Investment in Robotics
RightHand Robotics, a leader in providing integrated robotic piece-picking solutions, announced that it has secured $23 million in a Series B funding round led by Menlo Ventures, an active investor in the robotics sector.
GV (formerly Google Ventures) also joined this round along with existing investors, including Dream Incubator, Matrix Partners, and Playground Global.
RightHand Robotics intends to use the funds to expand business and technical teams and broaden its suite of product applications in support of the company’s growing customer base.
“This funding is a testament to our team’s intense focus on solving the critical challenge all our customers face - namely, how to respond to booming e-commerce growth given a scarcity of labor,” said Leif Jentoft, co-founder of RightHand Robotics.
“We are aggressively investing in talent acquisition, international growth, and advancing our RightPick product line to meet these needs.”
RightHand’s RightPick platform addresses challenges that arise due to the rapid shift to online shopping and the need for retailers to compete by delivering individual goods directly to consumers when and where they want.
Fulfilling these e-commerce orders is much more labor-intensive than traditional retail store restocking, based on the number of “touches” each item requires.
“We are thrilled to be leading this funding round,” said Mark Siegel, Partner at Menlo Partners, who will be joining RightHand’s Board of Directors.
“We have been continually impressed by RightHand’s customer traction and industry track record, with deployments in North America, Japan, and Europe. What inspired us to invest were the testimonials we heard from customers who have used RightHand’s technology and rank it highly with respect to range, rate, and reliability. It was clear that their systems can provide users with a long-term competitive advantage.”
“RightHand Robotics developed a comprehensive, integrated solution that resonates with a wide variety of e-commerce companies,” said Andy Wheeler, General Partner at GV.
“The founding team of roboticists at RightHand have the right expertise, full-stack product, and overall vision to make an impact on this growing market.”
The company also announced that Mick Mountz, founder and former CEO of Kiva Systems (now Amazon Robotics), recognized for launching the most widely deployed robotics solution in the world, will join the Board of Directors.
After spending 13 years in high-tech product development, manufacturing, and marketing at Motorola, Apple, and Webvan, Mountz founded Kiva in January 2003, specifically to solve the pick-pack-and-ship material handling challenges presented by supply chain, warehouse, and logistics e-commerce.
“RightHand is picking up where we left off,” said Mountz.
“Customers saw products coming directly to operators for picking and packing and would ask: ‘Why don’t you also automate this step with a robotic arm and gripper?’ But that was a difficult problem that we knew would require years of research and technological breakthroughs.”
Mountz added, “RightHand has, in fact, developed that solution – mastering the critical performance requirements of real-world distribution center environments.
This funding round enables a very exciting phase of rapid roll-out and scale-up for the company.”
Download the Paper: Understanding the 3Rs, Range, Rate, and Reliability, of Robotic Piece-Picking
About RightHand Robotics
RightHand Robotics is a leader in providing robotic piece-picking solutions that improve performance and efficiency in e-commerce order fulfillment and intralogistics. Its RightPick product platform is a software-driven, hardware-enabled solution that handles the core task of picking and placing individual items as part of a wide range of workflows and processes. With RightPick, businesses can reduce the cost of order fulfillment in electronics, apparel, grocery, pharmaceuticals, and many other industries. RHR was founded in 2014 by a DARPA challenge-winning team from the Harvard Biorobotics Lab, the Yale GRAB Lab, and MIT, intent on bringing grasping intelligence powered by computer vision and applied machine learning to bear on real-world problems.
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