Machenta raises $40m in seed funding to advance simulation-based robot training
Creandum and Union Square Ventures co-led the seed round to support team expansion and computational capacity.
Machenta develops foundational artificial intelligence models that enable robots to learn new tasks rapidly from simulation data rather than extensive real-world collection.
London-based robotics startup Machenta has secured $40m in a seed funding round co-led by Creandum and Union Square Ventures. The 11-person enterprise focuses on developing simulation-trained foundation models that allow robots to acquire new physical skills from minimal real-world demonstration. The fresh capital will be directed towards expanding the workforce, scaling computational infrastructure, and generating additional simulated data to tackle complex robotic tasks.
From the founder
"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,"
Edward Johns
Co-founder and CEO at Machenta
Investor perspective
"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, Creandum
Use of funds
- 01Grow the team
- 02Fund research and development
- 03Build out infrastructure
