Figure AI has announced it has exceeded $1 billion in committed capital through its Series C financing round, at a post-money valuation of $39 billion. The round was led by Parkway Venture Capital with significant investment from Brookfield Asset Management, NVIDIA, Macquarie Capital, Intel Capital, LG Technology Ventures, Salesforce, T-Mobile Ventures, and Qualcomm Ventures. Two years ago, Figure was a startup with a prototype. Today, with a valuation that surpasses many publicly traded manufacturers, the company is signaling something the industry can no longer ignore: general-purpose humanoid robots are no longer a long-horizon bet. They're a near-term industrial product — and the capital to prove it is now in place.
The Numbers That Stopped the Industry
Let's start with the valuation, because $39 billion demands context. When Figure raised its Series B of $675 million in early 2024, it was valued at $2.6 billion — which was itself considered remarkable for a company that hadn't yet shipped at commercial scale. The Series C valuation represents a 15x jump in under two years. That's not a normal funding trajectory. That's the kind of compression that happens when a market shifts from theoretical to urgent.
The $39 billion figure puts Figure in rarefied territory. It is now worth more than most publicly traded industrial robotics companies — including many that have been manufacturing automation equipment for decades. The investors backing that valuation are not naïve: they include infrastructure giant Brookfield Asset Management, semiconductor powerhouses NVIDIA, Intel Capital, and Qualcomm Ventures, consumer electronics firm LG Technology Ventures, enterprise software leader Salesforce, and telecom major T-Mobile Ventures. This is not a speculative VC round. This is a strategic coalition.
What the Money Is For
Figure has been unusually specific about how it plans to deploy the capital, outlining three core investment areas in its official announcement.
The first is scaling production and real-world deployment. Figure is expanding BotQ — its purpose-built manufacturing facility — to increase the number of robots it can physically build and ship. The company has already been operating humanoid robots at BMW's manufacturing plant in Spartanburg, South Carolina, where Figure 02 and Figure 03 units have been running data collection and use-case training operations. BotQ is the bottleneck between what Figure can demonstrate and what it can actually deploy. This capital removes that bottleneck.
The second is GPU infrastructure. Helix, Figure's AI system for embodied intelligence, is a generalist Vision-Language-Action model that controls the full loop of perception, movement, and reasoning — onboard and in real time. Training and improving that model requires enormous compute. The company is building dedicated GPU infrastructure to accelerate Helix training and simulation at scale. This is the same calculus that made foundation model companies race to own their own GPU stacks: model iteration speed is a competitive moat.
The third area is data collection. Helix needs real-world data — human video, multimodal sensory inputs, and behavioral examples across complex dynamic settings — to improve. Figure is launching structured data collection programs to feed that pipeline. In the physical AI paradigm, data is to robots what tokens are to language models: the raw material from which generalizable capability is forged.
Reading the Investor Coalition
The composition of this round is as telling as its size. Each major investor carries a strategic logic.
NVIDIA has been building its Physical AI platform — including Isaac Sim, Isaac Lab, and the Jetson Thor robotics compute platform — for years. NVIDIA also participated in Figure's Series B alongside Microsoft and OpenAI. Its continued backing suggests Blackwell-generation hardware will play a direct role in Figure's GPU infrastructure build-out, and that NVIDIA sees Figure as a flagship customer for its robotics compute stack.
Intel Capital and Qualcomm Ventures are both chip ecosystem plays. Qualcomm's DragonWing IQ10 robotics platform targets on-device AI inference in humanoid systems — having Qualcomm as an investor creates obvious incentives for deep hardware integration. Intel's Capital arm has a long history of betting on robotics platforms where its silicon could become the standard.
Brookfield Asset Management is the outlier — and the most interesting signal. Brookfield manages over $1 trillion in assets with significant holdings in industrial real estate, infrastructure, and renewable energy. Its presence in a humanoid robotics round suggests this is no longer purely a venture bet. Real assets infrastructure players are positioning for the physical footprint that robot-as-a-service deployments will require: warehouses, manufacturing facilities, logistics hubs. The money is beginning to connect the physical world to the robot economy.
Salesforce is the enterprise software play. If humanoid robots are to work in commercial environments — picking orders, moving inventory, assisting customers — they'll need workflow integration with the enterprise platforms those businesses already run. A Salesforce partnership implies exactly that kind of integration pathway.
Helix and the Hardware: Figure's Technical Case
The funding story sits on top of a genuine technical narrative. Figure's Helix AI system is designed to be a true generalist — a model that, rather than being pre-programmed for specific tasks, learns from observation and experience and can adapt to novel situations. The company describes it as enabling Figure 03 to "consider and perform tasks on its own, without following a script."
That's the hard problem of robotics, and Figure isn't the only one working on it. But the combination of a purpose-built hardware platform (Figure 03, with swappable legs, integrated wiring, and a 16-degree-of-freedom hand), a trained generalist AI model (Helix), and a real-world production deployment (BMW Spartanburg) creates a feedback loop that pure software companies or pure hardware companies cannot easily replicate.
The BMW partnership in particular deserves attention. BMW is not a company that deploys experimental equipment on active production lines without rigorous evaluation. The fact that Figure robots have been performing data collection and use-case training in a live automotive manufacturing environment — reportedly in a factory with over 10,000 employees — indicates Figure has cleared the reliability and safety bar that most humanoid startups have not yet approached.
The OpenAI Exit and What It Signals
One notable absence in the Series C investor list: OpenAI. The AI lab participated in Figure's Series B and announced plans to collaborate on next-generation AI models for humanoid robots. That partnership has since ended. OpenAI has shifted its robotics posture — pivoting toward internal robotics research and winding down projects like Sora to redirect compute. The departure is notable: it removes a key AI training partner, but Figure's Series C suggests it has found an alternative path to the compute and model development it needs — one that it controls rather than depends on a third party for.
The Competitive Landscape
Figure is raising this capital into a market that has gotten dramatically more crowded. Amazon's acquisition of Fauna Robotics signals that consumer humanoid deployment is a real near-term goal for at least one major platform company. Tesla continues its Optimus program, though production timelines have repeatedly slipped. 1X Technologies, Physical Intelligence, Apptronik, Agility Robotics, and Mind Robotics — which raised $500 million on a contrarian bet against the bipedal hype — all compete for industrial deployments. In Europe, BMW's Leipzig plant has gone live with Hexagon's AEON humanoid, bringing a European competitor into a market that Figure has largely defined.
What Figure's funding round does is create a structural advantage: with $1 billion in new capital on top of prior raises, Figure has the runway to outpace competitors on three of the most expensive dimensions of the humanoid race — manufacturing scale, compute infrastructure, and real-world data collection. The companies that fall behind on any one of these will find the gap hard to close.
The $39 Billion Question
Is $39 billion justified? The honest answer is: not yet, but the trajectory makes the argument. The global industrial robotics market is valued at roughly $24 billion today and is projected to grow past $100 billion by the early 2030s. A general-purpose humanoid robot platform that can operate in warehouses, factories, logistics hubs, and eventually homes represents a disruption to labor markets and supply chains that dwarfs those numbers. If Figure becomes the "Android" of humanoid robots — a platform others build on top of — the addressable market is not industrial robotics. It's the entire global labor economy.
That is a large if. The industrial humanoid reckoning is real: battery life, reliability at scale, dexterous manipulation in unstructured environments, and safety around humans all remain unsolved at production volumes. Figure's own BotQ manufacturing facility is only beginning to scale. The gap between compelling demo and reliable mass deployment has burned many robotics companies before.
But the investor base that just wrote $1 billion in checks — infrastructure funds, semiconductor giants, enterprise software leaders, and telecom majors — is not a group known for chasing demos. They are investing in a platform they believe will underpin physical computing at industrial scale. At $39 billion, they are saying this market is real, the timeline is near, and Figure is the bet they're making to win it.
The humanoid robot race is no longer a question of whether. The Series C just made it a question of when — and which company crosses the finish line first.
