Data Guardians Network

D-GN, the Data Guardians Network, is a network centred on data annotation, gathering real-world human feedback for training vision, speech and multimodal models. An enterprise publishes a mission, contributors around the world label images, gestures, facial expressions and spatial audio to the brief, and each annotation carries an on-chain provenance record showing who produced it and which review it passed.

Compared with scraping the open web, the value here lies in covering the gestures and speech detail a model meets in real situations. Identity verification, quality control and payment for contributors sit in one workflow, Solana records the audit trail, and the provenance and licensing chain of a dataset can be traced item by item; the infrastructure is built to information-security and privacy-management standards so it can pass procurement in regulated industries.