QCraft Accelerates Global Expansion and Breakthrough AI Research to Power the Next Generation of Autonomous Mobility
QCraft, a global leader in autonomous driving artificial intelligence, has announced the successful completion of a new $100 million Series D financing round, marking a significant milestone in the company’s mission to accelerate the development of physical AI for real-world mobility applications. The funding underscores growing investor confidence in the transformative potential of autonomous driving technologies and the broader shift toward intelligent systems that can operate seamlessly in complex physical environments.
The Series D round was backed by a consortium of prominent institutional and strategic investors, including Ningbo Ninghai Xingtaihe Fund, Wonderland Capital, Liangxi Science and Innovation Industry Investment Fund Partnership—managed by Broad Vision Funds—as well as participation from a leading original equipment manufacturer (OEM) and a major automotive electronics components supplier. This diverse investor base reflects strong cross-sector alignment around QCraft’s vision of integrating advanced AI capabilities into next-generation transportation systems.
The newly secured capital will be strategically deployed across two primary areas. First, QCraft plans to significantly expand its investment in frontier research and development, particularly in the domains of world models and reinforcement learning. These technologies are widely regarded as foundational pillars for enabling machines to perceive, interpret, and interact with the physical world in a more generalized and adaptive manner. Second, the company aims to strengthen its organizational infrastructure by scaling its global talent pipeline, enhancing operational capabilities, and building a more robust international presence to support long-term growth.
Dr. James Yu, Chairman and CEO of QCraft, emphasized the broader significance of this moment in the evolution of artificial intelligence. According to Dr. Yu, the year 2026 represents a pivotal inflection point, where AI systems are rapidly transitioning from human-like capabilities toward superhuman performance across a range of domains. He highlighted that the most impactful opportunities in AI over the next decade will emerge in the physical world, where intelligent systems must navigate dynamic, unpredictable environments. In this context, autonomous driving serves as one of the most compelling and immediate applications of physical AI, offering a direct pathway to real-world deployment at scale.
QCraft’s strategic roadmap reflects this vision. The company is intensifying its focus on Level 4 (L4) autonomous driving—where vehicles can operate without human intervention in specific conditions—while simultaneously advancing its broader ambitions in general-purpose physical AI. A key component of this strategy involves accelerating international expansion efforts, enabling QCraft to bring its technologies to new markets and establish partnerships with global automotive leaders. At the same time, the company is doubling down on research into world models and reinforcement learning, which are critical for enabling autonomous systems to learn from experience, predict outcomes, and make complex decisions in real time.
The funding announcement comes at a time when QCraft is achieving significant commercial and technological milestones. Its flagship intelligent driving system, QPilot, has now been deployed in over one million vehicles across nearly 30 production models, in collaboration with close to 10 top-tier OEM partners. This level of adoption highlights the scalability and reliability of QCraft’s technology, as well as its growing influence within the automotive ecosystem.
One of the company’s standout innovations is the QPilot Pro system, which delivers advanced urban Navigate on Autopilot (NOA) capabilities using a single 128 TOPS (trillions of operations per second) computing chip. This achievement represents a major breakthrough in efficiency and performance, enabling high-level autonomous functionality without the need for expensive, power-intensive hardware configurations. The industry has taken notice, with QCraft earning comparisons to disruptive AI innovators and even being dubbed “the DeepSeek of the autonomous driving sector,” a nod to its rapid progress and technological ambition.
Looking ahead, QCraft plans to further expand the deployment of its technology across a broader range of vehicles. In 2026 alone, the company expects to integrate its intelligent driving systems and urban NOA capabilities into more than 50 new vehicle models. This aggressive rollout strategy is designed to accelerate the adoption of autonomous driving features and bring advanced mobility solutions to a wider consumer base.
In parallel, QCraft is preparing to unveil its next-generation world model and reinforcement learning platform, which is expected to represent a major leap forward in the company’s technological capabilities. This platform aims to enable more generalized and adaptive AI systems, capable of understanding and interacting with the physical world in a manner that goes beyond traditional rule-based or perception-driven approaches. By combining large-scale data, simulation environments, and advanced learning algorithms, QCraft is positioning itself at the forefront of the emerging physical AI paradigm.
Beyond passenger vehicles, QCraft is also making significant strides in the Level 4 autonomous logistics sector. The company has established itself as a leading player in this space by pioneering an innovative “Operations from Day One of Production” model. This approach allows autonomous vehicles to be commercially deployed immediately upon production, streamlining the path from manufacturing to real-world operation. QCraft’s autonomous logistics vehicles are already in active commercial use across several Chinese cities, including Jinhua, Wuhu, and Ningbo, demonstrating the viability of its technology in real-world scenarios.
These deployments not only validate QCraft’s technical capabilities but also highlight the broader economic and operational benefits of autonomous logistics solutions, such as increased efficiency, reduced labor costs, and improved safety. As global supply chains continue to evolve, the demand for intelligent, autonomous transportation systems is expected to grow, providing QCraft with a significant opportunity to expand its footprint in this rapidly emerging market.
Overall, the successful completion of the $100 million Series D funding round marks a critical step forward for QCraft as it continues to push the boundaries of autonomous driving and physical AI. With strong investor backing, a clear strategic vision, and a growing portfolio of commercial deployments, the company is well-positioned to play a leading role in shaping the future of intelligent mobility.
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