Machenta Raises $40 Million Seed Round To Build Instant-Learning Robot Foundation Models

By Amit Chowdhry Today at 4:40 PM

Machenta has raised $40 million in seed funding to develop and scale robot foundation models designed to let robots learn new physical tasks from a single demonstration. The round was led by Creandum and Union Square Ventures and represents the largest seed financing raised by a UK robotics startup, according to Imperial College London.

Machenta spun out of Imperial College London and is building on years of research conducted by Professor Edward Johns and his team at the university’s Robot Learning Lab.

The company’s core technology is focused on what it describes as instant robot learning.

Traditional AI-powered robots often require repeated human demonstrations of individual tasks and additional model updates before they can perform new activities reliably. Machenta is developing an alternative approach intended to allow robots to learn a task after seeing it only once.

The company said its model could eventually give robots a more human-like ability to acquire new physical skills dynamically with guidance directly from end users.

Machenta is also approaching the training process differently from many current robotics AI systems.

Instead of relying primarily on large collections of real-world human demonstrations, its model is pre-trained entirely on simulated data.

The company believes this approach could make robot foundation model development more scalable while reducing some of the cost, logistical, and privacy challenges involved in gathering large volumes of human-generated training data.

The research behind Machenta began approximately six years ago at Imperial College London, where Johns and his team investigated whether robots could learn new physical skills at speeds closer to human learning.

After the techniques developed in the lab showed commercial potential, Johns and PhD student Vitalis Vosylius founded Machenta with colleagues from the research group.

The team has demonstrated a single model capable of learning a range of physical tasks, including packing and tidying, across different robotic platforms, including humanoid robots.

Machenta plans to use the new financing to scale its instant-learning model and expand its team.

The company has also opened a new office and laboratory in King’s Cross, London.

The broader goal is to create robot foundation models that can adapt across tasks and hardware platforms without requiring developers to retrain systems manually for every new use case.

Imperial College London said Machenta’s progress could also strengthen the UK’s position in AI-enabled robotics by combining university research expertise with commercial deployment.

KEY QUOTES:

“Intelligence is not so much about what you can already do, it’s about how quickly you can learn to do something new. Humans don’t need to see the same thing over and over before they can do it. If you take some objects, and show somebody what to do with them, they’ll probably then be able to do the same task immediately. We’ve spent years trying to understand what it would take for robots to learn at the speed of a human. That is what instant robot learning is about.”

Professor Edward Johns, Co-Founder And CEO Of Machenta And Professor Of Robot Learning At Imperial College London

“Very few teams in robotics can point to a body of work like this, which has repeatedly changed what people thought was possible. The team at Machenta has spent years breaking through this extremely hard problem, long before there was a company around it. They’re not starting with just a theory of how robots can learn like humans; they’re building on years of experience actually making it happen.”

Kathi Wilhelm, Partner At Creandum

“Machenta’s technology, and the vote of confidence it has received from investors, is testament to the quality of the research by Ed and his Robot Learning Lab. Machenta’s early success signals an opportunity for the UK to become a global leader in AI-enabled robotics, drawing on the specialist capabilities of universities like Imperial – and you can expect to see a growing stream of game-changing technologies from Imperial and our collaborators in this space.”

Professor Mary Ryan, Vice-Provost For Research And Enterprise At Imperial College London