Desert Technologies AI initiatives are expanding across clean energy projects and operational workflows in Saudi Arabia. The company is advancing into a broader phase of technology integration, combining engineering practices with automated systems to support project delivery and decision-making.
The Jeddah-based company integrates artificial intelligence to improve operational efficiency across multiple business units. Furthermore, the company applies machine learning models to strengthen its core operations in the clean energy and smart infrastructure sectors.
Expanding Desert Technologies AI in Engineering
In technical engineering departments, the company developed in-house tools to automate the review of tenders and contracts. Specifically, these tools use locally hosted language models combined with optical character recognition in Arabic and English to process documentation.
Engineering teams also extract technical data from solar project schematics. In addition, internal software performs cable sizing, grounding calculations, electrical protection design, short-circuit studies, and energy-yield forecasts while verifying compliance with the Saudi Building Code, IEC standards, and the National Electrical Code.
Executive Leadership and Technology Strategy
The company appointed Eng. Albaraa Althagafi as Chief Technology and AI Officer to lead this technical expansion across all divisions.
“From the early stages of the development of Desert Technologies’ business, innovation and the adoption of advanced technologies have been an integral part of our vision for developing our activities in the energy sector.”
Eng. Albaraa Althagafi, Chief Technology and AI Officer
Althagafi stated that the company continues to deploy automated solutions across design, data analytics, digital delivery, solution development, operations, and maintenance.
Operational Analytics and Solar Plant Automation
In clean energy operations, the organization uses artificial intelligence to analyze live operational data and track asset performance. Predictive maintenance systems detect irregularities in inverter and battery-string operations.
Moreover, intelligent diagnostic tools classify equipment faults and determine maintenance priorities. The company also deploys autonomous cleaning robots to maintain solar power installations and protect power generation output in utility facilities.
Software Development and Future Outlook
As part of wider apps & software modernization, the firm utilizes automated programming assistants to build internal tools, dashboards, and reporting systems like the Invoice Tracker platform. These digital steps align operational goals with the long-term economic objectives of Saudi Vision 2030.
