Mowito raises $3M to teach factory robots without code
Mowito is developing physical-AI models that let industrial robotic arms learn tasks by demonstration rather than repeated specialist programming.
Industrial robots are powerful, but changing what they do can still require expensive specialist programming.
What happened
Mowito raised a $3M pre-seed round led by Version One Ventures, with participation from All In Capital, Unisol and iSeed.
The company is developing AI foundation models that allow industrial robotic arms to learn tasks through demonstration rather than traditional programming.
Why it matters
The deployment bottleneck in industrial robotics is often flexibility.
Factories can justify automation for repetitive, stable tasks, but smaller production runs and changing workflows make constant reprogramming expensive.
If workers can demonstrate a task and have a robot learn it, automation could become viable across a much wider range of manufacturing environments.
The bigger picture
Physical AI is shifting the robotics market from fixed automation toward adaptable machines.
The long-term opportunity is not only more capable robots, but systems that can be redeployed without a full engineering project every time the task changes. Mowito is targeting exactly that transition.