Bittensor Subnet Ideathon - Privacy-Preserving AI Data Marketplace

VaultNet is a Bittensor subnet that creates a decentralized, privacy-preserving marketplace for AI training data. It enables enterprises and institutions to contribute high-quality datasets for AI model training while cryptographically guaranteeing that raw data is never exposed. Miners compete to perform AI-driven data quality assessment, zero-knowledge proof generation (zk-SNARKs), and privacy compliance certification. Validators independently verify proofs on-chain and score miner contributions via Yuma Consensus. VaultNet addresses the critical infrastructure gap preventing enterprise adoption of Bittensor: no existing subnet enables privacy-preserving contribution of proprietary datasets. The addressable market sits at the intersection of AI training data ($30B+ by 2030), privacy-enhancing technology ($25B+), and decentralized data markets ($12B+). VaultNet combines ZK-native cryptographic privacy, AI quality scoring, and native Bittensor integration to create a defensible data marketplace with built-in distribution to 129+ subnets.

Completed full subnet design including: (1) Incentive & mechanism design with composite scoring formula (40% data quality, 35% privacy compliance, 25% throughput), anti-gaming defenses, and proof-of-intelligence qualification. (2) Detailed miner design covering three computational tasks, AI data quality assessment, zk-SNARK proof generation (Groth16), and privacy compliance certification, with I/O specs and hardware requirements. (3) Validator design with 4-stage scoring pipeline, evaluation cadence, and Yuma Consensus integration. (4) Five-layer technical architecture (Data Ingestion, Privacy Engine, AI Quality Engine, Marketplace, Consensus). (5) Competitive analysis within Bittensor (Storb, Dojo, Data Universe) and outside (Ocean Protocol, Oasis, Nillion, Snowflake). (6) Business model with 5 revenue streams and sustainability plan. (7) Go-to-market strategy targeting Bittensor subnet owners, AI research labs, healthcare AI, and financial institutions. (8) Phased roadmap from testnet (Q1 2026) through ecosystem scale (2027+).