First AI and robotics company in the UK, creating the world’s leading, commercially scalable, and safe humanoid robots.

London, The UK
Today, we're announcing that we’ve raised $152 million in our Series A at a $1.35 billion post-money valuation, becoming Europe's first pure-play humanoid robotics unicorn just two years after founding. This funding brings the total raised to date to $270 million. The round was led by @PrimeMoversLab, with participation from @SchaefflerGroup, @BoschGlobal, Fubon Financial Holding Venture Capital, and Aglaé Ventures. The capital will support development and launch of the next-generation humanoid robot platform, the roll-out of Beta version in Q4 2026, start of mass manufacturing of wheel-based robots and the continued development of KinetIQ, our AI brain. Humanoid's valuation reflects rapid execution and the technology's shift from research to commercial deployment, demonstrating that Europe can build and scale globally competitive Physical AI companies. Read more here: thehumanoid.ai/humanoid-rais…
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We gave our interns real robotics problems from day one. Then we asked how they survived the crazy pace at Humanoid. Watch this 👇
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Teleoperation sits at the core of what we do. Data collected through it has zero embodiment gap, making high-quality post-training possible. But teleoperation is useful for more than just data collection. Here’s a glimpse at what else we use it for and how we do it, explained by our Controls team.
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Robots live in the 3D physical world. They need spatial awareness to act intelligently within their surroundings. At Humanoid, we are teaching the robots to perceive the whole richness of 3D space, not just act based on the latest camera frame. Here's how 🧵
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We call this spatial memory, which acts as a shared foundation for physical intelligence from navigation and manipulation to higher-level reasoning.
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Our Spatial AI team is building robots that don’t just see the world, but understand, remember and act within it. Come build the future with us! Apply here: thehumanoid.ai/careers/?ashb…
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Huge congratulations to both teams @nvidia @huggingface! This is a big moment for the global AI developer community. Open models have been critical in accelerating progress across many fields, including robotics and Physical AI. It will be great to see how this evolves from here.
Exciting day for NVIDIA and @huggingface. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. They allow every developer, startup, university, industry and country to build with, customize and benefit from AI. Thank you @ClementDelangue for coming to me. NVIDIA is going to be a great home for Hugging Face, its community and the future of open models. 🤗 blogs.nvidia.com/blog/nvidia…
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Kirk Rostron has joined Humanoid as Chief Business Officer, based in Washington, DC. He will lead capital formation, business development, and government affairs in the US, helping build the strategic capital, partnerships, and public-sector relationships that support Humanoid’s growth. Kirk brings 25+ years of experience, including building Merrill Lynch’s global capital introduction business and founding a merchant bank that raised billions across infrastructure, AI, and other sectors. Outside of work, he founded No Greater Sacrifice, a foundation supporting debt-free college education for the children of America’s fallen and wounded service members. Welcome to Humanoid, Kirk.
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We’re hiring engineers - lots of them 🦾 We currently have 12 open positions across seven different roles in the UK. Links in thread 👇
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What does it take to build a successful robotics business? @Forbes sat down with Humanoid CPO Sotirios Stasinopoulos to discuss our strategy: start with industrial applications where humanoid robots can create value today. Logistics, manufacturing, retail, machine feeding, material handling, and other repetitive, physically demanding workflows. The goal: flexible fleets powered by KinetIQ, our four-layer AI brain, and built for real-world deployment. Thanks to @johnkoetsier and @Forbes for spotlighting what we’re building. Read full article here: forbes.com/sites/johnkoetsie…
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Humanoid is on the @Nasdaq Tower in Times Square. Two years ago, we were a small team with fire in our eyes and a belief that humanoid robots could change how the world works. Today, that belief is lit up in one of the most iconic locations on the planet. Artem said it best - this feels like a dream. But it is real, and it is the result of every engineer, every late night, every demo that almost worked, and every one that finally did. We are proud and we are just getting started 🚀
@TheHumanoidAI just lit up the Nasdaq Tower. From an idea to Times Square in 2 years, this is what I call real speed. To my team at Humanoid: I’ll repeat it one more time, and I want you to pause for a second and truly feel this moment – you built a unicorn in such a short time! I’m so proud of you and I can’t imagine a better team to go on this journey with. And thank you, @Nasdaq, for this special moment.
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Initializing… Big reveal soon.
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Honoured to win the Plug and Play Global Innovation Award together with @SchaefflerGroup. Last week, Humanoid and Schaeffler were among five teams recognised by STARTUP AUTOBAHN powered by @PlugandPlayTC. This comes just weeks after we announced our landmark partnership to deploy thousands of humanoid robots into live manufacturing operations, with first systems going live in Germany before the end of 2026. Thank you to Schaeffler for believing in us, and to STARTUP AUTOBAHN powered by Plug and Play for the recognition. It means a lot to the team 🦾
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A detailed breakdown from Boris Yangel, our Head of AI, on how KinetIQ Ascend works. Worth a read!
Today's robots are too unreliable and slow for real industrial work. Reinforcement learning changes that. Meet KinetIQ Ascend: our robots practice real production tasks and improve predictably towards industrial reliability standards. How it works 🧵
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Today we’re introducing KinetIQ Ascend: our reinforcement learning approach designed to reach 99.9% manipulation reliability at human speed and beyond. It enables our robots to learn from real production tasks and improve through trial and error: • Machine feeding: throughput +42% • Item handover: throughput +85%, success from 80% to 98% • Tote handling: throughput more than doubled, success from 78% to 99% More in the blog post below 👇
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