Vela
Vela reimagines food delivery as an AI-native dish discovery platform that eliminates the paradox of choice plaguing incumbent marketplaces. Rather than forcing users to browse hundreds of restaurants and thousands of menu items, Vela inverts the model: users express what they crave, and intelligent
The Problem
For Consumers: • Intention-Based Discovery: Natural language search ("authentic carbonara") replaces restaurant browsing, reducing decision time from 23 minutes to under 3 taps • Predictive Quality Assurance: Proprietary machine learning models score individual dishes 1-10 with 87%+ accuracy, replacing unreliable restaurant averages with dish-specific quality predictions • Dynamic Delivery Optimization: Real-time arbitrage across multiple delivery partners automatically selects the optimal balance of speed and cost for each order • Transparent Economics: Tiered subscription model (Essential/Pl
Market Opportunity
Total Addressable Market
$85 billion
Serviceable Available Market
$1.5 billion
Serviceable Obtainable Market
$10M
Market Trends
• The Shift from Restaurant-First to Dish-First Discovery Consumers are abandoning the "browse restaurant → browse menu" paradigm. The documented 78% decision fatigue rate among current delivery app users signals market readiness for intent-based search ("carbonara" not "Italian near me"). AI-powered query parsing and dish-level quality scoring transform restaurants into fungible ingredient suppliers, prioritizing the specific craving over brand loyalty. • Privacy-Sovereign AI Architecture Regu
Product Screens
Dashboard
Tablet
Desktop