When you’re backed by over $250 million from investors like Jeff Bezos, Elon Musk, Mark Zuckerberg, and Samsung, you know you’re doing something right, at least that’s the case for Vicarious, a Union City, California-based startup founded in 2010 by Scott Phoenix and Dileep George.
Vicarious’ ‘Robots-As-A-Service’ model technology, which is a turnkey robotics solutions integrator using AI to automate tasks too complex and versatile for traditional automation, has been published in peer-reviewed journals like Science and Science Robotics and featured by the New York Times, Wall Street Journal, MIT, and Wired.
That just shows you how well thought after and respected the company is within the industry.
With robots that can complete tasks too complex for more traditional hard-coded automation, Vicarious’ automated robotics solution lowers labour hours and costs.
The solutions include:
High-mix, high-changeover kitting for boxes, pouches, trays, and other containers
High-speed palletization and de-palletization for both standard and mixed pallets
Tight-fit insertion for master case repacking (variety packs), late customization for retail displays, bundling, and other use cases
• Wall picking
A pick-to-light solution capable of handling virtually any items for e-commerce or direct-to-consumer fulfilment
Proving that what Vicarious provides is of excellent quality, the company is working constantly and tirelessly on custom partnerships such as truck unloading, heterogeneous parcel handling, manufacturing and warehousing QA/QC, assembly, machine tending, and more to give its client base the competitive advantage when it comes to workflow success that leverages state-of-the-art robotics.
“We’re paying people trillions of dollars a year to do stuff that robots have been physically capable of doing for the last 30 or 40 years.”
— Scott Phoenix, Vicarious Co-Founder
Vicarious’ R&D, based on robotics, machine learning and the most intelligent system the company knows of, humans, has come up with a solution that utilizes unsupervised learning techniques which, in turn, is data-efficient, not requiring — as is the case with most deep learning (DL) research — large amounts of data. It is this IP that is assisting enterprises like Pitney Bowes, a technology company most known for its postage meters and other mailing equipment and services, deliver mission-critical products to its customers.
All this exciting technology owes its being to the hard work and intelligence of the founding team.
Prior to co-founding Vicarious, CEO Scott Phoenix was Entrepreneur-in-Residence at Founders Fund, a $6-billion venture capital fund focused on hard technology startups. He was formerly CEO of Frogmetrics (Y Combinator 2008) and served as an advisor to Base10 Partners, Felicis Ventures, and 8VC.
Phoenix earned his BAS in Computer Science and Entrepreneurship from the University of Pennsylvania.
Vicarious’ other Co-Founder is Dileep George. Before co-founding Vicarious, Dileep was CTO of Numenta, an AI company he cofounded with Jeff Hawkins and Donna Dubinsky. Before Numenta, Dileep was a Research Fellow at the Redwood Neuroscience Institute.
George has authored 22 patents and several influential papers on the mathematics of brain circuits. George’s research on hierarchical models of the brain earned him a Ph.D. in Electrical Engineering from Stanford University.
As mentioned earlier, Vicarious is a well-funded company, and its ‘Robots-As-A-Service’ model, may be the future of a growing industry.
Phoenix, speaking with PYMNTS.com, a website for data, news and insights on innovation in payments and the platforms powering the connected economy, said in the summer of 2020:
“I think every company fundamentally comes down to what gift can you give to your fellow humans. I think the purpose of the corporation is a means for us to provide something that each other wants and to make society better in that way. And so, Vicarious is just one in a sea of these groups trying to help society run more smoothly and to make it easier for humanity to reach a greater height. And so, our role to play in that is in making labour and robotic automation as easy to use as personal computers are. And I think that having a future where we can do that is a really exciting future because right now everything happens very quickly in technology because it’s easy to move bits around (data) and it’s harder to move atoms (physical goods). If you can make it easy to move atoms too, then you can have societal change and infrastructural change and physical objects change, almost as quickly as we see digital things change. And I think that’s a really exciting feature for humanity to have.”
And the Deep Tech Insider thinks it’s an exciting feature for humanity to have too, Mr Phoenix.