Our mission
We harness the power of AI to help wastewater utilities better manage their networks.
Urbanisation, climate change and population growth are putting huge strain on our water supply systems.
This is resulting in increased threats of flooding and pollution. StormHarvester’s AI solution is solving these problems, predicting and preventing issues before they even happen.
Our Team
We have a team of 50 people, with expertise across software, data analytics, water engineering, marketing and finance.
LEADERSHIP TEAM
Contact Brian
Brian Moloney
Chief Executive Officer
Brian is a civil engineer who has been working in drainage and flood prevention for more than 15 years. He has managed an engineering consultancy in the UK, Ireland, and Australia, where he’s developed a deep passion for civil engineering and StormHarvester’s products.
Brian still remains very ‘hands on’ with customers and projects, as well as driving the business’s strategy and growth.
Contact Neil
Neil Macdonald
Non-Executive Director
With 13 years of experience in both environmental engineering and technology, Neil brings valuable expertise to the team. Before joining StormHarvester in 2017, he founded a successful environmental engineering consultancy and a technology business.
Neil’s main responsibilities at StormHarvester include securing and expanding partnerships for the company while also contributing to business strategy and growth.
The story of StormHarvester
The ‘eureka moment’ for the StormHarvester concept was in 2012 when Brian, our CEO, was working as a civil engineer in Australia. He realised that if the rainwater tanks were emptied before a storm, there would be enough storage capacity to lessen the flooding in the area that happened every year.
After working with Queen’s University Belfast for over three years, he developed an automated water management software platform in 2016.
From then on, the business has seen massive growth and the product portfolio has evolved. StormHarvester now has partners in over 20 countries. StormHarvester’s unique machine learning algorithm is being used by wastewater utilities right across the UK to predict sewer blockages and detect anomalies in sewer flows and levels. This plays a major role in preventing sewer pollutions and flooding, which is key driver for wastewater utility companies today.