GM Legends ✨
The internet could be scraped. The physical world cannot.
That is the licensing problem hiding under every Physical AI pitch. Text and public images were vacuumed first and argued over later. Street-level video of loading docks, interiors, and sidewalks does not work that way. You hit privacy law, site access, and procurement on contact. A model trained on unverifiable footage of real places is not a dataset. It is a liability.
@vangrid_io is closer to a commissioned survey market than to a scrape.
A requester names a place and funds a bounty. A contributor records a short pass on a phone. Faces and plates are removed on the device, so identifiable raw video is not the thing being sold. The capture is fingerprinted when it is made, reconstructed into geometry, and batched onto Base with an attestation a buyer can inspect. Acceptance is explicit. Payment is supposed to follow the accepted work, not a hope that “the network” will sort rights after the fact.
That sequence is the product.
Open mapping communities produce coverage. They rarely produce a file an enterprise can put in a contract. Dedicated survey firms produce contracts. They rarely produce city-scale refresh at the speed a live fleet needs. Vangrid is trying to sit between those two: civilian access for the last ten meters, plus a chain of custody that makes the output procurable.
If you work in robotics, logistics, or sovereign systems, this is the unglamorous filter. Can I say where this observation came from. Can I say when. Can I say it was redacted before upload. Can I re-order the same polygon next week when the site changes. If the answer to any of those is a shrug, the mesh is a demo.
$VAN is specified as collateral and settlement. It is not live. Treat points as points.
The category will not be won by whoever collected the most clips. It will be won by whoever can sell a licensed, dated, checkable observation of a real place, the physical-world equivalent of a rights-cleared asset, not another scrape of the street.