The Recommendation Economy
PRIMA
Whitepaper
Version 1.0 · July 2026
One Network. Every Experience. Everybody Wins.™
$11.6 trillion industry. Zero interoperability. Until now.
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Contents
Table of
Contents
Executive Summary
The connective
tissue of hospitality.
PRIMA is a performance-based B2B2C platform linking the world's finest restaurants, hotels, residences, nightlife and events into one transparent revenue-sharing network. Not a consumer reservation app. The rails underneath one.
Hospitality is a $11.6 trillion industry, roughly 10% of global GDP, and it remains catastrophically fragmented. 89% of travelers report frustration with the experience of accessing it. Five-star hotels, luxury residences, corporations and concierges plug in and give guests one-tap access. Every participant who helps place a guest earns.
$40
Avg revenue per booking
50 / 50
Share with demand partners
$0
Customer acquisition cost
Traction: 400+ of the world's best restaurants, 11 live and imminent markets, 95 of Miami's 100 best restaurants. MILA, the highest-grossing independent restaurant in America, runs its VIP channel on PRIMA. Founder Alex Zhardanovsky co-founded AzoogleAds, $200M+ annual revenue.
Word of mouth is the oldest form of commerce. It has never had a rail. PRIMA is that rail.
Introduction to PRIMA
Two decades of client
dinners revealed a mechanism.
The story starts in 1999 with affiliate marketing. AzoogleAds grew from $2.1M to $200M+ per year across seven offices, 1,000+ advertisers including Netflix, eBay, American Express and Discover, and 44,000 publishers. Twenty years of client dinners at the best rooms on earth revealed the same mechanism running underneath every reservation: favors, concierges, promoters, and shoeboxes of cash envelopes backstage.
Demand does not begin when someone pays. It is only priced at that moment. It is created the instant someone says: you have to go here.
Airlines have loyalty rails. Cards have interchange rails. Hotels have distribution rails. Word of mouth has no rail. PRIMA is building the Recommendation Economy: the missing settlement layer for the way high-value hospitality demand actually moves through the world.
Market Overview
Four converging
sectors. One rail.
$11.6T
Global hospitality
~10% of GDP
$6T
Annual word-of-mouth spend
89%
Travelers frustrated
Global Hospitality & Travel
180B restaurant covers and 8B hotel room nights per year.
Luxury Dining & Experiences
Luxury experiences growing ~5x faster than luxury goods (Bain). Top rooms cannot scale supply, only allocation.
Concierge & Lifestyle Management
Miami concierges on PRIMA earn up to $30K per month.
The Recommendation Economy
Affiliate, influencer and loyalty capture <1% of the $6T motion.
Market Overview II
Category capital
is already moving.
Tier-one buyers have built mid-market positions and now need top-of-pyramid coverage. Precisely where PRIMA sits.
| Deal | Acquirer | Value | Year |
|---|---|---|---|
| OpenTable | Priceline | $2.6B | 2014 |
| Resy | American Express | ~$250M | 2019 |
| The Infatuation | JPMorgan | Undisclosed | 2021 |
| Velocity Black | Capital One | ~$300M | 2023 |
| Tock | American Express | $400M | 2024 |
| SevenRooms | DoorDash | $1.2B | 2025 |
~$1.6B disclosed in the last twelve months
PRIMA sits at a structural whitespace: vertical luxury combined with channel-led B2B2C distribution, where no incumbent operates.
Competitive Analysis
We sit above the
reservation layer.
Reservation platforms (OpenTable, Resy, Tock, SevenRooms) are restaurant SaaS, not demand channels. PRIMA sits above them and sends bookings into them. Concierge networks (Quintessentially, Ten, John Paul, Aspire) are the channel PRIMA powers. Partners, not competitors.
| Vector | PRIMA | Dorsia |
|---|---|---|
| Distribution | B2B2C white-label | D2C paid app |
| CAC | ~Zero | Paid social |
| Restaurant economics | 50 / 50 share | Minimum spend |
| Guest profile | Pre-qualified HNW | Self-selected |
| Data | Powers partner's guest | Owns guest |
| Friction | Existing concierge channel | Separate app |
Dorsia: $50.4M raised, $146M valuation, ~30k members.
Competitive Analysis II
Nine reinforcing
moats.
Card-issuer concierges (Amex Centurion, Sapphire Reserve, Velocity Black, Aspire) hold the wallet and need the layer. Acquirers, not competitors. Hotel loyalty programs (Bonvoy, Honors, Hyatt) are captive and need cross-brand inventory.
Software is commoditizing. The only durable moats are the ones AI cannot replicate: distribution, network effects, vertical depth, trust.
Risk factors: incumbent response, market saturation, execution dependency on local hires.
The PRIMA Experience
One night
on the rail.
8:12 PM
Miami. Marta and David cannot agree on dinner.
8:19 PM
A concierge opens PRIMA. Live inventory of top restaurants.
8:45 PM
A Mediterranean room is booked. Confirmation lands inside the restaurant's own system, with guest context.
9:02 PM
Attribution credits the concierge before dessert arrives.
11:20 PM
The server offers the next step on the same rail. A beach bar pays the restaurant a routing fee for the guest.
One guest. Three venues. Three settlements. One rail. Everyone who created value in the chain earns from the chain. And all the guest experienced was a night that flowed.
Platform Overview
A hospitality OS.
Three sides, one trusted layer.
01
Guests
02
Demand
03
Supply
Live inventory, direct placement into SevenRooms, OpenTable and Resy. No new tech, no training. Verified guest profiles, concierge tooling, curator lists. Demand covers hotels, residences, corporations and concierges. Supply covers restaurants, events, nightlife and wellness.
The Rail · Seven Layers
Business Model
Performance,
not subscriptions.
Nobody pays unless money is made.
50 / 50
Revenue share
60%
Prime fees to venues
$0
CAC
$40
Avg per booking
Demand partners
Route guests in and earn worldwide on every booking.
Venues become distributors
A waitlist is a demand engine. A reservation book is a distribution channel.
Prime inventory monetization
Venues set prime slots, pricing and deposits.
Curator program
One link. 50% of every booking fee, paid monthly. Earning up to three years on repeat visits.
Business Model II
Unit economics
that compound.
A soft Wednesday
$6,000
30 incremental covers · $200 avg check · ~5% cost of acquisition versus 10 to 15% for traditional marketing.
Vertical expansion underway
- Events & Experiences
- Nightlife
- Wellness
- Luxury Travel · Yakt
Other revenue: partner introduction fees, white-label residential, corporate programs, artist and festival curation (the missing royalty on live culture), and data-enriched personalization.
Go To Market
The Miami
playbook.
95 / 100
Best restaurants
40+
Hotel partners
6,500
Bookings · April 2026
KW Properties is the official luxury concierge for 30,000+ residential units. Live: Miami, NYC, Ibiza. Imminent: London (pre-sold), Paris, Madrid, Barcelona, Boston, Toronto, Philadelphia, Chicago, D.C. Each market needs one to two hires who speak the local hospitality language.
The difference between five markets and thirty is headcount, not technology.
Partners
Loews · Fontainebleau · Waldorf Astoria · Palladium Group (~30% of Ibiza luxury rooms) · Marriott pilot · DraftKings · Fora Travel (12,000+ agents) · Fanatics · Dion · Odevo · Trinity NYC (Google, PayPal, Anthropic tenants).
None were paid integrations. They came because PRIMA pays partners more.
The Network Effect
Features can be copied.
A network cannot.
~70% of tech value creation comes from network effects (NFX). PRIMA runs three loops at once: supply, demand and data.
No cold-start problem: the consumer side was onboarded by other companies over the last decade. PRIMA plugs demand distribution into supply and never buys users one click at a time.
The Recommendation Economy
Word of mouth
has had no rail.
Airlines have miles. Hotels have points. Cards have interchange. Word of mouth has had no rail at all.
Curator layer
One link monetizes an entire trip: villa, dinners, boat day, spa, transfers, nightlife.
Professional layer
Concierges earning up to $30K per month in Miami.
Cultural layer
An artist announces a city and a regional economy reprices in twelve hours. The missing royalty on live culture.
Universal status: the frequent flyer program for luxury hospitality.
In 1999, the internet figured out how to reward a recommendation. Almost thirty years later, the real world still has not. That is what we are building.
Financial Model
Miami proof.
Then every market.
Miami · Restaurants only
| Year | Bookings | Revenue | Growth |
|---|---|---|---|
| 2025 (actual) | 4,000 | $160K | — |
| 2026 | 16,000 | $640K | +300% |
| 2027 | 32,500 | $1.3M | +103% |
| 2028 | 61,900 | $2.5M | +90% |
| 2029 | 103,400 | $4.1M | +67% |
| 2030 | 150,000 | $6.0M | +45% |
Each new market scales faster
| Year | New market | Miami |
|---|---|---|
| Year 1 | 20,000 | 4,000 |
| Year 2 | 65,000 | 16,000 |
| Year 3 | 100,000 | 32,500 |
| Year 4 | 130,000 | 61,900 |
| Year 5 | 150,000 | 103,400 |
Why conservative: $40 per booking is a floor. Zero CAC. Restaurants are only the baseline.
Financial Model II
Two cases.
One trajectory.
Case 1 · Capital Light · $10M · 50 markets
| Year | Markets | Revenue |
|---|---|---|
| 2026 | 11 | $8.6M |
| 2027 | 20 | $34.5M |
| 2028 | 30 | $73.9M |
| 2029 | 40 | $126.1M |
| 2030 | 50 | $186.8M |
Case 2 · Market Dominance · $25M · 100 markets
| Year | Markets | Revenue |
|---|---|---|
| 2026 | 15 | $11.8M |
| 2027 | 30 | $49.7M |
| 2028 | 60 | $121.5M |
| 2029 | 80 | $230.9M |
| 2030 | 100 | $356.0M |
Vertical multiplier · 5 verticals
Case 1 · $934M
Case 2 · $1.8B
Use of funds
~75%
People
~15%
GTM & events
~6%
Product infra
~4%
Working capital
Raising SAFE financing. Lead investors receive board observation rights.
Roadmap
From spec
to global rail.
The spec & the foundations
2008 marketplace spec. AzoogleAds and PetFlow proof. Team assembled.
Building the rail
Seven-layer architecture. Miami supply. Concierge tooling v1.
Miami marketplace launch
August 2025. 95 of 100 best restaurants. Advisory board October 2025.
Multi-market expansion
NYC and Ibiza live. London pre-sold. 400+ restaurants. 1,000+ affiliates.
Consumer app & demand activation
Odevo, KW, Loews, Fontainebleau, Marriott pilot. 11 – 15 markets.
Phase 1 · 30+ markets
London, Paris, Madrid, Chicago, Tokyo, Singapore, Dubai.
Vertical & partnership layer
Nightlife, events, wellness, travel. Artist, festival and loyalty integrations.
Phase 2 · 60 – 100 markets
4.7M – 8.9M annual bookings. $187M – $356M restaurant revenue. Verticals toward $1.8B.
Executive Team
Operators who have
built this before.
Alex Zhardanovsky
Founder & CEO
Co-founded AzoogleAds, $200M+ per year, sold to PE. Founded PetFlow, $0 to $1M+ per month in year one. Two decades of two-sided marketplaces.
Patrick Venn
COO
Former Head of Enterprise at Tock. Built the sales org behind Tock's $400M Amex acquisition. Amex Global Dining.
Alexander Bothe
CTO
Founder, FireBoard Intelligence. Former CTO OPTIKKA (ESPN, Warner Bros). VP Engineering, Redflag AI.
Jonathan Schwartz
Partner
Brand partnerships across TAO Group's 70+ venues in eight countries.
David Graff
General Counsel
Former VP Global Policy & Standards at Google. Advisor to CapitalG.
Operators & Leadership
Kevin Dash · Alex Julian · Louis Diaz (Pacha Group) · Andrew Weir · J.B. Kirschner · Omar Salahi · Ryan Delehanty · Cooper Skaggs · Adam Zhardanovsky.
Notable Investors & Advisors
Dean Tsakanikas (Noble 33) · Michael Ridard (Riviera Dining Group / MILA) · Daniel Solomon (E11EVEN) · Emi Guerra (Breakwater) · Doug Osrow (Spotlight.Vegas) · John Marshall (AirWatch, $1.54B exit) · Steve Rattner (Dragon Global) · Matt Smith · Jacob Shure (h.wood) · David Zelouf (Mohari) · Steven Marder (BTIG) · Bill Spector.
Disclaimer
Informational
purposes only.
This document is for informational purposes only. It does not constitute an offer or solicitation of securities. No offer is made in the United States absent registration under the Securities Act of 1933 or an available exemption from such registration.
Forward-looking statements represent indicative scenarios and are not forecasts. Actual results may differ materially. Recipients should conduct their own analysis and consult professional advisors before making any investment decision.
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