The Future of AI Agents, Real World Assets, and On-Chain intelligence.

everyone and welcome to another exciting episode for Nebula X-Pis. So with me today I have some amazing guest speakers which I'm going to introduce. We have Lisa, the Operations Manager at Mars Cards. We have Naya, the BD Lead at City Ching and our last speaker, he's not here right now but I'm sure you join later, Max, the CEO of Push-in AI. So guys before we begin let me quickly give an introduction about myself and Nebulae and also what we are building in the crypto space. So I'm Emmanuel, the BD Lead at Nebulae and Nebulae is a decentralized AI agents market place designed to enable anyone, both the blue paths, critters and even businesses to build, deploy and monetize intelligent AI agents on chain. Our goal is to make AI more open, composable and economically rewarding within the WebTree ecosystem. At Nebulae we are creating an infrastructure where AI agents are not just tools but are also active digital entities that can perform tags, interact and generate value across different applications. With some core modules like the Request agents hope, agents space and open compute. We are simplifying how AI is accessed and skilled in a decentralized way. We also believe the future lies in AI-need-tip economies and Nebulae is positioning itself as a key layer, foreign data transformation. So yeah before we begin let me give our guest speakers the opportunity to introduce themselves and their projects and also what's their building as well. So for my first speaker let's start with Marscats. We can go first. Yeah thank you. Hi everyone and thanks to Nebulae for having me today. Amannisa, Appearance Manager at Marscats. Marscats is a privacy first Web3 super app built on a decentralized peer-to-peer network. Inside the one environment, users can access private social, multi-chain wallades, AI assistants and AI agent services, payments rewards and Web3 applications. A big part of what we think about is what happens with AI stops being something that simply gives you answers and starts becoming an active participant in digital economies. Once agents can read data into activities, applications, manage assets or execute transactions and trust become much more important. So to this discussion around AI agents, RWAs and on-chain intelligence is a very relevant tool for whatever building and thinking about at Marscats. Thank you. All right that was a great one. Thank you very much for joining Marscats. So over to you, Tiki-Kin. Thank you, thank you, Host and thank you. Thanks for inviting me today and I'm Naya. I'm busy with front Tiki-chain and AMO. Firstly, I want to briefly introduce what we are building. Tiki-chain is an EVM compatible layer to fix the own data consumption and real-world livelihood applications. AMO is a core pillar of the Tiki-chain ecosystem. We have been working with the tens of thousands of offline businesses across different markets and we use our own self developed AI devices to collect and process real-world consumption data every day. These devices can capture structure and filter consumption data directly and the age while protecting users' privacy. The process data can then be brought on-chain as reliable and temporary system data that can actually be used by both consumers and businesses. For users, the process can be very simple. They just continue their data consumption and upload the receipts and get rewarded. For business aside, this creates much more reliable source of real consumer data than can support better business decisions and new applications. And we have been building and expanding this model across Hong Kong and the USE Asia over the past two years and we are just getting started. I am very happy to be here and I look forward to the discussion back to your host. Thank you very much, Nair for that introduction. Let's have next speaker, Max, to give his introduction about himself and his project as well. Over to Max. Yeah, wonderful. Thanks for having me first of all. My name is Max. I'm from Germany and for the last seven years I'm working in Web 3, mostly in project management, consulting and marketing. And for the last three years, I moved deep into AI, studying Agentec AI at MIT. And so now I'm basically focusing on the intersection of Web 3 and AI, which I think is the future. And about Ocean 6, basically let's businesses buy outcomes instead of assembling technology stacks. So it coordinates AI, compute, software, machines and operators to deliver those outcomes. It does not give the task of assembling their own technology stack to companies. Those companies were simply by a result and gathered result. And the assembly, the whole workflow design and execution basically can be outsourced to Ocean 6. And OCT, which is our token and Web 3 protocol, provides the decentralized trust reputation in SENDEF layer. And settlement layer that allows independent providers to work together securely. So this crucially allows Ocean 6 to function as an open and vendor neutral service rather than a closed centralized platform. So that's it in a nutshell. Thanks. All right. Thank you, Max. So that's amazing introduction. And welcome once again all our guest speakers to our Emmy session. And for our listeners out there, kindly give our guest speakers a follow-up on X and do well to join their communities and supporting whatsoever they're building their community as well. We also have a giveaway event ongoing on the space. So you can do well to participate, share the live shared space and also tell your friends to join as well. So yeah, moving on to our topic for today, the future of AI agents, real world assets and on-chain intelligence. So today we'll be looking at how AI agents are evolving beyond simple assistants. How real world assets are moving on-chain and what happens when AI and blockchain come together to create smarter and more autonomous systems. So yeah, moving on to my first question for the day, it says AI agents are becoming more autonomous. How do you see them changing the way people and businesses interact with blockchain and digital assets? So we want to go first on this. Maybe I will go first. Oh cool cool. Okay, thank you. Okay, so I think AI agents become more autonomous. The biggest change will be in how people and businesses get things done. Instead of simply using AI as a tool to assist with individual tasks, we are now starting giving agents more responsibility to understand data, make simple decisions and take actions on our behalf. For businesses, this means AI can become much more deeply integrated into existing operations and help turn information into real economic value rather than just making individual tasks faster. So I want to discuss this topic from TituChains and AIMOS perspective. We are many working ways businesses that already have real operations, physical locations, customers and transaction flows. So for this business, AI agents should not mean ending another complicated workflow. The goal is to make their existing businesses more efficient and generate real economic value, whether that means bringing in more customers, making better operational decisions or lowering the cost of financing. And I want to take a good example. Is our collaborations with the Canadian Group in Malaysia? We're working on upgrading an EV co-fleet serving QualLumpu Airport together with EV charging stations. With our trust data space and HAR infrastructure, operational data from the vehicles and charging stations can be collected, structured and brought on chain in a much more transparent and timely way. This creates value on both sides. For the operator, better and more transparent data can make financing easier and potentially reduce financing costs. For our investors, instead of relying only on traditional financial reports, they can have access to more real-time and very viable operational data, which can also improve the risk management. And I think this is where digital assets become much more meaningful when real economic activity, real operational data and the real cash flows are probably structured and connected on chain. They can become more accessible form of digital assets, not simply something created for speculation. So I don't think the future is about asking ordinary users to learn how to use more AI tools to learn the blockchain technology. The real opportunity is to let AI agents work in the background. While our users, the people can simply continue using it and make money for it. That's my take. Thank you. That was an amazing one. I think you actually covered a lot from it. For me, this is interesting because AI agents could make blockchain much easier to use by handling tasks like transactions, payments and also interacting with decentralized applications on behalf of users. For businesses, they could also automate on chain processes and improve efficiency. But yeah, this also brings questions around trust security and also how much control we should give these agents. So moving on to my next speaker, let's see what he has to contribute to this. Marskats, we can go next. Okay, thank you. I think the biggest change is that blockchain actually gradually move on being user-driven to intense-driven today. A user still has to do a lot of the work manually. You open a wallet, check a protocol, compare information, monitor the results and then decide what to do next. AI agent can compress many of these steps instead of saying open this app, bridge here, check this pool and then execute this transaction. A user may simply say, help me find the best option within this risk limits and the agent handles the research and execution workflow. For business, the impact could be even bigger. Agents can continue to monitor trigger reposition payments, liquidity, market conditions or operational activity without waiting for someone to manually check every dashboard. But autonomy also creates a new problem. Agents that can act needs boundaries. It needs to know what it is, allow to access, what it can sign, how much value it can move and will a human need to approve some C. That is one reason AI agent services are becoming an important part of the Marskats environment. We see agents not only as assistance, but potentially as varsk class participants.