Our vision is to prevent pipe bursts and thus ensure a reliable and sustainable water supply worldwide.
Our mission is to enhance efficiency in pipe networks, minimize leakage and reduce costs for repairments.
Our digital Solution
Sooqua uses suppliers pipes and already existing sensors which send their data via LoRaWan/SigFox or directly by cable to the suppliers facilities. Using GIS-data we create a digital twin of the pipes network so that our algorithms understand the connections and positioning of sensors within the network.To analyze the data we use a self developed combination of different Machine-Learning Algorithms.
After analyzing the sensor data, we can localize leakages in an early stage and monitor them over time. We also show the networks status in realtime sothat you know the pipes condition at any time. Additionally we predict when and where a pipe is going to burst.
Areas of application
No additional sensors:
Combining existing sensor data from different manufacturers and different types of sensors
20-40% higher precision through our additional algorithms, machine learning and voting mechanism
Real time decisions:
Real time monitoring of your networks status & Predictive Maintenance with alarms for pipe bursts
No hydraulic model:
High scalability combining a digital twin with Machine-Learning Algorithms instead of a time intensive hydraulic model
Less money spent on sensor installation &
repair measures as well as less water losses
Repair measures become predictable, which allows an optimization of limited resource
Our solution ensures a reliable supply & Sustainable use of the limited resource water
Customers can position themselves as digital leaders
|Christopher Dörner||Valerie Fehst||Tri-Duc Nghiem|
or Contact us
Sooqua is a SaaS-Solution for Water Utilities and private Companies that analyzes Sensor Data with Machine-Learning Algorithms and thus shows the Networks Realtime Status and helps to minimize Leakage and prevent Pipe Bursts.
Let‘s make water supply reliable and sustainable together.
Phone: +49 159 0135 7614