Spark helps electric vehicle (EV) drivers complete more journeys between charges, making it easier for consumers and businesses alike to transition to EVs.
Spark works by collecting live driver, vehicle and other data sources, such as the weather and congestion, and then using its cloud-based AI machine learning algorithms to provide more accurate journey predictions for electric vehicles. This removes remove range anxiety and accelerates EV adoption by drivers and fleets.
Developed in Cambridge, Spark combines the company’s own research with work from the University of Essex. Available now, it is already receiving strong interest across Scandinavia. A regional finalist in the Shell Springboard competition and an alumni member of Accelerate Cambridge, Spark EV Technology has received investment from New Anglia Capital and the Low Carbon Innovation Fund.
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