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Chinese Autonomous Driving Startup Rino.ai Raises Nearly $68 Million in Series B+ Round

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AI中国

AI技术专栏作家 | 发布了 246 篇文章

TMTPOST – Rino.ai, a Chinese developer of L4 autonomous driving solutions, has closed its Series B+ financing round, bringing total Series B funding to nearly $68 million.

Existing investors SF Express and Linear Capital continued to participate, while new backers including Yi Jun Capital, 360 Fund, and Huatai Zijin joined the round. SF Express’s investment marks its third in Rino.ai within a year, following an initial stake in August 2024.

Founder and CEO Zhu Lei said the new capital will be directed toward three core areas: development of automotive-grade unmanned vehicles, continued AI technology iteration, and expansion of commercial applications. These initiatives aim to accelerate large-scale deployment in China’s last-mile logistics sector.

Founded in 2019 by a team with roots in Baidu’s autonomous driving division, Rino.ai initially focused on supermarket deliveries through partnerships with retailers such as Yonghui and Hema. Since 2023, the company has shifted its focus to express delivery, particularly routes from distribution centers to parcel stations.

Rino.ai’s fleet has grown from nearly 100 vehicles at the end of 2024 to more than 1,000 active units today, operating in over 100 cities and serving major logistics players including SF Express, ZTO Express, J&T Express, and China Post. According to the company, unmanned vehicles can cut last-mile delivery costs by 30%–50% and free couriers from 4–5 hours of daily shuttle work, boosting operational efficiency and business volume by more than 20%.

The startup is also broadening its reach beyond express logistics. Its campus delivery network, developed with Ele.me, aims to cover 100 universities by next year, while other deployments include supermarket and industrial logistics.

A key focus of the Series B+ funding is the development of automotive-grade unmanned vehicles. Rino.ai is adhering to industry standards across design, supply chain, and manufacturing, with rigorous testing to ensure safety, reliability, and longevity. The approach addresses customer concerns and facilitates regulatory compliance for road operations.

Looking ahead, Rino.ai plans to expand into retail restocking and intra-city freight, with an active vehicle fleet target of 5,000 by 2026. The company also aims to develop unmanned vehicle products for global markets, driving large-scale adoption worldwide.

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AI前线

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246篇文章 1.2M阅读 56.3k粉丝

评论 (128)

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AI爱好者

2小时前

这个更新太令人期待了!视频分析功能将极大扩展AI的应用场景,特别是在教育和内容创作领域。

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开发者小明

昨天

有没有人测试过新的API响应速度?我们正在开发一个实时视频分析应用,非常关注性能表现。

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AI前线 作者

12小时前

我们测试的平均响应时间在300ms左右,比上一代快了很多,适合实时应用场景。

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科技观察家

3天前

GPT-4的视频处理能力已经接近专业级水平,这可能会对内容审核、视频编辑等行业产生颠覆性影响。期待看到更多创新应用!