Decentralized AI network iAgent has successfully raised $3 million in funding and launched its native token, $AGNT

The project's next focus is the creation of a new ERC standard. The project has also forged several strategic partnerships with leading projects such as Base, LayerZero

In today’s rapidly evolving technological landscape, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing numerous aspects of our lives. From the way we interact with devices to the groundbreaking innovations in various industries, AI is leaving an indelible mark. As this technology continues to develop at a breakneck pace, we are on the cusp of a new era—one where AI is not confined to centralized institutions but rather accessible and usable by anyone, anywhere.

In this endeavor, decentralized AI network iAgent is paving the way for a future where AI Agents are recognized as a new form of digital asset that can be seamlessly trained, validated, and exchanged.

After successfully closing a $3 million funding round and launching its native token, $AGNT, iAgent is now focused on introducing a new ERC asset standard. This move will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets.

The initiative will enable true ownership, trading, and cross-chain utilization of AI Agents without centralized control. It will also enhance trust and transparency through provable authenticity and ownership history.

iAgent has also announced several strategic partnerships with leading projects such as Base, LayerZero, Avalanche, Aethir, Arbitrum, and XAI Games. These collaborations will facilitate the integration of iAgent’s decentralized AI infrastructure with broader blockchain and Web3 ecosystems.

Together, they will drive the development of scalable and interoperable solutions for a decentralized AI future.

These partnerships will facilitate the integration of iAgent’s decentralized AI infrastructure with broader blockchain and Web3 ecosystems, paving the way for scalable and interoperable solutions.

A core focus of iAgent is the development of Visual Learning Models (VLMs), which are designed to learn from real-world visual gameplay. Unlike traditional large language models (LLMs) that process text, VLM models can analyze, strategize, and adapt dynamically.

This makes them more intelligent and applicable in real-world scenarios. The VLM-powered AI uses real-player interactions to enhance its adaptability, enabling continuous optimization for performance in competitive gaming environments and other applications.

This is currently live for Counter Strike 2, Off the Grid & Citizen Conflict, and players have already contributed 25 TB+ gameplay data with over 10,000+ hours of gameplay footage recorded.

In addition to its VLM technology, iAgent is developing a comprehensive suite of products tailored towards supporting AI development, deployment, and monetization through a decentralized framework.

The goal is to enhance the verifiability, scalability, and accessibility of AI models across various ecosystems.

These products include:

* Visual Learning Model (VLM): Adaptive AI Training

* ERC-** Agent Standard

* AI Agent Marketplace

* iAgent DEV Hub

* AI in Gaming

As gaming is an important tool for training VLM-based models, iAgent is introducing adaptive AI agents to gaming to facilitate AI-powered game assistants, Smart NPCs that evolve dynamically, AI anti-cheat and security systems, and Predictive AI for in-game economies.

AI-powered assistants are AI agents that analyze in-game movements, provide real-time coaching and improve player performance in FPS games like Valorant. Amart NPCs are 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 detect aimbots and wallhacks in games like CS2 in real-time, ensuring fair gameplay. Also, predictive AI for in-game economies track in-game trends, helping players optimize asset trading in games like Diablo 4.

Beyond gaming, iAgent AI intends to create an open AI economy that is applicable across industries. MHL Solutions, an iAgent Advisor said:

“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.”

iAgent has the following roadmap that it intends to follow strictly in unveiling the new AI economy. The project is currently at the “Scaling AI Deployment & Monetization” phase, which is as follows:

First is the TGE live launch, as well as the launching of $AGNT as the core AI economy token. The project will also roll out on-chain governance and enable staking & liquid staking.

In April 2025, the AI Agent Marketplace will launch, enabling AI deployment, trading, and rental, and later on the ERC-** Standard proposal, formalizing AI ownership and validation. Later in May, the AGNT-Hub powered by $AGNT will also go live.

The AI Agent Explorer & Analytics Platform will be launched in June 2025, enabling transparent AI tracking. Q3 2025 is marked for the integration of VLM-powered AI into partner games in the AAA and indie gaming ecosystem, as well as the visual Data Monetization framework, allowing users to sell gameplay