Neolix Autonomous Logistics Fleet Surpasses 100M Kilometers

Neolix announced that its fleet of Level 4 autonomous RoboVans has driven over 100 million kilometers in real-world operations. The milestone demonstrates the growing maturity and commercial scale of embedded AI and robotics systems in the autonomous logistics sector.

- Neolix's vehicles utilize a proprietary full-stack technology, including a Transformer-based BEV vision algorithm. The sensor suite consists of 12 high-definition cameras and LiDAR, processed by NVIDIA's Orin computing platform, which provides 254 TOPS of computing power for 360-degree perception. - The company operates a dedicated L4-grade autonomous vehicle factory with a current annual capacity of 10,000 units; it plans to expand this to 30,000 units annually, with a target production time of one vehicle every 10 minutes. - The fleet includes a range of specialized vehicles: the X1 for "final-feet" delivery navigating sidewalks and building lobbies, the X3 for last-mile urban logistics, the X6 for middle-mile routes, and the H12 for high-capacity regional distribution. - To fuel its expansion, Neolix recently raised over $600 million in a Series D funding round, the largest private financing deal in China's autonomous driving sector to date. Key investors include UAE-based StoneVenture, Gaocheng Capital, and CITIC Capital. - Neolix has established major partnerships with logistics companies in China, including SF Express, JD Logistics, and China Post, covering nearly 70% of key account tenders in the express delivery sector. - The company is expanding globally through strategic partnerships, including a collaboration with K2 Group to deploy RoboVans in the UAE, an agreement with the Incheon Metropolitan Government in South Korea, and a partnership with Luxmea for entry into the European market. - In addition to vehicle sales, Neolix has launched a RoboVan-as-a-Service (RVaaS) model in partnership with Didi Freight, aiming to lower the barrier to adoption for on-demand logistics services. - The company's AI-powered Dispatch Center uses foundation models and deep learning to automate logistics, including order processing, dynamic routing, and real-time dispatching for fleets projected to exceed 100,000 vehicles.

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