🛣️Roadmap

Q3 2024

Objective: Deliver MVP to establish foundational functionality and introduce KNAI to the market.

• Platform Development:

  • Build and release the initial version of the KNAI platform, focusing on core capabilities to upload, manage, and transform table data into graph data, enabling accessible and decentralized data management.

  • Implement role-based data management access to ensure secure and customized access permissions.

  • Refine and update the platform’s tokenomics model to ensure a sustainable, incentivized ecosystem for early adopters and contributors.

• AI Development:

  • Complete the development of KNAI ALM (Automated Learning Model) with a specialized focus on leveraging graph data to optimize data insights.

  • Begin the initial training of KNAI ALM to build foundational intelligence, setting the stage for scalable AI-driven data analysis and predictions.

Q4 2024

Objective: Expand platform usability with enhanced integrations and user-friendly node deployment.

• Platform Development:

  • Develop a user-friendly Node Dashboard that enables seamless interaction with deployed nodes, fostering enhanced monitoring and control for users and administrators.

  • Integrate with Binance Smart Chain to leverage blockchain security and token interaction, establishing the groundwork for future tokenomics features.

• Node Development:

  • Launch POW Test Net nodes to validate and simulate proof-of-work within the platform, testing blockchain functionalities and network resilience.

  • Implement a one-click deployment feature via WebAssembly (wasmCloud), offering users a simplified, efficient method for node deployment without requiring extensive technical knowledge.

• AI Development:

  • Increase the RAG query capabilities through on-the-fly vectorization during creation

Q1 2025

Objective: Enable robust node monitoring, multiple-file graphing, and scalable deployment options to expand user engagement and platform capabilities.

• Platform Development:

  • Roll out real-time node monitoring to provide users and admins with instant insights into node health, uptime, and performance, enhancing user trust and engagement.

  • Improve the Graph Build module by adding support for multiple file uploads, allowing users to generate graphs from complex datasets.

  • Expand the types of files supported, increasing the platform’s flexibility and accessibility.

• AI Development:

  • Enhance KNAI ALM’s compatibility with multiple files, enabling more comprehensive data analysis and insights across larger, interconnected datasets.

  • Prompt caching for public graphs

  • Autogenerated cases and examples for quality increasement

• Node Development:

  • Introduce KNAI-managed deployment, simplifying setup for users by allowing KNAI to handle backend deployment tasks.

  • Launch solutions for AWS Marketplace, allowing organizations to adopt KNAI nodes via AWS for seamless integration into their existing infrastructure.

  • Provide a manual deployment option for advanced users who require granular control over their node configurations.

Q2 2025

Objective: Secure platform launch and decentralized network enhancement, enabling tokenized ownership and scaling the KNAI ecosystem.

• Platform Development:

  • Implement extensive security improvements across user access, data, and node integrity to fortify the platform against cyber threats.

  • Introduce NFT-based ownership for both data and nodes, creating a decentralized, blockchain-secured ownership model.

  • Launch the KNAI Mainnet to go live with fully decentralized, production-ready infrastructure.

• Node Development:

  • Transition nodes to a POS (Proof of Stake) model on the Mainnet, supporting scrapping, computation, data management, and graph storage functions.

  • Expand node types to support diverse workloads, enhancing the robustness and functionality of the KNAI decentralized network.

• AI Development:

  • Custom prompting

  • Custom semi-AI preprocessing before graph creation

Q3 2025

Objective: Optimize the platform for scalability, market accessibility, and streamlined business adoption.

• Platform Development:

  • Enhance Node Dashboard with improved monitoring features and introduce one-click update and deployment options for a seamless user experience.

  • Expose the KNAI API for enterprise use, supporting business integration and expanding the platform’s reach through a SaaS model.

• Node Development:

  • Strengthen security for Graph nodes, addressing advanced use cases and privacy requirements for enterprise data.

  • Improve KNAI’s infrastructure interface to support smoother, more efficient interactions and operations across nodes.

  • Streamline node deployment for businesses by adding KNAI nodes to marketplaces such as Azure and DigitalOcean, making the platform more accessible to a wider user base.

  • Introduce a direct interaction option for users via RPC, allowing for secure, efficient node communication and extending the platform’s capabilities.

• AI Development:

  • Increase the number of open public graphs in high-demand domains