$270 million.
That figure marks the threshold where physical AI funding transitions from curiosity to conviction. DiGa Robots (地瓜机器人) closed its extended B-round at this total on Wednesday, with $150 million added to an initial tranche that brings the full round to $270 million.
This is not a research grant. The capital comes from Sequoia China and Hillhouse Capital, alongside Matrix Partners and Shunwei Capital—funds that deploy at scale when commercial trajectories clarify. Their presence signals a thesis: DiGa has moved past proof-of-concept into the territory where manufacturing contracts and revenue projections replace laboratory demonstrations.
The company builds humanoid robots for logistics and manufacturing. Those sectors face structural labor shortages that create immediate demand for automation solutions. DiGa claims its systems achieve human-level performance on specific manipulation tasks—a benchmark that matters when the alternative is unfilled positions on factory floors.
The broader market context reinforces this thesis. Physical AI funding has shifted. Figure raised $675 million. AgiBot closed $140 million. The infrastructure, locomotion, and manipulation problems that once defined research agendas have become commercial categories. Investors who watched software eat the world now ask whether hardware will follow, and Chinese manufacturers occupy a strategic position in that supply chain.
DiGa's $270 million positions the company for international expansion—overseas sales infrastructure and partnership networks that require capital but also execution speed. The question is whether the company can scale manufacturing while maintaining the reliability that commercial contracts demand.
The deal size itself is the signal. Physical AI has crossed from research into deployment bets. The number tells you investors are no longer asking whether this market exists. They are asking who wins it.