ReadyAI subnet 33
ReadyAI presents Subnet 33 as an open-source Bittensor network for data structuring and semantic tagging. The project is aimed at making raw content easier to use in vector databases, fine-tuning datasets, and retrieval-augmented generation systems. Miners and validators participate in a pipeline that rewards useful structured outputs rather than general-purpose model inference.
About ReadyAI subnet 33
ReadyAI is a structured-data subnet that turns raw data into tagged, machine-usable assets for AI applications.
Many organizations have raw documents, conversations, or content streams that are difficult to use in AI systems until they are cleaned, structured, tagged, and made retrievable.
AI application teams, data engineers, RAG builders, and businesses that need lower-cost structured data preparation.
Team and ownership
ReadyAI is publicly associated with co-founder David Fields; detailed official team bios are not available.
- David Fields, Co-founder: ReadyAI co-founder and author of BIT-0008.
Key pages:
learn about Bittensor,
Bittensor glossary,
Bittensor FAQ,
Bittensor subnet screener,
portfolio tracker,
subnet baskets,
Neuralteq validator,
and fees.