We provide the easiest, non-invasive monitoring solution for ships, making fuel efficiency and emission reduction easy, fast and affordable.
We provide a real-time performance monitoring solution, using up to 480 datapoints per day and real-time feedback on performance, with a >95% global position coverage. We benchmark all noon-reported data using our unique Digital Twin based solution.
For every voyage, we calculate the weather impact, allowing you to benchmark the performance of your vessels in detail. No more bad weather days, we report performance every day.
We provide an accessible, browser based tool to assure easy and uniform vessel reporting.
We provide emission reporting for charterers and ship owners, and are certified for both EU-MRV as IMO-DCS.
We help charterers by monitoring and optimising the fuel efficiency of their chartered vessels.
“Our pilot with the Digital Twin proved to be essential for the analysis in which we monitored the impact of hull fouling on fuel consumption, as it could normalise the data for weather, speed and draught. Using only noon-reported data, this analysis could not have been done."Download Customer Case
“Unifeeder has signed a cooperation agreement to roll-out the We4Sea Digital Twin based performance monitoring solution across Unifeeder’s fleet. The aim is to reduce the fuel consumption and emissions of the ships."Go to Unifeeder.com
"We4Sea assisted Jumbo to maintain service speed with a minimal fuel consumption per mile. The result: a 5.4% fuel efficiency gain and a 9.4% time gain. The Digital Twin proved to be essential for this analysis, as it could normalize the data for weather, speed, and draught. Using only noon-reported data, this analysis could not have been done."Download Customer Case
"Hardware-based solutions come at a high cost. To put a sensor on board, a factor 10 often can be applied to the purchase cost of the sensor itself, due to installation, maintenance, and calibration. Model-based monitoring can be done at a fraction of the cost."Download Customer Case