Roadmap

The Roadmap for Low-Code AI outlines the key phases of development, from the platform's initial launch to its long-term vision of becoming the leading decentralized AI solution. This roadmap reflects the strategic priorities of Low-Code AI, focusing on user adoption, platform growth, feature expansion, and the continuous evolution of the ecosystem. The platform is committed to building a robust, scalable, and secure environment for AI model creation, deployment, and trading.

Phase 1: Platform Launch & Early Community Building

• Launch of $LCAI Token: Introduce the native $LCAI token to facilitate transactions, incentives, and governance.

• Release of Core Features: Roll out the initial low-code/no-code tools for model creation, training, and deployment. This includes a drag-and-drop interface for model development and basic functionality for marketplace transactions.

• Community Engagement: Begin building an active and engaged community through social media, educational content, and platform tutorials. Foster early adoption and gather feedback for platform improvements.

Phase 2: Decentralized Marketplace Expansion & Model Trading

• Full-Scale Marketplace: Launch the decentralized AI model marketplace, where users can list, buy, sell, and rent AI models. Implement the order book mechanism for efficient matching of buy and sell orders, facilitating smoother transactions.

• Enhanced Token Use: Expand the utility of $LCAI tokens to support all marketplace transactions, with the ability to trade, stake, and earn tokens for model contributions and data sharing.

• Incentive Programs: Introduce incentives for data providers and computational resource sharers to contribute to the platform and receive $LCAI tokens as rewards.

Phase 3: Advanced Features & Community-Driven Governance

• Governance System Implementation: Introduce community-driven governance, allowing $LCAI token holders to propose and vote on platform updates, new features, and other key decisions through a decentralized voting system.

• Advanced AI Tools: Release more sophisticated AI model creation and training tools, including model optimization features and the ability to handle larger datasets and more complex models.

• Resource Sharing and Collaborative Model Training: Enhance the decentralized computational resource sharing system, allowing users to contribute unused computational power to improve model training efficiency.

Phase 4: Global Ecosystem Growth & Strategic Partnerships

• Global Expansion: Scale the platform to attract more users and developers from around the world, enabling greater data diversity and model contributions.

• Strategic Partnerships: Form strategic partnerships with major AI research organizations, tech companies, and data providers to expand the platform’s capabilities and user base.

• Enhanced AI Marketplace: Expand the marketplace to include more advanced AI models and integrate additional monetization features, such as subscription-based access to premium models or API-based integrations for businesses.

Phase 5: Full Decentralization & Continuous Innovation

• Complete Decentralization: Achieve full decentralization, where all platform governance, model training, and operations are entirely managed by the community through Decentralized Autonomous Organization (DAO) governance.

• AI Innovation Hub: Foster an environment for continuous AI innovation, where new algorithms, models, and use cases can be shared, tested, and developed collaboratively by the community.

• Cross-Platform Integration: Integrate with other blockchain and AI platforms to expand Low-Code AI’s reach and capabilities, enabling cross-platform model sharing, collaboration, and monetization.