I opened Vangrid expecting to see another real-world data project. Then I started thinking about a bigger problem: what does an AI system use when it needs fresh, ground-level information about a physical location? Satellites can give you the view from above, but they cannot tell you what changed on the street minutes ago. That’s where @vangrid_io becomes interesting. Vangrid turns smartphones into a distributed capture layer. Specific locations can be requested through bounties, contributors capture them, and the data is fingerprinted, batched and anchored on Base. But collecting the data is only the beginning. The network also needs reliable verification, high-volume coordination and fast settlement for contributors. Vangrid is building this infrastructure from Amsterdam, with Robert Brighton leading GTM and experience across deep tech and Web3, including Microsoft’s Quantum Computing and HoloLens groups in Europe. Khalid Benrafik leads systems, bringing 14 years of experience across https://t.co/b5swylPqc4, ING and Mollie, including high-throughput infrastructure serving millions of users and over $1B in annual flow. Vangrid is also part of NVIDIA Inception. And this is already running, not just a concept. Web and Android capture are live, with captures and USDC settlements recorded onchain. The bigger question is whether Vangrid can turn ground-level data into something continuous, verifiable and scalable enough for Physical AI.