Mountain View, Calif. (July 31, 2019) –BMW i Ventures announced an investment in Recogni Inc., designers of a vision-oriented artificial intelligence (AI) platform for autonomous vehicles. Recogni Inc focuses on creating high-performance and low-power AI processing to help make autonomous cars a reality.

“The ability to process sensor data on the edge efficiently and in real-time is essential in the development of autonomous vehicles,” said Marcus Behrendt, partner BMW i Ventures. “We believe that Recogni Inc. has the right approach and they have an experienced team to help solve these critical issues as the automotive industry continues on its path towards semi-autonomous and fully autonomous vehicles.”

Founded in 2018 and headquartered in San Jose, Calif., Recogni has business operations in Munich, Germany and is positioning itself to revolutionize perception processing for Level two+ autonomous vehicles. Using a Vision Cognition Processor, Recogni will solve the endpoint inferencing problem with autonomous cars and change the trajectory of full level three, four, and five autonomy. The company’s founders possess deep industry experience in artificial intelligence, system design, vision, and custom silicon design.

“The issues within the Level 2+, three, four, and five autonomy ecosystem range from capturing and generating training data to inferring in real-time. These vehicles need datacenter class performance while consuming minuscule amounts of power,” said RK Anand, CEO of Recogni Inc. “Leveraging our background in machine learning, computer vision, silicon, and system design, we are engineering a fundamentally new system that benefits the auto industry with very high efficiency with the lowest power consumption. This round, one of the largest initial venture rounds raised by any artificial intelligence silicon company, is a testament to our experience and responsible approach.”

Recogni Inc plans to use the funds from the investment to deliver an inferencing system to enable the state of the art sensor fusion of visual and depth sensor data while continuing to grow its top-tier engineering team.