Physical AI needs more than large datasets. It also needs reliable ways to verify where real world data comes from and how it is collected.
This is an important part of the vision behind
@vangrid_io. By turning smartphones into a distributed spatial capture network, Vangrid enables contributors to collect location specific 3D data on demand, with capture records anchored on Base.
What I find particularly interesting is the role of data provenance. As robotics and world models advance, knowing the origin of spatial data becomes just as important as collecting it. Vangrid combines targeted capture requests with onchain records, creating a more transparent foundation for coordinating real world data collection.
The broader opportunity is to connect people, physical environments and AI infrastructure through a verifiable network. Rather than relying entirely on centralized data collection, this model opens another path for sourcing spatial intelligence at scale.
For me, verifiable data infrastructure is an essential piece of the Physical AI ecosystem, and
@vangrid_io is exploring this intersection with a live network.
Explore the network and verify its activity:
explorer.vangrid.io/