Mir'at · Pitch Deck
Industrial · DIGITAL TWIN
Mir'atمرآة
One live 3D model of every asset — GIS, IoT, and visual feeds fused into a single operational surface.
neuriya.ai — Sovereign, Arabic-first enterprise AI
Problem
Operators watch the plant through four separate systems, none in sync
- GIS layout, IoT sensor data, and camera feeds live in three separate systems, so answering "what's happening at this asset right now" means switching screens and reconciling timestamps by hand.
- Sensor readings update in the historian on their own schedule, so operators often work from state that's minutes or hours stale without knowing it.
- A visual check on an asset means physically dispatching someone or pulling up a separate camera system — there's no way to see condition and location together from the console.
- Adding a predictive-maintenance or safety layer means bolting another disconnected dashboard onto an already-fragmented set of screens.
Solution
GIS, IoT, and camera feeds fused into one live 3D model
Product
Mir'at in action
How it works
From first touch to outcome
Model
Every physical asset is mapped into the 3D model, positioned against the site’s GIS layout.
Connect
IoT sensors and field cameras are wired into the model, streaming live state to each asset’s twin.
Monitor
Operators work from one unified view instead of switching between GIS, historian, and camera systems.
Act
Alerts surface directly on the model, so the operational response starts from the same picture everyone is looking at.
Market
Sizing the opportunity
- TAM — $2.4B. MENA industrial digital-twin market
- SAM — $260M. Saudi industrial digital-twin & unified operations market
- SOM — $18M. 3-year obtainable share via design-partner sites
Vision 2030's NEOM and giga-project buildout, alongside GAMI's push to modernize existing industrial sites, is normalizing digital-twin adoption as the default way large Saudi operators expect to run a plant, not an experimental add-on.
Business model
How Mir'at makes money
Per-site twin subscription
Recurring fee priced by number of modeled assets and connected data sources per site.
Predictive-layer add-on
Add-on subscription enabling predictive-maintenance and safety overlays on the twin.
Modeling & integration fee
One-time fee to build the initial 3D site model and connect GIS, IoT, and camera sources.
Revenue streams
Where the revenue actually comes from
Competition
Where we win
Our edge
- Fuses GIS, IoT, and camera feeds into one model rather than shipping three integrations that never actually sync.
- Sub-two-second sensor sync keeps the twin representing current state, not a stale snapshot rebuilt periodically.
- Sovereign, in-Kingdom hosting for the full asset model and sensor history, satisfying PDPL and NDMO Classification requirements global platforms aren't built for.
- Founding team combines Saudi industrial operations experience with 3D visualization and systems-integration engineering.
Traction
Early validation, built for pilot readiness
- Full digital-twin product experience built end-to-end: unified 3D dashboard, asset registry, and asset-twin detail view.
- Architecture pre-aligned to PDPL, NDMO Classification, ISO 27001, and IEC 62443.
- Actively selecting design-partner sites for a first digital-twin deployment cohort.
Go-to-market
Land on one site's model, expand to the full operator portfolio
- 1Land with 1-2 design-partner sites, starting with a full 3D model of one plant's existing GIS, IoT, and camera infrastructure.
- 2Prove operational-response-time gains over a pilot quarter against the operator's current siloed systems.
- 3Expand to additional sites within the same operator, then layer in predictive-maintenance and safety modules.
Team
Built by operators, not just builders
The ask
Raising a seed round to reach first digital-twin pilots
We're raising to fund 3D modeling and real-time sync-engine development, GIS/IoT/camera integration tooling, and the core team through first-revenue pilot deployments.