Strict Saudi Personal Data Protection Law (PDPL) and National Data Management Office (NDMO) rules require spatial data to remain strictly within the Kingdom.
Enterprise GIS & GeoAI Systems for Saudi Arabia & Vision 2030
Production-grade enterprise GIS modernization, GeoAI, satellite remote sensing, and spatial data engineering for Saudi government entities, giga-projects, utilities, and enterprise developers.
You probably need this when…
Legacy desktop GIS setups cannot handle the massive data volume, speed, and 3D requirements of Vision 2030 giga-projects.
GIS, BIM, and IoT systems operate in silos, preventing real-time municipal and site operational visibility.
Commercial GIS software licensing costs escalate rapidly without delivering automated spatial intelligence.
What the engagement delivers
Every item is tied to an acceptance owner and evidence. Final scope is confirmed after data, security, and integration review.
SDAIA/PDPL compliance and spatial data governance assessment
Local Saudi sovereign cloud architecture (Google Cloud Dammam, Oracle Cloud Riyadh, or client private VPC)
Enterprise PostGIS, MapLibre, and cloud-native GIS implementation plan
BIM-to-GIS integration pipeline for giga-project construction and asset handover
Arabic and English bilingual web mapping applications and spatial decision dashboards
Runbooks, security documentation, and knowledge transfer for local Saudi engineering teams
From evidence to operational handover
- 01
Audit & Compliance Review
Assess spatial data architecture against Saudi NDMO, SDAIA, and CITC regulatory frameworks.
- 02
Local Architecture Design
Architect sovereign cloud deployment utilizing Google Cloud Dammam or secure on-premise VPC.
- 03
Pilot & Pipeline Build
Deploy high-throughput spatial data pipelines, PostGIS clustering, and automated GeoAI models.
- 04
Handover & Capability Building
Provide complete source code, documentation, and technical training to local operational teams.
How value is verified
No vanity accuracy number. Evidence is chosen around the operational decision and agreed before delivery starts.
- ✓100% in-kingdom data residency compliance verified against PDPL and NDMO criteria
- ✓Sub-second rendering of millions of national parcel and network features via vector tiles
- ✓Successful deployment across Saudi enterprise infrastructure with local Arabic support
Frequently asked questions
How do you ensure compliance with the Saudi Personal Data Protection Law (PDPL)?+
All architectures are engineered to deploy strictly within Saudi borders—utilizing in-kingdom regions such as Google Cloud Dammam, Oracle Cloud Riyadh, or private client-controlled on-premise data centers. No sovereign data leaves the Kingdom.
Do you build bilingual Arabic and English GIS interfaces?+
Yes. All web mapping applications, spatial dashboards, legends, and attribute search components are built with native RTL (Right-to-Left) Arabic and LTR English support.
Can you integrate with national Saudi spatial platforms like GASGI and NSDI?+
Yes. We build interoperable OGC-compliant services (WMS, WFS, CSW) and schema transformations designed to interface with the General Authority for Survey and Geospatial Information (GASGI) standards.
How do you support Vision 2030 giga-projects with massive BIM and 3D data?+
We deploy automated BIM-to-GIS LOD pipelines that convert heavy Revit and IFC files into streaming 3D Tiles, allowing multi-gigabyte master plans to render smoothly in standard browsers.
What is your engagement and billing structure for Saudi entities?+
We accept payments in Saudi Riyals (SAR) or USD, offering fixed-price discovery milestones, phased deliverable contracts, and enterprise retainer models aligned with Saudi government procurement guidelines.
Can your team work on-site in Riyadh or Jeddah?+
Yes. While core engineering is executed via secure remote access, architectural discovery workshops, milestone reviews, and executive handovers can be conducted on-site in the Kingdom.
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Bring us the problem, not a perfect brief.
Three fields start the conversation. An engineer will help determine fit, data readiness, and the smallest useful next step.
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