QCraft, a developer of autonomous driving AI, has announced the completion of a $100 million new Series D funding round.
The round was completed by a consortium of investors including Ningbo Ninghai Xingtaihe Fund, Wonderland Capital, Liangxi Science and Innovation Industry Investment Fund Partnership (managed by Broad Vision Funds), as well as strategic investors from a leading OEM and automotive electronics components supplier.
The proceeds will be directed toward two priorities:
- Advancing frontier physical AI research and development, with a particular focus on world models and reinforcement learning
- Strengthening the company’s organizational capabilities and global talent pipeline
Dr James Yu, chairman and CEO of QCraft, says: “2026 marks a critical inflection point in AI development. We are transitioning from ‘human-like’ intelligence to superhuman intelligence.
“Over the next five to 10 years, the greatest opportunities in AI will emerge in the physical world – and that is precisely what makes autonomous driving so exciting. It is the best and most direct gateway into physical-world AI.”
Dr Yu stated that QCraft is putting its strategic focus toward the SAE’s Level 4 autonomous driving and general physical AI, while accelerating its international expansion and doubling down on world model and reinforcement learning R&D.
The funding comes as QCraft reaches several major milestones. Its QPilot intelligent driving system has surpassed one million vehicles in deployment across nearly 30 production models with close to 10 top-tier OEM partners.
The company’s QPilot Pro product – which achieves leading urban Navigate on Autopilot (NOA) performance on a single 128 TOPS chip – has drawn significant industry attention, earning QCraft the nickname “the DeepSeek of the autonomous driving sector.”
In 2026, the company expects to add its technology and urban NOA capabilities to more than 50 new vehicle models.
QCraft’s world model and reinforcement learning platform is also set for an imminent public debut, representing the company’s next technological leap toward general physical-world AI.
In the L4 sector, QCraft has become a top player in the autonomous logistics market, pioneering an industry-first “Operations from Day One of Production” model. These vehicles are already commercially deployed in Jinhua, Wuhu, Ningbo, and other Chinese cities.
On the Robotaxi front, QCraft plans to launch a new pilot program in 2026 with full-scale deployment targeted for 2027.
