Gm Creators How Vangrid Is Mapping the Physical World The internet has plenty of data, but the physical world is still missing a lot of it. AI can learn from websites, books, and videos. But what happens when an AI or robot needs to understand a warehouse, a loading dock, or a private yard? Traditional maps cannot capture every detail. Places change, and many indoor or restricted areas are not properly documented. This is where @vangrid_io comes in. Vangrid is building a marketplace for real world 3D mapping. Here is how it works: A buyer requests a 3D capture of a specific location. The buyer funds a bounty in USDC on Base. A nearby contributor uses their phone to capture the location. The footage is turned into a 3D mesh, which is a digital model of the space. Once the buyer accepts the work, the contributor gets paid. Privacy is part of the process too. Faces and license plates are intended to be blurred on the device before the data leaves the camera. Vangrid also uses capture fingerprints, such as hashes, approximate locations, and timestamps. These records can be anchored onchain to help verify where the data came from. The goal is not just to collect videos. The goal is to create useful, verifiable 3D data that businesses, robots, and physical AI systems can use. Of course, the project still has questions to answer: Can contributors provide accurate captures? Can it expand beyond major cities? Will businesses repeatedly pay for this data? Those questions will determine how useful the network becomes. The bigger idea is simple: If AI is going to work in the real world, it needs better data about the real world. Vangrid is trying to build that missing layer, one location at a time.