Starting this month Emanuel joins the RMBLStrip team and will take lead on the software development of RMBLStrip Roof Deflector product. Emanuel’s previous experience of machine learning and signal analysis is perfectly suited for RMBLStrip. Emanuel has also domain knowledge within the automotive industry from previous employments at Scania and Nira Dynamics.
RMBLStrip develops a completely new generation of roof deflectors for the heavy truck industry. Our patented technology saves up to 3% in fuel costs for the hauler. The solution uses big data analysis to understand how the air flow passes by the truck and uses that information to control the roof deflector without any need of manual adjustment for every new trailer connected to the truck. This saves time and money for the driver and the hauler and it will spare the environment millions of tonnes of CO2 emissions every year.