Mar. 21, 2025
Source: Jiemian News
March 21, 2025 — Rino.ai, a leading L4-level autonomous driving company, announced that Huang Gang, former General Manager of Dongfeng Commercial Vehicle, has officially joined as President. Huang will take full charge of scaling up Rino.ai’s autonomous delivery vehicle mass production, overseeing product planning, new model development, manufacturing, supply chain management, and industry partnerships.
With nearly three decades at Dongfeng, Huang led the company to top industry performance in the medium- and heavy-duty truck sector, shaping the growth of China’s commercial vehicle industry while building deep expertise in strategy, operations, and industry networking.
Before joining Rino.ai, Huang served as Executive Vice President and Chief Product Officer at Inceptio Technology, where he spearheaded the Intelligent Vehicles Division and successfully brought L3 autonomous trucks into mass production, gaining extensive hands-on experience in scaling autonomous commercial vehicle programs.
Why Rino.ai?
Huang cited Rino.ai’s technical leadership in urban autonomous delivery and its proven track record in commercial deployments as decisive factors:
“Urban autonomous delivery is now at a critical pre-mass-production stage. Before ramping up at large scale, we need to fully prepare. My goal is to apply ‘automotive-grade’ standards from the commercial vehicle sector, building a complete production and operations system so our products are thoroughly refined and validated before scaling up further.”
Drawing on his full value-chain experience at Dongfeng, Huang aims to help Rino.ai establish a robust yet agile organizational and process framework, positioning the company for the coming wave of large-scale commercialization.
Rino.ai: Leading the Next Era of Autonomous Delivery
Since its founding in 2019, Rino.ai has focused on autonomous delivery operations on public roads.
In early 2020, at the height of the pandemic, Rino.ai was the first to deploy unmanned vehicles to Wuhan’s temporary hospitals for urgent medicine and supply transport.
In 2022, it became the first in the industry to operate all-weather, fully driverless commercial services in the central business district of a major city (Hefei).
Today, Rino.ai operates in over 40 cities including Beijing, Shanghai, Shenzhen, Hefei, Suzhou, Wuxi, Sanya, and Xi’an, in partnership with major logistics and retail players such as Yonghui, Dada, Hema Fresh, SF Express, China Post, ZTO, JD Logistics, J&T, YTO, and Yunda.
The business impact is measurable:
In Wuhan, a courier hub reduced per-order costs by ¥0.10 after deploying just three Rino.ai vehicles, saving ¥15,000 per month.
A direct-operation partner increased daily parcel deliveries and pickups per courier by 20% after introducing unmanned vehicles.
Three Core Advantages
Huang highlighted Rino.ai’s distinct competitive strengths:
Technical Prowess – Co-founders Zhu Lei (former founding member of Baidu’s autonomous vehicle program) and Xia Tian (deep learning pioneer, founding member of Baidu’s Deep Learning Lab) have led the development of industry-first technical, product, and operational milestones.
Operational Efficiency – Delivering at leading technical and product levels, Rino.ai achieves 3–5× higher human efficiency than peers, while also optimizing computing power and cost — e.g., achieving L4 commercial operations with just 100 TOPS computing power.
Team Culture – A focused, resilient, and resource-efficient team with a “never quit until it’s done” ethos.
An Industry at a Turning Point
Autonomous delivery has become a critical force in the logistics industry’s push toward intelligence, cost reduction, and efficiency. By reducing reliance on human labor, optimizing the integration of people, vehicles, goods, and sites, and enhancing both cost control and user experience, autonomous delivery offers transformative potential.
While 2025 is widely viewed as a commercialization inflection point, Huang cautions that challenges remain:
Few in the industry currently develop autonomous delivery vehicles to true automotive-grade standards.
Mature product development and validation systems are still lacking.
Large-scale AI deployment in real-world operations presents its own hurdles.
“Autonomous delivery is a marathon, and we’ve only just begun. 2025 will be our ‘year of discipline’ — expanding steadily while ensuring every deployed vehicle delivers safe, reliable performance. We owe that to our customers and to the market.”
With a solid product foundation and proven operational reliability, Huang is confident that within the next 3–5 years, Rino.ai will secure a leading position in the autonomous delivery race while achieving sustainable profitability and growth.
