General-purpose humanoid robots for industrial, hazardous and repetitive work
Humanoid is a London-based robotics company founded in 2024, building the HMND 01 Alpha humanoid platform. Its stack spans simulation (MuJoCo, Isaac Sim, Gazebo), embedded Linux on NVIDIA Jetson, EtherCAT and FPGA work in Verilog/VHDL, plus robot learning in PyTorch, JAX and OpenVLA. Adoption of NetSuite, Xero and JumpCloud alongside IEC 62443 and EU machinery compliance needs points to a shift from R&D toward commercial pilots and production.
Notable leadership hires: Head MENA
Humanoid develops general-purpose humanoid robots intended for manufacturing, construction and logistics settings, especially tasks that are hazardous or monotonous. The company is headquartered in London, was founded in 2024 and employs 201–500 people. Its flagship platform is HMND 01 Alpha, which it is taking into on-site proof-of-concept and pilot deployments. Hiring spans the United Kingdom, United States, Saudi Arabia and Germany, with a MENA leadership role signaling regional expansion. The team is heavily weighted toward senior engineering talent across mechanical, electronics, embedded software and AI disciplines.
Humanoid uses C++, Python and Rust, simulation tools MuJoCo, Isaac Sim and Gazebo, NVIDIA Jetson with Yocto and Buildroot, EtherCAT, and PyTorch, JAX and OpenVLA for robot learning.
Humanoid is headquartered in London, United Kingdom, and also hires in the United States, Saudi Arabia and Germany.
Humanoid is developing the HMND 01 Alpha humanoid platform, including end-effector control, remote diagnostics, cloud-to-robot communication security and on-site pilot projects.
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Humanoid's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.