On September 16, Figure AI, a US-based humanoid robotics company, announced the completion of a Series C funding round exceeding USD 1 billion (approximately RMB 7.1 billion).
This round of financing brings Figure’s valuation to USD 39 billion (approximately RMB 277.4 billion), a nearly 15-fold increase from its USD 2.6 billion Series B valuation last year.

The round was led by Parkway Venture Capital with significant investment from Brookfield Asset Management, NVIDIA, Macquarie Capital, Intel Capital, Align Ventures, Tamarack Global, LG Technology Ventures, Salesforce, T-Mobile Ventures, and Qualcomm Ventures.
Parkway Ventures, NVIDIA, Intel Capital, Align Ventures, and Tamarack Global are all existing shareholders, demonstrating the industry’s high expectations for the commercialization of its humanoid robots. Figure stated that the financing would be primarily used in three areas:
- Promoting the large-scale deployment of humanoid robots in homes and businesses;
- Building a next-generation GPU infrastructure for embodied intelligence model training;
III. Launching a program to collect large-scale real-world datasets, including human videos and multimodal sensory input, to further enhance robots’ ability to understand and operate in complex environments.
Notably, Brett Adcock previously announced on social media that he would make three big announcements within the next three days. This round is just the first salvo, with more key collaborations and product breakthroughs to come. We will keep an eye on its progress.

From its initial stages in 2022 to reaching an industry-high valuation of USD 39 billion in 2025, Figure’s “triple leap” not only set a new record for funding in the humanoid robot sector but also reshaped the outside world’s perception of the timeline and technological maturity of this sector. In the Silicon Valley context of intense concentration of capital, computing power, and narrative, Figure’s rise is not an isolated case, but it signals the accelerating formation of a paradigm of embodied intelligence: one that, with large models at its core and robots as its vehicle, redefines the physical interface of general artificial intelligence.
However, in the real world, Figure’s challenges are far from over. The generalizability of its Helix model, its ability to close the data loop in real-world scenarios, and the sustainability of its manufacturing and delivery systems—these three key issues will determine whether its transformation from a funding star to a commercial leader can truly materialize. Especially at a time when humanoid robots are being hailed as “the most complex systems engineering project of the next decade,” a formidable chasm remains between technological demonstration and scalable delivery.
Whatever the outcome, Figure deserves to be documented and we should keep an eye on its every step forward.
Note:
The 2024-2025 Global Mobile Robot Industry Development Report has been released. If you need it, please feel free to contact us.
For details of the report, please click https://cnmra.com/release-of-the-2024-2025-global-mobile-robot-industry-development-report/.


