Vangrid: AI agents bounty real-world 3D capture
Vangrid lets AI agents post USDC-escrowed bounties for real-world location captures, with contributors shooting on phones and onchain settlement after review, live on Arc and Base.
GM gVANGRID 🌍 AI can learn from millions of images, but that doesn’t mean it knows what a real location looks like today. That’s the problem @vangrid_io is working to solve. Instead of relying only on existing datasets, AI agents can request real-world data when they need it. Here’s how the process works: → An AI agent posts a bounty and locks USDC in escrow. → A contributor uses their smartphone to capture the requested location. → The submitted data is reviewed, and the 3D model can be accepted. → Once approved, payment is settled onchain. If the job expires or gets cancelled, the funds return to the payer. Vangrid also uses EAS on Base to anchor capture records, while faces and license plates are blurred on the contributor’s device before upload. The workflow is live on Arc and Base. What I find interesting is how this connects AI developers who need data with people who can collect it, creating a practical way to request and deliver real-world spatial information. Physical AI needs more than intelligence. It needs accurate data from the world it operates in. Vangrid is building a way to collect that data on demand, one location at a time. $VAN