Aquasight

AI to the Rescue of Utilities

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Mahesh Lunani, Founder and CEO, AquasightMahesh Lunani, Founder and CEO
In French explorer Jacques Yves Cousteau’s words, “We forget that the water cycle and the life cycle are one.” True enough, water forms the lifeline of any community. However, the actual steps involved in the urban life cycle of water – from sourcing water to its treatment, distribution, collection, to treating wastewater and finally returning the treated water back to the water bodies – largely stay out of public sight. The intricacies of this complex system are handled by utilities, which have assets like pipe network, meters, pumps, treatment plants, water characteristics that have the potential to provide a lot of data on the utility system. Yet, the utilities tend to lack the ability to mine all that data due to the absence of a common platform that integrates all the information on a real-time basis, creating efficiency gaps, and unable to detect blind spots in water management.

Enter Aquasight – a Troy, Michigan-based water management tech company that provides innovative solutions to all sorts of issues associated with water life cycle. Armed with an industry-first common real-time digital AI platform for mining data from utilities’ infrastructure catering to 50,000 water utilities and 16,000 wastewater management entities in the US alone, Aquasight is laser-focused on creating digital footprint of the entire life cycle of water. “O&M efficiency, asset intelligence, risk management, knowledge retention and efficient capital allocation are the five key themes by which our common digital platform provides value across the entire water life cycle,” says Mahesh Lunani, founder and CEO of Aquasight. Focusing on municipal water, Aquasight addresses the challenges utilities face in like detecting leakages, assessing conditions of pumps and blowers, predicting water quality, inflow & infiltration reduction, and helps them become more proactive than reactive. “We can provide utilities a solution that doesn’t cost as much and is able to deliver lots of value,” adds Lunani.

Water, Wastewater, and More

Containing five times more energy than what is required to treat it, wastewater forms a crucial portion of the water life cycle. $100 billion are spent each year in maintaining wastewater operations, out of which nearly half is spent on the activated sludge treatment process. Seeking to lower operations and maintenance costs, APOLLO, Aquasight’s wastewater management solution, utilizes AI, asset intelligence and real-time advisors to deliver a comprehensive wastewater treatment solution to utilities. Lunani mentions an instance where Aquasight implemented AI-assisted optimal air to solve the issue of over/under aerating during active sludge treatment in a wastewater plant, saving $10,000 per month of low/ no cost benefits for a 10 MGD plant, which is a relatively small size operation.
APOLLO has been implemented for plants ranging from 650 MGD to 1.8 MGD daily average treatment.

According to Lunani, three factors help Aquasight set itself apart from other players – deep knowledge of real-time AI, vast experience in the water management vertical, and the ability to configure the technology as per the needs of various water systems – be it of cities, villages or townships – which makes Aquasight’s platform inherently scalable. “We don’t have to spend time coding every time we encounter a new system – we can simply configure it,” Lunani adds.

Throwing light on the configurability of Aquasight’s system, Lunani gives a series of examples where Aquasight has helped solve its clients’ diverse water woes. In one instance, Aquasight reduced the time spent on in-home leakage detection for its customer from 30 days to 2-4 days, resulting in huge savings; while in another one, it used predictive intelligence to detect low water quality and low chlorine hotspots – both active and potential – in a city, which helped the city water authorities run flushing programs, thereby raising water quality and chlorine levels. In another case, a customer’s need to keep a tab on the date and amount of water purchased was fulfilled by automatic updates from Aquasight’s digital assistant SAMI, without the customer having to look into the system. Elsewhere, Aquasight did robotic process automation for a community looking to maintain its water utility asset’s condition, life and risk levels – a time-consuming task – and automated 95 percent of the system, saving significant time.

Efficiency, asset intelligence, risk management, determining spending areas and knowledge retention are the key themes by which our digital platform provides value across the entire water life cycle


Noting the wide scope of Aquasight’s solutions, Lunani points out the need for utilities to keep an open mind toward companies willing to invest in innovative solutions designed for the utilities sector as the industry continues to evolve. “Utilities have to be ready to look for new players in the market that they may have not been used to in the past and embrace them,” he opines.

As per Lunani, growth is the numero uno criteria for Aquasight. “Growth can happen in three categories - our solution portfolio, customer base and regional expansion,” he remarks, affirming Aquasight’s focus on growing itself in the utilities tech sector. But water is not the only vertical that Aquasight intends to limit itself to in the long run, for Aquasight seeks to provide its technological expertise to diverse sectors like manufacturing, oil and gas too. For now, Aquasight is well set on a trajectory to transform water cycle management in never-seen-before ways.
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Company
Aquasight

Management
Mahesh Lunani, Founder and CEO

Description
Aquasight has built a single artificial intelligence infrastructure for the entire water cycle. The common infrastructure is being used by 100+ CVT sites (cities, villages, townships) large and small with six plug and play solutions and can scale to any community. For utilities and engineering consulting firms, Aquasight is providing great economies of scale without needing to invest in digital infrastructure, resources, algorithms and technology.