing paid tiers.
Comparison
A decision-grade read in minutes, and a running start for the full study when a deal graduates to formal due diligence. Faster iteration, defensible numbers, ready when the deal moves.
| Feature | Your process today | Generic AI tools | With BluePrinted |
|---|---|---|---|
| Time to a defensible draft | Weeks of assembly | Minutes — but numbers you can't trace | Minutes, anchored in a named compset |
| USALI 12 structure | Yes, built by hand | Rarely, and inconsistent | Always: Y1–Y10, every venue |
| Hospitality methodology | Yours | Generic prose, no method | Encoded from 250+ deals across 35+ markets: penetration, bands, ranges |
| Market data | Bought or gathered per project | Training-data recall, often stale | Observed public rates, collected live per project |
| Named, real compset | Hours of research | Can invent hotels | Discovered fresh and fit-scored per project |
| Editable end-to-end | Fragile spreadsheet links | Copy, paste, re-prompt | Every output; the P&L re-runs |
| Deliverable | Your house template | A wall of text | Self-contained Excel: formulas + methodology inside, recalculates offline |
| Reproducible | Depends on the analyst | Different answer every run | Yes: same inputs + same data month = same plan |
| Version snapshots per case | Manual copies | Chat scrollback | Yes: branch & compare |
| Curated investor matches | Relationship-based | No | Yes: 1,000+ European hospitality investors per project |
| The signature on the report | Yours | Yours, with nothing behind it | Yours — with an auditable trail behind every number |
A hospitality-grade feasibility analysis, with every key assumption traceable to its source.