We harness the power of millions of data points from vehicles all around the United States in order to help determine an EV's range, its predicted range over time, and its range in varying climate conditions.
Recurrent uses machine learning models that incorporate data from your individual vehicle with geographical and climate data, as well as data from other vehicles in our fleet.
For drivers connected to our monthly reports, data received from your vehicle approximately 3 times per day helps inform our data models.
For shoppers seeking information on vehicles that haven’t been connected to Recurrent, we look at information about that vehicle and compare it to our fleet of thousands of connected vehicles, along with the other factors described above.
If you have any questions about our methodology, feel free to reach out to email@example.com -- we'd love to chat!