
Humanoid develops general-purpose humanoid robots for industrial and daily tasks. The technology combines AI and robotics to create adaptable, safe robots for hazardous and monotonous environments.…

Humanoid develops general-purpose humanoid robots for industrial and daily tasks. The technology combines AI and robotics to create adaptable, safe robots for hazardous and monotonous environments.…
What they build: Commercially scalable humanoid robots (HMND 01 family) and an AI stack called KinetIQ
Target customers: Enterprise automation for manufacturing, warehouses, logistics, retail and service sectors
Founded: 2024 (UK-based)
Notable funding: Reported Seed round June 2024 — $50.0M
Head: Founder & CEO: Artem Sokolov
Industrial and enterprise automation (manufacturing, warehouses, logistics, retail, 3PL, service/household tasks).
2024
Robotics Engineering
$50.0M
Reported seed round in June 2024 sized at $50.0M.
“Mitch Kapor listed as a lead investor on a company profile”
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Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications.
Our Mission
At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.
Vision
In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.
Solution
As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.
We are a next‑generation humanoid robotics company building safe, reliable, and cost‑effective robots for industrial environments. Our engineering organization spans software, hardware, systems, test, and manufacturing — and our ability to continuously improve these capabilities defines our long‑term advantage.
We are now embedding an AI‑Powered Continuous Improvement Flywheel across the company to drive up the level of automation, accuracy, and velocity in how we design, test, and manufacture our robots.
The Business AI Lead – Engineering will be central to this transformation, helping our engineers use AI as a co‑engineer: accelerating design iteration, simulation, validation, and manufacturing readiness.
As Business AI Lead – Engineering, you will identify, develop, and scale AI solutions that enhance productivity, reliability, and innovation across our full engineering value chain.
You will collaborate deeply with capability owners in Software, Mechanical, Electrical, Systems, Test, and Manufacturing engineering to automate key workflows, improve design quality, and reduce engineering cycle time — all while ensuring that outputs remain accurate, secure, and compliant.
You’ll be part of a growing cross‑functional business AI team that operates alongside our Transformation and IT groups to embed AI into the way we work every day.
What You’ll Do
We’re Looking For
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What We Offer
How to Apply
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AI Enablement for Engineering
Identify high‑impact use cases across R&D, validation, and production engineering.
Deploy AI copilots, simulation tools, and optimization engines into engineering workflows.
Define measurable performance gains and lead pilot‑to‑scale deployment cycles.
Integration & Collaboration
Work with IT to integrate AI into PLM, CAD, test, and data systems.
Partner with Engineering Capability Owners to align AI initiatives with maturity targets.
Ensure secure handling of engineering data and models.
Performance & Quality
Measure and report automation, accuracy, and adoption metrics.
Use AI‑driven insights to accelerate design-for-excellence reviews and failure analysis.
Support DFX and reliability efforts with predictive analytics.