Can fully autonomous vehicles become a reality?

While these AI systems are trained offline, they need to process the sensor data in real time in the vehicle. Today, autonomous vehicles have hit the processing efficiency wall and are unable to transition to Level 3+ autonomy and beyond. Recogni is focused on creating high performance and low power AI processing to help make autonomous vehicles a reality.

Founded in 2017 and headquartered in San Jose, Calif., the company has operations in Munich, Germany and is positioning itself to revolutionise perception processing for Level 2+ autonomous vehicles. Using a Vision Cognition Processor, Recogni will solve the endpoint inferencing problem with autonomous vehicles efficiently and change the trajectory of full level 3, 4, and 5 autonomy. The company’s founders possess deep industry experience in system design, AI, vision, and custom silicon design.

"We see a huge opportunity here to truly achieve the goal of full vehicle autonomy with the Recogni platform,” said Ashok Krishnamurthi, Managing Partner at GreatPoint Ventures. “While scoping the market, we realised that most of the neural network accelerator technologies are either optimised for performance or power - none are optimised for both. We believe that the Recogni platform is orders of magnitude superior to anything we have seen.

"Further, this is a team we've known for years and have backed in the past. They are the right group to not only develop this promising technology but also get it into the hands of the auto OEMs.”

Recogni plans to use the funds to deliver the most capable inferencing system to enable sensor fusion of visual and depth sensor data while continuing to grow its top-tier engineering team. Recogni is currently in discussions with multiple auto manufacturers, to provide them with the full suite of enabling technology from modules to the software.

Supporting quotes

“Autonomous systems are becoming smarter, driven by more powerful edge processing. The next opportunity is to achieve this higher machine intelligence at much lower power,” said Jim Adler, Founding Managing Director of Toyota AI Ventures. “We are excited by Recogni’s inference architecture for high performance, low power AI computing at the edge, and look forward to working with the team to build a world of safe and efficient autonomous systems.”

“We truly believe in the sensor fusion based on Camera, RADAR and LIDAR, but computational requirements for those algorithms remains one of the critical bottlenecks in Autonomous Driving today,” said Sebastian Stamm, Investment Manager at Fluxunit - OSRAM Ventures. “Recogni solves this problem with a unique and disruptive approach - we are proud to back this team of world-class IC and system developers as well as Automotive AI experts.”

“The issues within the Level 2+, 3, 4 and 5 autonomy ecosystem range from capturing/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.

“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 at the lowest power consumption. This round, one of the largest initial venture rounds raised by any AI silicon company in the space, is testament to our experience and responsible approach."