AIAV announced the completion of a $4 million financing round and will be listed on platforms such as Binance Alpha and Bitget.
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AIAV announced the completion of a $4 million financing round and will be listed on platforms such as Binance Alpha and Bitget.
AIAV is pioneering a participatory AI ecosystem that allows users to train, own, and continuously evolve their own AI Avatar (AV) through authentic conversations.
Navigating Web3 tides with focused insightsAIAV, an emerging platform that integrates Artificial Intelligence (AI) with Web3, recently announced that its native token will be listed on Binance Alpha, Bitget, LBank, and MEXC.
Trading will officially commence at 10:00 AM UTC.
Product Introduction
AIAV is pioneering a participatory AI ecosystem that allows users to train, own, and continuously evolve their own AI Avatar (AV) through real conversations.
Unlike traditional closed models trained by centralized entities, AIV advocates for open co-creation: every user interaction helps optimize the AI character while ensuring data transparency and user data ownership.
The project combines a community-driven learning mechanism with an incentive system, transforming individual creativity and data contributions into shared value for the entire ecosystem by rewarding high-quality interactions.
Investment Information
AIAV announced the completion of a $4 million seed funding round, with investors including:
Animoca, DuckDAO, Castrum Capital, VistaLabs, Edimus Capital, Bedrock Ventures, Notch Ventures, Gemhead Capital, R&G Capital, and Alpha Capital.
This funding will primarily be used for product development and ecosystem expansion.
Technical Architecture
AIAV's technical foundation includes a Decentralized Learning Framework and a Data to Value Pipeline, enabling users to truly own, train, and benefit from their conversational data without centralized intermediaries.
The project employs a Paralinguistic learning model that not only understands textual content but also captures linguistic features such as tone emphasis, rhythm, and style. Simultaneously, it coordinates interactions among multiple characters via the x402 protocol to achieve a more authentic multi-character dialogue experience.
Within AIAV's Scalable Multi-Agent System, the dialogue style learning agent and the dialogue generation agent continuously communicate, converting user feedback into Likert scale signals to update personal profiles. These updates are ultimately fed back to the shared model through Federated Learning.
Vision and Future Plans
AIAV's core vision is to promote the universal adoption of AI ownership. It innovatively bridges the value chain between real conversational data and digital assets, empowering users to transform their exclusive conversational data into self-controlled AI Avatars. These agents support personalized training, multi-dimensional evaluation, and can be seamlessly deployed across diverse application scenarios such as social interaction, work, and entertainment, truly enabling user autonomy over data value.
The project is anchored to the goal of building a fully transparent, decentralized AI value ecosystem, reconstructing ecosystem rules through blockchain technology:
- The quality of all user contributions and data ownership verification information will be permanently recorded on-chain, achieving traceable and immutable value records.
- Ecosystem incentives will be precisely targeted, with rewards directed to participants who provide high-value training signals and effective feedback.
- AI agents are designed as standardized modular assets, allowing individuals and communities to freely integrate them into various products, games, and services, completely eliminating dependence on any single centralized platform.
Looking ahead, AIAV has defined a phased upgrade path:
- Iterate more powerful AV creation and editing tools to lower user barriers and unleash the potential for agent personalization.
- Expand the coverage of the first season airdrop campaign, allowing more ecosystem builders to share in the development benefits.
- Deepen cross-chain integration with multi-chain AI ecosystems to build an interconnected, distributed AI value network.
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