Vangrid: Smartphone 3D capture for ground-level spatial AI maps
Vangrid, from Vangrid, is an Android spatial data app that collects ground-level 3D scans for Physical AI. The app converts short smartphone videos into textured, machine-readable 3D models while offering on-chain verification, a built-in marketplace, a bounty system, and a live geotagged map. Designed for AI developers, robotics teams, and individual contributors, it aims to supply high-fidelity ground-truth spatial data with real-time privacy blurring and a points-based contributor reward system.
What is Vangrid used for in professional workflows?
Vangrid operates as a Decentralized Physical Infrastructure Network that targets spatial data needs for AI, robotics, autonomous logistics, and real estate. In practice the app captures ground-level detail that satellites miss, then anchors provenance on-chain using the Ethereum Attestation Service on the Base network, creating verifiable spatial assets. For organisations needing location-accurate training data, the app positions contributors as a distributed sensor layer and requesters as buyers of verified 3D content.
How does the capture-to-delivery workflow operate for contributors and requesters?
The workflow moves from smartphone video to marketable asset and commissioning requests. Key steps include:
- recording short videos on Android that the platform converts into textured 3D models;
- geotagging captures on a live map and listing assets in the in-app marketplace;
- fulfilling bounties posted by organisations to earn higher rewards. Contributors accrue PTC points to track contribution history for future token conversion events.
Is the app approachable for contributors and teams without specialist hardware?
The app runs on standard Android devices and provides a web dashboard at app.vangrid.io for managing captures and bounties, so teams avoid dedicated sensors. It applies real-time, edge-computed privacy blurring for faces and license plates during recording, which reduces downstream redaction work. Collaboration depends on blockchain-linked identity: users sign in with a digital wallet to track earnings and provenance, which shapes the onboarding path for new contributors.
Vangrid suits crypto-aware teams building ground-truth spatial datasets.
Vangrid is a practical option for AI developers and contributors who need verifiable, ground-level spatial data for model training and operational mapping. The trade-off is a frictional onboarding path tied to crypto-native account flows and contributor reward mechanics, which raises the bar for nontechnical participants. It best serves teams and individuals prepared to integrate token-tracked contributions into their spatial data pipelines.
