In September 2025, Figure AI closed a Series C financing round that brought in more than one billion dollars. The company, founded in 2022, now carries a valuation of approximately $39 billion, making it the most highly valued humanoid robotics enterprise in the world at the time of the announcement. The investor group for this round included NVIDIA, Intel Capital, and Qualcomm Ventures, among others.
The capital is earmarked for three primary purposes. First, Figure AI intends to expand its robot production capacity. Second, the company will build out its computing infrastructure using NVIDIA GPUs, which are meant to accelerate both training and simulation work for its AI systems. Third, the funding will support expanded data collection efforts, capturing information from humans as they work and live in real-world environments.
The company's stated goal is to manufacture shippable robots — the physical hardware — while simultaneously developing the AI engine that will make those robots intelligent. The training data collected from human environments will feed that engine, creating a feedback loop between real-world observation and machine learning.
Figure AI's path to this point has not been without strategic pivots. The company terminated its partnership with OpenAI in 2025 and shifted to independent development of its end-to-end AI model, which it calls Helix. This full-stack approach means Figure AI is building both the hardware and the software in-house, rather than relying on external partners for either component.
The company's CEO, Brett Adcock, framed the funding round as a critical milestone for the broader humanoid robotics sector. In a statement, he said the investment would support scaling the Helix AI platform and the company's BotQ manufacturing operations. He also noted that support from new partners, combined with continued backing from existing investors, reflects both Figure's position as a market leader and a shared belief in a future where humanoid robots become a natural part of daily life.
The broader context for this funding round is a sector that is accelerating toward mass production. Tesla's Optimus robot and NVIDIA's AI infrastructure partnerships are leading the charge. Tesla, for its part, has said it plans to invest $25 billion in robotics, chips, and AI in 2026 — triple its 2025 spending and $5 billion more than its initial projection. The company has already stopped producing its Model S sedan and Model X crossover to free up factory space, converting its Fremont facility into an Optimus robot plant.
NVIDIA, meanwhile, announced Halos for robotics in June 2026 — what it describes as the industry's first full-stack safety system for physical AI. This system combines software, embedded systems, sensors, and silicon with industrial applications, creating a robotics safety ecosystem designed for scaled deployment of humanoid robots in factories, warehouses, and logistics operations. NVIDIA also partnered with LG Group in June 2026 on humanoid robots and data centers, working on motor technology and mechanical systems.
The investment landscape in humanoid robotics is not limited to Figure AI. NEURA Robotics, founded in 2019, is the largest humanoid robotics company in Europe by funding scale. In June 2026, it completed a Series C funding round of up to $1.4 billion, led by Tether, with participation from Amazon, NVIDIA, Qualcomm, Bosch, Schaeffler, and others. The company reached a post-money valuation of approximately $7 billion and holds one billion euros in backlog orders. Its flagship product, the 4NE-1, is priced at around 98,000 euros, with mass shipments expected to begin by the end of 2026.
Why it matters for European robot service
For European operators, integrators, and service providers, the Figure AI funding round signals several developments worth tracking.
The first is the sheer scale of capital entering the humanoid robotics sector. When a single company can raise over $1 billion in one round, and when a European competitor like NEURA Robotics can raise up to $1.4 billion, it changes the competitive dynamics of the entire industry. These are not incremental investments; they represent a conviction that humanoid robots will move from research prototypes to commercially deployed systems within a relatively short timeframe.
The second development is the vertical integration trend. Figure AI's decision to terminate its partnership with OpenAI and develop its own AI model, Helix, in-house is significant. It suggests that the company believes the tight coupling of hardware and software is essential for humanoid robots to function effectively in real-world environments. For European service providers, this means that the robots they may eventually service, maintain, or integrate will likely be closed systems — designed and controlled by a single manufacturer. This has implications for third-party maintenance, repair, and customization work.
The third development is the emphasis on data collection. Figure AI's funding will support expanded data collection of humans working and living. This is not a trivial detail. Humanoid robots, to be useful, need to understand human environments — how doors open, how tools are used, how spaces are organized. That understanding comes from data. The company's strategy is to capture that data systematically, feeding it into its AI engine to make its robots more capable over time. For European buyers, this means that the robots they purchase will likely improve over time through software updates, rather than remaining static pieces of hardware.
The fourth development is the infrastructure build-out. Figure AI's investment in NVIDIA GPUs is about accelerating training and simulation. Training an AI model for humanoid robotics requires enormous computational resources. Simulation allows the company to test scenarios virtually before deploying them in physical robots. This infrastructure investment is not just about making the robots smarter; it is about making the development cycle faster. For the market, this could mean shorter intervals between product generations and more rapid feature improvements.
The fifth development is the competitive pressure on European players. NEURA Robotics' funding round, which closed in June 2026, demonstrates that European companies can attract significant capital. However, the valuation gap between Figure AI ($39 billion) and NEURA Robotics ($7 billion) is substantial. This gap reflects different stages of development, different market positions, and different investor expectations. European service providers should monitor whether this valuation gap narrows or widens over time, as it will influence which companies can afford to scale production, invest in AI infrastructure, and bring products to market.
The sixth development is the supply chain question. The source material notes that challenges in the humanoid robotics sector include high per-unit costs and supply chain execution risks. These are not abstract concerns. For European operators considering humanoid robot deployments, the cost per unit will be a decisive factor. NEURA Robotics' 4NE-1, priced at around 98,000 euros, gives some indication of the price range for commercially available humanoid robots. Whether Figure AI's robots will be priced competitively in the European market is not disclosed in the source material.
What buyers and operators should know
For buyers and operators evaluating humanoid robots for their operations, several points from the source material are relevant.
First, the funding environment matters for product availability. Companies with substantial capital are better positioned to scale production, which affects lead times and availability. Figure AI's stated goal of manufacturing shippable robots suggests that the company is moving from development to production. However, the source material does not specify production volumes, delivery timelines, or pricing for Figure AI's products. Buyers should not assume that funding automatically translates into immediate product availability.
Second, the AI platform is a differentiator. Figure AI's Helix model is an end-to-end AI system developed in-house. This is different from approaches that rely on third-party AI models. For buyers, the question is whether the AI platform can handle the specific tasks required in their operations. The source material indicates that Figure AI is collecting data from humans working and living, which suggests the AI is being trained on general human activities rather than narrowly defined industrial tasks. Whether this generalist approach will outperform specialist systems in specific applications is not yet clear.
Third, the NVIDIA infrastructure connection matters. Figure AI is building out its NVIDIA GPU infrastructure to accelerate training and simulation. NVIDIA's broader role in the robotics sector is also notable. The company's CEO, Jensen Huang, believes robotics represents NVIDIA's second-biggest growth opportunity after AI. He has stated that "every industrial company will become a robotics company." NVIDIA is working with several humanoid robot makers across the U.S., Europe, and Asia, with its Blackwell chips serving as the computing brains of these devices. For buyers, this means that the computing hardware inside humanoid robots is likely to be standardized around NVIDIA platforms, which could simplify integration and software development.
Fourth, the safety ecosystem is emerging. NVIDIA's Halos system, announced in June 2026, is described as the industry's first full-stack safety system for physical AI. This is relevant for European operators because safety certification and compliance are critical considerations for deploying robots in workplaces. The source material does not specify whether Halos meets specific European safety standards or certification requirements. Buyers should verify compliance with relevant regulations before deployment.
Fifth, the competitive landscape is diverse. The source material identifies several categories of investment opportunities: hardware leaders like Tesla and NVIDIA, niche specialists such as Symbotic and Intuitive Surgical, and private innovators like Figure AI and Physical Intelligence. For buyers, this diversity means that humanoid robots are not the only option. Niche specialists may offer more targeted solutions for specific tasks, potentially at lower cost and with faster deployment timelines.
Sixth, the cost challenge remains. The source material explicitly notes that high per-unit costs and supply chain execution risks are challenges facing the sector. NEURA Robotics' 4NE-1 is priced at around 98,000 euros, which gives some indication of the price point for commercially available humanoid robots. However, total cost of ownership — including maintenance, software updates, training, and integration — is not disclosed in the source material. Buyers should model these costs carefully before making procurement decisions.
Seventh, the timeline for mass production is uncertain. The source material indicates that NEURA Robotics expects mass shipments of its 4NE-1 to begin by the end of 2026. Tesla is converting its Fremont factory into an Optimus robot plant. Figure AI's production plans are not specified in the source material. The overall sector is described as "accelerating toward mass production," but the pace of acceleration varies by company.
Eighth, the strategic direction of major players matters. Tesla's pivot toward becoming a leading AI and robotics company, with $25 billion planned for robotics, chips, and AI in 2026, signals a major commitment. NVIDIA's partnerships with humanoid robot makers across multiple regions indicate a platform strategy. These strategic directions will shape the market for years to come, influencing everything from component availability to software standards.
Ninth, the data collection approach has implications. Figure AI's funding will support expanded data collection of humans working and living. This raises questions about privacy, consent, and data governance that European buyers should consider carefully. The source material does not address these issues, and buyers should seek clarity from manufacturers on how data is collected, stored, and used.
Tenth, the market is still early. Despite the significant funding rounds and ambitious production plans, the humanoid robotics sector is still in its formative stages. The source material notes that commercialization momentum is strong, but challenges remain. Buyers should approach procurement decisions with a clear understanding of the risks and uncertainties involved.
Sources
https://www.forbes.com/sites/johnkoetsier/2025/09/16/humanoid-robotics-company-raises-1-billion-for-nvidia-chips-ai-data-collection-production/
Published by Vigla Media OÜ (Estonia).