Humanoid: where's the money now?

What are the main company categories in humanoid robotics?

Humanoid robotics is not one market.

The money is currently splitting between companies building complete robots, companies building the “brain” that lets robots generalize, companies manufacturing bodies at scale, and companies selling the pieces that make humanoids deployable.

Before we try to understand where the money is going, let’s understand what the categories are.

Category	What it means	Example companies
Full-stack industrial humanoid OEMs	Companies building complete humanoid robots for factories, warehouses, logistics and industrial work. They own hardware, software and deployment.	Figure AI, Apptronik, Agility Robotics, Neura Robotics, Boston Dynamics
China-scale humanoid OEMs	Chinese companies pushing lower-cost humanoid bodies, faster iteration cycles and higher unit volumes.	Unitree, AgiBot, UBTech, EngineAI, Fourier Intelligence
Robot foundation-model companies	Software-first companies building general-purpose robot brains, policies and physical AI models that can work across robot bodies.	Skild AI, Physical Intelligence, Nvidia Isaac GR00T, Google DeepMind Gemini Robotics
Automotive and factory deployment platforms	Automakers and industrial operators using factories as the first serious proving ground for humanoids.	BMW, Mercedes-Benz, Hyundai, Tesla, Toyota, Foxconn
Warehouse and logistics humanoids	Robots optimized for repetitive warehouse work such as tote movement, unloading, sorting and material handling.	Agility Robotics, Apptronik, Reflex Robotics, GXO partners, Amazon pilots
Dexterous hands and manipulation hardware	Companies building hands, grippers, tactile systems and end-effectors that let humanoids do useful work beyond walking.	Sharpa, Shadow Robot, Sanctuary AI, Tesla Optimus hand stack, open-source hand projects
Actuators, joints and motion components	Suppliers of joints, motors, reducers, sensors, batteries and power systems that determine cost, torque and reliability.	Schaeffler, Bosch, maxon, RobStride, Tihu, PhyArc
Training, simulation and robot-data infrastructure	Tooling for teleoperation, imitation learning, synthetic environments, robot data capture and fleet learning.	Nvidia Isaac/Cosmos/GR00T, Figure BotQ, Neura “gyms,” 1X world models
Home and service humanoids	Humanoids positioned for homes, hospitality, facilities, entertainment or general consumer assistance.	1X, Tesla Optimus, Fourier, EngineAI, UBTech
Healthcare and assisted-living humanoids	Robots aimed at rehabilitation, eldercare, mobility support, clinical assistance or care settings.	Fourier Intelligence, Neura Robotics, UBTech, Sanctuary AI

Is money flowing into full-stack industrial humanoid OEMs right now?

Yes, full-stack industrial humanoid OEMs are still one of the clearest money zones in humanoid robotics.

One thing though: the money is now chasing evidence, not just demos. The strongest rounds lately went to companies that could combine a full robot body, industrial use cases, strategic investors and some proof that robots can survive real work.

Figure is the loudest example. Its September 2025 Series C reportedly brought more than $1 billion at a $39 billion post-money valuation, which is extreme for a company founded in 2022. What makes that valuation especially interesting is the deployment context around it: Figure later disclosed that its Figure 02 robots at BMW Spartanburg had loaded more than 90,000 parts across 1,250+ runtime hours and contributed to 30,000+ BMW X3 vehicles. That does not make Figure fully proven yet, but it gives investors a rare industrial data point to underwrite.

The valuation jump also tells us something. Figure raised a $675 million Series B in February 2024 at around $2.6 billion, then moved to a reported $39 billion post-money valuation in 2025. That is roughly a 15x valuation jump in less than two years. In robotics, that kind of step-up usually requires investors to believe the company is not just selling robots, but building a data and deployment platform.

Apptronik shows the same category strength with a different flavor. In February 2026, the company announced a $520 million Series A extension, bringing its Series A to more than $935 million. The round is important because of who came in: repeat investors included Google, Mercedes-Benz, B Capital and PEAK6, while new investors included AT&T Ventures, John Deere and Qatar Investment Authority. That is not a random venture syndicate. It mixes AI infrastructure, automotive manufacturing, telecom, agriculture and sovereign capital, which suggests Apollo is being priced as a platform that could travel across industrial environments.

Neura gives the category a European proof point. In June 2026, the German company secured up to $1.4 billion at roughly a $7 billion valuation, with Amazon, Nvidia, Qualcomm, Bosch, Schaeffler and the European Investment Bank among the backers. The detail that matters is not just the headline size. Bosch and Schaeffler bring component and manufacturing leverage; Nvidia and Qualcomm bring compute; Amazon brings logistics relevance; the EIB brings public industrial-policy backing. That is a full-stack cap table, not just a funding round.

So, full-stack industrial humanoid OEMs are definitely where money is flowing today. But the category is already separating fast: companies with factories, pilots, strategic investors and deployment data are getting funded; companies with only impressive videos will look weaker every quarter.

If you want more recent data on this point, please see our latest humanoid robotics market report.

Is money flowing into China-scale humanoid OEMs right now?

Yes, China-scale humanoid OEMs are currently one of the most important money zones.

One interesting thing here: the signal is not only VC funding. In China, the money shows up through IPO paths, production targets, public-market readiness, procurement orders and volume economics.

Unitree is the strongest signal. In 2026, the company moved through the STAR Market IPO process while reportedly seeking about ¥4.2 billion, or roughly $610 million. Its prospectus-related coverage points to 2025 revenue of about ¥1.71 billion, up 335%, and adjusted net profit around ¥600 million. That last part is critical: humanoid robotics is usually discussed as a cash-burning frontier category, but Unitree is being presented as a profitable, high-growth robotics manufacturer.

The shipment signal is also unusually concrete. Unitree reportedly sold more than 5,500 humanoid robots in 2025 and the company’s CEO has discussed shipping up to 20,000 humanoids in 2026. Even if many units go to research, education, labs or government-backed settings, those volumes matter. They create supplier pressure, reduce component costs and generate a much larger user base than Western industrial pilots.

AgiBot adds a second China-scale data point. Recent 2026 coverage reported that AgiBot reached 10,000 cumulative humanoid units and shipped more than 5,000 units in 2025. Again, the deeper signal is not “robots are everywhere now.” It is that Chinese companies are building the volume base that lets them iterate faster on bodies, joints, batteries, hands and price points.

UBTech adds an order-book signal rather than a pure shipment signal. In late 2025, the company said its Walker series had accumulated more than 800 million yuan in orders, including a 159 million-yuan data-center contract, and that Walker S2 had begun mass production and delivery. This is a useful proof point because it shows Chinese humanoid demand coming through procurement and scenario-based deployment, not just investor presentations.

So it looks like China is not only producing viral robot videos but it is also building the first large-volume humanoid supply base. The big unresolved question is how much of that volume converts into productive labor, but for capital formation, China-scale OEMs are clearly one of the hottest categories right now.

Is money flowing into robot foundation models right now?

Yes, robot foundation models may be the hottest non-obvious money zone in humanoid robotics today.

Investors are not only funding the robot body. When you look at it, you can see that they are increasingly funding the model layer that could control many different bodies.

Skild AI is the clearest signal. In January 2026, the company announced close to $1.4 billion in Series C funding led by SoftBank at a valuation above $14 billion. The important detail is the positioning: Skild calls its platform “omni-bodied,” meaning the ambition is not to build one humanoid, but to build intelligence that can transfer across robots, tasks and data sources.

The valuation trajectory is impressive. Crunchbase reported that Skild’s valuation more than tripled to above $14 billion. That is an AI-style repricing applied to robotics. Investors are effectively saying that if the control model generalizes, the software layer could capture more value than the metal body.

Physical Intelligence strengthens the same thesis. The company raised $400 million in 2024 at a reported $2.8 billion valuation, then 2026 reports said it was discussing roughly $1 billion at a valuation above $11 billion. If those terms hold, that would be close to a 4x valuation jump in roughly 16 months. For a robotics company, that speed is abnormal; for an AI foundation-model company, it looks more familiar.

The broader market is moving the same way. PitchBook-cited coverage said more than $2.2 billion went into robot foundation-model startups in 2025, with Physical Intelligence, Genesis AI, Mind Robotics and others attracting capital. Nvidia’s Isaac GR00T work points in the same direction: the industry is beginning to organize around reusable robot intelligence, simulation, data pipelines and reference hardware.

At the end of the day, robot foundation models are where investors are making the most leveraged bet. A full humanoid OEM has to manufacture, support and deploy robots one fleet at a time; a strong robot model could theoretically sit across many bodies, customers and workflows. That is probably why the valuations look so aggressive.

If you want more recent data on this point, please see our latest humanoid robotics market report.

Is money flowing into automotive and factory deployment platforms right now?

Yes, money is flowing into automotive and factory deployment platforms. One nuance though: a lot of it is hidden inside strategic relationships rather than classic startup rounds.

The best signals here are factory pilots, repeat corporate investors, industrial offtake agreements and internal production commitments.

BMW is the most useful case because it has become a real test bed, not just a press-release customer. Figure’s BMW Spartanburg deployment produced the strongest Western production metrics so far: more than 90,000 parts loaded, 1,250+ runtime hours and 30,000+ vehicles touched. In 2026, BMW also started or planned humanoid work in Leipzig with Hexagon’s AEON robot for battery and component manufacturing. That combination tells us BMW is not treating humanoids as a one-vendor curiosity.

Mercedes-Benz is another important signal because it appears both as a customer/partner and investor. Mercedes returned as a repeat investor in Apptronik’s 2026 Series A extension. A carmaker investing again is stronger than a pilot announcement because it suggests Mercedes wants economic exposure to the supplier’s roadmap.

Schaeffler gives us a third industrial signal. In November 2025, Schaeffler and Neura announced a partnership involving key humanoid components, robot offtake and integration into Schaeffler’s global production network. That matters because factory operators are not only testing robots; some are beginning to structure data, component and deployment partnerships around them.

Hyundai and Boston Dynamics add the corporate-balance-sheet angle. Boston Dynamics said Hyundai planned to purchase tens of thousands of robots and deepen collaboration around mobility and manufacturing innovation. This kind of spending will not always appear as venture funding, but it can be just as important because it gives humanoid companies access to factories, production know-how and internal demand.

Finally, automotive factories are currently where humanoid robotics looks most financially legible. The tasks are repetitive, the labor pain is measurable, and the buyer can compare a robot against line downtime, worker shortages and ergonomics.

So we can conclude that factory deployment is less a separate category than a filter: if a humanoid company cannot find industrial work here, its funding story becomes much harder.

Is money flowing into warehouse and logistics humanoids right now?

Yes, warehouse and logistics humanoids are attracting money now because the use case is specific enough to measure.

This category is being funded when robots can move totes, unload carts, sort items or handle repetitive material flows.

Agility Robotics is the anchor. In November 2025, the company said Digit had moved more than 100,000 totes in a live GXO commercial deployment. That is one of the few humanoid metrics that feels like an operating KPI rather than a lab benchmark. A warehouse buyer does not need a philosophical argument about general intelligence. Instead, it needs throughput, uptime and predictable task completion.

The funding supports that interpretation. Agility reportedly raised a $400 million Series C in 2025 at about a $2.1 billion valuation, with total funding around $641 million. Compared with Figure’s $39 billion valuation or Skild’s $14 billion-plus valuation, Agility looks more modest. But that may actually make the signal cleaner: investors are funding a narrower robot with a clearer first workflow.

GXO’s behavior is also useful because it has tested more than one humanoid vendor, including Agility, Apptronik and Reflex Robotics. That suggests the buyer-side demand is not tied to one startup’s marketing. Large logistics operators are actively scanning for humanoids that can fit into existing facilities without rebuilding the whole warehouse around automation.

Amazon is another indirect signal. Its earlier work with Digit and its broader robotics operations create a benchmark for how humanoids might enter warehouses: not as replacements for all automation, but as flexible labor in zones where fixed automation is too expensive or too rigid.

All things considered, logistics looks like one of the most credible early revenue pools. The money is not as spectacular as in foundation models, but the proof is more grounded because the task can be counted.

If you want more recent data on this point, please see our latest humanoid robotics market report.

Is money flowing into dexterous hands and manipulation hardware right now?

Some money and strategic attention are flowing into dexterous hands and manipulation hardware, but this is still an emerging picks-and-shovels category rather than a standalone funding boom.

The reason this category matters is simple: walking makes humanoids impressive, but manipulation makes them economically useful.

The most recent strategic signal came from Nvidia’s Isaac GR00T reference humanoid announcement in May 2026. Nvidia combined a Unitree H2 Plus body, Sharpa five-fingered hands, Jetson Thor compute and Isaac GR00T models into an open reference design. That is a strong validation of the hand layer because Nvidia did not present dexterity as a nice add-on; it made hands part of the standard reference architecture.

The research signal is also moving quickly. A 2026 Ruka-v2 paper introduced an open-source humanoid hand with wrist mobility and finger abduction, showing a 51.3% reduction in completion time and a 21.2% increase in success rate versus the earlier Ruka hand in user studies. A separate UniDex paper presented a 50,000-trajectory dataset across eight dexterous hands and a unified control approach for cross-hand transfer. Those are not commercial financings, but they show where the technical bottleneck is moving: from “can the robot stand?” to “can the robot use hands across objects, tools and tasks?”

The non-obvious point is that dexterous hands may benefit from humanoid fragmentation. If there are many robot bodies, a strong hand supplier or hand-control layer can sell into multiple OEMs. That is a better position than being trapped inside one full-stack robot company.

So for now, dexterous manipulation looks like a category where technical value is rising faster than standalone funding visibility.

Is money flowing into actuators, joints and motion components right now?

Yes, money is flowing into actuators, joints and motion components.

However, it shows up through strategic positioning, supplier partnerships and manufacturing agreements more than flashy startup rounds. This is the layer where humanoid robotics becomes an industrial supply-chain problem.

Schaeffler is the clearest example. In late 2025, it announced a partnership with Neura to jointly develop and supply key components for humanoids, including an offtake agreement and integration into Schaeffler’s production network. A few months later, Neura’s June 2026 fundraise included Schaeffler and Bosch among investors. That sequence matters: first strategic partnership, then capital participation. It suggests component suppliers are not just watching the market but also trying to secure positions inside future robot bills of materials.

Bosch is also moving from components into manufacturing leverage. In May 2026, the UK-based Humanoid announced that Bosch would manufacture its HMND 01 robots for the European market while Schaeffler would supply components. This is a very different model from Figure’s vertical integration. It suggests another path may emerge: humanoid brands using mature industrial suppliers to compress manufacturing risk.

China’s volume makes this category even more important. If Unitree, AgiBot and UBTech are pushing thousands of units now, the demand for joints, motors, reducers, batteries and sensors becomes much less theoretical. Component suppliers benefit from the volume race even if the winning robot brand changes.

Finally, this is where the economics get brutal. A humanoid can have strong AI, but if actuators are too expensive, too hot, too noisy or too fragile, the robot will not scale. So it looks like the component layer is one of the best “quiet money” areas in humanoids: less visible to general readers, but central to whether the category ever reaches mass deployment.

Is money flowing into training, simulation and robot-data infrastructure right now?

Yes, training, simulation and robot-data infrastructure are currently among the most important hidden money zones in humanoid robotics.

The market is learning that manufacturing more bodies is not enough; the scarce asset is reusable physical-world learning.

Figure’s BMW work is useful here beyond the obvious deployment story. As seen above, the company disclosed more than 1,250 runtime hours at BMW, but the deeper signal is that real factory work creates training data. Every failed grasp, awkward recovery and successful repetition can feed the next model update. That makes deployment sites data factories, not just customer logos.

Neura is explicitly building around this idea. Its June 2026 funding is meant to support the Neuraverse platform, digital training environments and robot “gyms” where humans in motion-capture suits teach robots tasks. That is a very specific signal: investors are funding the learning loop around the robot, not only the robot’s body.

Nvidia is making the same bet from the infrastructure side. Isaac GR00T, Cosmos, Jetson Thor and reference humanoid designs create a stack for simulation, model training, deployment and hardware standardization. Nvidia’s role is especially powerful because it can monetize the whole category whether the winning robot body comes from Unitree, Figure, Neura, Tesla or someone else.

1X adds a different version of the same pattern. The company has emphasized world models and video-based learning for NEO, which matters because teleoperation does not scale cleanly if every new task requires too much human control. Even if the home-robot thesis is early, the training-infrastructure thesis is immediate.

So the money here is not always visible as a “simulation startup round,” but it is absolutely present.

If you want more recent data on this point, please see our latest humanoid robotics market report.

Is money flowing into home and service humanoids right now?

Some money is flowing into home and service humanoids, but this category is much less proven than industrial humanoids.

The home story is attractive because the market could be enormous, yet the current evidence is still closer to preorder, partnership and investor belief than scaled consumer usage.

1X is the main signal. In 2025, reports said the OpenAI- and EQT-backed company was seeking up to $1 billion at a $10 billion valuation to bring NEO into homes. That is a large number for a consumer-facing humanoid thesis, especially when the product category has not yet shown mass-market retention, safety or autonomy.

The most interesting 1X signal, though, is that its big deployment channel is not really the home. In late 2025, 1X announced a partnership to make up to 10,000 NEO robots available to EQT’s portfolio companies between 2026 and 2030, with a focus on manufacturing, warehousing, logistics and industrial use cases. That tells us where the near-term money is pulling the company: even a “home” robot may need industrial and commercial environments first.

The pricing signal is also worth watching. 1X has discussed a roughly $20,000 purchase price or a $500/month subscription. Those numbers are ambitious because they place the robot somewhere between premium appliance, car-like purchase and labor-substitution subscription. The missing proof is whether autonomy can become good enough to justify that cost without constant human supervision.

Tesla adds attention to the category, but not much third-party customer evidence yet. Optimus may become massive if Tesla can use its manufacturing base and internal factories, but today the external commercial proof is thinner than what we see in BMW/Figure, GXO/Agility or China’s volume players.

At the end of the day, home and service humanoids are fundable because the upside is huge. But the most credible money currently treats home as the long-term prize and commercial deployment as the bridge.

Is money flowing into healthcare and assisted-living humanoids right now?

Not strongly yet. Healthcare and assisted-living humanoids have a clear long-term need, but the capital signals are much weaker than in industrial humanoids, robot foundation models or China-scale manufacturing.

Fourier Intelligence is the best example because it has healthcare and rehabilitation roots rather than a generic “robot for everything” positioning. Recent tracker data puts Fourier at more than $200 million raised, an $800 million-plus reported valuation and 500+ units shipped in 2025. Chinese market coverage also reported a nearly 800 million-yuan Series E financing in early 2025, with investors including Guoxin Investment, Pudong Venture Capital and Prosperity7 Ventures. That is meaningful, but it is still not in the same league as Figure, Skild, Neura or Apptronik.

There is also a small but interesting clinical-research signal. A 2026 paper described a teleoperated Unitree G1 assisting in an endoscopic surgery context by providing visualization during a cadaveric procedure. The study explicitly framed this as proof of form-factor feasibility, not autonomy. That distinction matters: healthcare humanoids can show intriguing demonstrations, but the path to regulated clinical deployment is much longer.

Neura sometimes shows up in healthcare discussions as well, and its order backlog reportedly exceeds $1 billion across sectors. But its recent financing is better understood as physical AI and industrial robotics capital, not a healthcare-specific boom.

So healthcare humanoids look like a future category rather than a current money center.

So, where is the money in humanoid robotics now?

The money in humanoid robotics is currently concentrated in three places: robot foundation models, full-stack industrial humanoid OEMs and China-scale humanoid manufacturers.

Those categories have the strongest combination of valuation jumps, mega-rounds, strategic investors, production data and deployment proof.

The next tier is not weak. It is simply less headline-driven. Factory deployment platforms, logistics humanoids, training infrastructure and component suppliers are all becoming increasingly important because they decide whether the market turns into real revenue.

Home and healthcare remain exciting, but the evidence today is thinner.

Rank	Category	Signals proving the money is here
1	Robot foundation models	Skild raised close to $1.4B at $14B+; Physical Intelligence reportedly discussed a $1B raise at $11B+; PitchBook-cited coverage says robot foundation-model startups drew $2.2B+ in 2025.
2	Full-stack industrial humanoid OEMs	Figure moved from a $2.6B Series B valuation to a reported $39B post-money valuation; Apptronik reached $935M+ in Series A funding; Neura secured up to $1.4B at roughly $7B.
3	China-scale humanoid OEMs	Unitree reported 335% revenue growth and 5,500+ humanoid sales in 2025; AgiBot reportedly reached 10,000 cumulative units; UBTech disclosed 800M+ yuan in Walker orders.
4	Automotive and factory deployment platforms	BMW, Mercedes, Schaeffler, Bosch and Hyundai are moving through pilots, repeat investments, offtake agreements, manufacturing partnerships and internal robot purchasing plans.
5	Training, simulation and robot-data infrastructure	Neura is funding robot “gyms”; Nvidia is building the GR00T/Cosmos/Jetson stack; Figure and 1X are turning deployment and video data into learning loops.
6	Warehouse and logistics humanoids	Agility’s Digit moved 100,000+ totes at GXO; Agility reached a reported $2.1B valuation; GXO is testing multiple humanoid vendors rather than betting on one.
7	Actuators, joints and motion components	Schaeffler and Bosch are entering partnerships, investments and manufacturing roles; China’s volume race increases demand for joints, motors, reducers and batteries.
8	Dexterous hands and manipulation hardware	Nvidia made Sharpa hands part of its reference humanoid; 2026 research shows faster task completion and cross-hand data transfer; commercial funding is still early.
9	Home and service humanoids	1X reportedly sought $1B at a $10B valuation and signed a 10,000-robot EQT channel, but the near-term deployment path still points more to commercial sites than homes.
10	Healthcare and assisted-living humanoids	Fourier has healthcare roots and meaningful funding, and early surgical-assistance research is emerging, but capital is not yet concentrated here.

If you want more recent data on this point, please see our latest humanoid robotics market report.

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