Join us on our journey toward safer streets
Check out the Copilot Community at @velo.ai on Instagram.
We’re reinventing how we think about intelligent, connected mobility, with a strong focus on developing diverse transportation networks that are safer, smarter, and more efficient. We want to own some of the hardest mobility challenges by developing a universal platform for intelligent multi-modal transportation systems.
Meet the team
Clark is a robotics expert with over two decades of experience developing cutting-edge autonomous vehicles and robotic systems. He has developed wall climbing robots with DARPA, traveled to Fukushima to study robotic applications for disaster scenarios, and tested robots running around the desert with the intelligence community. Clark led the Prediction team at Uber’s autonomous vehicle division, as well as led the Carnegie Mellon team that completed the DARPA Robotics Challenge. He holds a Ph.D. and M.S. in Robotics from Carnegie Mellon, and a B.S.E. from the University of Michigan.
Micol has spent the majority of her career developing machine learning approaches for understanding complex interactions among traffic actors. At Velo, she is excited to continue thinking about these problems while placing bicyclists and other vulnerable road users front and center. Micol was previously with Uber ATG and most recently at Aurora Innovation, where she led teams in Prediction and Motion Planning working on core models for intent prediction and discrete decision-making. She holds a Ph.D. in Machine Learning from Carnegie Mellon University and an M.S. and B.S. in Computer Science from Stanford University.
Alison has spent her career building global communities and is leading commercial partnership and community-building efforts for Velo AI. Previously, Alison led community impact initiatives at Argo AI and prior to that worked for the Allegheny Conference on Community Development leading strategic talent initiatives and supporting regional economic development. She holds an M.A from Georgetown University and a B.A. from Pennsylvania State University.
How we got to where we are today
Clark starts brainstorming novel approaches to improve safety for vulnerable road users, a growing problem.
At the height of the pandemic, influenced by a LOT of bike rides, Clark starts to work on Copilot as a “pandemic passion project.”
Using a smartphone strapped to a bike, we prototype our first AI and ML algorithms designed for bike safety.
We demonstrate we can pack all of the AI and ML smarts into hardware small enough for a bike light and full-time efforts on developing Copilot begin.
Velo partners with Pittsburgh-based manufacturer, Hellbender, for product engineering and VELO.AI, INC. is officially registered.
Clark takes the very first full Copilot prototype out for a test ride.
To relight or rekindle (a light, flame, etc.)
Our first group of 20 beta testers hit the streets in Pittsburgh, PA. Data collection begins along with rapid iteration on product designs
Micol joins Velo as cofounder and CTO, significantly boosting our team’s AI and ML prowess.
Copilot is released to the public. Coming soon!