MAXIEYE

MAXIEYE operates as a technology and service provider in China's autonomous driving sector, specializing in the development of systems for the transportation industry. Founded in 2016 by Zhou Shengyan, who also serves as the CEO, the company is headquartered in Ningbo with additional offices in Shanghai. MAXIEYE's business strategy focuses on providing Advanced Driver-Assistance Systems (ADAS) for a wide range of vehicle platforms and Autonomous Driving Systems (ADS) for various scenarios, targeting the factory-installed market for both passenger cars and commercial vehicles.

The company has demonstrated a progressive product development timeline, releasing its first-generation visual product in 2017, followed by a second-generation product with deep learning algorithms in 2018. By 2021, MAXIEYE had achieved mass production of its L2 driver-assistance systems. A significant milestone was the announcement of its advanced Level 2++ intelligent driving system, MAXIPILOT - NOM (Navigate on MAXIPILOT), in early 2022, which was slated for mass production that same year. This system aims to make autonomous driving technology more accessible by targeting passenger cars in a lower price range, a significant portion of the Chinese market. The company has secured substantial funding over several rounds, including a Series D round in October 2024, raising a total of over $150 million from investors such as Aptiv, People's Daily, and Cedarlake Capital. In a strategic move, Aptiv's investment of approximately 570 million yuan in October 2024 made it the largest shareholder with an 18% stake.

MAXIEYE offers a full-stack, customizable autonomous driving solution, covering perception, fusion, planning, and control technology. Its product portfolio includes L0-L2 intelligent driving functions through its MAXIPILOT 1.0 system and more advanced capabilities with MAXIPILOT 2.0. The MAXIPILOT 2.0 system is a high-performance solution utilizing a Bird's Eye View (BEV) transformer network and an 8M visual perception platform to support functions like high-speed Navigate on Autopilot (NOA). A key differentiator is the company's focus on creating cost-effective systems by primarily using millimeter-wave radars and visual cameras, rather than relying heavily on more expensive LiDAR technology. This approach, combined with a data-driven strategy leveraging over 200 million kilometers of real road data, allows for continuous product iteration and enhancement.

Keywords: autonomous driving, advanced driver-assistance systems (ADAS), intelligent driving, mobility technology, computer vision, automotive technology, mass production, passenger cars, commercial vehicles, full-stack solution, BEV transformer network, Navigate on Autopilot (NOA), sensor fusion, motion planning, vehicle control, data-driven development, automotive software, smart mobility, road safety technology, China automotive market