We are building a decentralized platform that transforms how creative works—songs, artworks, stories, inventions, and more—are shared, owned, and monetized. Instead of relying on traditional gatekeepers like publishers or labels, creators can tokenize their work, offering small digital shares to fans, backers, and investors. Each registered work is split into a fixed number of tokens, representing fractional ownership. These tokens can be bought, traded, or held by anyone. For example, a musician can tokenize a new song into 1,000 shares. Supporters who purchase tokens earn a proportional share of future royalties whenever the song is licensed, streamed, or sold. Investors benefit from a marketplace where creative IP becomes a new asset class. Token holders automatically receive royalty payouts through smart contracts—no delays, no intermediaries. Every transaction is recorded on-chain, ensuring transparency and trust. The platform includes cross-chain functionality via DeBridge and TomoChain, enabling users to connect various wallets and trade assets across multiple chains like Ethereum, Polygon, BSC, and TomoChain. Social login and wallet aggregation make it easy for creators and users to participate, even without deep Web3 knowledge. Story Protocol integration ensures proper IP registration, metadata storage, and IP discovery. Creators retain sovereignty over their works while maintaining full control over how much to sell and at what price. Gaia agents provide autonomous protection, licensing enforcement, and usage verification. AWE Network agents manage bridge strategies and world state logic—ensuring seamless cross-chain interaction and IP rule enforcement. This is a creator-first economy where ownership is shared, revenue is fair, and creativity becomes an investable commodity.
Category tags:"Well done, the idea seems promising and also fulfilling the main requirement of showing the demo being built using Trae. I loved the decentralized platform for artists and investors. However, the revenue stream needs to be improved little and demo works smoothly. "
Muhammad Inaamullah
ML Engineer