Simple to use, clever solution
Spark EV Technology
Maximising utilisation for electric vehicles
Telephone: +44 (0)1223 781 200
Address :
Unit 6, The Old Railway Station Green Road Newmarket
Post Code: CB8 9WT
Country: United Kingdom
Website: https://www.sparkevtechnology.com/
Membership Type: Professional Individual and Corporate <5
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.
Contact us today: info@spark-technology.com
Cambridge-based Spark EV Technology has been selected to join Tech Nation’s Net Zero programme, designed to support 30 of the UK’s most promising scaleups that are contributing to the UK reaching its goal of net zero greenhouse gas emissions by 2050.
09-09-2020
Spark is committed to using its intelligent electric vehicle software to help accelerate the take-up of EVs and transform the environment around us as we move to a low-carbon future.
28-04-2020
Extensive real-world range prediction trials saw Hyundai Kona EV models equipped with Spark’s technology for a month.
12-09-2019
Real-world trials of AI-based range prediction system deliver dramatically higher accuracy than manufacturer systems
20-06-2019
Pioneering company, Spark EV Technology aims to tackle a major hurdle hindering the adoption of electric vehicles by partnering with the University of Essex on a new Knowledge Transfer Partnership (KTP).
16-05-2019
Experienced business leader joins electric vehicle leader Spark to support company internationalisation and new funding round.
09-04-2019
AI pioneer Spark EV Technology joins a prestigious programme designed to create UK leaders in the £900bn global transport systems market.
17-01-2019
Showing the global need for its intelligent electric vehicle (EV) range prediction software, UK-based Spark EV Technology has won a place on the Cities Stream of the Creative Destruction Lab (CDL) programme, based in Toronto, Canada.
13-11-2018
Cambridge-based Spark EV Technology has been announced as one of just four startups from around the world selected for BP and RocketSpace’s Mobility Tech Innovation Collaborative programme, which brings together the world’s most promising startups and global industry leaders to work together on paid, real-world proof-of-concept (PoC) projects.
10-10-2018
Following the launch of the Road to Zero emissions strategy, Spark's AI-based journey prediction system, which helps increase electric vehicle uptake, has been featured on the Government's Industrial Strategy blog
20-07-2018
Demonstrating the growth of electric vehicles (EVs) within business fleets, Spark EV today announced that Essex-based health and care organisation Provide has adopted its artificial intelligence-based journey prediction solution.
05-03-2018
Pioneering tech company Spark EV is driving business development of its artificial intelligence-based journey prediction system for electric vehicles (EV) with a £50,000 investment from New Anglia Capital as part of its seed investment round.
08-02-2018
Aimed at fleet operators moving to electric vehicles (EVs), Spark EV today launched its new artificial intelligence-based journey prediction telematics solution. Spark EV enables vehicles to complete more journeys between charges, removes range anxiety and enables greater fleet utilisation, with up to 20% more journeys completed between charges.
21-11-2017
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