EMERYVILLE — Ambi Robotics, the pioneer in simulation-to-reality AI for highly-dexterous robotics, has closed a $26 million Series A funding round. The investment is led by new investor, Tiger Global Management, and builds on participation from existing investors Bow Capital, Vertex Ventures US and The House Fund.
The new funding comes at a time of significant customer growth and expansions just five months after the company emerged from stealth. The funding round enables Ambi Robotics to scale the team and operations to support rapid deployments of AI-powered robotic systems throughout US supply chain operations. Additionally, Ambi Robotics will expand its product and customer support offerings as there are now hundreds of warehouse associates across the US working alongside the company’s automated sorting systems.
“Ambi Robotics combines cutting-edge AI technology with engaging user interfaces to transform the role of ‘item handlers’ to ‘robot handlers,’” said Jim Liefer, CEO at Ambi Robotics. “With our Series A funding, we will be able to empower more companies to help their associates work harmoniously alongside robots.”
“Ambi Robotics has quickly leapt to the front of the pack when it comes to AI robotic piece-picking for parcel sortation and ecommerce fulfillment operations,” said Griffin Schroeder, Partner, Tiger Global. “The company is a market leader as a result of its strong team and technology, validated by a robust pipeline of customer growth as the company capitalizes on the vast supply chain and rapidly growing logistics market.”
Ambi Robotics has developed two commercial solutions, AmbiSort and AmbiKit, and is currently expanding its fleet of AI-powered robots across the US with global brands like Pitney Bowes. Powering its highly-dexterous robotics with industry leading simulation-to-reality AI, the company has developed an advanced AI operation system, AmbiOS, that trains algorithms 10,000 times faster than competing solutions. This allows customers to rapidly scale AI-powered robotic systems and successfully sort a vast range of unique items from day one of operation.
