All News

Figure Valued at $39B After $1B+ Series C

Figure announced a Series C round exceeding $1 billion that values the humanoid robotics company at $39 billion. Backers include Parkway Venture Capital, Brookfield, Nvidia, and Intel Capital. Figure will use funds to scale robot fleets, expand training infrastructure, and accelerate data collection while navigating secondary-market share restrictions.

Published September 16, 2025 at 01:10 PM EDT in Artificial Intelligence (AI)

Figure reaches $39B valuation after $1B-plus Series C

Humanoid robotics startup Figure announced a Series C round on Tuesday that exceeded $1 billion and values the company at $39 billion. The round was led by Parkway Venture Capital and included participation from Brookfield Asset Management, Nvidia, and Intel Capital, among others.

Founded in 2022, Figure has now raised nearly $2 billion total and said the new capital will be used to scale its humanoid robot fleet, build the infrastructure to accelerate robot training, and expand advanced data collection efforts that power perception and control systems.

Figure has been a high-profile private market name this year: CEO Brett Adcock previously called it one of the most “sought-after” stocks on the secondary market. At the same time, the company has sent cease-and-desist letters to several secondary brokers it says were unauthorized to sell shares.

Why this matters: the round signals continued investor appetite for robotics that work alongside people in warehouses, factories, and logistics hubs. The presence of Nvidia and Intel Capital highlights the compute- and AI-centric nature of Figure’s roadmap: large-scale training, specialized accelerators, and heavy data needs.

  • Capital will accelerate fleet deployment but also raises operational scale challenges — charging, maintenance, safety validation.
  • Large training pipelines and data collection programs will demand cloud and edge orchestration, plus strict data governance.
  • Customer adoption will hinge on clear ROI, integration with existing automation, and workforce safety and reskilling plans.
  • Secondary-market restrictions on shares underline governance and liquidity considerations startups face as they scale.

Practical view: investors are betting that humanoid robots can move beyond demos to repeatable industrial use cases — pick-and-place in warehouses, inspection tasks in factories, and labor augmentation in logistics. But transitioning from prototype to thousands-of-units fleets is a different engineering and operational problem: fleet management, continuous learning, safety validation, and capital-efficient manufacturing all become scaling constraints.

The involvement of chip and infrastructure investors suggests that compute strategy — where training happens, how data is labeled and looped back into models, and hardware acceleration — will be central to Figure’s next phase. That’s consistent with broader industry moves where software, data, and silicon form an intertwined stack.

For enterprises and industrial operators evaluating humanoid robotics, the questions are now practical: what productivity gains are achievable in 12–36 months, how to integrate robots with existing automation, and what governance model protects operations and workers?

How QuarkyByte sees it: scaling humanoid robotics is as much a data and systems problem as it is a mechanical one. Successful deployments require robust training data pipelines, predictable compute economics, staged fleet rollouts, and clear metrics for performance and safety. Organizations that align procurement, operations, and workforce planning early reduce integration risk and shorten time-to-value.

Figure’s $39 billion valuation reflects high expectations — and a heavy delivery challenge. For businesses, governments, and industrial leaders, the opportunity is real but will reward disciplined pilots, data-first validation, and end-to-end operational planning.

Keep Reading

View All
The Future of Business is AI

AI Tools Built for Agencies That Move Fast.

QuarkyByte can model ROI for large-scale humanoid fleet deployments, design scalable training-data pipelines, and map compute and regulatory risks for warehouses and factories. Contact our analysts to stress-test your automation strategy and quantify time-to-value under multiple adoption scenarios.