GWM’s autonomous driving arm Haomo.ai receives investment from Meituan

Beijing (Gasgoo)- Great Wall Motor’s independent, autonomous driving unit, Haomo.ai, announced that it has raised nearly RMB1 billion in its Series-A round of financing.

Photo credit: Haomo.ai

China’s food delivery giant, Meituan, well-known venture capital, GL Ventures, and Qualcomm Ventures are all participants in the investment round. 

The company said that the funds will be mainly used to support its autonomous driving R&D, and talent system building. 

According to Haomo.ai’s CEO, Gu Weihao, the company aims to expand its passenger vehicle assistant driving project by seven times in 2022, and threefold the current terminal unmanned delivery vehicle project. 

Meanwhile, the company is facilitating a supercomputing center to further its data intelligence system development.

Haomo.ai has become one of the leaders in autonomous driving mass-production in China. With solid support from Great Wall Motor, the company leads the industry in cooperation model volume, revenuegenerated income volume, and its autonomous driving data warehouse scale.

Photo credit: Haomo.ai

Haomo.ai has developed a full-stack autonomous driving solution. The company’s assistant driving solutions have been implemented on numerous Great Wall Motor models, including the WEY Mocha, the TANK 300, and the HAVAL Shengshou, accumulating over 4 million kilometers of user mileage. 

By 2022, its assistant driving system will be deployed to 34 Great Wall Motor passenger vehicle models and over 1 million units in volume in three years.

On the other hand, Haomo.ai has partnered with various major companies regarding driverless terminal delivery vehicles, namely Meituan, Dmall, and Alibaba’s Damo Academy. The vehicles were already deployed into commerce delivery scenarios with a considerable market share. 

Additionally, Haomo.ai owns a 5,000 square meter production facility in Baoding, dedicated to L4 driverless delivery vehicles , with the world’s largest designed production capacity.