It's a roadmap not a to-do list.

Crypto moves fast, and we move fast too.

Pivoting is a way of life.

Roadmap for BCA Protocol Development and Advancement:


  • User Interface platform

  • AI-smart cookie - Data gathering

  • Referral Program,

  • UI/UX, Bug Fixes, Product Upgrades


🟪 Foundation (Q3-Q4, 2023)

  • Build Core Infrastructure: Develop and deploy the foundational components of the BCA Protocol, including the smart contract architecture, decentralized data storage, and user interface.

  • Implement Privacy Enhancements: Enhance privacy features within the protocol, such as zero-knowledge proofs and differential privacy, to safeguard user data while ensuring its usability for AI model training.

  • Launch Partner Program: Collaborate with strategic partners, including web platforms, data providers, and AI researchers, to onboard users and enrich the dataset available for training AI models.

🟪 Data Providers and users Onboarding (Q1-Q2, 2024)

  • Browse to Earn: Expand the protocol's data integration capabilities to enable users to onboard permisionless and in a decentralized manner.

  • Establish Governance Framework: Define governance mechanisms for the protocol, enabling community participation in decision-making processes.

  • Conduct Security Audits: Perform comprehensive security audits to ensure the robustness and integrity of the protocol.

🟪 AI Model Training Pipelines (Q3 2024)

  • Deploy Major AI Models: Integrate leading open-source AI models, into the BCA Protocol ecosystem, enabling users to contribute data for training and fine-tuning these models.

  • Implement Federated Learning: Introduce federated learning mechanisms to enable distributed model training across the BCA network, preserving user privacy while aggregating insights from diverse datasets.

  • Launch Bittensor Integration: Integrate with the Bittensor subnet network to leverage decentralized compute resources for AI model inference and prediction tasks.

🟪 Scaling and Optimization (Q4 2024)

  • Enhance Scalability: Implement layer 2 scaling solutions, such as state channels or sidechains, to increase transaction throughput and reduce latency within the protocol.

  • Optimize Resource Allocation: Develop algorithms for efficient resource allocation, dynamically allocating computing resources based on demand and network conditions.

  • Expand Developer Ecosystem: Foster a vibrant developer ecosystem around the BCA Protocol, offering tools, documentation, and support for building AI applications and services on top of the platform.

🟪 Community Growth and Adoption (2025- Ongoing)

  • Community Engagement: Continue to engage with the community through events, hackathons, and educational initiatives to drive awareness and adoption of the protocol.

  • User Onboarding: Streamline the user onboarding process, making it easy for individuals and organizations to join the BCA ecosystem and contribute to AI model training.

  • Research and Innovation: Invest in ongoing research and development efforts to explore emerging technologies and trends in AI, data privacy, and decentralized computing, ensuring the protocol remains at the forefront of innovation.

By following this roadmap, the BCA Protocol aims to revolutionize the AI industry by democratizing access to training data, fostering privacy-preserving AI model development, and empowering users to contribute to the advancement of AI technology.

Last updated