NEOM is one of the world's largest future projects, representing a vision for comprehensive digital transformation in city management and environmental governance. Its digital infrastructure relies on an integrated system that connects infrastructure with operational sectors through a single AI-powered platform. This platform analyzes massive amounts of data from millions of sensors, issuing instant alerts and predicting malfunctions before they occur.

The need to link disparate sectors — energy, transport, construction and environment — into a unified operating system

Assimilation and analysis of data coming from millions of sensors distributed across the entire infrastructure

Improving overall performance and increasing the effectiveness of institutional processes

Improving overall performance and increasing the effectiveness of institutional processes
Student beneficiary
Trained teacher
A well-equipped school
Improvement in results

Using deep learning algorithms to predict breakdowns before they occur has transformed the maintenance pattern from reactive to proactive preventive, saving huge operating costs.

Relying on PPP (Public-Private Partnership) models and Islamic sustainability instruments provided sustainable financing linked to the actual performance of the project.

Integrating energy, transportation, construction, and environmental risk management into a single platform has enabled a comprehensive view and faster, more accurate decisions.

Using real-time data in traffic, energy, and environmental risk management has increased response efficiency and enabled continuous performance improvement.