Featured innovators from Imagine H2O’s portfolio addressing network and NRW management:

1. SmartTerra (India) 
AI-powered analytics platform to create a dynamic digital model of a water utility’s network and customers to reduce water loss and improve revenue
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2. WI.Plat (S. Korea)
An integrated, complete solution for NRW management utilizing cost-effective acoustic sensing, high precision sensors and a digital app for field validation
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3. WEGoT Utility Solutions (India)
Ultrasonic smart meter and analytics to track consumption and leakage for residential and commercial properties
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4. Fluid Robotics (India)
AI-based SaaS, FluidAI, that automates wastewater pipeline inspections to significantly improve productivity for utilities, contractors and EPCS as well as FluidHealth which monitors wastewater infrastructure through in-pipe robots to reduce untreated discharge into water bodies
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Featured innovators from Imagine H2O’s portfolio working on water quality monitoring:

1. TracWater (Australia)
Self-powered, multi-sensor robots for physical and chemical water quality measurements in real-time to monitor pipelines and water sources for utilities
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2. AquAffirm (UK)
Rapid, low-cost and easy-to-use enzyme strip-testing technology and digital monitoring platform for real-time detection and mapping of arsenic and fluoride contamination
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3. EnvironSens (Singapore)
IoT-enabled water toxicity sensor for real-time warning detection in water bodies and sewer networks
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4. SENTRY (Canada)
Low maintenance, real-time feed forward monitoring for operators to make decisions that save time and energy for optimized treatment performance
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Featured innovators from Imagine H2O’s portfolio addressing wastewater treatment and reuse:

1. Hydroleap (Singapore)
Novel electrical treatment technology that incorporates smart automation to mitigate passivation and corrosion consuming less than 1kWh/m3 for difficult-to-treat wastewaters
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2. DigitalPaani (India)
Lifecycle management software for wastewater treatment that optimizes and automates workflows for end-to-end plant operations
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3. Indra Water (India)
Easy-to-install and IoT-enabled 5-200 KLD decentralized electrical treatment systems with 75% less footprint than competing solutions
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4. Gross-Wen Technologies (US)
Algae-based wastewater treatment for municipal and industrial applications while recovering and recycling nutrients into slow-releasing algal-based fertilizer
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Featured innovators from Imagine H2O’s portfolio that are improving drinking water access:

1. Drinkwell (Bangladesh)
Novel filtration technology using a nanotechnology-based resin that removes arsenic and fluoride along with water ATMs through a unique PPP cost-sharing financing model with utilities
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2. Liquinex (Singapore)
Compact water purification system of varying sizes using ceramic UF and UV-LED disinfection for mobile deployment in disaster-affected, remote communities or for residential use
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3. Typhon Treatment Systems (UK)
Dynamic UV-LED reactor design applying small, low-power LED light sources to high flowrate UV water treatment eliminating mercury use for uninterrupted disinfection
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4. BlueTap (US)
Decentralized, easy-to-install and affordable self-powered chlorine doser to provide clean drinking water
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Featured innovators from Imagine H2O’s portfolio with applications in the food & agriculture sector:

1. PureActive Water (Singapore)
Patented electrolysis technology, ActivH2O, that provides chemical-free water, sanitation and disinfection solutions by generating a long-lasting natural oxidant
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2. EF Polymer (India)
Biodegradable polymer that retains and releases water slowly to maintain soil moisture throughout the crop cycle while doubling as a natural fertilizer
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3. SatSure (India)
Decision intelligence platform using satellite remote-sensing technology for irrigation monitoring, flood risk mapping and basin-level water management
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Location
Ho Chi Minh City, Vietnam

Customer
Saigon Water Corporation (SAWACO)

Pilot Funding Initiative
Enterprise Singapore Deployment Awards

Problem:

• Toxic chemicals entering Dong Nai river from agricultural areas disrupt downstream water treatment processes 
• Manual sampling and lab testing methods are costly, inaccurate and lead to delays in response time

Startup Solution:

• Integrated Intelligent BioSensor (I2BioS) provides real-time, 24×7 water toxicity monitoring 
• AI-enabled dashboard and pre-warning system sends automatic, event-based alerts to operators

Project Description:

• Install two (2) I2BiOS units at Thu Duc Water Treatment Plant to monitor raw water intake from Dong Nai River
• Evaluate the suitability of I2BioS for the river water’s conditions and other SAWACO operations

Project Status/Outcomes: 

• Both systems installed as of October 2022 with multiple contamination incidents detected 
• Ongoing validation of results as of March 2023

Interesting in learning more about this project? Contact Annamarie Martin (annamarie@imagineh2o.org)

Location
Tarlac, the Philippines

Customer
Pura Waterworks and Anao Waterworks

Pilot Funding Initiative
World Bank WTAP

Problem:

• Small, public utilities in the Philippines struggle with asset management and leak detection 
• Existing NRW solutions rely on costly hardware installation and cater to larger utilities

Startup Solution:

• AI-powered analytics platform that models a utility’s network to reduce water loss and improve revenue 
• Applicable to utilities of different sizes and data availability, using already-collected data

Pilot Description: 

• Digitize existing paper-based records and deploy MeterCity and NetCity software to reduce NRW
• Provide training workshops for utility staff to conduct field verification of results

Pilot Status/Outcomes:

• MeterCity fully deployed for both utilities as of December 2022, training workshop scheduled for March 2023 
• NetCity partial deployment underway in Pura

Interesting in learning more about this project? Contact Annamarie Martin (annamarie@imagineh2o.org)

Location
Punjab Province, Pakistan

Customer
Pakistan Council of Research for Water Resources (PCRWR)

Pilot Funding Initiative
World Bank WTAP

Problem:

• Up to 60 million people in eastern Pakistan are affected by arsenic groundwater contamination 
• Current colorimetric testing is time-consuming, prone to user error and lacks web-connectivity

Startup Solution:

• Enzyme-based, test-strip biosensor that can test for arsenic in under 3 min without use of chemicals
• Digital platform enables real-time mapping and analysis via a cloud-based dashboard

Project Description:

• Test 250+ wells for arsenic levels across 13 sub-divisions in Punjab Province 
• Results to be validated against PCRWR’s laboratory tests using Atomic Absorption Spectrometry

Project Status/Outcomes: 

• 75% of wells tested as of March 2023, results to be finalized in April 2023
• Additional pilot now underway in Bangladesh

Interesting in learning more about this project? Contact Annamarie Martin (annamarie@imagineh2o.org)

In India, approximately 85% of wastewater goes untreated – contaminating lakes, rivers and coastlines. Existing wastewater treatment systems, however, are under-utilised when raw sewage get discharged into water bodies instead of treatment plants. In addition, cities lack updated information on their piping infrastructure that can inform where wastewater discharge gets directed to.

Fluid Robotics has developed FluidHealth, which comprises of multi-sensor, in-pipe robots that collect data for real-time pollution monitoring and automated wastewater sampling to help divert and treat wastewater, thereby reducing urban pollution. To date, 10+ cities in India have increased their treatment of wastewater by over 700 MLD and led to roughly $400,000 in savings for municipalities for every 1MLD intercepted, diverted and treated.

In addition, Fluid Robotics has also developed FluidAI, which is an AI-based software solution that automates wastewater pipeline inspections to improve the productivity of utilities, contractors and EPCs. It identifies, labels and tracks the severity of wastewater pipeline defects much faster than human operators, thereby reducing the defect labelling time.