MOUNTAIN VIEW, CA--(Marketwired - Aug 30, 2016) - Today, introduced its technology and strategy for the first time, opening a new chapter in the era of self-driving transportation. Founded in 2015 with a team of deep learning experts out of Stanford's Artificial Intelligence lab, is using unrivaled AI expertise to build the software necessary to power autonomous vehicles of the future. The company also announced the addition of Steve Girsky, noted for his leadership at General Motors over the past seven years, to its board of directors.'s strategy, revealed today, completely re-imagines existing approaches to self-driving using a full stack deep learning approach. Their integrated software and hardware system will enable vehicles to safely navigate any driving environment -- including urban, suburban, and freeway -- while communicating clearly with users, other drivers, and people outside the vehicle.

"Deep learning is the most effective form of artificial intelligence, and the best one capable of responding intelligently to the infinite situations cars face on the roads," said Sameep Tandon, CEO and co-founder of "Our founding team has been working on deep learning's applications to self-driving vehicles since its early stages. This is truly the enabling technology for the future of autonomous transportation, and we're leveraging it for navigation and interaction both inside and outside vehicles."

Building on this technical foundation, aims to create a robust new language of human-robot interactions -- essential for making people trust and welcome self-driving vehicles.

"Self-driving is not just a new feature on vehicles," said Carol Reiley, co-founder and president of "It's a once in a generation opportunity to reimagine the relationship between people, cars, and the world around them. At, we're focused on building a totally new language for vehicles, enabling them to show intent and interact in complex ways with humans inside and outside the car. Vehicles of the future will communicate transparently with us, they'll have personality, and they'll make us feel welcome and safe, even without a human driver."'s product offering will consist of a retrofitted self-driving kit for existing business fleets. In addition to the self-driving system, this will include sensors, a roof-mounted exterior communication system, and an in-car interface, all powered by deep learning software algorithms. The company's initial market approach will focus on proving the technology with route-based vehicle fleets, in industries such as freight delivery, ridesharing, and public/private transit. The company has existing partnerships with major OEMs and automotive suppliers, and plans to expand into other channels and partnerships in the future.

In announcing Steve Girsky as a member of its board of directors, adds deep expertise within corporate management and the automotive industry. Mr. Girsky is an unparalleled leader who helped to lead General Motors through its emergence from bankruptcy in 2009 and subsequent growth over the past seven years.

"We all know that the automotive industry is in the midst of a foundational shift," said Mr. Girsky. "The emergence of self-driving technology, and deep learning in particular, brings an incredible opportunity to save countless lives, transform the transportation landscape, and shift the way we think about cars and technology. The team at has the vision and expertise to lead this new era."

About is a self-driving technology company reimagining the fundamental relationship between people and transportation. Founded in 2015 with a team out of Stanford University's Artificial Intelligence Lab, uses sophisticated deep learning algorithms for the full stack -- including computer vision, path planning, user interface, and communication outside the vehicle -- to power the next era of transportation. is licensed to test autonomous vehicles in the state of California.