JD.com
JD.com is a corporate investor based in 北京, China, founded in 2004. JD.com has deployed $80M in robotics investments. Its humanoid robotics portfolio includes Spirit AI, LimX Dynamics, EngineAI. Focus areas include 电子商务, 零售, 物流.
Portfolio companies (3)
Funding rounds (3)
Round size: $139M
Round size: Undisclosed
Round size: Undisclosed
About
JD.com is a corporate investor based in 北京, China, founded in 2004. JD.com has deployed $80M in robotics investments. Its humanoid robotics portfolio includes Spirit AI, LimX Dynamics, EngineAI. Focus areas include 电子商务, 零售, 物流.
Related news
Chinese Robotics Firm Says Humanoids Could Follow Verbal Instructions For Most Tasks By 2027, Reaching a “ChatGPT Moment.”
Chinese robotics firm Spirit AI predicts humanoid robots could follow verbal instructions for most tasks by mid-2027, reaching a ChatGPT moment for the industry. The company's co-founder Gao Yang outlined a phased commercialization path starting with industrial applications, then commercial services, with home deployment remaining the hardest challenge. Spirit AI has deployed its Moz1 robots at CATL and JD.com, raised over $670M since 2024, and is valued at approximately $2.9B.
Chinese Startup Spirit AI Says Humanoid Robots That Follow Verbal Commands Will Arrive by Mid-2027
Chinese startup Spirit AI has announced that humanoid robots capable of completing tasks through verbal commands alone could become reality by mid-2027, positioning this as a breakthrough comparable to GPT-3. The company, founded in 2024, has raised over $670 million with a valuation approaching $3 billion and already deployed its Moz1 robot at CATL and JD.com, though home adoption is projected to remain more than eight years away due to challenges with fine motor skills.
Humanoid Robots Are Closing In on Their 'ChatGPT Moment,' Chinese Startup Says. It Predicts a Breakthrough Soon.
Spirit AI, a Chinese humanoid robotics startup founded in 2024, claims its technology could reach a breakthrough comparable to generative AI by mid-2027, allowing robots to understand natural language instructions and execute physical tasks. The company reports its robots already achieve a 90% success rate on simple tasks in structured environments and are deployed at CATL and JD.com production facilities.