Yusr · Pitch Deck
Hajj & Umrah · CROWD FLOW MANAGEMENT
CCTV-based crowd density mapping for the Prophet's Mosque, with a Rawdah token system and 30-minute forecasts.
neuriya.ai — Sovereign, Arabic-first enterprise AI
Problem
Solution
Product




How it works
Existing CCTV feeds are analyzed continuously to score crowd density by zone.
The model projects which zones will approach or exceed safe capacity within the next half hour.
Time-slotted tokens, synced with Nusuk, keep Rawdah visits within safe capacity per slot.
Operators apply recommended diversions ahead of the forecasted congestion, not in reaction to it.
Market
Masjid an-Nabawi draws some of the densest sustained crowds of any religious site in the world during Hajj and Umrah peaks, and Vision 2030's 30-million-Umrah-visitor target makes proactive crowd management, not reactive queue control, a stated operational priority for the Kingdom.
Business model
Subscription priced by the number of mosque zones or camera feeds under active monitoring.
Sold to the authorities responsible for mosque operations and crowd management, not to individual visitors.
One-time fee to connect the time-slotted token system with the Nusuk platform.
Revenue streams
Competition
Traction
Go-to-market
Team
The ask
We're raising to fund density-forecasting model validation against real crowd footage, Nusuk token-system integration, and the core team through first-revenue pilot deployments.