Enjoy Move Technology

About Enjoy Move Technology

Established in Shanghai in 2018, Enjoy Move Technology positions itself as a specialized provider of high-performance computing software platforms and autonomous driving products for intelligent vehicles. The company was founded by Huang Ying, who serves as CEO, and Wu Junjie, a co-founder with a background as the chief engineer for safety electronics in the Asia-Pacific region at Aptiv. Huang Ying previously acted as the general manager of the automotive business unit at Pactera, where he managed a large team focused on automotive electronics, bringing two decades of experience in the Chinese automotive industry's IT and digital sectors. The founding team was driven by the observation that the domestic intelligent driving market lacked independent capabilities for developing ADAS control and decision-making applications.

Enjoy Move Technology's business model centers on providing car manufacturers and automotive parts companies with the core technologies needed to implement Advanced Driver-Assistance Systems (ADAS) and autonomous driving features. The company operates as a key bridge between integrated circuit (IC) providers and the realization of automated driving technology. Its client base includes prominent automakers such as SAIC, Great Wall, and Li Auto, for whom its middleware and communication protocol stacks have been mass-produced. Revenue is generated by supplying these software platforms and solutions, which enable clients to develop and deploy intelligent vehicle functionalities more efficiently.

The company's flagship offering is the EMOS software platform, a proprietary, self-developed middleware designed for high-performance computing in intelligent driving and central gateway applications. EMOS supports deterministic communication and scheduling and is compatible with mainstream chip platforms and AUTOSAR AP. A core module of EMOS has achieved the highest level of product certification, ASIL D, from TÜV Rheinland. Another key product is the EM-Parking System, a full-stack, self-developed algorithm for low-speed autonomous driving that provides high-precision environment perception and real-time parking path planning. This system is designed to have low computing power requirements and can be mass-produced within three months, supporting various scenarios like multi-story and drag parking. The firm has secured multiple funding rounds, including a Series B1 round of nearly 100 million RMB in July 2022 from investors like Continental AG and SenseTime, and a Series B2 round in June 2023.