Confidential Strategic Brief

Project Ares AI

The AI-Powered Client Experience Conglomerate

Kevin Marasco  ·  Chief Growth Officer

April 2026  ·  For select distribution only

Act 1 — The Insight
The Core Insight

BVTTR isn't a restaurant product.

BVTTR is an AI client experience engine for appointment-based, high-touch service businesses. The restaurant is the first vertical instantiation — not the only one.

🍽

Restaurants

Where we started. Proven.

🔁

Repeatable Engine

Same AI core, new vertical modules.

🏛

Conglomerate Vision

5 verticals. One platform. $B outcome.

Every vertical we enter shares the same DNA: appointment-based, high-touch, personalization-hungry, and drastically underserved by current tech.

Act 1 — The Insight
What BVTTR Proved

14 Prime: Real Results, Real Revenue

+26%
Check Lift
$134 → $169 avg
13% → <2%
No-Show Reduction
40%+
Guest Reply Rate
47-71x
Return on Investment

$10-20K / mo

Owner willingness-to-pay (unprompted)

III Forks Inbound

100% organic — 3 locations, zero outbound

Michelin Prediction

AI correctly identified Michelin inspector visit

These aren't projections. They're live metrics from a single pilot deployment.

Act 1 — The Insight
Vertical Scoring Framework

9-Factor Fit Assessment

What makes a vertical work for the Ares engine — scored 1-5 each (max 45)

1
Ticket Size
Higher avg transaction = more AI value per interaction
2
Recurrence
Repeat visits = compounding personalization
3
CX Virality
Clients share great experiences organically
4
Appointment-Based
Structured touchpoints for AI orchestration
5
Upsell Potential
Natural add-on revenue opportunities
6
Personalization Depth
Data richness enables differentiated CX
7
No-Show Cost
High cost per missed appointment = urgent pain
8
Buyer Type
Owner-operator = fast decisions, high conviction
9
Tech Stack Fragility
Incumbent tools are weak = lower switching cost

A vertical scoring ≥ 37/45 is a strong candidate. All five Ares verticals clear this threshold.

Act 2 — The Restaurant Bowling Alley
Restaurant Expansion Map

Bowling Pin Strategy: Restaurants

Sequential market capture — each pin funds and de-risks the next

PIN 1
Fine Dining
3-5K venues
PIN 2
Upscale Chains
Multi-location
PIN 3
Upscale Casual
Higher volume
PIN 4
Casual Dining
Mass market
3-5K
Fine dining venues US
$43-72M
Fine dining SAM
$47-312K
Chain ACV range
Act 2 — The Restaurant Bowling Alley
Pin 1 — Fine Dining

BVTTR: Current State

Product — Shipped & Live

  • AI-powered guest experience orchestration
  • Predictive no-show prevention (13% → <2%)
  • Personalized pre-visit engagement (40%+ reply)
  • Real-time guest intelligence & preference memory
  • Staff-facing AI copilot for service optimization
  • Michelin-grade VIP detection algorithms

Pipeline Signal

III Forks (3 locations) — 100% organic inbound. Zero outbound sales effort required. Product sells itself at this tier.

Validated Metrics

Check Lift +26%
No-Show Reduction 85%
Guest Reply Rate 40%+
ROI Multiple 47-71x
Owner WTP $10-20K/mo
Act 2 — The Restaurant Bowling Alley
Restaurant Revenue Trajectory

$9M → $31M → $60M ARR

Sequential pin expansion — each tier unlocks the next

Pin 1
Fine Dining
$9M
Pin 1+2
+ Upscale Chains
$31M
Pin 1-3
+ Upscale Casual
$60M
Pin 1 Focus

3-5K fine dining venues
$14-18K ACV · High-touch

Pin 2 Unlock

Upscale chains / multi-location
$47-312K ACV · Enterprise sales

Pin 3 Scale

Upscale casual segment
Volume play · Product-led growth

Act 3 — Cross-Vertical Expansion
The Expansion Thesis

AI Enables Hyper-Shortened Learning Cycles

The Traditional SaaS Playbook

  • Build for one vertical over years
  • Hire domain experts for each new market
  • 12-18 month ramp per vertical
  • Separate codebases and teams
  • Linear cost scaling

The Ares AI Approach

  • Clone the validated engine — don't rebuild
  • AI learns vertical nuances from data, not people
  • 3-6 month ramp per vertical
  • Shared core with pluggable modules
  • Marginal cost per vertical decreases

Each new vertical doesn't start from zero — it starts from everything BVTTR already knows about AI-driven client experience.

Act 3 — Cross-Vertical Expansion
Vertical 2

GLSSM Beauty & Wellness 42/45

Sub-Segments

MedSpas $87B by 2034

14%+ CAGR · Highest scoring sub-vertical

High-End Salons $60.6B market

1.05M establishments · Massive TAM

Premium Spas Part of $150B+

Combined beauty & wellness market

Why It Scores Highest

  • Appointment-native — entire business is scheduled
  • Extreme personalization (skin types, history, preferences)
  • High no-show cost ($150-500+ per missed slot)
  • Upsell-rich (treatments, products, packages)
  • Clients share results on social — viral CX loop
  • Owner-operators make fast buying decisions
  • Incumbent tech is fragmented and weak

Killer use case: AI remembers a client's skin sensitivity from visit 1, adjusts product recommendations on visit 3, and proactively suggests the seasonal treatment she loved last year.

Act 3 — Cross-Vertical Expansion
Vertical 3

PRVNT Healthcare 41/45

Sub-Segments

Concierge Medicine / DPC $38.9B by 2032

10.3% CAGR · Premium patient CX

Cosmetic Dentistry $48.8B by 2032

19.4% CAGR · Elective, high-value

Combined market: $87B+ · Both segments are cash-pay, elective, and CX-driven.

Strategic Moats

  • HIPAA compliance as competitive moat
  • Cash-pay / elective = no insurance complexity
  • Patients choose on experience, not network
  • $2-50K+ per patient treatment plans
  • Extreme personalization needs (medical history)
  • No-show costs are severe ($200-1,000+ per slot)
  • Massive before/after virality (cosmetic dentistry)

HIPAA is a moat, not a barrier. Once you're in, competitors can't easily follow.

Act 3 — Cross-Vertical Expansion
Vertical 4

CLBHS Private Clubs & Resorts 39/45 38/45

Sub-Segments

Private Clubs 39/45

Country clubs, city clubs, golf clubs

Boutique Resorts 38/45

Luxury independents, resort collections

Highest LTV per customer of any vertical. Members pay $10K-250K+ annually and expect white-glove treatment.

Why Clubs & Resorts

  • Highest LTV per customer of any vertical
  • Members expect hyper-personalized service
  • Multi-touchpoint (dining, golf, spa, events)
  • Strong word-of-mouth within member networks
  • GM/operators have budget authority
  • Legacy tech stack — desperate for modernization
  • Cross-sell natural: club dining → BVTTR integration
Act 3 — Cross-Vertical Expansion
Vertical 5

PAWZZ Premium Veterinary 37/45

Market Snapshot

US Veterinary Market $35B+

Growing with pet humanization trend

Target Sub-Segment

Premium / specialty vet clinics, emergency animal hospitals, concierge veterinary practices. Not commodity vet — the "fine dining" of animal care.

The PAWZZ Thesis

  • Pet parents are the most emotional buyers in any vertical
  • 10-15 year customer lifetime value per pet
  • Clients evangelize their vet obsessively
  • No-shows are costly (specialized equipment, time blocks)
  • Multi-pet households = natural expansion
  • Wellness plans + specialty care = rich upsell
  • Incumbent tech is generic PMS — low bar to beat

Unique angle: AI remembers that Max is anxious at visits — pre-sends calming instructions, schedules longer slots, alerts staff. Pet parents would pay anything for this.

Act 3 — Cross-Vertical Expansion
Vertical Scoring Matrix

All Verticals Ranked

9-factor assessment · Max score 45

Vertical Ticket Recur. Virality Appt. Upsell Personal. No-Show Buyer Tech Total
MedSpa 555555543 42
Concierge Med 554555543 41
High-End Salon 455545443 39
Private Clubs 554455344 39
Boutique Resorts 545455343 38
Cosmetic Dent. 545544443 38
Premium Vet 455544433 37
Boutique Fitness 354534443 35
Luxury Auto Svc 443543444 35
Nail / Day Spas 254533343 32
Act 3 — Cross-Vertical Expansion
Platform Architecture

Shared Core + Pluggable Verticals

Vertical Modules
BVTTR
Restaurants
GLSSM
Beauty
PRVNT
Healthcare
CLBHS
Clubs
PAWZZ
Veterinary
API LAYER
ARES AI Core Engine
Guest Intelligence
Profile · Preferences · History
Engagement AI
Comms · Personalization · Timing
Prediction Engine
No-shows · Upsell · VIP Detection
Staff Copilot
Recommendations · Alerts · Coaching
DATA LAYER
Integration Hub
POS · EHR · PMS · Booking
ML Pipeline
Training · Inference · Feedback
Compliance Layer
HIPAA · PCI · SOC2
Act 4 — Distribution Strategy
The Distribution Challenge

Great Product. Now How Do You Distribute It?

The Problem

BVTTR has product-market fit in fine dining. The product sells itself at the top tier.

But each new vertical means a new buyer, new channels, and new trust to build — from scratch.

The question isn't if these verticals will work. It's how fast can you own the distribution channel for each one?

The Insight

Don't just build distribution.

Buy it. Borrow it. Build it into media.

The fastest path to owning a vertical isn't more SDRs — it's controlling the information layer that operators already consume.

Act 4 — Distribution Strategy
Distribution Playbook

The 8-Strategy Menu

Ranked by speed-to-trust × scalability

1
Trade Association Partnerships
Exclusive endorsements from industry bodies — instant credibility
2
Media Acquisition
Buy distressed trade publications — own the information layer
3
Marketplace / Platform Play
Embed in existing booking/payment flows operators use
4
AI Agent Distribution
AI agents that deliver value before the sale — free-to-paid pipeline
5
Benchmark / Audit Tools
Free CX audit → data capture → qualified lead
6
Conference Circuit
Keynotes + booths at vertical-specific events
7
Referral Networks
Operator-to-operator word of mouth with incentive structure
8
SaaS Roll-Ups
Acquire small vertical SaaS tools for their customer base
Act 4 — Distribution Strategy
Deep Dive

The Media Acquisition Play

Own the information layer. Own the vertical.

Precedent

HubSpot × The Hustle

HubSpot acquired The Hustle (newsletter + media) to own distribution to SMB operators. Turned content subscribers into product pipeline. Same playbook applies to vertical trade media.

The Opportunity

Trade publications in hospitality, beauty, and healthcare verticals are distressed assets. Print is dying. Digital ad revenue is declining. These brands have loyal audiences and zero tech capability.

The Math

Acquisition Cost $500K - $3M
Audience Size (typical) 50K - 200K
Effective CAC $2.50 - $15
vs. Enterprise SaaS CAC $5,000 - $25,000

One trade publication acquisition can collapse the CAC for an entire vertical entry by 100-1000x.

Act 4 — Distribution Strategy
Combined Approach

Layered Distribution Stack

How the strategies combine per vertical entry

Layer 1 — Media & Content · Own the information layer
Layer 2 — Partnerships · Trade associations + marketplace embeds
Layer 3 — Product-Led · AI agents + benchmark tools + free audits
Layer 4 — Community · Conferences + referral networks
Layer 5 — Inorganic · SaaS roll-ups for customer base acquisition
BVTTR
Layers 1-4 active
Conference-led + media
GLSSM
Layers 1-3 priority
Media + product-led
PRVNT
Layers 2-3 priority
Association-led + HIPAA moat
CLBHS
Layers 2+4 priority
Referral + conference
PAWZZ
Layers 3-4 priority
Product-led + referral
Act 5 — The Math
Revenue Model at Maturity

~$184M Combined ARR

All verticals at scale — restaurants through veterinary

BVTTR
Restaurants
$60M
GLSSM
Beauty
$50M
PRVNT
Healthcare
$40M
CLBHS
Clubs
$22M
PAWZZ
Veterinary
$12M
~$184M
Combined ARR at Maturity
5
Verticals · Shared Core
1
AI Engine · Infinite Leverage
Act 5 — The Math
Enterprise Valuation

$1.8B — $2.8B Enterprise Value

At SaaS multiples of 10-15x on ~$184M ARR

Conservative · 10x Multiple
$1.84B
$184M × 10x ARR Multiple
Aggressive · 15x Multiple
$2.76B
$184M × 15x ARR Multiple

Why 10-15x Is Reasonable

  • AI-native SaaS commanding premium multiples
  • Multi-vertical platform = diversification premium
  • High NRR from upsell + vertical expansion
  • Proprietary data moats deepen with each customer
  • Repeatable playbook proven across verticals

Comparable Reference Points

Vertical SaaS leaders (Toast, Mindbody, ServiceTitan) trade at 8-20x revenue. AI-native platforms with cross-vertical optionality sit at the higher end.

Act 5 — The Math
Execution Roadmap

Timeline & Sequencing

What to do at each inflection point

Now

Prove the Engine

  • Scale BVTTR Pin 1 (fine dining)
  • Close III Forks + 3-5 more pilots
  • Document the playbook meticulously
  • Begin GLSSM market research
  • Identify trade pub acquisition targets
$20K MRR

First Expansion

  • Launch GLSSM (MedSpa) pilot
  • Acquire first trade publication
  • Begin PRVNT (healthcare) research
  • Build cross-vertical data layer
  • Hire vertical-specific GTM lead
$50K MRR

Multi-Vertical

  • BVTTR → Pin 2 (upscale chains)
  • GLSSM operating at scale
  • Launch PRVNT pilot
  • Evaluate CLBHS + PAWZZ timing
  • Series A positioning
Project Ares AI

The AI-Powered Client Experience Conglomerate

BVTTR GLSSM PRVNT CLBHS PAWZZ

Kevin Marasco

Chief Growth Officer

Confidential — For Select Distribution Only

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Confidential