Roadmap

DataMind Roadmap: Building the Future of Decentralized AI

Phase 1: Foundation & Community Building

• Launch DataMind Protocol: Deploy core smart contracts on Ethereum for Data Vaults, AI Training-as-a-Service (ATaaS), and the $DMIND token economy.

• Develop Initial User Interface: Create a simple, intuitive platform for data providers and AI developers to interact.

• Community Engagement: Engage early adopters and partners, focusing on data privacy advocates, AI researchers, and Web3 pioneers.

Phase 2: Marketplace & AI Model Ecosystem

• AI Model Marketplace Launch: Open the DataMind Data & AI Model Marketplace for buying, selling, and licensing data and trained models.

• Proof-of-Training Integration: Implement Proof-of-Training (PoT) to ensure every model is verifiable and trustworthy.

• Partnerships & Integrations: Partner with research institutions and enterprise-level AI companies to attract high-quality datasets and models.

Phase 3: Decentralization & Advanced Features

• Validator Network Activation: Launch a decentralized network of validators to verify data and training authenticity.

• AI Reputation System: Deploy the AI Reputation System to reward quality data contributions and model verifications.

• ZK-Encrypted Data Vaults Expansion: Enhance the security and scalability of ZK-encrypted Data Vaults, enabling seamless, trustless access to sensitive data.

Phase 4: Global AI Network & Governance

• Full Decentralized Governance: Transition to a DAO-based governance model, giving $DMIND token holders the power to influence platform decisions.

• Global Expansion: Onboard global data providers, AI developers, and validators to scale DataMind’s ecosystem to a global level.

• AI-as-a-Service (ATaaS) Growth: Expand the range of AI tools, services, and training capabilities on the platform, ensuring affordable access for all users.