Which company is furthest along deploying humanoid robots on factory floors?

If by **“furthest along” you mean actually putting humanoids into recurring, productive factory work—not demos or pilot announcements—my pick today is Figure AI, with Agility Robotics a very close competitor.

My ranking as of August 2026

1. Figure AI — strongest factory-floor evidence

• Figure’s Figure 02 has reportedly operated on BMW’s assembly line every working day, accumulating 1,250+ hours and handling 90,000+ parts.
• That is unusually strong evidence of sustained manufacturing use rather than a one-off demonstration.
• Figure is therefore probably the best answer if you specifically mean humanoids doing production work inside an automotive factory.

2. Agility Robotics — strongest commercial deployment overall

• Agility's Digit has had a multi-year commercial deployment with GXO since 2024 and has passed 100,000 totes moved.
• It also has deployments/relationships involving Amazon, Toyota and Schaeffler.
• The caveat: much of Digit's most mature work is warehouse/logistics, rather than directly on an assembly line.

3. Chinese manufacturers — furthest ahead in sheer volume

• China is now dramatically ahead in units shipped, with companies such as Unitree, AGIBOT and UBTECH producing thousands of humanoids.
• But a significant fraction of that installed base is being used for demonstrations, training/data collection, education or government-backed programs rather than economically productive factory work. Reuters specifically notes that the industry is now struggling to demonstrate commercial ROI.

4. Tesla — potentially the biggest future deployment, but not there yet

• Optimus gets enormous attention because Tesla ultimately intends to deploy it throughout its own factories, but as of now its publicly demonstrated production use lags Figure and Agility.

The important distinction

I'd frame the race this way:

So if you're asking “Which company should I watch if I want to know who is actually closest to making humanoids a normal part of manufacturing?”, I'd put Figure AI #1, Agility #2, and Tesla as the wild card.

One caveat: the industry is moving extremely quickly, and Chinese companies are scaling hardware much faster than the U.S. companies. The current evidence suggests China leads in volume, while Figure/Agility have some of the strongest evidence of economically useful deployments.

Determining which company is furthest along depends on how you measure "deployment"—specifically whether you look at internal volume, third-party commercial integrations , or overall unit shipments.

The race is led by a few distinct front-runners:

1. Most Internal Factory Units: Tesla

If the metric is the sheer number of humanoid robots actively working on a real factory floor, Tesla is the leader.

• The Footprint : Tesla has deployed over 1,000 of its own Optimus robots internally across its Fremont and Gigafactory Texas plants.
• The Tasks : They are integrated into actual production lines, handling tasks like kitting and moving battery components.
• The Catch : These are strictly internal deployments; Tesla has not yet opened Optimus for third-party commercial sales.

2. Most Commercial Third-Party Hours: Figure AI

If the metric is deploying humanoid robots into another company's factory for paid commercial work, Figure AI is arguably the furthest along in manufacturing.

• The Footprint : Figure completed a highly publicized, intensive pilot at the BMW Spartanburg assembly plant.
• The Tasks : Their robots logged over 1,250 operational hours building cars, autonomously loading sheet metal parts into fixtures.
• The Model : BMW was billed on a "robot-hour" commercial basis, proving out the economic model of physical AI in automotive assembly.

3. First to Commercial Logistics Deployment: Agility Robotics

If you extend the "factory floor" to include manufacturing logistics and fulfillment warehouses, Agility Robotics holds the title of first to achieve true commercial traction.

• The Footprint : Its Digit robot is widely recognized as the first humanoid to enter a multi-year, paid commercial contract.
• The Tasks : Digit has moved over 100,000 totes in active logistics facilities for major customers like Amazon, GXO Logistics, and Toyota.
• Scale : Agility has built a dedicated mass-production facility ("RoboFab" in Oregon) to scale these deployments.

4. Mass Production & Volume Shipments: AGIBOT

In terms of rapid factory rollout by volume, Chinese robotics companies—most notably AGIBOT —are moving at an unprecedented pace.

• The Footprint : Backed by battery giant CATL, Shanghai-based AGIBOT has shipped over 15,000 industrial-grade humanoid units.
• The Tasks : Their wheeled industrial humanoid, the Genie G2, is actively running continuous 100-hour quality inspection tests on digital tablets on live Chinese mass-production lines.

Comparison of Top Factory Deployments

If you are evaluating this from a commercial automotive/manufacturing perspective, Figure AI and Tesla are your benchmarks. If you are looking at logistics and material handling, Agility Robotics remains the most field-proven vendor.

Are you looking at these companies from an investment perspective, or are you exploring how to integrate physical AI into your own production facility?

As of August 2026, I’d put Agility Robotics furthest along overall in commercially deploying humanoids into real factory/logistics operations, with Figure AI arguably furthest along specifically in automotive assembly.

My ranking

The important distinction is “deployment” versus “demo.” Figure's BMW work is unusually compelling because it wasn't a staged demonstration: Figure 02 worked regular 10-hour shifts on an active production line and handled tens of thousands of parts. BMW says its newer Figure 03 project is now tackling sequencing/logistics rather than simple pick-and-place.

On the other hand, Agility has the stronger claim to being furthest along commercially: Digit was the first humanoid to enter a formal commercial deployment, at GXO in 2024, and Agility now has multiple industrial customers and commercial contracts.

Bottom line

If you're asking “Who is closest to having a real humanoid-robot business operating at scale on factory floors?” → Agility Robotics.

If you're asking “Who has demonstrated the most sophisticated humanoid work on an actual automotive production line?” → Figure AI.

And I'd not put Tesla first today, despite its potentially massive long-term manufacturing advantage. Its future scale could be extraordinary, but its publicly demonstrated deployment maturity currently lags those two.

If you're evaluating this from an investment/industry perspective, the more interesting question is probably which of Agility, Figure and Apptronik has the best path from dozens of robots to tens of thousands.

Determining which company is "furthest along" deploying humanoid robots on factory floors depends on whether you measure by internal manufacturing integration, commercial external logistics/factory pilots , or total volume shipped.

Real-world factory implementation breaks down across the leading players as follows:

• Figure AI is the frontrunner for outward, public-facing automotive manufacturing integration. Following a successful multi-month trial with its Figure 02 robot at the BMW Group Plant Spartanburg in South Carolina—where the robot logged over 1,250 operational hours and assisted in production—BMW deployed the next-generation Figure 03 on the factory floor for complex parts sequencing and logistics.
• Agility Robotics is widely viewed as furthest along in commercial logistics deployment with its bipedal robot, Digit. While more specialized for warehouse and tote-moving workflows rather than traditional tightly-constrained vehicle assembly lines, Agility has scaled real shifts with paying enterprise customers like GXO Logistics and Amazon.
• Tesla leads in terms of ambition and internal scale , utilizing over a thousand Optimus units across its own Fremont and Texas manufacturing plants. However, leadership has noted that they are primarily deployed for internal learning, data collection, and light kitting/battery part handling rather than full-scale material labor replacement across external production lines.
• Chinese Manufacturers (such as Unitree and AgiBot) lead heavily in total shipment volume and mass production scale (accounting for a vast majority of global hardware shipments), deploying thousands of units into localized logistics and factory inspection roles, though widespread commercial assembly-line integration remains in active pilot phases.
• Apptronik and Sanctuary AI are also notably active, running targeted manufacturing and material-handling pilots with companies like Mercedes-Benz and Magna, though they trail the continuous operational milestone data set by Figure at BMW.

Would you like to focus on automotive assembly applications (like BMW/Figure and Tesla) or look deeper into logistics and warehouse automation (like Agility Robotics)?

When determining which company is furthest along in deploying humanoid robots on actual factory floors (moving past staged demo videos into measurable, real-world shift work), the answer depends slightly on whether you look at logistics/warehouse integration or automotive manufacturing assembly , and whether you measure by total volume shipped or verified runtime hours in production.

The frontrunners leading the deployment race break down as follows:

• Figure AI leads the active automotive assembly line sector in the West. Figure’s robots (such as the Figure 02 and newer iterations) completed extensive, multi-month runs at BMW Spartanburg , logging over 1,250 real-world production hours handling sheet metal and moving parts on live shifts.
• Agility Robotics is furthest along in commercial warehouse and supply-chain logistics with its bipedal humanoid, Digit. Digit has accumulated tens of thousands of operational hours across live facilities for companies like GXO Logistics and Toyota Motor Manufacturing Canada, passing major milestones like moving over 100,000 production totes. Agility is also scaling high-volume manufacturing at its Oregon "RoboFab" facility.
• AgiBot and Unitree Robotics (China) lead global volume and sheer shipment numbers, accounting for the vast majority of total humanoid deployments globally. AgiBot has surpassed 10,000 cumulative deliveries with units actively moving into electronics and appliance manufacturing lines (such as Longcheer), while Unitree provides low-cost, commercially available hardware widely tested in domestic industrial spaces.
• Boston Dynamics (owned by Hyundai) holds the largest enterprise deployment commitment on record. Hyundai announced a roadmap to scale thousands of its next-generation electric Atlas humanoids across its global manufacturing network, specifically targeting the Metaplant in Georgia, though their scaled active floor deployment timeline extends deeper into the 2026–2028 window.
• Tesla has heavily featured internal testing of its Optimus units across its Fremont and Texas facilities, but external deployment data and commercial third-party availability remain behind companies like Figure and Agility that have validated external, paid production shifts.
• Apptronik with its Apollo robot is closely tracking the automotive tier-one deployment tier via active ongoing industrial pilots inside Mercedes-Benz and Jabil facilities.

If you are evaluating a deployment for a specific use case, tell me:

• Are you looking at automotive assembly, electronics manufacturing , or warehouse logistics?
• Do you prefer metrics focused on hardware availability or proven software autonomy?

I can provide a deeper breakdown of which platform fits your operational constraints.

As of August 2026, I’d give the edge to Agility Robotics, if by “furthest along” you mean actual sustained commercial deployment of humanoids doing useful work, rather than demonstrations or pilot programs.

My ranking

1. Agility Robotics — Digit: furthest along commercially

• Digit entered a live commercial operation at a GXO logistics facility in 2024, the first formal commercial humanoid deployment of its kind.
• By July 2026, Agility said Digit had accumulated 65,000+ operational hours across manufacturing, distribution and logistics.
• Its current work is still relatively narrow—primarily moving bins/materials—but that's arguably a virtue: it's a real production workflow rather than a showcase.

2. Figure AI — arguably the leader specifically on automotive factory work

• Figure 02 spent about 10 months working on BMW's active production line, running 10-hour shifts, moving 90,000+ components and contributing to production of 30,000+ BMW X3s.
• Figure 03 is now back at BMW Spartanburg, tackling a substantially more sophisticated sequencing/logistics task.
• So if your definition is “who has demonstrated the most sophisticated humanoid work directly on an automotive factory floor?”, I'd actually put Figure first.

3. Apptronik — Apollo: very strong industrial trajectory, but earlier in deployment

• Apptronik has major partnerships with Mercedes-Benz and John Deere and raised more than $935M in its Series A financing to scale Apollo production/deployment.
• But compared with Agility and Figure, there's less publicly documented evidence of Apollo already doing sustained production work at scale.

The important distinction

So my short answer is: Agility Robotics is furthest along overall, but Figure AI is the company I'd watch most closely if your question is specifically about humanoids becoming factory-floor workers.

One particularly significant signal is that BMW isn't treating the Figure deployment as a one-off experiment: after the Figure 02 pilot, it brought in Figure 03 for a more complex production/logistics task, while simultaneously expanding humanoid experimentation to its Leipzig plant.

If you're asking because you're evaluating which company is most likely to have thousands of humanoids in factories first, that's a somewhat different—and more interesting—ranking.

When looking at verified, multi-month operational deployments on active commercial factory floors, Figure AI (partnered with BMW ) and Agility Robotics (partnered with Amazon and Toyota ) are furthest along in the West, while Chinese manufacturers like AgiBot and UBtech lead in sheer volume and aggregate factory installations.

The competitive landscape breaks down by who has moved past PR demo videos into multi-shift plant schedules:

• Figure AI (with BMW) : Figure holds the most mature, publicly detailed automotive manufacturing deployment. After an 11-month pilot where the Figure 02 model worked in the body shop at BMW’s Spartanburg, South Carolina plant (helping assemble over 30,000 vehicles), BMW expanded the partnership by deploying the third-generation Figure 03 . Figure 03 handles complex parts sequencing and logistics—tasks requiring real-time visual adaptation to irregularly arranged parts.
• Agility Robotics (with Amazon & Toyota) : Agility’s bipedal robot, Digit , has the longest-running commercial footprint in logistics and structured factory/warehouse environments. Following extensive multi-site testing with Amazon, Agility scaled active deployments into automotive settings like Toyota Canada's manufacturing facilities, focusing heavily on repetitive tote and material handling.
• Tesla (Optimus) : While Tesla commands massive media attention and is converting parts of its Fremont facility to scale up internal production of Optimus , company statements clarify that external or scaled factory-floor labor deployment remains mostly internal and developmental rather than fully operational as a replacement workforce.
• Chinese Manufacturers (AgiBot, UBtech, Unitree) : By volume, Chinese firms account for a massive share of global robotic installations. Companies like AgiBot (which shipped thousands of units) and UBtech (deployed in intelligent factories like Zeekr's) are scaling rapidly, backed by government manufacturing mandates that push domestic enterprises to integrate humanoids directly into production lines.

If you're tracking a specific industry, would you like to dive deeper into the automotive logistics use cases or compare the unit economics and payback periods of these different humanoid platforms?

If by “furthest along” you mean actually operating humanoids in real production environments—not demos, pilots, or announced plans—my pick is Figure AI.

My current ranking

The important distinction: Agility has the strongest claim if you define “deployment” as commercially operating humanoids anywhere. Digit was the first formal commercial humanoid deployment and has accumulated substantial operating experience.

But if your question is specifically “Who is closest to having humanoid robots become a repeatable part of automobile manufacturing?”, I'd put Figure AI clearly in front. BMW says Figure 02 completed a successful deployment at Spartanburg, and in June 2026 BMW announced that Figure 03 is moving into the next phase there.

So, in one sentence:

Figure AI is furthest along on the factory floor; Agility Robotics is furthest along in proven commercial humanoid operations.

And I would not put Tesla first yet—the gap between building a few Optimus units internally and running a reliable fleet on production lines is substantial.

If you're evaluating these companies as investments, the ranking changes quite a bit because I'd weigh manufacturing scale, unit economics, customer commitments, and who controls the robot's AI stack differently.

Determining who is "furthest along" depends on whether you measure by external commercial deployment validation (real work in a partner's non-affiliated factory), internal mass manufacturing integration , or raw volume shipping numbers.

The industry splits into distinct front-runners:

• Figure AI (with BMW): Widely recognized as the strongest Western commercial validation story. Following a successful multi-month pilot with Figure 02 at BMW's Spartanburg, South Carolina plant, Figure rolled out its next-gen Figure 03 Go to product viewer dialog for this item. robot into active logistics and parts-sequencing lines. Rather than basic pre-programmed loops, these units use physical AI to handle real-time container variability in live production environments.
• Tesla (with Optimus): Operates at a massive internal scale but with a different strategy. Tesla has over a thousand Optimus units deployed inside its own Fremont and Texas manufacturing plants for internal tasks like battery cell sorting and material handling. However, Elon Musk noted that they have primarily functioned as internal learning and development platforms rather than full commercial labor replacements, though Tesla continues scaling towards volume manufacturing lines.
• Agility Robotics (Digit): While leading the broader commercial humanoid/bipedal deployment race, Agility is slightly more concentrated in warehousing and logistics (such as high-profile operations moving over 100,000 totes with GXO Logistics ) rather than heavy automotive manufacturing floors, though Digit crosses heavily into industrial material handling.
• Unitree Robotics & AgiBot (China): By sheer hardware volume, Chinese manufacturers like Unitree (with thousands of G1/H1 units shipped) and AgiBot are leading in manufacturing quantities and commercial availability, though many of these units enter developer labs, educational spaces, or early-stage domestic factory trials rather than deeply integrated, high-precision automotive assembly lines.
• Hyundai & Boston Dynamics: Hyundai is rapidly catching up as an infrastructure player, laying groundwork to deploy and mass-produce the newly commercialized electric Atlas across its global plants, including its U.S. Metaplant.

Overall, for actual verified work on a third-party automotive factory floor, Figure AI holds the lead in live deployment transparency, while Tesla leads in sheer numbers of humanoids roaming its own corporate manufacturing ecosystem.

Would you like to explore the specific metrics (like cycle times, payload capacities, or battery life) used to evaluate these factory humanoids, or are you more interested in the economic ROI of deploying them versus traditional industrial arms?

If you mean actual deployment on real factory floors—not demos or lab tests—the leaders are surprisingly close, but they lead in different ways.

Here's how I'd rank them today:

1. Tesla – furthest along in internal manufacturing deployment
2. Figure AI – furthest along in automotive factory pilots with external customers
3. Agility Robotics – furthest along in commercial deployment overall, though mostly warehouses rather than factory assembly
4. Apptronik – advanced pilots but earlier stage
5. Boston Dynamics – technically impressive but not broadly deployed in production

Tesla: strongest internal deployment

Tesla appears to have the largest real-world internal deployment of humanoid robots inside its own manufacturing operations. Optimus robots have been shown performing battery-cell handling, parts transport, and other repetitive factory tasks at Tesla facilities, and the company says it is using them continuously to gather operational data before wider commercialization. Tesla's advantage is that it owns the factories, allowing rapid iteration without waiting for outside customers.

The caveat is that nearly all deployments remain inside Tesla, so independent public performance data are limited.

Figure AI: strongest external factory customer

Figure has probably made the most visible progress with third-party automotive manufacturing.

Its robots have been working at BMW production facilities on parts handling and logistics tasks, with the goal of expanding into additional manufacturing operations as reliability improves. Figure's AI capabilities have advanced rapidly, but the number of robots in production remains relatively modest compared with Tesla's internal ambitions.

Agility Robotics: most proven commercial operator

If you broaden "factory floors" to include industrial logistics, Agility has perhaps the best commercial track record.

Its Digit robot has accumulated tens of thousands of operating hours moving totes and materials in real customer facilities through partners like GXO. Those are genuine production deployments rather than demonstrations, although they're primarily logistics and warehouse workflows rather than assembly-line manufacturing.

Apptronik

Apptronik's Apollo robot is undergoing industrial pilots, including work with Mercedes-Benz manufacturing. The company has made strong technical progress but has fewer publicly documented production deployments than Tesla, Figure, or Agility.

Boston Dynamics

Atlas remains arguably the benchmark for athletic humanoid robotics, but the electric Atlas is still focused on development and customer pilots rather than widespread production deployment.

Overall assessment

If the question is "Who has the most robots actually working in factories?", I'd summarize it this way:

One important point is that no company has yet deployed thousands of fully autonomous humanoids across factories. The industry is still in the pilot-to-early-commercial phase. The race has shifted from "Can a humanoid do the task?" to "Can it do the task reliably, safely, and cheaply enough to justify replacing conventional automation?" That reliability and economics challenge remains the main hurdle.