Smart Water: $22 Billion Reasons to Apply AI in Water


Smart water is a $22 billion industry that has been growing exponentially over the last five years and is making an impact to the lives of billions of people by increasing access to safe water, minimizing operational costs and mitigating the impacts from floods and other water related disasters.

How is this done? How do you integrate GenAI, water models, statistics, machine learning and smart sensor data effectively to build useful solutions?



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Professional training for the next generation of water leaders. From live, expert-led bootcamps to custom corporate workshops, we provide the training, the community, and the platform to lead the digital transformation of our most vital resource. Bring your toughest operational challenge - leave with a working AI solution.

Clean Technology Meets Data Science Blog

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  • Customized Corporate Workshops: Upskill your entire team with high-impact, private training designed around your specific data and goals.
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  • Continuous Learning: On-demand courses designed to achieve mastery, technical templates and the latest tools in digital water
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    Sign up for a workshop to get early access or join the waitlist below





AI FOR WATER: WHAT'S HYPE, WHAT'S HELPFUL


FREE WEBINAR ON APRIL 29TH, 12 NOON PT


Let's talk GenAI, Machine Learning, Digital Twins, Remote Sensing and how these relate to Smart Water Systems. We'll discuss the concepts behind AI, common use cases for the water sector, and have a short demo to showcase what's possible for your organization.

WORKSHOP 1: AI ESSENTIALS FOR WATER


STARTS MAY 11th. LIMITED SEATS


Get started using Large Language Models (LLMs) and Machine Learning with no-code platforms. Build your first AI Agent. This 2-week intensive, live workshop is designed to give you a high level mastery of AI for the water sector

THE 2026 WORKSHOP SERIES


JOIN US FOR ALL FOUR BOOTCAMPS IN 2026.

Start with understanding the basics using no-code frameworks, then build AI Agents on your local machine, and get under the hood with learning to code in Python and building advanced machine learning systems beyond prompting.

Follow a structured learning path to becoming a Digital Water Scientist.










Taught By Water Engineers, For Water Engineers


AI is only as good as the domain expertise behind it. Founded by Gayathri Gopalakrishnan PhD, Ecoformatics combines 20+ years of environmental engineering knowledge with cutting-edge artificial intelligence skills.

Gayathri has been pioneering the integration of machine learning, data science and AI in water, agriculture and energy systems since 2003. Her research has won several awards including from the US National Academies of Science and Engineering and the Obama White House. As an engineer and technical leader, she has led teams at Argonne National Laboratory, Meta and several startups translating complex R&D using LLMs, digital twins and AI into commercial products supporting $10M+ in revenue. She earned a PhD in Environmental Engineer at the University of Illinois, Urbana-Champaign and a Bachelors in Civil Engineering from BITS Pilani, India.

From our Knowledge Base

Robots that monitor water systems

Several companies have been building drones and robots that enable us to collect information about our water systems more frequently and at greater resolution than traditional methods like satellite imagery.


Let's talk about how these systems are built with a combination of hardware, algorithms and operator knowledge...

Experiences in Smart Water - The Singapore Story


How does a small city state use drones, SCADA systems and machine learning algorithms to identify leaks, catch illegal dumping and build a more resilient water system?

Read more

In the weeds: Building an AI system to monitor pipelines


Identifying vulnerable points in a water pipeline network, being able to estimate when repairs need to be done before the pipe fails and sending alerts to operators are critical to ensuring water utilities operate safely and efficiently.

Machine learning and statistics are used to build smart monitoring systems. Read more