Technical Architecture

Gata’s DataAgent system enables the decentralized production of large-scale AI-driven data for AI training by aggregating idle compute resources from participants.

The data generation process consists of three core components: input data, AI computation, and output data:

Input data is stored on BNB Greenfield, a decentralized storage chain within the BNB ecosystem, to ensure persistent availability and broad accessibility.

Participants use their local compute resources to perform AI computations on the retrieved input data, processing it into valuable AI outputs.

Output data and proofs of contribution are anchored back onto BNB Greenfield, securing provenance, ownership, and integrity through decentralized storage.