--- title: Machenta raises $40M to teach robots a task from a... description: Machenta, a London robotics spinout from Imperial College London, raised a $40M seed round to teach robots new tasks from a single demonstration. Creandum and... canonical: https://daily.dev/posts/machenta-raises-40m-to-teach-robots-a-task-from-a-single-demonstration-3u4mzo5zx twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Machenta raises $40M to teach robots a task from a single demonstration | daily.dev og:description: Machenta, a London robotics spinout from Imperial College London, raised a $40M seed round to teach robots new tasks from a single demonstration. Creandum and... og:url: https://daily.dev/posts/machenta-raises-40m-to-teach-robots-a-task-from-a-single-demonstration-3u4mzo5zx og:image: https://api.daily.dev/og/posts/3u4MZO5zX.png og:image:alt: Machenta raises $40M to teach robots a task from a single demonstration og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Machenta raises $40M to teach robots a task from a single demonstration **[The Next Web](https://daily.dev/sources/tnw)** · 3 min read · 0 upvotes · 0 comments ## Summary Machenta, a London robotics spinout from Imperial College London, raised a $40M seed round to teach robots new tasks from a single demonstration. Creandum and Union Square Ventures co-led the round, which Imperial calls the largest seed ever raised by a UK robotics startup. The model trains entirely on simulated data, with CEO Edward Johns saying it uses no 'single pixel of real-world data'. Once trained, a robot needs to see a task like packing a box only once, with no further training. The 11-person company has no near-term plans to sell its technology and faces much larger rivals like Skild AI, valued over $14B. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### How does Machenta train robots without using any real-world data? Machenta trains its AI model entirely on simulated, computer-generated environments rather than footage of people performing tasks. CEO Edward Johns says the model uses no 'single pixel of real-world data'. Once trained, the model can direct a robot to perform a new task, such as packing a box or tidying a table, after seeing it demonstrated just once, with no additional training needed. _Engineers weighing simulation versus real-world data pipelines follow robotics funding shifts like this on daily.dev._ ### How much funding did Machenta raise and who are the investors? Machenta raised a $40M seed round co-led by Creandum and Union Square Ventures. Imperial College London, where the startup was spun out from, called it the largest seed round ever raised by a UK robotics startup. The company has 11 employees, declined to disclose its valuation, and plans to use the funds to grow its team, boost compute, and open a new office in King's Cross, London. _Tracking robotics funding rounds like this helps developers gauge where investment and jobs are heading, something daily.dev readers follow closely._ ### How does Machenta's one-shot robot learning compare to rivals like Skild AI? Machenta's model learns a new task from a single demonstration with no further training, but its rivals are far larger and further along commercially. Skild AI, valued at over $14B, already sells similar technology and said in August its model could handle unseen tasks lasting up to 10 minutes after one video demo, reaching $100M in annual recurring revenue. Physical Intelligence is valued around $11B and FieldAI near $10B. _Comparing competing robot-learning approaches like these is easier when tracking the space on daily.dev._ ## Similar posts on daily.dev - [Mecka AI nears $500M valuation in Sequoia-led deal amid rush for robot training data](https://daily.dev/posts/mecka-ai-nears-500m-valuation-in-sequoia-led-deal-amid-rush-for-robot-training-data-jeiekgk4i) · TechCrunch · 0 upvotes · 0 comments - [An F1 aerodynamicist just raised $55m to teach factory robots, using footage of people doing chores](https://daily.dev/posts/an-f1-aerodynamicist-just-raised-55m-to-teach-factory-robots-using-footage-of-people-doing-chores-kjgsq00di) · The Next Web · 0 upvotes · 0 comments - [Zurich startup Enact raises $30M to give robots a sense of touch](https://daily.dev/posts/zurich-startup-enact-raises-30m-to-give-robots-a-sense-of-touch-f70s4atme) · The Next Web · 0 upvotes · 0 comments - [Back to school: robots learn from factory workers](https://daily.dev/posts/back-to-school-robots-learn-from-factory-workers-fbjclsqt9) · Robohub · 0 upvotes · 0 comments --- Tags: [#startup](https://daily.dev/tags/startup), [#robotics](https://daily.dev/tags/robotics) [View this post on daily.dev](https://daily.dev/posts/machenta-raises-40m-to-teach-robots-a-task-from-a-single-demonstration-3u4mzo5zx) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Machenta raises $40M to teach robots a task from a single demonstration","url":"https://daily.dev/posts/machenta-raises-40m-to-teach-robots-a-task-from-a-single-demonstration-3u4mzo5zx","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/machenta-raises-40m-to-teach-robots-a-task-from-a-single-demonstration-3u4mzo5zx"},"datePublished":"2026-10-28T15:32:00.874Z","dateModified":"2026-10-28T15:58:18.913Z","description":"Machenta, a London robotics spinout from Imperial College London, raised a $40M seed round to teach robots new tasks from a single demonstration. 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CEO Edward Johns says the model uses no 'single pixel of real-world data'. Once trained, the model can direct a robot to perform a new task, such as packing a box or tidying a table, after seeing it demonstrated just once, with no additional training needed. Engineers weighing simulation versus real-world data pipelines follow robotics funding shifts like this on daily.dev."}},{"@type":"Question","name":"How much funding did Machenta raise and who are the investors?","acceptedAnswer":{"@type":"Answer","text":"Machenta raised a $40M seed round co-led by Creandum and Union Square Ventures. Imperial College London, where the startup was spun out from, called it the largest seed round ever raised by a UK robotics startup. The company has 11 employees, declined to disclose its valuation, and plans to use the funds to grow its team, boost compute, and open a new office in King's Cross, London. Tracking robotics funding rounds like this helps developers gauge where investment and jobs are heading, something daily.dev readers follow closely."}},{"@type":"Question","name":"How does Machenta's one-shot robot learning compare to rivals like Skild AI?","acceptedAnswer":{"@type":"Answer","text":"Machenta's model learns a new task from a single demonstration with no further training, but its rivals are far larger and further along commercially. Skild AI, valued at over $14B, already sells similar technology and said in August its model could handle unseen tasks lasting up to 10 minutes after one video demo, reaching $100M in annual recurring revenue. Physical Intelligence is valued around $11B and FieldAI near $10B. Comparing competing robot-learning approaches like these is easier when tracking the space on daily.dev."}}]} ```