Korea-based BANF, which stands for Begin A New Feature, uses sensors to collect data on tire pressure, temperature, tread wear, wheel alignment, and even lug nut stability. That data is analyzed using machine learning to provide drivers and fleet managers with insights about not only tire health, but also cargo load measurement and road surface conditions. Lee says BANF’s insights are up to 90% accurate, and are useful to everyone from fleet management companies to OEMs to departments of transportation.