CarbonSix Raises $40 Million Series A for Physical AI in Manufacturing
CarbonSix has raised $40 million in Series A funding to expand deployment of its Physical AI technology across manufacturing facilities worldwide, announced in a press release. The round was co-led by DSC Investment and LB Investment, with participation from new investors IMM Investment, Korea Development Bank, SV Investment, Cortentia, and ASQ.
All existing seed investors, including Foothill Ventures, Storm Ventures, Zeitgeist Capital, Xquared, and CarbonBlack Fund, also joined the round. The company said it will use the funding to recruit top engineering talent and expand manufacturing AI deployments.
CarbonSix builds robotic intelligence software and hardware such as robotic hands and manipulators that can be integrated into production lines. Its system is designed for immediate factory use and collects operational data from deployments to refine its models through what it calls a "data flywheel." This approach allows its AI tools to improve continuously as they are used in real manufacturing environments.
The team behind CarbonSix includes CEO Tae-yeon Terry Moon, co-founder of SuaLab, acquired by Cognex, CTO H.J. Terry Suh, a Ph.D. graduate from MIT, and Chief Hardware Officer Je-hyeok Kim, a former Yale postdoctoral researcher.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Robotics Brief, AI Funding Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Robotics
More from: Funding
Subscribe to Industrial AI Weekly
The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more