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Injazat & Lamprell JV Appoints Chief Executive

Injazat, the UAE’s home-grown technology champion in Digital Transformation, Cloud, and Cyber Security, and Lamprell, a leading provider of services to the international energy sector, announced the appointment of Hani El Kurd as Chief Executive for their digital joint venture, AiFlux. Hani will lead this strategic joint venture in bringing to market digital ventures and creating independent revenue streams.

 

Christopher McDonald, Chief Executive Officer of Lamprell said: “Following a long and distinguished career with us, most recently as Chief Operating Officer, we are delighted that Hani is moving into our joint venture with Injazat. He is highly experienced, capable and results oriented and we look forward to seeing him deliver great things as we progress our Digital strategy.

 

Establishing new markets with strategic partners such as Injazat and its parent company G42 are fundamental to the evolution of our Digital business.”

 

Ussama Dahabiyeh, Chief Executive Officer of Injazat said: “Appointing Hani as Chief Executive to the joint venture is a pivotal moment for the business. AiFlux will be well served under Hani’s capable leadership. He has significant experience in scaling businesses and has a strong pulse on the company’s culture and strategic direction. Over recent months we have worked closely on a number of initiatives, and we are excited to see these moving into the next stages of development and value creation. ”

 

Hani El Kurd, Chief Executive for AiFlux said: “Bringing about change and transformation needs strong collaboration particularly when working at the forefront of technology. This is a fantastic opportunity which I am proud to take, and we are looking forward to building the team further in the period ahead.”

 

A 50-50 JV between Injazat and Lamprell, AiFlux aims to create and market digital solutions focusing on the renewables and oil & gas industries. The digital platform utilises cloud computing alongside Artificial Intelligence (AI) and Machine Learning (ML) to provide better heavy asset integrity management by enabling access and insights through to accurate integrity and productivity data utilising the full potential of heavy assets used in the oil & gas and renewables industries.

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