Machenta, a London robotics startup spun out of Imperial College London, has raised a $40 million seed round co-led by Creandum and Union Square Ventures, according to Imperial's announcement on Tuesday, October 27, 2026. The company is building a robot foundation model, a large AI system meant to generalize across tasks, that it says learns a new job after watching it done once.
Imperial described the round as the largest seed raise by a UK robotics startup. Tech.eu made the same claim and put the amount at about £30 million. Axios Pro Rata also listed the two firms as co-leads on October 27.
A headline figure with loose ends
Machenta declined to disclose a valuation. No investors beyond Creandum and USV have been named in any primary source reviewed for this article.
Public filings complicate the picture a little. Funding Spotter, citing UK Companies House records, pointed to a share allotment of about £22.7 million around September and October 2026. The company has not confirmed that figure, and the gap could reflect the timing of funding tranches or money routed through non-UK entities.
"Instant Robot Learning"
Machenta's pitch is simple to state and hard to deliver. A robot watches one demonstration, then performs the task, with no further training. The company calls this "Instant Robot Learning."
In a company blog post, Machenta said it had "built a new kind of foundation model designed for instant robot learning, trained entirely in simulation without a single pixel of real-world training data."
It reported stress-test results of 74 of 74 block placements, 78 of 78 screwdriver handovers and 97 of 99 bottle stands, all in hour-long, self-resetting trials. Preliminary demos, the company said, also showed the model running on humanoid robots and learning from demonstrations performed by a human hand.
Every one of those figures comes from Machenta itself. Robotics Weekly noted that no external test of the one-demonstration claim has been published, and the company has disclosed no named customers or commercial deployments. Biped.news lists it as pre-commercial, with early-access sign-ups open.
The founders and the team
Edward Johns, the chief executive, is a professor of robot learning at Imperial and directs its Robot Learning Lab. According to his Imperial profile, he was a founding member of the Dyson Robotics Lab. Vitalis Vosylius, the chief technology officer, was first author of "Instant Policy," an ICLR 2025 paper on learning new tasks from one or two demonstrations, trained on pseudo-demonstrations generated in simulation.
Johns's lab also published "Learning a Thousand Tasks in a Day" in Science Robotics in November 2025, reporting 1,000 tasks taught in under 24 hours.
Machenta's team page lists researchers from DeepMind, Dyson, Huawei and Stability AI. Headcount is small: Tech.eu put it at around a dozen, while The Cap Table reported 11 staff.
"Intelligence is not so much about what you can already do, it's about how quickly you can learn to do something new," Johns said in Imperial's announcement. "We've spent years trying to understand what it would take for robots to learn at the speed of a human."
What investors say, and where the money goes
Rebecca Kaden, managing partner at USV, was quoted by Tech Funding News taking aim at the prevailing approach. "The industry is pouring enormous amounts of capital into collecting real-world data and training robots one task at a time, but Machenta is changing this," she said.
Kathi Wilhelm, a partner at Creandum, wrote on the firm's blog that "very few teams in robotics can point to a body of work like this."
Tech Funding News reported that the money will go toward hiring, computing power and generating more simulated training data. Imperial said Machenta is moving into a new office and lab in King's Cross.
A crowded, expensive field
Machenta's simulation-first approach stands apart from better-funded rivals that lean on real-world data. TechCrunch reported that Skild AI raised a $1.4 billion Series C at a valuation of about $14 billion in January, and that Physical Intelligence was reportedly in talks to raise about $1 billion at a valuation above $11 billion.
Dream Labs, which describes a zero-shot model called Dream-1 (one that attempts tasks without task-specific examples), raised a $90 million seed. MekaWire ranked Machenta's round the fifth-largest robotics seed or pre-seed globally over the past 18 months, behind rounds that include Walden Robotics ($300 million) and General Intuition ($133.7 million).
Citing Crunchbase, Tech Funding News put physical AI funding at about $47.4 billion across 521 deals in the first half of 2026.
What comes next
Machenta said it is hiring across robot learning, control, simulation and 3D transformers. As of October 28, USV had not published a blog post on the deal.
