Global collaboration fortified: KETOS teams up with Siemens for robust water management across the globe.
In a groundbreaking move, KETOS and Siemens have joined forces to provide comprehensive water quality management solutions aimed at improving water management practices for industrial and municipal water operators. This collaboration leverages KETOS's technology for real-time water quality monitoring with Siemens' capabilities in smart water infrastructure and IoT solutions.
The partnership focuses on the industrial and municipal water sectors, addressing challenges in these areas, particularly in the context of growing water scarcity and regulatory pressures. Siemens' water reuse initiatives are supported by this partnership, with a focus on optimizing water availability while ensuring safety and sustainability.
At the heart of this collaboration is technology integration. KETOS supplies advanced smart sensors capable of monitoring multiple water quality parameters such as chlorine, fluoride, hardness, metals, pH, turbidity, temperature, and chemical content in near real-time. These sensors produce high-frequency, reagent-free data that help detect water quality excursions faster than traditional lab sampling.
Siemens integrates these sensors into a cloud-based IIoT ecosystem, enabling remote monitoring, data visualization, and actionable dashboards accessible on various devices. This offers operators improved visibility over distributed water assets, reduces manual site visits, and supports automated control and predictive analytics for water treatment processes.
The partnership targets key outcomes like enhanced regulatory compliance through continuous monitoring, lowered operating expenses by reducing manual sampling and optimizing chemical/energy use, and improved uptime by quickly detecting deviations in water quality. This is critical for industrial sites such as chemical plants and municipalities managing reservoirs and treatment stations.
Meena Sankaran, the CEO of KETOS, stated that the focus with Siemens will be on real-time actionable water quality insights. Sebastian Guckelberger, the global head of portfolio and business development of water and wastewater at Siemens, stated that the partnership with KETOS will empower water operators with integrated strategies for better water management and increased sustainability.
Siemens Water (SIWA) applications, specifically developed for the water and wastewater industry, can help operators optimize energy efficiency, avoid water loss, and reduce contamination of water bodies. Additionally, these applications can improve predictive maintenance measures, further enhancing efficiency and sustainability in water management.
KETOS has developed a vertically integrated solution combining intelligent robotic hardware, IoT connectivity, AI-based interactive software, and services for installation and ongoing uptime. This partnership between KETOS and Siemens will provide enhanced visibility, proactive risk mitigation, and optimized savings across operations with cohesive predictions from blended data across sources.
As high-caliber water metrics become increasingly essential for customers focused on ESG reporting and reducing their carbon footprint, this partnership is poised to make a significant impact. By providing comprehensive water quality management solutions, KETOS and Siemens aim to revolutionize the water industry, making water accessible, affordable, safer, and more sustainable.
The collaboration between KETOS and Siemens focuses on integrating technology to optimize water management in industrial and municipal sectors, particularly amid growing water scarcity and regulatory pressures. Siemens' water reuse initiatives are supported by this partnership, with a focus on enhancing safety and sustainability in the finance sector.
The partnership targets key outcomes like lower operating expenses, improved regulatory compliance, and increased uptime by integrating KETOS's advanced smart sensors with Siemens' cloud-based IIoT ecosystem, allowing for remote monitoring, data visualization, and predictive analytics in the technology domain.
