Launched in 2017, Spark EV analyses live driver, vehicle and other data sources – such as the weather and congestion – using its advanced algorithms to increase the accuracy of journey predictions for electric vehicles.
The system uses a combination of easy to install sensor technology, cloud-based machine learning analysis software and a powerful smartphone app. Fleet managers and drivers enter their proposed journey and get advice on whether they will be able to complete it – based on live data, previous trips and charge point locations.
This delivers reassurance to fleet managers and drivers that they will be able to schedule and complete jobs without running out of charge, removing range anxiety while increasing the amount of potential vehicle journeys by an additional 2.8 per day.
Spark received a £50,000 investment from New Anglia Capital earlier this year as part of its seed investment round.
Research carried out by the University of Cambridge’s Judge Business School estimates that the global market for EV prediction solutions will rise to at least £501 million by 2022.