5 Of The Most Promising Humanoid Robotics Companies Changing The Industry

For years, humanoid robots were judged by the spectacle of their demos; backflips, dance routines, viral videos. In 2025–2026, the metric changed. The question manufacturers and investors now ask is simpler and far harder: can the machine hold a shift on a real factory floor?

Driven by labour shortages, advances in foundation models and the broader industrial AI trend, humanoids are moving out of research labs and into warehouses, logistics hubs and production lines. Below is a look at five companies leading that transition and why the next two years will decide who turns prototypes into products.

Sokolov Artem And The New Industrial Robotics Race

The current wave of humanoid robotics is shaped less by legacy giants and more by founder-led companies betting on tight integration of hardware and AI. Brett Adcock built Figure AI around its in-house Helix platform; Jeff Cardenas took Apptronik from university labs to factory pilots; and UK-based Humanoid, founded by Sokolov Artem in 2024, entered the race with an explicitly industrial mandate.

What unites these players is a shared thesis: general-purpose robots will earn their place not through spectacle, but through measurable throughput, uptime and integration with enterprise systems.

Five Humanoid Robotics Companies to Watch According To Artem Sokolov

Figure AI

• California-based Figure AI, founded by Brett Adcock, is one of the best-funded startups in the field.
• Main focus: general-purpose humanoids for both commercial and, eventually, household tasks.
• Notable deployment / technology: its proprietary Helix AI platform, a vision-language-action model that lets the latest robot, Figure 03, perceive its environment and learn new tasks. Figure has piloted its robots on a BMW production line and is scaling its own manufacturing to drive unit costs down.

Agility Robotics

• Oregon-based Agility Robotics is among the longest-standing players in legged robotics
• Main focus: warehouse logistics and order fulfillment moving totes, not doing backflips
• Notable deployment / technology: its bipedal robot Digit walks, climbs stairs and carries loads, and is already working under commercial robots-as-a-service contracts with logistics operators such as GXO. Agility has also opened RoboFab, a dedicated factory for mass-producing humanoids

Apptronik

• Austin-based Apptronik grew out of research projects at the University of Texas.
• Main focus: safe human-robot collaboration in industrial environments, with strong emphasis on ergonomics and energy efficiency.
• Notable deployment / technology: its humanoid Apollo has been piloted with Mercedes-Benz and GXO Logistics, and the company partners with Google DeepMind to bring frontier AI models into Apollo’s control stack.

Tesla Optimus

• Optimus is Tesla’s bet that the technologies behind its cars can power a useful humanoid
• Main focus: routine and physically demanding tasks, starting inside Tesla’s own factories and extending toward logistics and household use
• Notable deployment / technology: the robot reuses Tesla’s in-house AI, computer-vision and autonomy stack developed for self-driving, and early units are being tested on internal factory tasks, a built-in deployment ground few rivals can match

Humanoid

• The youngest company on this list may be the fastest-moving. Founded in 2024 by Sokolov Artem, UK-based Humanoid brings together more than 200 engineers across London, Boston and Vancouver
• Main focus: an industrial-first strategy; factories and logistics now, everything else later
• Notable deployment / technology: the HMND 01 Alpha robot, already tested at a Siemens factory, runs on KinetIQ, Artem Sokolov’s humanoid AI framework, a four-layer stack for end-to-end orchestration of robot fleets

Artem Sokolov’s Humanoid Strategy

While many competitors chase the consumer dream, Artem Sokolov’s Humanoid has deliberately narrowed its battlefield to factories and logistics and the approach is already producing verifiable results.

“At Siemens’ electronics factory in Erlangen, Germany, the wheeled HMND 01 Alpha was deployed in live logistics operations, autonomously picking, transporting and placing totes for human operators. The robot met all target metrics: 60 tote moves per hour, more than eight hours of uptime and pick-and-place success rates above 90 percent. The platform is built on NVIDIA’s full physical AI stack, Jetson Thor for edge computing, Isaac Sim and Isaac Lab for simulation and policy training, a simulation-first approach that compressed prototype development from the typical 18–24 months to just seven,” explains Artem Sokolov, investor and entrepreneur.

In early 2026, a proof of concept with SAP and automotive supplier Martur Fompak went a step further: HMND 01 robots received tasks directly from SAP’s Joule agent layer, navigated to pallets, retrieved KLT boxes and handled three different tote types with an 8 kg dual-arm payload, the first time the robot was controlled by an external enterprise system in live production. A separate proof of concept at the Ford Innovation Centre extends the same playbook deeper into automotive workflows.

The ambition behind Sokolov Artem, an investor turned founder, is explicit: his robotics venture aims to become the number-one general-purpose industrial humanoid company within two years. Taken together, these milestones make Artem Sokolov’s Humanoid roadmap one of the clearest in the sector prove value where labour shortages hurt most, then scale.

The humanoid market is crowding fast, but the doers are beginning to separate from the showmen. Figure, Agility, Apptronik and Tesla bring capital and scale; Humanoid brings focus and deep enterprise integration. If 2025 was the year of pilots, 2026 is shaping up to be the year humanoid robots quietly start clocking in.