At a time when general-purpose robots are rapidly transitioning to a large-model-driven paradigm, the continued backing of top-tier capital carries significant trendsetting implications. Following an A-round led by NIO Capital and joined by several prominent institutions, Dexmal has now secured a major investment from Alibaba, reflecting the capital market’s long-term confidence in the “embodied AI + large model” technology route.
Notably, this funding will be allocated to three primary areas: building high-efficiency AI chip sets, developing multimodal large-model interaction systems, and establishing an industrial-scale robot testing base. These correspond precisely to the industry’s current pain points of computing bottlenecks, algorithm adaptation, and real-world deployment challenges.
From an industrial perspective, the embodied AI field is undergoing a shift from point-based technological breakthroughs to full-stack capability building. As giants like Nvidia and Tesla enter the fray, domestic companies urgently need to build differentiated advantages in underlying computing infrastructure and AI-native hardware architectures. The scale of Dexmal’s latest financing, which already rivals some Series B rounds, underscores the high cost of technological breakthroughs in this sector.