KETOS offers a fully integrated water quality monitoring platform that utilizes IoT sensors to provide real-time data on over 30 water quality parameters, including heavy metals and nutrients. This technology replaces manual sampling, enabling water operators in industrial, agricultural, and municipal sectors to save time and ensure compliance with safety standards through automated reporting and predictive analytics.
Funding
$48.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
A+1Founders
Product
Problem
Traditional water quality monitoring relies on manual sampling and lab analysis, which is time-consuming, expensive, and provides infrequent data points. This approach makes it difficult for water operators to react quickly to contamination events, optimize treatment processes, and ensure regulatory compliance.
Solution
KETOS offers a fully integrated water quality monitoring platform that automates the collection, analysis, and reporting of critical water parameters. The KETOS SHIELD, an IoT sensor system, measures over 30 parameters in real-time, including heavy metals and nutrients. Data is transmitted to a secure cloud platform where it is processed and analyzed, providing water operators with actionable insights through automated reports and predictive analytics. This enables proactive management of water resources, reduces operational costs, and ensures adherence to safety and environmental standards.
Target Audience
The primary target audience includes water operators in industrial, agricultural, and municipal sectors responsible for monitoring and managing water quality and efficiency.
Features
- Real-time monitoring of over 30 water quality parameters, including heavy metals, nutrients, and environmental factors
- Patented IoT sensor system (KETOS SHIELD) providing lab-accurate data
- Cloud-based platform for data aggregation, analysis, and reporting
- Automated alerts and notifications based on user-defined thresholds
- Predictive analytics leveraging machine learning algorithms to forecast potential issues
- Integration with existing SCADA systems and other third-party solutions
- Multiple connectivity options including LoRa, WiFi, cellular, and customer networks
- EPA-compliant solution