Introducing iAgent: The Decentralized Framework for Training, Owning, and Monetizing AI Agents

The artificial intelligence landscape is evolving. Traditional AI models remain centralized, relying on static text data and corporate control.

Vancouver, Canada, March 18th, 2025, Chainwire

The artificial intelligence landscape is evolving. Traditional AI models remain centralized, reliant 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.

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.

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:

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:

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.

Roadmap: From foundation to AI eeconomy

2023-2024: Establishing the iAgent protocol

2025: Scaling AI deployment & monetization

March 2025: TGE

April 2025: First game integration

May 2025: Introducing V2 of the protocol

June 2025: Expanding to another major blockchain

Q3 2025: Launching the AI Agent marketplace

Q4 2025: Expanding to another DePIN