Our Mission

About Furat

Our Vision

To be a regional leader in sustainable water management, empowering communities and industries with innovative solutions that ensure access to clean, safe, and reliable water resources, while preserving the environment for future generations.

Our Story

What if the water we rely on — to drink, to grow, to green the future — carried unseen risks?

In one of the world’s most water-scarce nations, rapid urban growth is driving demand. Saudi Arabia is meeting this with massive investments in wastewater reuse and initiatives like the Saudi Green Initiative, which depends on treated water to thrive.

But detection of bacterial contamination still takes days — risking public health, regulatory penalties, and trust. There’s no scalable, real-time solution.

That’s why we built Furat: an AIoT-powered system that brings instant, intelligent water monitoring to the source. Because when the stakes are this high, water safety can’t wait.

Furat is an AIoT-based water quality monitoring system designed to deliver real-time bacterial contamination data using smart sensors and predictive analytics. Traditional lab tests take days — Furat gives you insights in minutes, helping safeguard public health, optimize operations, and reduce costs.

Our team

Our cross-functional team brings together expertise in AI, IoT, water systems, and business strategy to turn complex challenges into practical solutions.

Jana Alghamdi

Jana is a TIE Master’s student at KAUST with a background in Computational and Applied Mathematics from Rice University. She has experience in financial analysis, AI research, and resource optimization, and has led interdisciplinary projects with partners like Acwa Power. She’s also participated in regional fellowships and business competitions.

Remas Bashanfar

Remas is a TIE Master’s student at KAUST with a B.S. in Computer Science and Engineering from UCLA. She brings experience from Bain & Company and Procter & Gamble, where she worked on national policy initiatives and data-driven retail optimization. Her background spans ML research, full-stack development, and community leadership in women-in-STEM initiatives.

Layan Kutbi

Layan is a TIE Master’s student at KAUST with a B.S. in Computer Engineering from Virginia Tech. She has worked on AI-integrated sensor systems at Saudi Aramco and contributed to cybersecurity policy development. Her background includes embedded systems, digital design, and software engineering, with recognition in national informatics competitions and sustainability hackathons.

Omar Gazdar

Omar is a TIE Master’s student at KAUST with a B.S. in Information Technology and Computing from AOU. He has experience in full-stack and GIS development, building geospatial tools and embedded systems that bridge hardware and software. His strengths lie in end-to-end product development and cross-functional engineering execution.