AIAV, a platform blending artificial intelligence with Web3, has announced the completion of a $4 million seed funding round backed by Animoca, DuckDAO, Castrum Capital, VistaLabs, Edimus Capital, and others. Concurrently, its native token has gone live on Binance Alpha, Bitget, LBank, and MEXC, with trading starting at 10:00 AM UTC.
(This is a sponsored article provided by AIAV. It does not represent the views of the platform and is not investment advice.)
Funding Details and Use of Proceeds
Led by Animoca, the round also included participation from Bedrock Ventures, Notch Ventures, Gemhead Capital, R&G Capital, and Alpha Capital. Funds will primarily support product development and ecosystem expansion. AIAV aims to create a decentralized ecosystem where users can train and own personal AI Avatars, differing from closed, centralized models by emphasizing collaborative building—each user interaction refines the AI while maintaining data transparency and user ownership.
Technical Architecture Highlights
The platform's infrastructure includes a Decentralized Learning Framework and a Data to Value Pipeline, enabling users to truly own, train, and profit from their conversation data without centralized intermediaries. It employs a paralinguistic learning model that captures tone, rhythm, and style beyond mere text, and uses the x402 protocol to coordinate multi-agent interactions for realistic dialogues. In its scalable multi-agent system, a dialogue style learning agent communicates continuously with a dialogue generation agent, converting user feedback into Likert scale signals to update personal profiles, ultimately feeding back to the shared model via federated learning.
Vision and Roadmap
AIAV's core mission is to democratize AI ownership by linking real conversation data with digital assets. Users can transform exclusive dialogue data into self-controlled AI Avatars that support personalized training, multi-dimensional evaluation, and seamless deployment across social, office, and entertainment scenarios.
The project targets a fully transparent, decentralized AI value ecosystem: all user contributions and data rights are permanently recorded on-chain; incentives are precisely distributed to participants providing high-quality training signals; AI agents are designed as standardized modular assets that can be freely integrated into products, games, and services, eliminating reliance on any single centralized platform.
Future upgrades include enhancing AV creation and editing tools, expanding the first season of airdrop coverage, and deepening cross-chain integration with multi-chain AI ecosystems to build an interconnected distributed AI value network.