The world’s first Advanced Driver Assistance System (ADAS) optimized for energy efficiency
Today, Hypermile AI, a computer software company developing an energy-efficient ADAS for commercial vehicles (e.g. trucks), is coming out of stealth. The UK-based startup is solving issues arising from inefficient driving which leads to higher CO₂ emissions and higher costs for already strained transportation companies. Additionally, Hypermile is accelerating the transition to electric vehicles (EVs) through addressing ‘range anxiety’ cost-efficiently and effectively.
Hypermile’s ADAS, named Co-pilot, has three main applications:
Intelligent driver feedback: we go far beyond traditional telematics to provide an intelligent understanding of what great driving looks like. This is fantastic training especially for junior drivers. For a typical fleet, there is up to 30% difference between the most and least fuel-efficient drivers.
Fuel Saving for ICE vehicles: Hypermile already has a working prototype that is ~10.8% more efficient than average drivers based on internal testing done in the UK and it’s continuously improving.
Range Extension for EVs: Hypermile recently won two Innovate UK projects to extend the range of EVs by 10-30%, providing a cheaper and lower CO₂ footprint alternative to adding batteries.
Hypermile is excited to bring in a more practical approach towards autonomy for European logistics and is the only European technology company (excl. OEMs) focused on autonomous applications in Heavy Goods Vehicles (HGVs). This is especially timely as the UK government has recently chosen to take drastic measures such as increasing driver hours to avoid having to “cancel Christmas” due to the driver shortage (Guardian, 2021). This system could eventually make driving less straining and therefore make HGVs safer and viable on longer routes.
Hypermile’s Co-pilot is currently being developed on a range of commercial vehicles including IVECO and Electra Commercial Vehicle’s new EV truck. Additionally, our prototype has been tested on MAN TGE and VW Crafter vehicles. Hypermile is utilising fleet based learning where Co-pilot continually learns from many of our logistics partners, where CoPilot has been deployed in a range of HGVs models and makes.
About Hypermile AI: Founded in 2020, Hypermile AI has already attracted attention from top investors including Y Combinator (first investors in Stripe, Airbnb, Cruise Automotive and Embark Trucks) and Accel (via scout fund). The company is founded by two seasoned entrepreneurs: Dr. James Hennessey and Jakub Langr. Jakub Langr has BA/MA from Oxford, has grown Mudano’s (acquired by Accenture) ML team from himself to 20 people and has written a best-selling textbook on Machine Learning. Dr. James Hennessey was previously the head of Computer Vision at Pupil and has worked at Adobe and Disney Research. The team has previously worked at Graphcore, Lyft Level 5, AVL, Continental, Blippar, Blue Vision Labs and in Computer Vision at Amazon and Microsoft.
Jakub Langr (Co-Founder) said: “Co-pIlot is a unique system that leverages the latest advances in deep learning as well as practical engineering to help us reach net zero. We are excited to be show-casing our low powered AI to additional global German automotive companies.”
Hypermile is exhibiting as part of the UK Pavilion, any individuals or companies (Logistic Operators, OEMs & Tiered-suppliers) interested in transitioning to net zero, improving their driver training, extending the range of their EVs, or ADAS in general, should visit us at Hall A2, Stand A09.