iAgent is revolutionizing the traditional AI landscape by introducing a decentralized framework that utilizes real-world visual data for training AI agents. Backed by a $3 million investment, iAgent has formed strategic partnerships and boasts over 700,000 users on its AGNTxp platform. The company's innovative Visual Learning Models (VLMs) allow AI to learn from actual gameplay footage, enhancing adaptability and intelligence. This transition aims to ensure that AI models remain owned by their trainers rather than corporations, promoting transparency and monetization in the AI economy.
"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 ecosystem consists of a suite of interconnected products aimed at supporting AI development, deployment, and monetization through a decentralized framework.
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.
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.
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