Autonomous delivery leader Neolix has raised over $600 million in Series D funding, marking China’s largest private investment in autonomous driving to date. This record capital injection will accelerate technology refinement and global expansion for its fleet of L4 RoboVans.

The financial landscape of autonomous technology has been dramatically reshaped, as Neolix, the undisputed global leader in L4 autonomous delivery solutions, announced a colossal Series D funding round exceeding $600 million.
This monumental capital injection, finalized just days ago on October 25, 2025, isn’t merely a corporate milestone; it’s a seismic event, marking the largest private fundraising in China’s burgeoning autonomous driving sector to date and standing as one of the year’s most significant private investments across the nation.
This isn’t just a financial windfall for Neolix; it’s a resounding vote of confidence from a diverse and powerful consortium of investors, signaling a mature and highly promising future for commercial autonomous logistics.
Spearheaded by the UAE-based Stone Venture, the round saw significant participation from domestic heavyweights like Gaocheng Capital, CITIC Capital, CDH, Sparkedge Capital, Beijing AI Fund, and one of China’s largest internet platforms.
Further bolstering this impressive roster were Legend Capital, Gaorong Ventures, Templewater, and SAIC, creating an investment syndicate that spans both geographical boundaries and strategic interests.
The inclusion of foreign capital, particularly from the Middle East, underscores the global recognition of Neolix’s technological prowess and market potential, transcending national borders in a sector often viewed through a lens of domestic competition.
Founded in 2018 by Enyuan Yu, Neolix has not just grown; it has exploded onto the scene, fundamentally redefining the last-mile delivery landscape.
What makes Neolix’s ascendancy particularly noteworthy is its tangible, large-scale deployment of L4 RoboVans.
While many companies in the autonomous vehicle space are still navigating pilot programs and regulatory hurdles, Neolix boasts an astonishing record of over 10,000 L4 autonomous delivery vehicles deployed worldwide – a figure unmatched by any competitor.
The company recently celebrated a record month with 2,000 vehicle deliveries, a testament to surging market demand and efficient manufacturing capabilities.
These silent, self-driving workhorses are not confined to controlled test environments.
Neolix’s vehicles are an increasingly common sight in over 300 cities across China, with Qingdao alone hosting more than 1,200 units.
The popularity of models like the X3 and X6, each surpassing 4,000 deliveries, speaks volumes about their reliability and practical utility in diverse urban settings.
This isn’t just about moving packages; it’s about pioneering a new paradigm for urban logistics, one that promises efficiency, sustainability, and potentially, a significant reduction in traffic congestion and delivery costs.
Behind this impressive operational scale lies a bedrock of sophisticated technological innovation.
Neolix has developed its proprietary “Neolix-VA” AI model, designed to navigate the notoriously complex and dynamic traffic environments of Chinese cities with remarkable fluidity.
Complementing this is a map-less driving system, offering unparalleled flexibility for urban logistics, freeing vehicles from the constraints of pre-mapped routes.
An intelligent dispatch platform further optimizes the intricate dance between vehicles, road conditions, and delivery orders, ensuring seamless and efficient operations.
The numbers speak for themselves: Neolix’s fleet has collectively logged over 50 million kilometers in autonomous driving, a staggering distance that translates into invaluable data and continuous algorithmic refinement.
Having secured China’s first autonomous delivery license in 2021, Neolix has since cemented its market dominance, commanding over 60% of the cumulative delivery market share and serving more than 300,000 customers.
While it initially spearheaded express delivery solutions, the company is now strategically expanding its horizons into fresh produce, cold chain logistics, and instant delivery services, tapping into increasingly lucrative and demanding market segments.
This diversification highlights a strategic vision to capture a broader swathe of the logistics market, leveraging their established autonomous capabilities.
This infusion of capital is more than just fuel for expansion; it’s a strategic declaration of intent.
The $600 million will be meticulously deployed to further refine Neolix’s proprietary autonomous driving algorithms, accelerating product development for an array of new commercial applications.
Crucially, it will also enhance their global service network and user experience, preparing the ground for ambitious international expansion.
Their recent collaboration with an Abu Dhabi-based technology company, which culminated in securing the UAE’s first RoboVan license, serves as a clear precursor to this global ambition.
It demonstrates not only their technological readiness but also their adeptness at navigating diverse regulatory landscapes, a critical factor for international success.
The implications of Neolix’s trajectory extend far beyond its balance sheet.
This funding round underscores China’s unwavering commitment to leading the global charge in AI and autonomous technology.
It illustrates how practical, commercially viable applications of L4 autonomy – particularly in the less glamorous but highly essential field of goods delivery – are moving from theoretical promise to everyday reality.
As companies like Neolix continue to scale, they are not just delivering packages; they are delivering a future where urban environments are optimized by intelligent, self-reliant fleets, fundamentally altering how goods move from point A to point B.
This isn’t just a story about a company raising money; it’s a narrative about the accelerating pace of technological evolution and the pragmatic realization of a truly autonomous future.