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EngineAI Raises Nearly RMB 1 Billion for Humanoid Robotics Innovation


EngineAI Raises Nearly RMB 1 Billion for Humanoid Robotics Innovation
  • by: PR Newswire
  • |
  • July 24, 2025

EngineAI, a Shenzhen-based leader in humanoid robotics, has secured nearly RMB 1 billion ($139.3 million) in its Pre-A++ and A1 funding rounds. These investments, led by XPeng-backed Rockets Capital and JD.com, with participation from CATL Capital, Yintai Group, and others, position EngineAI for mass production and global expansion in embodied intelligence technologies.

Quick Intel

  • EngineAI raises nearly RMB 1 billion in Pre-A++ and A1 funding rounds.

  • Funding led by Rockets Capital and JD.com, with CATL Capital and others.

  • Focus on mass production, product diversification, and embodied AI R&D.

  • Strategic partnerships with NVIDIA, Amazon, JD.com, Tencent, and ByteDance.

  • Targets $100 billion humanoid robotics market by 2030.

  • Expanding workforce and production for Q4 2025 optimization upgrades.

Significant Funding for Robotics Innovation

EngineAI’s recent funding rounds, totaling nearly RMB 1 billion, mark a pivotal moment for the humanoid robotics industry. The Pre-A++ round, led by XPeng-backed Rockets Capital, and the A1 round, spearheaded by JD.com with participation from CATL Capital, Yintai Group, TH Capital, Guochen Venture Capital, and Huangpu River Capital, reflect strong investor confidence. Existing shareholders also contributed, enabling EngineAI to scale production and advance its technology.

Advanced Technology Driving Market Leadership

EngineAI’s proprietary joint modules deliver industry-leading explosive power, torque, and rotational speed, enabling lifelike robot movements. By addressing Sim2Real challenges, the company achieves millimeter precision in complex maneuvers like dancing, front flips, and sprinting. "Our proprietary joint modules set industry benchmarks for explosive power, torque, and rotational speed, enabling lifelike motion," noted an EngineAI spokesperson. This technological edge positions EngineAI as a rising star in the $100 billion humanoid robotics market projected for 2030.

Innovative Business Model for Rapid Growth

EngineAI’s "open-source hardware + ecosystem profit-sharing" model fosters rapid market penetration through strategic partnerships with industry giants like NVIDIA, Amazon, JD.com, Tencent, and ByteDance. This approach drives application diversification across commercial services, hazardous operations, and cultural tourism. By merging traditional control systems with reinforcement learning, EngineAI enhances efficiency, precision, and reliability, meeting enterprise demands in manufacturing, services, and logistics while expanding into consumer households.

Strategic Use of Capital

The newly secured funds will drive EngineAI’s core initiatives in H2 2025. The company is scaling its product matrix, which includes bipedal and full humanoid robots across performance tiers, with a 5x expansion of its production team to meet rising demand. Additionally, intensified R&D in embodied intelligence will accelerate technology commercialization, strengthening EngineAI’s global market position. Production segments are already exceeding capacity targets, with optimization upgrades planned for completion by Q4 2025.

Workforce and Partnership Expansion

EngineAI is bolstering its workforce across R&D, production, and market expansion roles while enhancing internal training programs to build technical and leadership capabilities. Strategic collaborations with NVIDIA, Amazon, JD.com, Tencent, and ByteDance are accelerating large-scale commercial adoption, ensuring EngineAI’s solutions meet diverse industry needs. These efforts position the company for successful mass-market penetration and sustained innovation.

EngineAI’s funding success and strategic vision underscore its leadership in humanoid robotics. With robust investor backing and cutting-edge technology, the company is poised to transform industries and drive the global adoption of embodied intelligence by 2030.

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