Arbe Robotics raises $10 million for next-generation autonomous vehicles
Arbe Robotics announced it has raised $10 million in additional capital. The says it is using the investment to expedite the development of its next-generation imaging radar for the autonomous vehicle industry, the expansion of its customer-facing U.S. operations, and enhanced focus on expanding its presence in the Chinese automotive market. This investment brings Arbe Robotics’ total funding to date to $23 million.
“Since our initial funding round, our 4D high-resolution radar has reached the resolution of optic sensors with the reliability and maturity of radar technology disrupting the automotive imaging sensor market,” said Kobi Marenko, Co-founder and CEO of Arbe Robotics. “We are excited by the opportunity this additional funding provides, as we advance our R&D to develop new microchip sets this year and seek to support the entire family of system-on-chip (SOC) radar. This latest investment, combined with our relentless focus on cutting edge technology to provide an unmatched mobility solution, will enable us to broaden our market reach, particularly within the Chinese market.”
The $10 million investment was led by 360 Capital Partners, a European venture capital firm with significant investments and experience in the global automotive space. Arbe’s existing shareholders—Canaan Partners Israel; iAngels; Manic Mobility; OurCrowd; O.G. Tech Ventures, the VC arm of Eyal Ofer; and Taya Ventures—also participated in the funding.
Arbe Robotics’ says its radar processing method is a full-stack 4D imaging system that provides a cost-effective, long-range, high-resolution radar solution—providing improved products for level 2 automation at a lower cost and enabling level 3 automation as well as levels 4 and 5 fully autonomous driving for the automotive industry. The company’s platform implements two technologies to reportedly create a full, comprehensive sensing solution for vehicle autonomy: ultra-high-resolution radar and simultaneous localization and mapping (SLAM).