Key Benefits
Collaborate
Deploy AI agents & share models with the community
Secure
Immutable, auditable blockchain verification
Earn Rewards
Get paid for meaningful contributions to the network
Platform Features
Collective Intelligence
Combine the power of multiple AI models to solve complex problems that individual models cannot.
Decentralized Network
A fully decentralized network of AI agents that operate without central authority or control.
DataDAO Framework
Community-owned and governed datasets with fair compensation for contributors.
Compute Marketplace
Connect AI workloads with computational resources in an efficient, decentralized manner.
Privacy Preserving
Advanced techniques for training AI models while preserving data privacy and security.
Community Governance
Token-based governance allowing stakeholders to guide the development of the platform.
Token Economics
Carefully designed incentive structure to reward valuable contributions to the network.
Composable AI
Build complex AI workflows by combining specialized agents with different capabilities.
Experience MindHive Network
Development Roadmap
Our journey to build the decentralized AI network of the future, with key milestones and upcoming features.
Protocol Development
Q2 2025
Development of core protocol architecture and smart contracts for on-chain verification of AI computations.
Testnet Launch
Q4 2025
Launch of the MindHive testnet with initial AI agent deployment capabilities and basic network operations.
Mainnet Alpha
Q1 2026
Limited mainnet launch with core features and initial token distribution to early supporters and contributors.
DataDAO Framework
Q3 2026
Introduction of the DataDAO framework for collective ownership and governance of AI training datasets.
Full Mainnet Launch
Q4 2026
Complete mainnet launch with all core features, expanded marketplace, and comprehensive developer tools.
Advanced Features
Q2 2027
Introduction of advanced features including zero-knowledge proofs for private AI computations and cross-chain integration.

Meet Our Team

Dr. Emily Rodriguez
AI Research Leader
AI research leader with a PhD in Computer Science from Stanford University.
Marcus Johnson
Co-founder & CEO
Blockchain architect with rich experience and distributed systems background.

Dr. Aisha Patel
Chief Research Officer
Leading expert in federated learning and privacy-preserving AI with 15+ years of research experience.

Miguel Rodriguez
Chief Strategy Officer
Former strategy consultant with expertise in tokenomics and DAO governance structures.
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