VANCOUVER, Canada, March 18th, 2025/Chainwire/--The artificial intelligence landscape is evolving. Traditional AI models remain centralized, relying on static text data and corporate control. iAgent is introducing a decentralized AI framework where AI agents are trained, owned, and monetized on-chain using real-world visual data. iAgent iAgent Backed by a recent $3 million investment, iAgent has forged several strategic partnerships with leading projects such as Base, LayerZero, Avalanche, Aethir, Arbitrum, and XAI Games. With over 700,000 users on its AGNTxp platform, iAgent is at the forefront of AI x Gaming x DePIN innovation. Now, with TGE live, iAgent is laying the foundation for AI Agents to become a new digital asset that can be trained, validated, and exchanged transparently. "AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations." — Jamie Batzorig, Co-Founder of iAgent. "AI should be decentralized, transparent, and monetizable. iAgent is ensuring AI models belong to those who train them, not corporations." — Jamie Batzorig, Co-Founder of iAgent. iAgent’s Product Hub: Powering the AI Economy iAgent’s ecosystem consists of a suite of interconnected products aimed at supporting AI development, deployment, and monetization through a decentralized framework. Each component is designed to enhance the verifiability, scalability, and accessibility of AI models across various ecosystems. Visual Learning Model (VLM): Adaptive AI Training Unlike traditional AI that relies on text-based training (LLMs), iAgent’s Visual Learning Models (VLMs) enable AI agents to learn from real-world gameplay footage. This approach allows AI to analyze, strategize, and adapt dynamically, making them more intelligent and applicable in real-world scenarios. iAgent’s VLM-powered AI utilizes real-player interactions to enhance its adaptability, enabling continuous optimization for performance in competitive gaming environments and other applications: Current live for Counter Strike 2, Off the Grid & Citizen Conflict. Players have already contributed 25 TB+ gameplay data. Over 10,000+ hours of gameplay footage recorded Players have already contributed 25 TB+ gameplay data. Over 10,000+ hours of gameplay footage recorded ERC-** Agent Standard: A New AI Digital Asset Class iAgent’s ERC-** standard will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets. This aims to enable true ownership, trading, and cross-chain utilization without centralized control. While enhancing trust and transparency through provable authenticity and ownership history. AI Agent Marketplace: The Open AI Economy The AI Agent Marketplace serves as the foundation of iAgent’s decentralized ecosystem, enabling seamless AI model deployment, trading, and monetization. Developers can list AI-powered agents for rental or sale, while businesses and game studios can purchase or integrate AI models tailored to their needs. iAgent DEV Hub: Decentralized AI Infrastructure The iAgent DEV Hub acts as the backbone of the protocol, offering developers and AI researchers a comprehensive suite of tools, SDKs, and APIs to build and optimize AI models. It provides a trustless AI validation framework, leveraging on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking. AI in Gaming: The Next Evolution of Intelligent Agents Gaming offers high-quality, labeled data, making it a suitable environment for training advanced AI models. iAgent is introducing adaptive AI agents to gaming, facilitating: AI-powered game assistants – AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant. Smart NPCs that evolve dynamically – NPCs in RPGs like World of Warcraft that learn and adapt to a player’s choices, creating truly immersive experiences. AI anti-cheat and security systems – AI in games like CS2 that detects aimbots and wallhacks in real-time, ensuring fair gameplay. Predictive AI for in-game economies – AI models that track in-game trends, helping players optimize asset trading in games like Diablo 4. AI-powered game assistants – AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant. Smart NPCs that evolve dynamically – NPCs in RPGs like World of Warcraft that learn and adapt to a player’s choices, creating truly immersive experiences. AI anti-cheat and security systems – AI in games like CS2 that detects aimbots and wallhacks in real-time, ensuring fair gameplay. Predictive AI for in-game economies – AI models that track in-game trends, helping players optimize asset trading in games like Diablo 4. iAgent’s decentralized AI infrastructure will expand beyond gaming, creating an open AI economy applicable across industries. "Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications." — MHL Solutions, iAgent Advisor. "Gaming is the first major use case, but our AI infrastructure will extend to multiple sectors. AI models will be owned, monetized, and deployed across various real-world applications." — MHL Solutions, iAgent Advisor. Roadmap: From Foundation to AI Economy 2023-2024: Establishing the iAgent Protocol Development of Visual Learning Models (VLMs) and AI ownership framework. AGNTxp launch, onboarding 700K+ users and generating 75K+ AI identities. AI data collection platform, accumulating 25+ TB+ gameplay data. Genesis Node Sale to decentralize AI model validation and verification. Development of Visual Learning Models (VLMs) and AI ownership framework. AGNTxp launch, onboarding 700K+ users and generating 75K+ AI identities. AI data collection platform, accumulating 25+ TB+ gameplay data. Genesis Node Sale to decentralize AI model validation and verification. 2025: Scaling AI Deployment & Monetization March 2025: TGE live, launching $AGNT as the core AI economy token. On-chain governance rollout, enabling staking & liquid staking. TGE live, launching $AGNT as the core AI economy token. On-chain governance rollout, enabling staking & liquid staking. April 2025: AI Agent Marketplace launch, enabling AI deployment, trading, and rental. ERC-** Standard proposal, formalizing AI ownership and validation. AI Agent Marketplace launch, enabling AI deployment, trading, and rental. ERC-** Standard proposal, formalizing AI ownership and validation. May 2025: AGNT-Hub powered by $AGNT. AGNT-Hub powered by $AGNT. June 2025: AI Agent Explorer & Analytics Platform, enabling transparent AI tracking. AI Agent Explorer & Analytics Platform, enabling transparent AI tracking. Q3 2025: Integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem. Visual Data Monetization framework, allowing users to sell gameplay data to train AI. Integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem. Visual Data Monetization framework, allowing users to sell gameplay data to train AI. Q4 2025: Protocol Testnet Launch, deploying decentralized AI compute infrastructure. Mainnet launch, establishing the fully operational iAgent Protocol. Protocol Testnet Launch, deploying decentralized AI compute infrastructure. Mainnet launch, establishing the fully operational iAgent Protocol. AGNT: Advancing Practical Applications in AI and Blockchain As the core of the iAgent ecosystem, AGNT enables: AI Training & Trading – AI models can be owned, sold, and deployed through the marketplace. Compute & Staking Rewards – GPU node operators are incentivized for providing AI training power. Visual Data Monetization – Users can get AGNT by contributing high-quality labeled data. Governance Participation – AGNT holders shape the evolution of iAgent’s decentralized AI infrastructure. AI Training & Trading – AI models can be owned, sold, and deployed through the marketplace. Compute & Staking Rewards – GPU node operators are incentivized for providing AI training power. Visual Data Monetization – Users can get AGNT by contributing high-quality labeled data. Governance Participation – AGNT holders shape the evolution of iAgent’s decentralized AI infrastructure. AI is Becoming an Asset Class, and iAgent is Leading the Way. The AI, gaming, and DePIN industry is set to grow from $553.7 billion today to $2.8 trillion by 2030. iAgent aims to build the infrastructure for this growth. About iAgent Protocol iAgent’s Visual Learning Model allows gamers to train custom AI agents from their gameplay footage, powered by decentralized computing. By leveraging blockchain technology, it introduces a new digital asset class, enabling users to Create, Own, and Monetize their AI agents in gaming. iAgent’s iAgent’s Founded by a powerhouse team of industry veterans and innovators, iAgent's leadership team includes eight C-level executives with a combined 20+ years of experience at Fortune 500 companies, driving strategic growth and innovation. On the tech front, the team comprises 12 top-tier AI and blockchain engineers, bringing expertise from global giants like Bosch, Meta, Airbus, and Samsung. The best minds shaping the future of AI x Gaming x DePIN together. Website | Twitter | Telegram | Discord | Whitepaper | Linktree Website Website Twitter Twitter Telegram Telegram Discord Discord Whitepaper Whitepaper Linktree Linktree Contact Co-Founder & CEO Jamie Batzorig iAgent Corporation jamie@iagentpro.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here
