🗺️Roadmap

Where do we go from here?

Keep AI Long-term Objectives: Shaping the Future of Knowledge Asset Ownership and AI Integration

The Keep AI roadmap is designed to guide the community, stakeholders, and the Keep AI team toward a future where knowledge asset ownership and AI participation are democratized. Our mission is to revolutionize how knowledge assets are harnessed, shared, and valued in the age of AI through the pioneering concept of KnowledgeFi. This roadmap aims to create an inclusive, dynamic, and efficient space that empowers all participants.

Phase I (Q3 2023 - Q4 2023): Genesis

• Assemble core team and initial contributors

• Beta launch of Kipley.ai marketplace and onboard first clients

• Commence research and development of Keep AI

• Design architecture for decentralized knowledge assets

Phase II (Q1 2024): Strong Foundations

• Public launch of Kipley.ai

• Release initial version of Keep AI

• Integrate with partner layer 1 chains

• Facilitate monetization of knowledge assets

• Engage early adopters and knowledge creators

• Refine based on community feedback

• Grow community through partnerships with KOLs

Phase III (Q2 2024 - Q4 2024): Global Community of Users & Token holders

• Establish cross-chain bridges to expand interoperability

• Drive global user and token holder communities

• Expand partner and project ecosystem

• Pursue strategic exchange listings worldwide

• Token generation event

• Launch of Checker Nodes

• Enhance tokenomics with yield programs

• Onboard prominent business clients

• Launch OCU and OCU academic grants fund

• Launch revamped KIPhub

Phase IV (Q1 2025 - Q4 2025): App Chain/L2 for AI

• Grow developer relations programs

• Sign state levels customers / partners

• Pursue tier 1 exchange integrations

• Engage the broader AI/ML ecosystem

• International hackathon/workshop developer relations programme

This roadmap outlines our commitment to advancing the platform's features, empowering the community, expanding global presence, and ensuring long-term sustainability in the evolving landscape of the AI-driven knowledge economy.