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Optimizing Waterflows Using Machine Learning and IoT

Optimizing Waterflows Using Machine Learning and IoT

Singapore-based SpaceAge Labs is applying the latest in machine learning and IoT sensors to bring an antiquated industry into the modern age

The AWS Startup Podcast · Amazon Web Services

September 4, 202026m 5s

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Show Notes

From large metropolises like Singapore to smaller villages in places like Thailand, water is a constant need that flows through any community. And with climate change accelerating, the demand to properly manage this vital utility has never been higher. SpaceAge Labs, and CEO Deepak Pitta, are on a mission to help solve this growing problem by applying that latest in machine learning and IoT sensors, bringing an antiquated industry into the modern age.

“At the beginning of the company, our team looked at the consumer market and saw how advanced technologies were being integrated into everything,” says Pitta. “This for some reason hadn’t been applied to the utilities industries, which is exactly what we’re doing.” Using a combination of sensors, low-power wireless connectivity, and machine learning to crunch the data, SpaceAge Labs is able to offer up new insights on how to monitor and manage not only water, but a variety of other utilities that are necessary for any community.