
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 creating a new cross‑functional “AI‑Powered Continuous Improvement Flywheel” — embedding artificial intelligence into our transformation rhythm to continuously drive up automation, accuracy, and efficiency across the organization.
The Business AI Lead will guide this effort company‑wide: defining strategy, shaping architecture, aligning teams, and ensuring responsible, measurable adoption of AI across all value streams.
What You’ll Do
We’re Looking For
Nice to have
What We Offer
How to Apply
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AI Strategy, Operating Model & Governance
Define the company’s AI strategy, vision, and flywheel execution cadence.
Lead the design of the AI operating model across people, processes, tools, and controls.
Establish frameworks for ethical, secure, and responsible AI deployment.
Report strategic outcomes, risks, and opportunities to executive leadership.
Enterprise AI Architecture Ownership
Define and maintain the company’s AI architecture: from platform selection to deployment patterns.
Work with IT to ensure AI systems integrate securely and scalably across business functions.
Own the enterprise AI tool registry and ensure consistency across domains.
Govern technical decisions related to LLM usage, proprietary models, and workflow integration.
Cross‑Functional Alignment
Lead and coordinate a team of domain‑specific AI Leads.
Ensure alignment of all AI initiatives with business capability maturity targets.
Resolve overlaps or conflicts across engineering, back office, and executive automation.
Performance, Impact & Adoption
Define and track KPIs for automation maturity, output accuracy, adoption, and ROI.
Drive internal reporting and stakeholder education on AI performance and trends.
Establish internal education programs to improve AI fluency company‑wide.
Continuously evaluate emerging AI technologies and practices.