APOLLO - Action-as-a-Service Platform

❌ The Problem: Broken Experiences

The $1.2 trillion experience economy suffers from massive friction and revenue loss:

Critical pain points:

Long wait times kill satisfaction (avg 45min theme park queues)
Fragmented booking across multiple apps/sites
No real-time optimization of experience flow
Billions lost to operational inefficiency
Poor personalization despite rich data

✓ The Solution: Agentic Orchestration

APOLLO transforms experiences into executable actions via UCP-powered AI agents:

Real-time queue optimization and dynamic routing
Unified action layer across all experience touchpoints
AI agents handle booking, scheduling, flow optimization
Predictive capacity management
Seamless cross-venue orchestration

Product Suite

Two Platforms, One Agentic Core

🎢 Hyperion - US Theme Parks

Target: Disney, Universal, Six Flags

Problem: $2.8B lost annually to queue inefficiency

Solution: AI-powered flow optimization, dynamic FastPass allocation, predictive crowd routing. Increase guest satisfaction while boosting per-guest revenue 15-25%.

Status: Market research complete, pilot discussions initiated

🎭 Aegis - Brazil Live Events

Target: Rock in Rio, Lollapalooza, Live Nation venues

Problem: 30%+ no-show rate, poor cross-sell, fragmented experiences

Solution: Agentic ticketing layer with dynamic pricing, real-time capacity optimization, and predictive concessions. Capture lost revenue from last-minute demand.

Status: Partnership discussions with major festival operators

The Technology

UCP-Powered Agentic Execution Layer

Architecture Overview

Universal Commerce Protocol (UCP) Integration:

AI agents execute actions across any experience platform
Real-time queue state → agent decision → action execution
Cross-venue orchestration (park hopping, multi-event packages)
Predictive modeling for capacity and demand

Core Capabilities:

Dynamic routing optimization (reduce wait times 40-60%)
Predictive booking based on behavior patterns
Real-time pricing optimization
Automated concessions pre-ordering
Seamless cross-sell orchestration

UCP Protocol Next.js 14 React Native Python FastAPI Google Cloud Platform BigQuery ML Gemini Pro Real-time ML PostgreSQL Redis Stripe Connect

Go-to-Market Strategy

Phase 1: Hyperion (US) - 2026 Q2

Pilot with mid-tier regional theme park
Validate 40%+ queue reduction metrics
Demonstrate 15%+ per-guest revenue lift
Build case studies for Disney/Universal pitch

Phase 2: Aegis (Brazil) - 2026 Q3

Partner with 2-3 major festivals (Rock in Rio, Lolla BR)
Deploy dynamic ticketing + concessions AI
Capture last-minute demand with predictive pricing
Expand to Live Nation Brazil venues

Development Status

Current Phase: Seed Stage

Completed:

Market sizing and opportunity analysis
UCP integration architecture designed
Competitive landscape assessment
Initial target customer outreach (3 theme parks, 2 festival operators)

In Progress:

MVP development (Hyperion queue optimization module)
Partnership discussions with regional theme park
Brazil market research (Aegis validation)
Seed funding preparation

Next 6 Months:

Launch Hyperion pilot with 1 theme park partner
Validate queue reduction and revenue metrics
Initiate Aegis pilot with 1-2 Brazil festivals
Raise seed round ($2-3M target)
Build out core engineering team

Action-as-a-Service for the Experience Economy