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Executive Summary

Water scarcity is one of the world’s most complex problems. We can’t solve it all. But by zooming in, and getting really in-the-details, we can find overlooked micro-problems that unlock macro-solutions.

This philosophy is what led us to water desalination plants, and the issue of harmful algal blooms (HABs).

These blooms can shut plants down for over a week, cutting output by up to 40% and costing $200K–$700K per day in lost production and maintenance. If detected early, operators can adjust intake, switch sources, or activate pre-treatment systems before contamination hits.

Our goal is to predict harmful algal blooms before they form, and we believe machine learning and AI poses undoubtedly the clearest pathway forward to achieve just that.

We’re currently in talks trying to pilot launch in water desalination plans based in Fujairah, UAE.

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Predict Blooms Early.

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Deliverables

One-pager

Research Article

Prototype Demo

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Expert Validations

❤️ Thank You

Thank you to the XPRIZE team for the opportunity to be part of this challenge. It’s been an incredible experience to take an idea we really believe in and bring it to life. We appreciate the space to explore, build, and share something that we hope can make a real difference.

Naman Jain, Noah Barbaros, and Kevin Theivendran