<strong>Vancouver, Canada, March 18th, 2025, Chainwire</strong>

The artificial intelligence landscape is evolving. Traditional AI models remain centralized, relying on static text data and corporate control. <a href="https://www.iagentpro.com/" target="_blank" rel="nofollow noopener">iAgent </a>is introducing a decentralized AI framework where AI agents are trained, owned, and monetized on-chain using real-world visual data.
<p class="ql-align-justify">Backed by a recent <strong>$3 million investment</strong>, iAgent has forged several strategic partnerships with leading projects such as <strong>Base, LayerZero, Avalanche, Aethir, Arbitrum, and XAI Games</strong>. With <strong>over 700,000 users</strong> on its AGNTxp platform, iAgent is at the forefront of AI x Gaming x DePIN innovation.</p>
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.
<blockquote>"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.</blockquote>
<h3>iAgent’s Product Hub: Powering the AI Economy</h3>
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:

<img src="https://www.cryptoknowmics.com/news/wp-content/uploads/2025/03/image_33_1742238998OjQCCelbfu.jpg" />
<ul>
 	<li>Current live for <strong>Counter Strike 2, Off the Grid &amp; Citizen Conflict. </strong></li>
 	<li>Players have already contributed <strong>25 TB+</strong> gameplay data.</li>
 	<li>Over<strong> 10,000+ hours</strong> of gameplay footage recorded</li>
</ul>
<strong>ERC-** Agent Standard: A New AI Digital Asset Class</strong>

<strong>iAgent’s ERC-**</strong> 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.
<h3>AI Agent Marketplace: The Open AI Economy</h3>
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.
<h3>iAgent DEV Hub: Decentralized AI Infrastructure</h3>
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.
<h3>AI in Gaming: The Next Evolution of Intelligent Agents</h3>
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:
<ul>
 	<li>AI-powered game assistants – AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant.</li>
 	<li>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.</li>
 	<li>AI anti-cheat and security systems – AI in games like CS2 that detects aimbots and wallhacks in real-time, ensuring fair gameplay.</li>
 	<li>Predictive AI for in-game economies – AI models that track in-game trends, helping players optimize asset trading in games like Diablo 4.</li>
</ul>
iAgent’s decentralized AI infrastructure will expand beyond gaming, creating an open AI economy applicable across industries.
<blockquote>"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.</blockquote>
<h2>Roadmap: From Foundation to AI Economy</h2>
<strong>2023-2024: Establishing the iAgent Protocol</strong>
<ul>
 	<li>Development of Visual Learning Models (VLMs) and AI ownership framework.</li>
 	<li>AGNTxp launch, onboarding 700K+ users and generating 75K+ AI identities.</li>
 	<li>AI data collection platform, accumulating 25+ TB+ gameplay data.</li>
 	<li>Genesis Node Sale to decentralize AI model validation and verification.</li>
</ul>
<h2>2025: Scaling AI Deployment &amp; Monetization</h2>
<strong>March 2025:</strong>
<ul>
 	<li>TGE live, launching $AGNT as the core AI economy token.</li>
 	<li>On-chain governance rollout, enabling staking &amp; liquid staking.</li>
</ul>
<strong>April 2025:</strong>
<ul>
 	<li>AI Agent Marketplace launch, enabling AI deployment, trading, and rental.</li>
 	<li>ERC-** Standard proposal, formalizing AI ownership and validation.</li>
</ul>
<strong>May 2025:</strong>
<ul>
 	<li>AGNT-Hub powered by $AGNT.</li>
</ul>
<strong>June 2025:</strong>
<ul>
 	<li>AI Agent Explorer &amp; Analytics Platform, enabling transparent AI tracking.</li>
</ul>
<h3>Q3 2025:</h3>
<ul>
 	<li>Integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem.</li>
 	<li>Visual Data Monetization framework, allowing users to sell gameplay data to train AI.</li>
</ul>
<h3>Q4 2025:</h3>
<ul>
 	<li>Protocol Testnet Launch, deploying decentralized AI compute infrastructure.</li>
 	<li>Mainnet launch, establishing the fully operational iAgent Protocol.</li>
</ul>
<h3>AGNT: Advancing Practical Applications in AI and Blockchain</h3>
<img src="https://www.cryptoknowmics.com/news/wp-content/uploads/2025/03/Dextools_AGNT_Banner_17422390283092H5EPeD.jpg" />

As the core of the iAgent ecosystem, AGNT enables:
<ul>
 	<li>AI Training &amp; Trading – AI models can be owned, sold, and deployed through the marketplace.</li>
 	<li>Compute &amp; Staking Rewards – GPU node operators are incentivized for providing AI training power.</li>
 	<li>Visual Data Monetization – Users can get AGNT by contributing high-quality labeled data.</li>
 	<li>Governance Participation – AGNT holders shape the evolution of iAgent’s decentralized AI infrastructure.</li>
</ul>
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.
<h2>About iAgent Protocol</h2>
<a href="https://www.iagentpro.com/" target="_blank" rel="nofollow noopener">iAgent’s </a>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.

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.

<a href="https://www.iagentpro.com/" target="_blank" rel="nofollow noopener"><u>Website</u></a> | <a href="https://x.com/iAgentProtocol" target="_blank" rel="nofollow noopener"><u>Twitter</u></a> | <a href="https://t.me/iagentofficial" target="_blank" rel="nofollow noopener">Telegram</a> | <a href="https://discord.com/invite/iagentprotocol" target="_blank" rel="nofollow noopener"><u>Discord</u></a> | <a href="https://docs.iagentpro.com/" target="_blank" rel="nofollow noopener"><u>Whitepaper</u></a> | <a href="https://linktr.ee/iagent" target="_blank" rel="nofollow noopener"><u>Linktree</u></a>

&nbsp;
<h5>Contact</h5>
<strong>Co-Founder &amp; CEO</strong>
<strong>Jamie Batzorig</strong>
<strong>iAgent Corporation</strong>
<strong>jamie@iagentpro.com</strong>

iAgent Secures $3M, Launches $AGNT, and will Introduce a New ERC-** Standard for AI Agents

iAgent’s Visual Learning Model allows gamers to train custom AI agents from their gameplay footage, powered by decentralized computing.

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iAgent Secures $3M, Launches $AGNT, and will Introduce a New ERC-** Standard for AI Agents

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