From a garage to Global presence
We’re partnering with municipalities and research institutions across Sweden to make our solution more accessible and impactful.
Our next step: showcasing our innovation at tech fairs across Europe as we move toward becoming an international force in sustainable water management.
How we measure
Our unmanned surface vehicle (USV) drives on the water surface of inland water bodies. It is equipped with several sensors that continuously measure water quality parameters. A water sampler unit on the USV can automatically collect up to 4 separated samples per mission. The extension of the USV is a gondola that can be lowered to any depth of the water body. The gondola is equipped with light, sensors and a camera. It forwards data via a tether to the USV. With the help of machine learning the water quality data can be read from the images. All data is automatically saved in a cloud and can be downloaded for water quality analysis.
What we measure
Why we measure
Swedish municipalities are legally required to test the quality of their water bodies at least once a year. Traditional methods are often costly and time-consuming. Instead of transporting water to a lab, we bring the lab to the water—saving time, reducing costs, and improving data quality on-site.
Performance calculation with Python ( REMOVE THE WHOLE SECTION, keep sensors and lake pics)
In this section, we dive into the performance data of different water bodies using Python for advanced calculations. By analyzing key metrics such as speed, distance, and mission duration, we can gain insights into how each environment affects overall performance. Let's explore the results below.
Total driven distance (m): 4242.53 (River Nissan)
Maximum speed (m/s): 1.80 (River Nissan)
Average speed (m/s): 0.79 (River Nissan)
Mission duration (hh): 1.46 (River Nissan)

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