Design and deployment of a blockchain-powered data contribution network that rewards verified drone, GPS, and field uploads.
Internal research division focused on building the world’s first decentralized, asset-backed model training ecosystem.
Create a scalable rewards protocol that incentivizes individuals and organizations to contribute verified real-world data — including imagery, GNSS corrections, and sensor telemetry — to train NationOS models for AI-driven infrastructure automation.
We developed the Atlas Network, a proof-of-data protocol using blockchain verification and smart contracts. Contributors use drones, sensors, or mobile devices to capture geospatial data, which is verified by cross-referencing GPS precision, timestamp integrity, and AI-based authenticity checks. Once validated, data is encrypted, tokenized, and stored in the NationOS data layer. Contributors receive automated token rewards proportional to data quality, coverage, and novelty. This decentralized approach transforms mapping and surveying into a crowdsourced intelligence system — turning global field data into the foundation of real-world AI.
