logo
menu

Badger Meter enhances smart water capabilities with acquisition

news item image
Badger Meter has announced the acquisition of Syrinix - a privately held provider of intelligent water monitoring solutions for £15 million ($17.8).
Founded in 2010 and headquartered in the UK, Syrinix specialises in high-frequency pressure monitoring and leak detection within water distribution and collection networks. Its remote network monitoring equipment and cloud-based software platform deliver data, customised alerts and insights that empower customers with real-time asset monitoring to reduce water loss and improve asset life.
Kenneth Bockhorst, chairman, president and chief executive officer of Badger Meter, said: “We are pleased to add the hardware-enabled software capabilities of Syrinix into our smart water solutions portfolio.
“Leveraging our industry-leading ORION® Cellular endpoints and BEACON® software, we continue to expand our comprehensive digital solutions to operationalize real-time data into actionable insights that improve efficiency, resiliency and sustainability. I look forward to working alongside the talented Syrinix team to further our aim to preserve the world’s most precious resource.”
With more than a century of water technology innovation, Badger Meter is a global provider of industry leading water solutions encompassing flow measurement, quality and other system parameters.
These offerings provide our customers with the data and analytics essential to optimise their operations and contribute to the sustainable use and protection of the world’s most precious resource.
Syrinix is an award-winning global market leader in providing high-resolution data-led insights for utility networks. Its PIPEMINDER-ONE series of water and wastewater monitoring solutions, RADAR cloud-based network analysis platform, and Syrinix Intelligence analysis and consultancy services help cost-conscious utilities move network management from reactive to proactive, improving performance and saving time and money.






149 queries in 1.228 seconds.