Los Angeles, CA, August 14th, 2024,
Chainwire
![](https://app.chainwire.org/storage/uploads/users/Jamie_Keynote_ABS_1723537737javP9KXB67.PNG)
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 has developed the world’s first AI-agent trained
from pro-players’ gameplay footage in Counter-Strike. This new AI asset class has the
potential to spur a renaissance of innovation and growth within the
gaming industry.
![](https://app.chainwire.org/storage/uploads/users/iAgent_AI-agent_Flaxciz_1723537721FAmE3h3bDz.jpg)
At both MBW and ABS, attendees received a first look at the
revolutionary new class of digital gaming assets. iAgent Protocol
presented new technology on August 1st and 6th, which uses AI
Modules to train gaming characters based on gameplay footage. Their
presentation featured an iAgent trained from the video footage of
Flaxciz, a professional CS player from Team Secret.
iAgents are here to not only rehaul the outdated NPCs of the
gaming world, but also to empower all gamers within the ecosystem.
Any user can train an AI-agent with the gameplay footage and then
trade, rent, and monetize their personal game agents. Whether it's
a casual gamer playing with friends, or an entire studio wanting to
add world-class human-trained AI characters to their game, iAgent
offers new solutions and possibilities.
In collaboration with Alliance, a global esports powerhouse competing 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 time. The
development team worked with AethirCloud, the project building scalable
decentralized cloud infrastructure for Gaming and AI. Powered by
DePIN, iAgent protocol leverages underutilized GPU resources from
around the world and transforms them into a distributed GPU network
dedicated to training AI-agents.
iAgent is supported by GEDA, a web3 esports
ecosystem that is onboarding esports enthusiasts, and Emerge group, gaming marketing agency who have worked
with well-known names like Valorant, Mobile Legends, and Riot
Games.
The team at iAgent aims to democratize gaming by creating
AI-agents as digital assets and providing all gamers with the tools
and infrastructure to train their own Agents. These human trained
AI-Agents represent players’ gaming strategies, styles, and
creativity turning them into a digital representation of their
gaming persona.
By creating the world’s first AI-agent trained on a pro esports
player footage, iAgent is aiming to alter the landscape and future
of gaming. The tools used to create this groundbreaking digital
asset and gaming character will soon be available 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 full ownership over their
AI-agents running on multiple chains using innovative technology
developed by LayerZero Labs.
About iAgent
The iAgent protocol allows the world gamers 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.
Users can follow iAgent on X, notifications
on.
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
CEO
Jamie
Balzorig
iAgent
Protocol
jamie@iagentpro.com