Nomadic raises $8.4 million to wrangle the data pouring off autonomous vehicles
The company turns footage from robots into structured, searchable datasets with a deep learning model.
The company turns footage from robots into structured, searchable datasets with a deep learning model.
Driven by labor shortages, Japan is pushing physical AI from pilot projects into real-world deployment.
Instead of building robots themselves, the team is focused on a simpler goal — providing data that robots need to learn and operate. They believe that better data will be key to making robots more useful.
Human Archive, a startup founded by UC Berkeley and Stanford researchers, is paying gig workers in India to wear camera-equipped caps and sensor devices to collect the real-world physical training data that AI and robotics labs are racing to acquire.
The new round values the physical AI startup that aims to automate heavy engineering and drug design at $41 billion.
French serial entrepreneur and open source legend Jean-Baptiste Kempf has been building Kyber, an infrastructure layer to control remote devices in real time.
Forget YouTube videos — frontier physical AI models need multiple camera angles, dense annotation, and, soon, brain wave readings.