iAgent Protocol Unveils Revolutionary Human-Trained AI-Agent from Visual Data

iAgent protocol introduced an innovative AI-agent as digital asset class at Malaysia Blockchain Week in Kuala Lumpur and Asia Blockchain Summit in Taiwan this month, allowing gamers around the world to create, train, trade, and monetize personalized game AI-agents that take the NPCs of the past to a whole new level.

iAgent Protocol, a groundbreaking Web3 gaming venture, unveiled its revolutionary human-trained AI-Agent technology at Malaysia Blockchain Week in Kuala Lumpur and Asia Blockchain Summit in Taiwan. This cutting-edge innovation empowers gamers worldwide to create, train, trade, and monetize their personalized game AI-Agents, heralding a new era for gaming.

iAgent Protocol has achieved a remarkable feat by developing the world's first AI-Agent trained on pro-players' gameplay footage in Counter-Strike, paving the way for a new digital gaming asset class. Attendees at both MBW and ABS were treated to an exclusive preview of this groundbreaking technology.

On August 1st and 6th, iAgent Protocol showcased its cutting-edge technology, which utilizes AI Modules to train gaming characters based on gameplay footage. Their presentation culminated in the unveiling of an iAgent trained from the video footage of Flaxciz, a professional CS player from Team Secret.

iAgents are not merely designed to enhance the gaming experience but also to revolutionize the gaming industry. Any user can now train an AI-Agent with their gameplay footage and subsequently trade, rent, and monetize their personal game agents. iAgent opens up a world of possibilities, catering to everyone from casual gamers seeking to amplify their fun to studios wishing to integrate world-class human-trained AI characters into their games.

Through a collaboration with Alliance, a global esports powerhouse at the forefront of the world's most popular games, and Team Secret, a professional esports organization, iAgent was able to train a character based on the gameplay footage of Flaxciz.

Jamie Batzorig, CEO of iAgent and keynote speaker, unveiled the human-trained iAgent for the first to the world. The development team partnered with AethirCloud, the project behind the scalable decentralized cloud infrastructure for Gaming and AI. Powered by DePIN, iAgent protocol utilizes underutilized GPU resources from around the world, transforming them into a distributed GPU network dedicated to training AI-agents.

iAgent is proudly supported by GEDA, a web3 esports ecosystem that is onboarding esports enthusiasts, and Emerge group, a gaming marketing agency that has worked with well-known names like Valorant, Mobile Legends, and Riot Games.

The visionaries at iAgent are driven by a passion to democratize gaming by establishing AI-Agents as digital assets and empowering all gamers to train their own Agents. These human-trained AI-Agents embody players' gaming strategies, styles, and creativity, ultimately becoming a digital representation of their gaming persona.

By creating the world's first AI-Agent trained on a pro esports player footage, iAgent is poised to redefine the landscape and future of gaming. The tools used to create this groundbreaking digital asset and gaming character will soon be accessible to everyone in the gaming ecosystem. A player only needs gameplay footage to develop their own AI-agent. With the first-of-its-kind AI_NFT standard (OFT), the creators will have complete ownership over their AI-agents operating on multiple chains thanks to the innovative technology developed by LayerZero Labs.

About iAgent

iAgent protocol enables gamers worldwide to train their own AI agents to mimic the players behavior from gameplay footage, powered by DePIN, decentralized computing, thereby creating a new digital asset class on the blockchain.

To stay up-to-date on iAgent's latest developments, follow them on X, and enable notifications.

Press contact: Sarah@tokenpr.com

Source: iAgent Protocol

Los Angeles, CA

Disclaimer:

This press release may contain forward-looking statements. Forward-looking statements describe future expectations, plans, results, or strategies (including product offerings, regulatory plans and business plans) and may change without notice. You are cautioned that such statements are subject to a multitude of risks and uncertainties that could cause future circumstances, events, or results to differ materially from those projected in the forward-looking statements, including the risks that actual results may differ materially from those projected in the forward-looking statements.

Contact

CEOJamie BalzorigiAgent Protocoljamie@iagentpro.com

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