Axle helps people go farther together. Our Passenger Optimization technology allows users to make any point of interest more accessible by facilitating better ride-sharing.
Users can create "Events" with a specific point of interest and date, then distribute the link to the other users ("Passengers") who may also be traveling to the event. Axle collects travel preference data from all the Passengers, then helps them coordinate ride-sharing groups and secure transportation; whether that's splitting costs to share a personal vehicle, a rental car, an Uber, or a bus.
Our unique advantage is our zoomed-out perspective: instead of evaluating demand for transportation at an individual level, we view the problem through the lens of independent Events. This allows us for Passenger Optimization that fosters a deeper sense of community through shared-social experiences, while minimizing the cost of transportation for the group as a whole. Importantly, Events can be anything that involves many people traveling to or from a particular location for a common purpose: e.g. work, flights, weddings, sports games, etc.
Long-distance commutes are a type of Recurring Event that represents one of the most lucrative use cases for our technology, but to seize that opportunity now, we would need to scale our engineering resources to handle the additional complexity. The City of Tomorrow challenge is an exciting opportunity to do exactly that.