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, Avalanche, Aethir, Arbitrum, and XAI Games.
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. The project has a suite of projects, all 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. The products include:
Visual Learning Model (VLM): Adaptive AI Training
These are models designed to learn from real-world visual gameplay rather than from text, as is the case with traditional large language models (LLM). They can analyze, strategize, and adapt dynamically, making 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.
ERC-** Agent Standard
iAgent is also creating a new ERC asset standard that will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets to enable true ownership, trading, and cross-chain utilization without centralized control, as well as enhance trust and transparency through provable authenticity and ownership history.
AI Agent Marketplace
The marketplace enables seamless AI model deployment, trading, and monetization and is at the center of the iAgent decentralized ecosystem. 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
This serves as a platform where developers thrive, providing them with tools such as SDKs and APIs to build and optimize AI models. It also offers a trustless AI validation framework that leverages on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking.
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 aDecentralized 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, Avalanche, Aethir, Arbitrum, and XAI Games.
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. The project has a suite of projects, all 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. The products include:
Visual Learning Model (VLM): Adaptive AI Training
These are models designed to learn from real-world visual gameplay rather than from text, as is the case with traditional large language models (LLM). They can analyze, strategize, and adapt dynamically, making 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.
ERC-** Agent Standard
iAgent is also creating a new ERC asset standard that will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets to enable true ownership, trading, and cross-chain utilization without centralized control, as well as enhance trust and transparency through provable authenticity and ownership history.
AI Agent Marketplace
The marketplace enables seamless AI model deployment, trading, and monetization and is at the center of the iAgent decentralized ecosystem. 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
This serves as a platform where developers thrive, providing them with tools such as SDKs and APIs to build and optimize AI models. It also offers a trustless AI validation framework that leverages on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking.
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 aDecentralized 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, Avalanche, Aethir, Arbitrum, and XAI Games.
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. The project has a suite of projects, all 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. The products include:
Visual Learning Model (VLM): Adaptive AI Training
These are models designed to learn from real-world visual gameplay rather than from text, as is the case with traditional large language models (LLM). They can analyze, strategize, and adapt dynamically, making 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.
ERC-** Agent Standard
iAgent is also creating a new ERC asset standard that will bring AI Agents on-chain as verifiable, secure, and interoperable digital assets to enable true ownership, trading, and cross-chain utilization without centralized control, as well as enhance trust and transparency through provable authenticity and ownership history.
AI Agent Marketplace
The marketplace enables seamless AI model deployment, trading, and monetization and is at the center of the iAgent decentralized ecosystem. 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
This serves as a platform where developers thrive, providing them with tools such as SDKs and APIs to build and optimize AI models. It also offers a trustless AI validation framework that leverages on-chain verification nodes, cross-DePIN compute integration, and AI execution tracking.
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
