In a bid to enhance water management insights, with a focus on advancements in the desalination sector, ENGIE has announced the development of, and investment into Foresea, a new seawater intelligence startup in the GCC.
This initiative is part of ENGIE’s ongoing commitment to investing in startups across the MENA region, with a focus on technologies that enhance desalination and other operational processes. ENGIE’s aim is to reduce environmental impact while improving planning and efficiency in costal industry operations.
Foresea is developing an advanced seawater intelligence to monitor and predict seawater quality over time. Through pilots at desalination plants, ForeSea’s innovative solutions improve plant efficiency, maintenance, and operations by offering superior sea data predictions. The company claims that this investment aligns with ENGIE’s mission to support sustainable, efficient solutions through its Desalination Centre of Excellence, bringing transformative technology to market for clients and partners.
“Desalination is key in addressing water needs in the Gulf, and at ENGIE, we are equally aware of our responsibility to safeguard the environment,” said Latifa Lahsine, Head of ENGIE’s Desalination Center of Excellence. “We believe investing in emerging technologies, like the solutions developed by ForeSea and incorporating these intelligent solutions into our operations. It is not just a step, but a leap towards achieving global sustainability goals.”
With over three decades of service in the Middle East, ENGIE has a considerable history of addressing water scarcity across the GCC. The company operates 19 state-of-the-art desalination plants across the region, producing 7.4 million cubic meters of water daily.
“Our technology offers an unprecedented level of foresight, enabling offtakers and developers to navigate the challenges of seawater quality fluctuations and the impacts of climate change”, said Ahmed El Hosseny, venture builder of ForeSea.
“With desalination IWPs designed to operate for 25 years, our platform de-risks operations in the long term by forecasting variations and helping developers proactively mitigate potential risks. By leveraging machine learning models, we empower operators to anticipate and address operational challenges before they arise.”