The first bike sharing service to cause zero street and sidewalk clutter
All e-bikes are parked in garages throughout the city, only leaving when a
ride is requested and immediately driving back when their ride is finished
- never idle in public spaces
like dockless scooters.
Smaller fleet with higher utilization
Our fleets are 8 times smaller
than dockless options, so we
aren’t flooding cities with our bikes.
Plus, we’re able to meet more demand with a smaller fleet because
our bikes can always be in range of where riders are.
How It Works
Request a robot e-bike in our app. Your robot will drive to you and usually
arrives within 15 minutes of your request.
Take over when your robot arrives and ride like a normal e-bike. You’re charged $1 to start plus .15¢ per minute
Leave your robot in a safe area when finished and end the ride in the app.
Your robot will immediately drive away
to pick up its next rider.
Meet Our Team
We're a group of roboticists, engineers, and designers with
a diverse set of academic and industry experiences from
Penn, Meta, USC, and other startups.
We're located in Newport Beach, CA just a few blocks from the beach.
Danny is an avid robotics hobbyist. He previously founded
a smart shirt wearable company for athletes. He has extensive experience
as a web developer and product designer.
Caio has a PhD in mechanical engineering from the University of Pennsylvania
where he developed breakthrough methods in designing and building low-cost robots.
Fariba is a research scientist with a focus on dynamical systems and network science.
She is a patent holder and has a PhD in electrical engineering from USC where she
focused on control systems.
Nabil is a PhD candidate in mechanical and aerospace engineering from UC Irvine
where he's focused on guidance, navigation, and control. He works on the self-balancing
and stabilization of our robots.
Justin is a software engineer where he works at the intersection of computer vision
and machine learning. His goal is to make autonomous systems more safe and robust. He
was previously at Meta.
Brian is a full stack engineer with experience in modern web development and embedded
systems. He was a key member of UC Irvine's machine learning group where he lead their web