IAGENT secures $ 3M, launches $ AGNT and introduces a new ERC-** standard to AI agent.

March 18, 2025, Canada, Vancouver, Chain Wire

The artificial intelligence environment is developing. Traditional AI models rely on static text data and corporate control to maintain a centralized state. IAGENT uses actual visual data to introduce a decentralized AI framework for AI agents to generate training, ownership and profit.

It is supported recently $ 3 million investmentIAGENT Base, Layerzero, Avalanche, Aethir, Arbitrum and XAI Games. With More than 700,000 users On the AGNTXP platform, IAGENT is at the forefront of AI X GAMING X DEPINNNOVATION.

Along with TGE Live, IAGENT is now laying the foundation for AI agents to be a new digital asset that can be educated, verified and transparently exchanged.

“AI must be distributed, transparent, and profitable. IAGENT guarantees that the AI ​​model belongs to those who train, not companies.” -Jamie Batzorig, co -founder of IAGENT.

IAGENT’s Product Hub: Strengthening the AI ​​economy

The ecosystem of IAGENT consists of an interconnected product line to support AI development, deployment and profit generation through distributed frameworks. Each component is designed to improve the verification of the AI ​​model in various ecosystems.

Visual Learning Model (VLM): Adaptive AI Education

Unlike traditional AI that depends on IAGENT’s Visual Learning Models (VLM), the VISING Learnge model (VLMS) of IAGENT allows the AI ​​agent to learn from the actual gameplay video. This approach allows the AI ​​to dynamically analyze, strategy and adjust, so that it can be more intelligent and applied in real scenarios.

IAGENT’s VLM -based AI can use actual player interactions to improve adaptability, allowing you to continue to optimize performance in competitive game environments and other applications.

• Current live Counter Strike 2, Grid and Citizen Conflict.
• The player has already contributed 25 TB+ Gameplay data.
• above 10,000 hours or more Recorded gameplay video

ERC-** Agent Standard: New AI Digital Asset Class

IAGENT ERC-** The standard brings the AI ​​agent to the verification, safe and interoperable digital assets. This aims to enable true ownership, transactions and cross chains without centralized control. It improves trust and transparency through proven authenticity and ownership history.

AI Agent Market Place: Open AI Economy

The AI ​​Agent Market Place serves as the basis of the distributed ecosystem of IAGENT, enabling smooth AI model distribution, transactions and profit generations. Developers can list the AI ​​-based agents for lease or sales, and business and game studios can purchase or integrate the AI ​​model that meets their needs.

IAGENT Dev Hub: Distributed AI Infrastructure

The IAGENT Dev Hub serves as the backbone of the protocol and provides comprehensive tools, SDKs and APIs to developers and AI researchers to build and optimize the AI ​​model. By providing untrusted AI verification frameworks, we use chain verification nodes, cross defin computing integration and AI execution tracking.

AI in the game: Next evolution of intelligent agent

The game provides data with high quality labels, making it a suitable environment for teaching advanced AI models. IAGENT introduces and promotes adaptive AI agents to the game.

• AI-based game assistant-AI agent that analyzes in-game movements, provides real-time coaching, and improves player performance in FPS games such as Valorant.
• Dynamically evolving smart NPC -NPC of RPGs, such as World of Warcraft, who learns and adapts athletes’ choices, truly creates an immersive experience.
• AI in the same game, such as CS2, which prevents AI and security systems-AIMBOTS and WALLHACKS in real time to ensure fair gameplay.
• The AI ​​model that tracks the forecast AI-game trend of the economy in the game helps players optimize asset transactions in games like Diablo 4.

IAGENT’s distributed AI infrastructure will expand beyond games to create an open AI economy that can be applied throughout the industry.

“The game is the first major case of use, but the AI ​​infrastructure will expand to several sectors. The AI ​​model will be owned and distributed over various actual applications.” -MHL solution, IAGENT Advisor.

Roadmap: From the basics to the AI ​​economy

2023-2024: IAGENT protocol settings

• Developed VLM (Visual Learning Model) and AI ownership framework.
• AGNTXP launch, 700K+ user on boarding and 75K+ AI ID.
• AI data collection platform, more than 25 TB+ gameplay data accumulation.
• Genesis node sales to distribute AI model verification and verification.

2025: AI deployment and profit generation scaling

March 2025:

• TGE LIVE launched $ AGNT with a core AI economy token.
• Hot chain governance rollout, staying and liquid staying available.

April 2025:

• AI Agent Marketplace launch, AI deployment, transaction and lease.
• ERC-** Standard proposal, AI ownership and verification formalization.

May 2025:

• Agnt-Hub run as $ int.

June 2025:

• AI Agent Explorer and Analytic Platform enables transparent AI tracking.

Q3 2025:

• Integrate VLM -based AI into partner games of AAA and INDIE GAMING ECOSYSTEM.
• Visual data revenue generation framework, users can sell gameplay data to train AI.

Q4 2025:

• Protocol TestNet Start, distributed distributed AI computing infrastructure.
• Mainnet launch, set up a completely working IAGENT protocol.

AGNT: Actual application development of AI and blockchain



At the core of the IAGENT ecosystem, AGNT enables:

• AI training and transactions -AI models can be owned, sold and distributed through the market.
• Compute & Stacking Rewards -GPU node operators offer incentives to provide AI education.
• Visual data revenue creation-The user can contribute to the data with high quality labels to get AGNT.
• Governance Participation -AGNT holder forms the evolution of the distributed AI infrastructure of IAGENT.

AI is becoming an asset class and iagent is leading the way. AI, Gaming and Depin INDUSTRY will grow from $ 553.7 billion to $ 2.8 trillion today by 2030. IAGENT aims to build an infrastructure of this growth.

About IAGENT protocols

The visual learning model of IAGENT allows gamers to train customized AI agents in gameplay videos that run by distributed computing. By utilizing blockchain technology, a new digital asset class can be introduced to create an AI agent in the game, generate ownership and profit.

In the leadership team of IAGENT, eight C -level executives founded by the powerful team of industry -oriented soldiers and innovators have led strategic growth and innovation by gaining more than 20 years of experience in the 500 Fortune 500 companies.

The team consists of 12 best AI and blockchain engineers, offering expertise of global giants such as BOSCH, Meta, Airbus and Samsung. The best heart that forms the future of AI x Gaming X depin.

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Contact

Co -founder and CEO
Jamie Community
IAGENT Corporation
jamie@iagentpro.com