Masar · Pitch Deck
Aviation · DISRUPTION RECOVERY
Masarوكلاء استعادة الرحلات
When a flight breaks, the recovery plan should already be drafted — not being argued about in six WhatsApp groups.
neuriya.ai — Sovereign, Arabic-first enterprise AI
Problem
Disruption recovery is still fought out over the radio and WhatsApp
- When a flight is delayed, cancelled, or diverted, crew, slot, gate, and bag decisions are worked out separately across different teams, often in parallel and in conflict with each other.
- Rising Saudi traffic under Vision 2030 — Riyadh Air's launch, new routes to NEOM and Red Sea International, Hajj and Umrah peak surges — multiplies both the frequency and complexity of irregular operations.
- Crew re-assignment proposals are checked against GACA duty-time limits manually, often after the fact, creating regulatory exposure under time pressure.
- Every disruption is resolved from scratch, with no ranked, auditable set of recovery options — the fastest voice in the room wins, not necessarily the best plan.
Solution
Agents draft a coordinated recovery plan the moment a flight breaks
Product
Masar in action
How it works
From first touch to outcome
Detect
A delay, cancellation, or diversion trips a threshold and opens a disruption case automatically.
Draft
Agents propose a ranked recovery plan across crew, slot, gate, and bag — with duty-time and rule checks already applied.
Approve
A controller reviews the ranked options and impact, and approves one plan in a click.
Execute
Approved changes push automatically to crew, gate, and passenger systems — no manual re-entry.
Market
Sizing the opportunity
- TAM — $1.8B. MENA airline & airport disruption-management and ops-recovery software market
- SAM — $150M. Saudi airline/airport IROPS recovery and crew-ops software
- SOM — $12M. 3-year obtainable share via design-partner airlines and airports
Saudi carriers are scaling fleets and route networks fast under Vision 2030 — Riyadh Air, Saudia, and flyadeal all expanding — while GACA tightens operational and duty-time oversight, raising the cost of every unmanaged disruption.
Business model
How Masar makes money
Per-airline / per-airport operational license
Annual license priced by flight-movement volume, covering the recovery-drafting engine.
Per-seat ops-controller console
Subscription priced per active controller seat in the ops control center.
Implementation & integration fee
One-time fee to connect AODB, FIDS, and airline ops/crew systems.
Revenue streams
Where the revenue actually comes from
Competition
Where we win
Our edge
- Only recovery engine that drafts crew, slot, gate, and bag proposals together, pre-checked against GACA duty-time and crew agreement rules.
- Sovereign, PDPL-aligned, NDMO-classified infrastructure required for airline and airport ops-control data.
- Full audit trail built in from day one — essential for regulatory review after major disruption events.
- Founding team combines Saudi aviation operations experience with real-time multi-agent AI engineering.
Traction
Early validation, built for pilot readiness
- Full recovery-drafting product experience designed and built end-to-end: disruption detection, ranked plan drafting, one-click approval, downstream notification.
- Architecture pre-aligned to GACA, IATA IROPS, PDPL, NDMO Classification, and ISO 27001.
- Actively selecting design-partner airlines and airports for a first pilot cohort.
Go-to-market
Land on one ops-control center, expand across the network
- 1Land with 1-2 design-partner airlines or airport ops-control centers for a first IROPS pilot.
- 2Prove recovery-time and approval-speed gains over a pilot season, including a peak period such as Hajj or summer travel.
- 3Expand via GACA and airline-group relationships, integrating with neuriya Nasij's unified operational record.
Team
Built by operators, not just builders
The ask
Raising a seed round to reach first airline and airport pilots
We're raising to fund the multi-domain recovery engine, GACA duty-time and audit-trail compliance work, and the core team through first-revenue pilot deployments.