Agentic Finance: When AI Agents Start Managing Money.

Hey guys, how's your tour doing today? Good night. Awesome. Awesome, awesome. So, let's wait a few minutes, one of our guests will join. I think everyone is coming. Hey Max, can you hear me? Hey Max, can I order one? Guys, hi, hi, hi Max. Thanks for coming to this space. So, yeah, I think everyone is in. So, we can start cool buffet. So, welcome everyone. And yeah, I am a BD head on for it. And for today's topic is identity finance when air agents start managing the money. So, we can start with the introduction for one by one. So, yeah, Max, can you word? Of course, thanks a lot. First of all, thanks for having me. Yeah, well done. And hello everyone. You know, glad to be here. A bit about myself first. So, my background is a Web 3 for the last nine years started in 2017. And more recently, I've moved into AI and Agentic AI specifically since about 2024. I've studied Agentic AI at the MIT and worked in different AI related projects in the past. So, I'm basically particularly interested in what happens, you know, when AI and Web 3 come together. Currently, I'm working at Ocean 6, where we're working toward an open service network that connects AI agents, computing infrastructure, software, and eventually autonomous machines. So, robots as well to deliver real business outcomes. And what excites me most is that we are moving beyond AI that simply provides information toward AI that coordinates services, you know, can execute real tasks and participate in, you know, economic activity on a deeper level. And while it's not our particular focus, but I think, you know, related to our current topic today, I think finance and trading are some of the most interesting areas which to explore, you know, both the opportunities and risks of that transition towards more autonomous AI. And, yeah, that not just provides information, but also executes tasks. Thanks. Thanks, Max. Nice interruption. Yeah. Today, we are really discussing about the agenting and finance infrastructure. So, I think that this one is a nice topic for everyone because, you know, like everything is coming to AI agents. So, we can go through the questions and all this after the solution. So, we can go with, sorry, my network, you know, please introduce yourself what, what you are building. I see that your building is a real RWS and it's getting it in a nearby. So, can you give us some introduction and what's worth, made it in some. So, first of all, thanks for having me. I'm pretty much, yeah, you can call me free. I've been in, I have a background in data science. I've spent the last nine plus years building machine learning models and AI systems across Pintek, retail and crypto. Currently, I'm serving as the director of data and marketing and Maverick. And as you said, Maverick is basically a full stack ecosystem for real world assets. By full stack ecosystem, what I mean is we have, first of all, Maverick network, which is the layer one, which has MRC 30 as a token standard, which has compliance built into it. I'll come to this later during our conversation. Then we have equities, which is our tokenization platform where you can come and issue tokenized assets. And it's also a secondary market. So you can trade them. It has an on chain order book. And then we have Maverick finance, which is a defile layer on top of all this, where you can lend and also, you know, borrow against your RWA that you bought on equities and all other defile activities that you can do on any other platform. And today, you know, what I'm looking to at the topic that we have what I'm looking to come at is from an angle where, you know, agents, you know, currently we have agents that are trading meme coins, right. But what happens when they're agents, they start trading real world assets, which hold value in the real world, right. And I'm not just meme coins. So it's a great topic and I'm happy to be here. Thanks for inviting me again. Yeah. Thank you. Thank you for your us. Yeah, we can go with the further back. You know, please, it works for yourself. And I see that your page is your project. So I think it's good to know what you are willing and what you already achieve. Yeah, it's good. Thank you. Thank you guys. Thanks for inviting us on this event. So I am Gordon, a C video at the record. Few words about myself, I have been to for quite some time. I mostly have a background in exchanges, a group of derivatives exchanges and driving users and driving volume to these exchanges. And to the break is also connected to this direction because we are actually a platform through which a user who is trading on exchanges of their choice can get. Can receive cash back and rebates on their trading fees because like for the most part, many, many users just lose their money or the trading fees just eat up their profits because they are a lot. So with the other way, a user can just basically like return 70% of so space on their spot address and spot account on the exchange of their choice and that's continued trading, etc. So it's quite simple solution. All the thing a user must have to do is just to set up an account on the exchange of their choice with the other breaks referral link and also and also pay copy and pay their UID in the server. And that's it. Say we'll be able to generate cash back on their fees every day. And about today's topic. It's very interesting for us because AI agents and AI at all is taking all trading infrastructure. Many retail users are using AI agents as their core, not means mean for trading, now crypto futures and derivatives. And we have been seeing this on many, many exchanges and this very important part because it is fully a directly connected to us. And so we'd love to hear from today from the audience and from other great speakers about this AI agents that will be able to take over retail trades soon. Thank you guys. Thanks for having me again. Good luck. Thank you. Thank you. Go on. You know, it burns right? Yeah. Our last figure. Can you please introduce yourself? Okay. Thank you actually for inviting me here. This is Austin and also been working in the crypto industry last four years. And right now I'm the marketing leader of the little sphere. So if I see like what you're building. The little sphere is an AI native layer zero infrastructure that designed for autonomous agents and way for economy. And at a simple label, we are building the infrastructure that allows AI agents to do more than just generate information. And we want agents to be able to identify themself, make decision and execution the conditions interact with the smart contracts and interact with the and communicate across the blockchains. So our technology that is take brings together several important pieces that the lead tick that provides a native is not contract and execution environment, then. PPL, which enables the persistent privacy our agent identity that maltex which focuses on cross in coordination and atomic execution actually. So the bigger vision that we call way for an environment where humans, a autonomous a agents can interact economy can actually so little sphere agent is simply putting it on a blockchain. We're building the execution identity in the real public actually so that's the beat about that whether you're building. Thank you once again. Thank you for your duration. So I think like what you are so we can see that in the questions so we can do to go in questions. Basically, we have fire motions and like I will start with the first one how safe is it that AI agents manage the money. So who can go with first max are you shared your opinion on this. I didn't hear the question can you repeat the question please. Sorry, I still didn't get it. Maybe my sound here is not very good. If somebody else can answer, but is it like are are I. Yeah, I say that how safe is it is it to let the agents manage the money. That's, you know, I think the crucial question. Of course, you know, there are significant security risks. The biggest risk is that we are combining probabilistic AI with potentially irreversible financial transactions. An AI agent can easily misunderstand certain instructions, you know, or process manipulated information right it could act based on faulty information or interact with certain malicious tools without anybody being in control. That is a significant risk. And I think from my point of view, the solution is just, you know, carefully sandboxing right giving the agent. And all only a certain amount of capital right that is. Yeah, for example, sealed wallet right that sealed off from from your major funds. So risk control is super important when dealing with that. On the other hand, I think blockchain is really an edge here because all the transactions are recorded right and it's I think way better than an agent would trade in the traditional financial system from my point of view. Right, there's one of many reasons actually why you know blockchain or crypto plus agentic AI makes sense on many levels. Thanks, thanks, thanks, thanks. Yeah, what do you say that exactly right and like in the industry in managing.