Vision

AIAV emerges with a vision that challenges the current model in which artificial intelligence is built exclusively by large corporations. Its core approach is to collectively shape AI through its users.

By converting real human dialogues into AI knowledge, AIAV aims to produce AI Avatars (AVs) that are fueled by personal conversations and truly reflect the individuals behind them. This approach positions AIAV not merely as a technology product, but as an AI Agent platform that grows together with its users.

The project takes a clear stance against the uncompensated use of personal and valuable data. Within the AIAV ecosystem, users are not passive data providers, but active participants forming the core of the system. The platform’s long-term goal is to build a living AI ecosystem that evolves alongside its community.

Project Concept: What Is an AI Avatar (AV)?

At the center of AIAV lies the concept of the AI Avatar (AV).

An AV is not a standard chatbot or assistant. It is born from real conversations and gradually shapes itself by learning the speaker’s:

• Tone

• Way of thinking

• Knowledge level

• Characteristic reactions

While most AI systems gravitate toward uniform, standardized personalities, each AIAV Avatar can develop a distinct identity. Some may act as mentors, others as creative collaborators, and some as long-term companions capable of retaining contextual memory.

This personalization layer transforms AVs from abstract technology into digital entities that are genuinely usable and trustworthy in daily life. AIAV turns “data contribution” from an abstract process into tangible digital value that grows with the community.

Contribution Flow

• Contribute: Users add data through chats and persona examples.

• Evaluate: The community scores contributions based on quality and similarity.

• Train: AI Avatars improve and evolve through these inputs.

• Earn: Contributions generate AIAV XP, which can later be converted into tokens.

Team and Founders

The project is developed by Tokyo-based D.N.A. AI AVATAR Co.:

• Ryoji Miyauchi (CEO): Visionary leader

• Jack Tran (CPO): Product strategist

• Paul Kano (CAIO): AI architect

• Tsuyoshi Tomioka: Growth director

Investors

• Funding: The project has raised a total of $4 million at a $30 million valuation.

• Key Investors: Animoca Brands, DuckDAO, Castrum Capital, VistaLabs, Edimus, Bedrock Ventures, Notch Ventures, Gemhead Capital, and Alpha Capital.

• Binance Alpha: Selected as a strategic partner for airdrop and listing as of January 2, 2026.

$AIAV Token and Use Cases

$AIAV is a Web3 token that converts dialogue into value. Its earn-and-spend cycle ensures system sustainability.

• Compute Access: Tokens unlock larger context windows, faster response times, and extended generation rights.

• Service Tiers: Holding or staking tokens provides:

  • Longer memory

  • Premium models

  • Task-specific AI Agents

• Contribution Rewards: High-quality data, feedback, and evaluations are rewarded with $AIAV.

• Governance: Token holders can propose and vote on reward weights, fee distributions, and system updates.

Token Allocation

• Ecosystem Rewards: 17.5% – 12 months

• Treasury Fund: 20% – 24 months

• Liquidity: 12% – 12 months

• Marketing (Total): 3.6% – 12 months

• CEX/DEX Marketing: 7.4% – 12 months

• KOL Marketing: 1.2% – 12 months

• Marketing Agency: 2.5% – 12 months

• Community Airdrop: 2.5% – 12 months

• CEX Marketing: 5.7% – 12 months

Roadmap

2025 Q3

• $AIAV Token CEX/DEX listings

2025 Q4

• AIAV Beta release

• Automated contribution tracking and reward distribution

• Visual and video generation features

• Layer and platform partnerships

2026 Q1–Q2

• AIAV Alpha Platform launch

• Full platform with Federated Learning

• SDK/API release

• Automated purchase integrations

Ecosystem and Key Features

The AIAV ecosystem serves both individual users and enterprises.

• Ownership: Users fully own their AI avatars and all associated data.

• Interoperability: Avatars can move across metaverse worlds and applications.

• Hyper-Personalization: AIAV avatars can mimic the owner’s humor and emotional responses, unlike standard AI systems.

Official Links

• Website
• Twitter
• Whitepaper

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Team and Founders

Although official information about the ByteNova team is limited, the project is led by Chris, a founder and entrepreneur specializing in decentralized computing and the future of AI. Chris shapes the strategic direction of N.O.V.A and the ByteNova ecosystem, guiding the project’s vision and key initiatives.

Investors and Notable Partners

ByteNova benefits from a strong network of investors and partnerships. Key supporters include NVIDIA, CoinMarketCap, and Forum Ventures. NVIDIA provides hardware support to optimize edge AI performance, CoinMarketCap boosts project visibility, and Forum Ventures is a fund specializing in early-stage AI investments.

Notable partnerships include:

• HyperGPT: AI + blockchain integration; transforming N.O.V.A into personalized 3D AI companions for crypto trading.

• 4AI (4aibsc): BSC-based decentralized AI marketplace with modular AI infrastructure, plugin, and data tools.

• Gaib AI: On-chain AI collaboration with Phase 2 NFT allowlist campaigns and exclusive roles.

• SOLOverse: BNB Chain GameFi + AssetFi platform with reward campaigns.

• DIN: Infrastructure for AI agents and decentralized AI applications; supporting “Road to N.O.V.A.” campaigns.

• Hylo: Solana-based high-yield stablecoin integration with alpha discovery and engagement bonuses.

These collaborations strategically position ByteNova in the Web3 ecosystem and integrate seamlessly with NVIDIA’s NIM microservices and NeMo Guardrails tools.

Project Concept

ByteNova’s core vision is to move AI from cloud-centric control to users’ devices. AI runs locally, ensuring privacy, personalization, and developer-driven extensibility. N.O.V.A learns user habits and gradually evolves into a personal digital assistant.

How the Project Works

ByteNova operates on a three-layer architecture:

• Edge AI Computing Layer: On-device AI inference with GPU/NPU/CPU support, offering low latency and high privacy.

• Model Layer: Custom LLMs, TTS, and ASR systems designed for emotional intelligence, memory, and companion-like behavior.

• N.O.V.A Application Layer: Desktop application providing a personal AI experience with customizable appearance, voice, and behavior.

Governance

ByteNova adopts a decentralized approach. Users own their AI via Soulbound Tokens (SBTs) linked to their N.O.V.A, while developers can build plugins and MCP tools, earn revenue, and contribute to the ecosystem.

Roadmap

• Phase 0 (2023–2024): Edge AI infrastructure, LLM and speech model development.

• Phase 1 (Q1–Q3 2025): Community building, ecosystem preparation, user education, and campaigns.

• Phase 2 (Q4 2025): N.O.V.A Alpha, SBT minting, mining, and premium features launch.

• Phase 3 (Q1–Q2 2026): MacOS, iOS, and Android releases; plugin SDK and platform expansion.

• Phase 4 (2026+): Full marketplace activation, advanced edge-AI ecosystem, VR/AR/MR integration.

Token Use Cases

• Premium N.O.V.A subscriptions

• Purchasing plugins and MCP tools

• Staking and reward mechanisms

• Marketplace transactions

• Earning rewards through daily interactions and community tasks

BN Token Information

• Token Name: ByteNova Token

• Total Supply: 1 Billion BN

• Max Supply: 1 Billion BN

• Self-reported Circulating Supply: 263 Million BN

Token Distribution

• Private Rounds: Early development and fundraising

• Team & Advisors: Founding team and advisors

• Foundation: Operations, R&D, and ecosystem management

• Airdrop: Early users and community contributors

• Incentive Pool: User rewards, developer incentives

• Ecosystem: Developer grants, strategic partnerships, marketing

Ecosystem

ByteNova is a platform where users, developers, and the AI ecosystem converge. N.O.V.A evolves according to user behavior, while developers expand AI capabilities with plugins and MCP tools. The marketplace ensures continuous innovation and economic activity.

Features

• Customizable AI assistant

• Appearance, theme, voice, and behavior personalization

• Low-latency, privacy-preserving edge AI

• Developer plugin support

• Daily interactions, quests, and mining system

• AI identity and long-term bond via Soulbound Token (SBT)

ByteNova aims to create an innovative ecosystem where AI moves from centralized servers to edge devices, providing users with personal ownership, privacy, and developer-driven expansion.

Social Media & Links

• Website
• Twitter
• Telegram

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What is MCP?

MCP (Model Context Protocol) is an open standard designed to connect AI models and assistants with external tools and data sources. Launched by Anthropic in November 2024, MCP enables AI models to generate more accurate and relevant responses. It removes the need for custom code for each data source, allowing AI systems to dynamically access external resources.

How MCP Works:

• MCP Client/Host: AI models like Claude or GPT that make requests.

• MCP Server: Provides access to files, databases, APIs, and other functionalities.

• Communication: Supports bidirectional communication, allowing data retrieval and actions such as updating documents or sending emails.

What is DeMCP?

DeMCP serves as a decentralized MCP network bridging AI and Web3. It provides open-source MCP services for developers, a deployment platform with commercial revenue sharing, and one-stop access to LLMs. With USDT and USDC support, it enables global developers to join the ecosystem easily. Combined with TEE and blockchain, DeMCP redefines MCP security and reliability, accelerating the growth of the Agent industry.

How the Project Works

DeMCP connects AI models and LLMs seamlessly through the SSE proxy layer and MCP services. TEE-based security and blockchain registration ensure service reliability. Developers are incentivized with token rewards and revenue sharing to provide high-quality MCP services.

• Decentralized Validators: Nodes in the network validate transactions and maintain cross-chain message integrity. Validators stake DMCP tokens to secure the network and earn rewards.

• Cross-Chain Messaging Protocol: DeMCP receives, validates, and securely transfers messages between different blockchains, covering asset transfers, smart contract calls, and data sharing.

• Open-Source Development: Enables community audits and contributions to security and development.

• Security: Uses advanced cryptographic methods and staking mechanisms to prevent double-spending and tampering.

Governance

Governed by DMCP token holders, the governance model allows the community to decide on protocol updates, fee adjustments, new chain integrations, and critical parameter changes. Token holders vote using their tokens, with weight proportional to holdings, moving the project toward a fully decentralized DAO.

Roadmap

Q2 2025 – Phase 1: SSE Proxy Layer & Centralized MCP Registry

• Convert Stdio communication to SSE

• Traffic control and request limiting

• “Zero code” integration for MCP services

• Centralized registry for metadata, health checks, and basic evaluation

Q3 2025 – Phase 2: TEE Secure Environment & Blockchain Registry

• Deploy MCP services in TEE with remote attestation and encrypted data transfer

• Blockchain-based service registry, identity verification, and reputation system

Q4 2025 – Phase 3: Fully Decentralized MCP Blockchain Platform

• High-speed, low-latency MCP-specific blockchain

• TEE verification integrated with on-chain service registration

• Token-based rewards and governance mechanisms

Token Utility

• Incentives and revenue sharing for MCP service developers

• Ecosystem fund support and rewards

• Affordable and fast access to LLMs and AI services

Token Details & Distribution

• Official Token: $DMCP

• Total Supply: 1,000,000,000 DMCP

• Max Supply: 1,000,000,000 DMCP

• Circulating Supply: 850,000,000 DMCP

Distribution:

• Fair Launch (Pump.fun): 85%

• DeMCP Ecosystem Fund: 10% (developer and user incentives)

• Team: 5% (future expenses and rewards)

Ecosystem & Features

• “Zero code” integration via SSE proxy

• TEE-based security and remote attestation

• Blockchain registry ensures transparency and reputation

• Developer-focused revenue sharing and token incentives

• Up to 30% discounted access to LLMs and AI services

• Global crypto payments support

DeMCP aims to bridge AI and Web3 by creating a decentralized, secure, and developer-friendly MCP ecosystem.

Official Links

• Website
• Twitter
• Telegram
• Docs

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Team / Founders

The Gensyn founding team consists of scientists and engineers with extensive experience in AI research and distributed computing. They develop the protocol to improve the scalability and verifiability of deep learning models. The company initially operates as Gensyn Limited and functions fully remotely.

Founding Partners

Harry Grieve: Co-founder of Gensyn, an entrepreneur experienced in AI and blockchain.
Ben Fielding: Co-founder of Gensyn, specialized in deep learning and protocol architecture.

Investors & Key Partners

Gensyn has raised $50.6M across multiple rounds, supported by leading AI and crypto investors. The Seed round was led by Eden Block, and the Series A round by a16z Crypto. Notable partners include Protocol Labs (IPFS integration), Polkadot/Kusama (parachain), and a16z Crypto (strategic partnership).

Project Concept

Gensyn provides a network to train and run large-scale machine learning models without relying on centralized servers. Participants can contribute idle computing power, forming a global computational pool. This model accelerates decentralized AI development while reducing costs.

How It Works

The protocol consists of four layers:

• Consistent ML Execution: Ensures the same input produces the same output across all devices.

• Trustless Verification: Tasks are independently verified; errors are detected and resolved.

• Peer-to-Peer Communication: Workloads are efficiently distributed among devices.

• Decentralized Coordination: Participants are assigned, incentives distributed, and payments automated.

Participants are categorized into four roles: Submitters, Solvers, Verifiers, and Whistleblowers. Tasks are monitored through training and verification steps.

Governance

Post-TGE, Gensyn will be governed in a decentralized manner. Initially, technical development is managed by Gensyn Limited. Meanwhile, the Gensyn Foundation represents protocol interests and issues tokens. Governance is conducted via an elected council using on-chain proposals and referendums. Early council members are core team and early community members, gradually moving toward decentralization. Additionally, the foundation manages a treasury funded by a small percentage of task fees to support ongoing protocol and ecosystem development.

Roadmap

• Testnet: Core technology is tested; early participants are rewarded.

• Canarynet: Beta on Kusama parachain, using canary tokens for economic testing.

• Mainnet: Full-featured, public network on Polkadot parachain with mainnet token.

Token Info & Distribution

Token allocation and total supply are determined at TGE. Tokens are primarily used for network transactions and task payments. Gensyn supports distributed ML experiments through products like RL Swarm, BlockAssist, and Judge. The ecosystem focuses on research, community, and collaboration.

Key Features

• Decentralized and open-source

• Globally scalable ML computation

• Low-cost, transparent, and verifiable AI training

• Secure, economical Ethereum rollup-based network

• Automated incentives and payments for participants

Participant Roles

• Submitters: Provide tasks and pay for completed work.

• Solvers: Train models and generate proofs for verification.

• Verifiers: Duplicate and check Solvers’ proofs, linking training to deterministic computation.

• Whistleblowers: Audit Verifiers and can claim rewards for detecting errors.

Ecosystem

Gensyn serves as a foundational infrastructure for ML computation. Applications include CodeAssist, RL-Swarm, and SageMaker-like abstractions. Integrations support Polkadot parachains and IPFS. The community participates via Discord and GitHub, running nodes to contribute. The foundation funds research and data labs. Long-term, Gensyn aims for collective ownership of global AGI while monetizing idle compute to reduce carbon footprint.

Gensyn establishes a foundational layer for Web3 by making decentralized ML computation widely accessible. Consequently, the network supports scalable, collaborative AI model development, enabling humanity to collectively advance machine learning.

Official Links

• Website
• Twitter
• Discord

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UnifAI allows users to automate DeFi strategies such as liquidity provision, trading, and borrowing/lending without technical expertise. Users don’t need to stay online constantly or possess deep coding knowledge. For developers, it provides a modular and secure infrastructure to build, deploy, and scale agents across DeFi protocols. What sets UnifAI apart is that agents are not limited to predefined commands; they can discover, combine, and execute tools at runtime, making them adaptive and autonomous.

Team (Founders)

UnifAI Network was founded by experienced blockchain professionals:

• Yang “Sunny” He: Former Partner at HashKey Capital, which managed over $1B in assets. Sunny has invested in top Web3 projects like Aztec Network, Celestia, and WalletConnect.

• Yilun Zhang: Has a track record of building scalable blockchain infrastructures adopted by millions, providing UnifAI with a strong technical foundation.

Ecosystem Partnerships

UnifAI grows with a strong network of ecosystem partners sharing its Agentic Finance vision. Leading partners include OpenledgerHQ, Brevis, GoKiteAI, Meteora, and Pendle, among others, supporting technical infrastructure, on-chain data systems, and strategic integrations. These collaborations enable autonomous agents to operate efficiently and securely in the decentralized economy.

Governance

UAI token holders can participate in UnifAI Network governance, influencing protocol development and major decisions.

How UnifAI Works

Users create agents in plain English, which UnifAI translates into executable on-chain modules. One-click deployment is available across Ethereum, Solana, Avalanche, Base, BSC, and more, with UnifAI handling signing, gas, and cross-chain routing. Live dashboards track PnL, drawdown, and trade metrics. Users can publish their strategies, set performance fees, and earn royalties when others copy their modules. Referral commissions allow users to earn 10% from their referrals’ trading fees.

DeFi Integrations

UnifAI is integrated with key DeFi protocols across Solana and EVM-compatible chains, including PancakeSwap, Pendle, DriftProtocol, Meteora, 1inch, Polymarket, Uniswap, Jupiter, Kamino, Aave, and Venus. These integrations ensure seamless execution from signal to on-chain operations.

Key Features

• Strategy Automation: Create your own strategy or copy top-performing ones with a single click.

• UniQ – Your AI DeFi Companion: Provides insights, analytics, and strategy discovery.

• Autonomous Operation: Agents independently execute tasks and manage workflows.

• Unified API: Single access point to the entire DeFi tool ecosystem.

• Developer-Friendly SDK: Build custom AI agents with modular, secure APIs.

• Security-First Design: Private keys and sensitive data remain client-side.

• Model Compatibility: Works with any Large Language Model (LLM) supporting function calling.

UnifAI (UAI) Token Information

• Token Name: UnifAI (UAI)

• Type: ERC-20

• Total Supply: 1,000,000,000 UAI

• Max Supply: 1,000,000,000 UAI

• Circulating Supply: 239,000,000 UAI

UAI Token Use Cases

• AI Services & Tool Access: Payment for AI agents and strategy tools.

• Staking: Unlock privileges, discounts, and asset management services.

• Governance: Voting rights in ecosystem decisions.

• Incentives: Rewards for developers and contributors building agents or tools.

Roadmap (2024–2025)

• 2024: AI agent infrastructure, protocol integrations, marketplace beta.

• 2025:

  • April: Developer SDK and UniQ-Manus launch.

  • June: Expanded integrations across Solana, Avalanche, Base, BSC.

  • August: First AI Agent Trading Competition with Meteora and LP Army.

  • October: One-click copy trading and DriftProtocol integration.

  • October: Polymarket integration enabling automated on-chain strategies.

• On November 6, 2025, Binance will open UAI trading on Binance Alpha. Users will be able to trade UAI against major pairs and access the token on one of the world’s leading exchanges.

Official Links

• Website
• Twitter
• Telegram

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Project Vision

Recall aims to empower AI developers, curators, and enterprises to discover and coordinate high-performing AI agents. As a decentralized AI skill marketplace, it enables communities to fund, rank, and discover AI solutions tailored to their needs. This approach shifts from a “push” model, where AI solutions are provided to users, to a “pull” model, where communities define demand, developers compete, and performance visibility determines success.

Key Features

1. AgentRank: An on-chain staking and ranking mechanism where curators and developers stake tokens to signal performance and reputation. Underperforming agents may face penalties.
2. AI Arena: A platform for programmable benchmarks and competitions, such as data retrieval, medical imaging analysis, and trading, providing open and repeatable evaluations.
3. Datachain (Telemetry): A system for storing verifiable agent telemetry and outcomes, with plans for mainnet integration.
4. AgentKit / SDK: Tools for developers to connect their agents to the network and participate in competitions and AgentRank.

Governance

Recall Network’s governance is designed to evolve over time. Initially managed by the Recall Foundation, RECALL token holders will gradually gain voting rights on network governance, protocol upgrades, and incentive structures. Fees from various activities, including marketplace transactions and competitions, contribute to the protocol’s treasury, with a portion burned to promote deflation.

RECALL Token

Total Supply: 1,000,000,000 RECALL

Circulating Supply: 201,070,000 RECALL

Use Cases:

• Native Asset: Used for transaction fees and rewards within the network.
• Staking Participation: Required for accessing skill markets, funding, and curating AI agents.
• Market Security: Ensures honest evaluations and maintains the integrity of rankings.
• Governance: Enables token holders to participate in decision-making processes.
• 

Token Distribution

• Community & Ecosystem: 30%
• Early Investors: 29%
• Founding Contributors: 21%
• Airdrop: 10%
• Recall Foundation: 10%

Roadmap

• Q1 2025: Testnet launch and AgentKit SDK access.
• Q2 2025: Pilot competitions in AI Arena, security audits.
• Q3 2025: Integration with Human Passport and airdrop snapshot.
• Q4 2025: Token Generation Event (TGE) and community distributions.
• 2026: Mainnet launch, active Datachain usage, and cross-chain expansion (BNB Chain, Solana).

Ecosystem and Partnerships

Recall Network collaborates with various partners to enhance its ecosystem:

• Base (Ethereum L2): Provides scalability and security.
• Protocol Labs (Filecoin): Offers decentralized storage solutions.
• Axelar: Facilitates cross-chain interoperability.

Others: eliza.how, GaiaNet, Intuition Systems, io.net, IoTeX, Lilypad, Lit Protocol, MOR, Olas, PL Network, Rhinestone, Sapien, Spheron, AskSurf, Swarm Network, and Terminal3.

Official Links

• Website
• Twitter
• YouTube

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The $GAIN token serves as the native utility token for GriffinAI, facilitating platform payments, premium access, identity management, and agent operations. 

Team and Founders 

Led by Oliver Feldmeier, who previously founded one of Europe’s first regulated digital asset exchanges and has experience with a $100M NASDAQ IPO, GriffinAI combines a strong engineering team with expertise in both blockchain and AI development. 

Investors and Notable Partnerships 

GriffinAI collaborates with multiple key projects and institutions. Its inclusion in Binance Alpha projects strengthens its industry position. 

• BNB Chain 
• NEAR Protocol 
• Cardano Foundation 
• Arbitrum 
• 1inch 
• Uniswap 
• Bithumb Burrito Wallet 

These connections enhance the project’s credibility and real-world utility. 

Project Concept 

GriffinAI is a protocol designed to decentralize AI usage in Web3, making it accessible to developers, investors, and end users. 

How It Works

• Agent Builder (No-Code): Create autonomous trading and DeFi agents without coding. 
• Agent Playground: Test strategies under real market conditions. 
• Griffin ID: Connect wallets, verify identity, and receive notifications. 
• Dashboard: Manage agents, credits, and performance. 

Governance 

GriffinAI employs a decentralized, community-driven governance model. Users participate in decisions, influence agent performance, and vote on DAO proposals. Treasury management and other processes are automated for transparency and efficiency. 

Token Information 

• Token Name: GAIN 
• Total Supply: 1,000,000,000 GAIN 
• Max Supply: Fixed, no new issuance 
• Model: Tokens can be burned and converted into platform credits 

Distribution (per official TGE announcement): 

• Airdrop Season 1: 5,000,000 GAIN (0.5%) 
• Protocol Development: 50,000,000 GAIN (5%) 
• Liquidity & Listings: 180,000,000 GAIN (18%) 
• Ecosystem & Community: 150,000,000 GAIN (15%) – 24 months vesting 
• Foundation / Treasury: 150,000,000 GAIN (15%) – 24 months vesting 
• Private Sale: 225,000,000 GAIN (22.5%) – cliff & vesting 
• Node Operators & Staking Rewards: 90,000,000 GAIN (9%) – cliff & vesting 
• Team & Advisors: 150,000,000 GAIN (15%) – cliff & vesting 

$GAIN Utility 

$GAIN underpins the GriffinAI ecosystem and is used to access features and enable platform functions. It is not an investment instrument, does not offer equity, debt, revenue sharing, or index returns. 

Key Functions: 

• Premium Access: Unlock advanced agents and Agent Builder capacity. 
• Platform Credit Conversion: Burn $GAIN for AI services and compute credits. 
• Operator Collateral: Allowlisted operators stake $GAIN as performance collateral. 
• Creator Access: Mint agent access keys (NFTs) and use Griffin ID for engagement. 

GriffinAI Ecosystem 

The platform supports development of blockchain-compatible AI agents for both technical and non-technical users. 

• AI Playground: Test Research, News, Voice, Influencer, Image, and Llama agents. 
• Agent Builder: No-code tool for creating custom agents. 
• AI Marketplace: Identity and reputation-based marketplace where developers can share and monetize agents. 
• Active users in the Playground can earn points to prepare for upcoming GriffinAI airdrops. 

Roadmap 

2024: Launch of Agent Playground and first AI agents; platform v2.0 released; smart contract audits and test agents ongoing. 

2025: Launch Griffin ID on Layer 2, public testnet, full no-code Agent Builder, agent sharing, AI Agent Marketplace, integration of decentralized AI models, Griffin Network mainnet launch. 

FAQ – $GAIN and GriffinAI 

What is $GAIN?
Native utility token for GriffinAI, used entirely within the platform. 

What is $GAIN used for?
Provides premium access, can be converted to AI credits, and acts as collateral for operators and creators. 

Who runs GriffinAI?
Led by Oliver Feldmeier and an experienced engineering team. 

Which projects is GriffinAI integrated with?
BNB Chain, NEAR Protocol, Cardano Foundation, Arbitrum, 1inch, Uniswap, Bithumb Burrito Wallet. 

Total supply and token model?
Max supply: 1,000,000,000 GAIN (fixed). Can be burned for AI credits. 

Official Links 

• Website
• Twitter
• Telegram

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The core mission of Gata is to make AI more accessible, transparent, and fair for everyone. It aims to achieve this by building a decentralized AI data layer that is created, validated, and owned by the community. 

Project Idea 

Gata seeks to solve a critical challenge in AI development: most modern AI models rely on centralized platforms that use opaque and potentially biased datasets. This creates issues of data monopolization, security risks, and misaligned AI behavior with human values. 

Gata’s core project idea challenges this paradigm by introducing the DataAgent approach. Instead of relying on human labeling, Gata uses AI-driven automated data generation, combined with users contributing idle computational resources to crowdsource high-quality AI datasets. 

This model offers key benefits: 

• Breaking data monopolies: Prevents a few companies from controlling valuable datasets. 
• User control: Gives individuals more visibility and control over their personal data. 
• Higher data quality: Reduces AI errors caused by biased or low-quality data. 
• Economic incentives: Rewards users who contribute to AI development. 

What is Gata Token? 

The Gata token is the native cryptocurrency of the ecosystem. It powers data production processes, network governance, and economic transactions within the platform. Its features and incentive mechanisms form the foundation of the project’s economy. 

How Does the Project Work? 

Gata is developing two main products to build a decentralized AI data layer: All-in-One Chat and GPT-to-Earn. 

DataAgent and DVA (Data Validation Agent): 

• DataAgent: AI tools that aggregate computational resources and automate data generation. 
• DVA: The first DataAgent created by Gata. It evaluates the quality of image-caption pairs online, assigning a score between -1 and 1. These scores identify high-quality data points for advanced AI model training, reducing the need for slow and costly human labeling. 

All-in-One Chat: 

• A single interface combining models like ChatGPT, Claude, and Gemini. 
• When users ask a question, they receive three answers from different models. By selecting the preferred answer, users provide valuable human preference data. 
• This interaction naturally generates high-value data without extra effort, rewarding users with Gata points that can be redeemed for premium AI subscriptions. 

GPT-to-Earn: 

• A Chrome extension that allows ChatGPT users to voluntarily share conversation history in exchange for Gata points. 
• These datasets, containing real-world usage and human intent, are highly valuable for AI companies. 
• Unlike traditional setups where users receive no benefit, GPT-to-Earn provides fair rewards while helping AI firms access quality real-world data to narrow the gap with OpenAI. 

Team, Investors, and Partnerships 

Founding team: 

• Xudong Shen – Co-Founder 
• Leo Lee – Co-Founder 
• Claire – CPO (Chief Product Officer) 

Investors & Partners: Gata is backed by leading AI and Web3 investors, including: 

• YZi Labs 
• Gate Ventures 
• IDG Blockchain 
• Whirlpool 
• Multicoin Capital 
• MH Ventures 
• Anti Capital 
• Morphic Capital 
• V3V Ventures 
• Dewhales Capital 
• 071 Laboratories 
• Echo 

Notably, the involvement of Multicoin Capital, a highly reputable Web3 investor, highlights the project’s strong strategic backing. 

Roadmap & Governance 

Roadmap: 

• Current stage: Aggregating distributed computing through DataAgents and launching the first products (All-in-One Chat, GPT-to-Earn). 
• Future goals: Multi-node coordination, full tokenization integration, and community-driven governance. The long-term vision is to build a permissionless ecosystem that powers safe AI systems with clean, user-supported data. 

Governance: 

• Gata aims to establish a community-governed ecosystem where token holders will eventually participate in decision-making. 
• While governance details are not yet disclosed, decentralization will increase as the project matures. 

Timeline: 

• H2 2025: Launch of the decentralized inference network with optimized node performance and prototypes for large models. 
• Early 2026: Launch of the decentralized AI training network, scaling globally, and introducing more decentralized governance. 

Token Use Cases & Distribution 

Use Cases: 

• Rewards: Users earn tokens for contributing data (preference data, chat histories) or sharing computational resources. 
• Payments: Used as a payment method for platform services (e.g., premium AI subscriptions). 
• Governance: Future voting rights on key project decisions. 
• Staking: Locking tokens for securing the network and earning additional rewards. 

Token Distribution

• Airdrop: 6% 
• Ecosystem Development: 39.7% 
• Team & Advisors: 21% 
• Exchange & Marketing: 13.5% 
• Foundation: 10.01% 
• Investors: 9.79% 

Ecosystem & Features 

Gata’s ecosystem connects users, AI developers, data providers, and node operators in a collaborative structure. 

Key Features: 

• Decentralized AI Infrastructure: Reduces reliance on centralized data centers. 
• Crowdsourced Data Generation: Builds community-driven, high-quality datasets. 
• Incentive Mechanisms: Encourages user contributions with All-in-One Chat and GPT-to-Earn. 
• Transparency & Trust: Returns data ownership to users. 
• Data Quality: Uses DVA and similar tools for automated data validation. 

By merging decentralized finance (DeFi), Web3, and AI technologies, Gata positions itself as an ambitious project building the AI infrastructure of the future.

Official Links

• Website
• Twitter
• Discord
• Telegram

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