Qafila · Pitch Deck
Hajj & Umrah · TRANSPORT OPERATIONS
Qafilaقافلة
Every bus tracked, every driver protected, every engine watched.
neuriya.ai — Sovereign, Arabic-first enterprise AI
Problem
A tired driver or a failing engine is caught after the incident, not before
- Transport operators typically learn a driver was fatigued only after a near-miss or an incident on the road, not from any signal beforehand.
- Vehicle maintenance is scheduled on a fixed calendar rather than actual wear, so an engine, brake, or tire failure can still happen between scheduled services.
- Dispatchers have no consolidated, real-time view of every bus's position and route adherence across the fleet, especially during peak-season surges.
- When a vehicle does go offline or need service, there's no single searchable registry showing which vehicles are active, in maintenance, or offline.
Solution
Fatigue and engine wear flagged before either becomes an incident
Product
Qafila in action
How it works
From first touch to outcome
Track
GPS and telemetry stream continuously from every vehicle in the fleet.
Monitor drivers
Fatigue indicators are watched in real time, well before a driver would self-report tiredness.
Predict maintenance
Wear patterns forecast the next service need days or weeks ahead of failure.
Intervene early
Dispatch reassigns a fatigued driver or pulls a vehicle in for service before it becomes an incident.
Market
Sizing the opportunity
- TAM — $1.5B. MENA fleet-telematics & transport-safety software market
- SAM — $150M. Saudi Hajj/Umrah pilgrim-transport fleet-management software
- SOM — $11M. 3-year obtainable share via design-partner transport operators
Vision 2030's Umrah-capacity growth means more buses, more drivers, and more hours on the road during peak season, and most transport operators still learn about a tired driver or a failing engine only after an incident on the road.
Business model
How Qafila makes money
Per-vehicle subscription
Sold to pilgrim-transport operators, priced by the number of vehicles under active tracking.
Fatigue-monitoring hardware + software bundle
In-cabin monitoring hardware bundled with the fatigue-detection and dispatch software.
Predictive-maintenance add-on
A premium tier for engine, brake, and tire wear forecasting, sold alongside core GPS tracking.
Revenue streams
Where the revenue actually comes from
Competition
Where we win
Our edge
- Driver fatigue and predictive maintenance ship in the same platform as GPS tracking, not as separate systems an operator has to reconcile.
- Built for pilgrim-transport conditions — long peak-season shifts and extreme heat — not adapted from general commercial trucking telematics.
- Sovereign, in-Kingdom data hosting for fleet, driver, and route data, satisfying requirements global telematics vendors aren't built to meet.
- Founding team combines Saudi transport-operations experience with hands-on predictive-analytics engineering.
Traction
Early validation, built for pilot readiness
- Full fleet-management product experience designed and built end-to-end: live tracking, fatigue monitoring, predictive maintenance, and vehicle registry.
- Architecture pre-aligned to PDPL, NDMO Classification, and ISO 27001.
- Actively selecting design-partner transport operators for a first pilot cohort.
Go-to-market
Land on a single fleet, expand across the transport network
- 1Land with 1-2 design-partner transport operators, starting with a subset of the fleet during a peak season.
- 2Prove fatigue-incident reduction and maintenance-cost savings over a pilot season against the operator's current process.
- 3Expand to full fleet coverage and additional transport operators across future seasons.
Team
Built by operators, not just builders
The ask
Raising a seed round to reach first transport-operator pilots
We're raising to fund fatigue-detection hardware deployment, predictive-maintenance model tuning, and the core team through first-revenue pilot deployments.