As AI applications continue to evolve, Embeddings, Model Shards, and RAG corpora are rapidly becoming core foundational data. These data often exhibit a clear "long tail" characteristic: vast in quantity, dispersed in distribution, yet crucial for model performance and continuous learning. Loss or highly centralized control of these data not only impacts the reliability of AI systems but also poses security and sovereignty risks.