ETHVC Ecosystems Opener | Hosted by: MZ and SK - Akindo

Hi guys. Hello everyone. Thank you for coming the East VC sami and pitchfest. Yeah, I'm very happy to have all of you today and uh it's great. I'm very honored and very excited.

So yeah um today is actually not about competition and also not about prizes so what's that so it's actually learning and connecting and also feedbacks so through all the session you will meet and uh VCs from worldwide and also like we will have amazing the pitching session and plus that we will have the ecosystem presentation which is our valuable partners so yeah today I'm very excited to be here and thank you for coming here today. So yeah before starting I want to ask everyone who is founder here if you're a founder. Oh a lot of people that's amazing and who is a VC investor. Yes you know this is a moment to connect later on we have a networking session it's a great opportunity and who is from ecosystem. Yeah.

Yes, guys. So, this is a place to connect everyone. So, I'm very excited to see the older sparks, right? Okay. Um the before starting um I would like to uh let me just sec I would like to explain about overview.

So, first we will have the ecosystem presentation that is a session to know about ecosystem each ecosystem. Um today we can see like uh far and supernet and alio. So with them if you are looking for the something to build that is going to be the great opportunity. Yeah. And uh next second session is going to be VC part.

You will see the panel discussion from VC that is a great opportunity to learn and the last third part is the most exciting part that is a pitch fest. So today we will see who's who's having a great opportunity to pitch and if you're founder here you know you guys are founder a lot here so and you you guys can learn how to pitch as well right and uh yeah without further ado let's move forward for the next so yeah um today uh I want to welcome the founder of a kindo yeah and uh who is actually start the whole journey today yeah Please welcome the Kjo.

Hello. Hello. Hello. Hello. Hi everyone.

Hi. Yeah. Welcome to the East Denver 2026 and it's BC plus a pitchfest. Actually I'm my name is Kjo founder of Akindo which is organized this program. So I'm it's very honor to like collaborate and stand here on the futurama stage uh with the biccom ventures and founders and investors and e ecosystem partners.

Yeah I believe today is a yeah about the real founders and today is about the startups and today is about the next wave of the crypto. Yeah actually I believe that. So yeah before the main program let me explain what we do as a like a organizer. Yeah. Uh yeah Akindo is a world first founder success platform.

We we exist is uh one simple reason to help founders win. Yeah. Uh not just build not just pitch but actually succeed. I think

yeah over the past few years. So we've collaborated like a major conference around the world. We create opportunity where founders can connect with like a investors like a users and ecosystem partners.

Yeah. Because success doesn't happen in isolation.

Yeah. It happens uh through connection. Yeah. This is the last two years. We also organized their showcase event as well.

Yeah. As you can see uh we partnered with the leading global conferences and not only just east Denver gym ACC deb connect DevCon and yeah many more. So we've hosted demo demo event and investor showcase event um yeah across the continent. Yeah. So and today yeah we we are proud to collaborate with East Denver team.

Yeah this stage this stage represent global momentum actually. So but a kindo uh is not only about offline opportunities. So we are sorry we also provide financial support. Yeah of course. Yeah, because like exposure is powerful but like a capital yeah accelerates the like a growth for startups right.

So yeah through a kindo we can uh provide founders gain like a three things fundraising from top tier VC and investors our partners and exposure opportunity a major global conferences yeah like today's actually and uh direct support from top tier ecosystems this is what founder success uh look like for example after my speech uh yeah you'll hear from Ario Yeah, we are running a privacy builder with Ario team. Builders is not just like a one-time event kind of hackathon. This is a structured uh growth program for founders, builders. Have you ever heard like build what is build? Yeah, actually so build is our core concept.

We created like this concept as a like a founder success platform. Builderson is a focus long-term approach and creates the business real business not just like a demo product for like a price and pages kind of hack aons. Yeah, this goal our goal is so simple to generate killer apps expand the like blockchain technology to the common people. Yeah. Real products, real users, real attractions.

Yeah. which is our focus areas and yeah actually I believe so build on concept covers all kinds of yeah traditional approach not only hackathons like a grant program acceleration program and like incubation program yeah I believe actually build covered all areas as a fullfunnel builder activation concept and uh yeah here is a powerful part actually I believe uh top teams from our builders not just get like a support from Ecsteystem they get invited to our D room inside the D room they connect directly with partner VCs our partner VCs like Spartan Mcoin 1KX IOSG and many more. So this is where fundraising conversation begins. This is our like a yeah support and yeah we continue to support founders uh beyond this like a stage beyond this opportunity. If you are building something serious, if you want the like a connect top tier X systems and if you want to invest across, yeah, please stay connected with Akindo.

Yeah. Follow us and join to our build and enter the D room. Yeah. Okay. Finally, now I'm so excited like introduce our ecosystem partners.

Yeah. For tokenization area for privacy. Supernet for AI. Yeah, they are building the infrastructure for next generations and together yeah we are launching builders to create the next killer apps for like expand expand our industry. Okay.

Yeah, please welcome our partner. Thank you. Yeah. Next is Thank you.

How's it going? Yeah, thank you. Thank you.

Hello everybody. Uh, thank you so much for joining us this afternoon. My name is David. Um, I'm a chief strategy officer at Ferros. Um, so Ferros is a upcoming um, Ethereum compatible L1 uh, that is focusing on Real Fi.

For the next 10 minutes, I'm going to explain what is Real Fi, what is a Ferros, why we're here today, and where we're heading to. Hopefully by the end of this uh short session uh you'll find the information informative and then uh very looking forward to building um Ethereum and then the vars ecosystem together with all of you. Um let me start with what is a real fi. So um our definition of reali is really the real asset uh real yield and then real users. That doesn't mean that the the others are like fake asset fake yield.

Our definition of real is more about the sustainability. I think in the past year or two uh RDB has been a hot topic but everybody has been seeing that a lot of top a lot of assets has been tokenized on chain but as a static assets there's no um there's no transactions there's no use cases uh once the people purchase it it's just hold to maturity that's that that transaction does not require a blockchain that transaction can can be perfectly handled in the offchain world so how do we basically make those assets as active assets um so that's that's The core question we're trying to address. The second question we're trying to address is the yield. So everybody has been asking for where is the liquidity? Who's going to purchase those RWB assets?

Um and we've been seeing that liquidity source has been extremely expensive particularly in the before like October last year. Um like easily if you're looking for USDC on chain that will cost you probably 12 15%. So in some extreme case have we've been even seeing like 20 plus percent. But is that true? Is that is that really cost of capital on chain?

I think that's not necessary. We have been talking to many institutions and endorment funds, pension funds, family offices, institutions all have interest in coming here and then their cost of capital is significantly lower. It's a even in some of cases higher single digit in some of cases even lower single digits. They're very happy to take the the the the assets that is well managed um uh full transparent has utility onchain with much lower cost of capital. So the real yield doesn't really require a lot of artificial yield aggregations.

We have seen a lot of use cases built on top of uh layers of incentives from tokens after token and then it's just simply not sustainable. Sustainable in a way um if you think you're pitching that um assets to a pension fund or to a larger um institutional investors um it's really hard to to even pass that investment policy. The question they will ask is is it is this assets really scalable? Is this asset really sustainable? Can I still hold this assets in my portfol port portfolio after two years?

And then is this thing can go up to like a billion or 10 billion? And the many times the answer is no. So that's the real asset and the real yield we're looking for. And then the real users we're we're hoping is not just the institutions. It's the it's the day-to-day users like you and me.

We're we're finding a way to to introducing a channel to bring the real users here to actually utilizing those assets in their in their daily financial world. Um so that's that's our definition of real and what we at Ferros uh we're building this infrastructure and ecosystem to support this concept. Uh we're certainly starting with a high performance chain uh which uh I won't go into the every single details but just wanted to highlight a few things. One is um it's a um EVM EVM compatible chain. Um it has uh up to 300k um uh TPS.

Um we can actually do transactions um uh less than one second. Um this thing is built on top of the end um tax stack which um if you're familiar with end and Alibaba their their technology is actually capable for e-commerce. So this chain is actually today is ready for a larger e-commerce type of transaction settlement. So it's a high performance chain. In addition to um the chains, we also have a robust ecosystem even before we have launched the public ch uh uh mainet today.

So uh I'm definitely not going to go into the name by name and and this is just the selective of the partners that we've been working with today. But we will have the native USDC, we will have the institutional custodians, we will have um MPC, we have the multiple major uh bridge providers, uh we have um all the major uh basically the DeFi uh uh players that that partner with us. Morpho uh for example um uh and then the the asset is like centrifuge uh wallet like uh OKX wallet like topnot. So we have all the top tier uh ecosystem partners that building with us on this real concept in this Ferros ecosystem. Since our launch of the test net back in 2024 May we have been able to get uh 2.

9 million of authenticated users. We've been able to have the over uh almost like three million website monthly visitors. We have uh h have had over 200 million unique addresses. And then the block time is is um at uh 0.2 seconds.

Now this is why we are here. So Pharaoh's um as a open ecosystem we we have our um incubators uh we have set aside uh $10 million for our incubators with our partners uh with Draper Dragon with faction with hack VC as well as with um ecosystem partners like Centrifuge. We wanted to build this ecosystem with you. We we set aides capitals, resources, manpower, tax stack to help to build um this entire system and not only just on the capital and resources perspective. I think um at the end of the day, Ferros is a demand engine.

Whatever you build, we're hope to find the demand on this chain and the demand what I mean by that is the liquidities is the users is the use cases. We have wallets to introduce in the users. We have institutional um partnership to introduce in the low cost of capitals. We have our partners to providing the various u tax stack and then and then um the um all the institutional toolkits you'll need to build your use cases and then um uh I I would encourage you to um to scan and apply uh through that QR code on the uh uh lower right corner. Um we we have a team that will be um dedicately reviewing all the requests, the information, applications we're eager to hearing from you and wanting to build together on Pharaoh's ecosystem.

And then lastly, we're heading to in the 2026 um we certainly f first of all we're going to open up our public mainet by the midappril and then um our goal is to be the number one um reali wealthfi uh layer 1. Um we're targeting at least the 1 billion TVL by uh 2026 um mo with most of active um or active RWBAs with the real users and real utilities. Uh we're going to on boarding uh at least the 50 plus institutional players globally. We're almost there already. Um we're we're going to have multiple uh stable coins issuers.

We we're going to start with the native USDC and then we have been partner up with multiple other stable coin issuers. So again this is just the start. Um we're hoping to build this ecosystem with you and let me just flash back. Um if you uh be interested into building with us, please um scan this QR codes and we're eager to hear from you. With that u that'll be all.

Thank you so much. Uh thank you for the amazing presentation. Uh if you want to be if you want to build on fars that's a moment and actually like there's a var team here. So feel free to connect after that. So the next one we have alo so let me prepare for that.

Uh yes. Okay. So Alio is a privacy focused chain and it's our great partner and uh we actually have a buildathon of alio. So if you want to build it yeah feel free to come and I want to welcome the alio team Alex. Yeah please welcome All right.

Hi everyone. Uh thank you Ma and uh Kjo and all of Akindo for this great partnership. Uh, I think we're we're in our second wave of the buildathon. I'll get to that at the end, but uh really really appreciating this pretty frugal partnership. Uh, so like I said, I'm Alex.

I'm the developer relations lead at Alio, and I'm going to give you a little talk about who we are and what we do. Oh, sorry about that. As Ma said, we're a chain focused on privacy. And a lot of you may be wondering, why why should I care about privacy? Why does privacy matter?

And I'll start with a little bit of history. So, web 2 started out in, for those of you who remember, the HTTP era. So, think of, you know, AOL, Pizzet, uh, CompuServe, basically these interesting websites, but didn't really unlock any novel use cases because you couldn't do payments over them. There was no encryption. And so if you wanted to buy something online, you'd have to upload your credit card info in plain text and anybody snooping on the network would be able to see um what you're doing.

Then around 1994, HTTPS came in and effectively introduced encryption into the internet and that unlocked a huge $19 trillion market cap industry of e-commerce and social media and everything in between. Web 3 is here. We are in our HTTP era right now. We have no encryption. Every all chains are transparent ledgers.

So all transactions and holdings and details are fully public. Let me put it another way. Web 3 stable coin payments are a over a trillion dollars or accounted for over a trillion dollars last year. Less than 0.01% 01% of those were encrypted.

So all of those payments were completely visible on chain and anyone could see who was getting sent who was getting sent to who was being sent from and that's a huge you know missing missing piece of of the web 3 ecosystem. So, everyone is talking about these how stable coins are going to unlock agentic payments or B2B um bring enterprises on chain. No one is talking about private stable coins. And I'll get to that in a little bit. Yet again, another example, every blockchain outside of ours, of course, today looks like this.

If you can associate an identity to a wallet address, you will be able to see their entire transaction history, everything they've ever done, any service they've interacted with, Pancake Swap, maybe they bought cryp um coffee from a crypto cafe, and that person may not even know it. If you can associate that without them knowing, you can surveil them in perpetuity. And that is a fundamental disconnect with how payments work in the real world. If I need to zk pill you any further, it's clear that there's an industry sentiment moving towards privacy. In their, you know, 2026 state of crypto report, A16Z said privacy will be the most important moat in crypto this year.

Vitalic is talking about introducing privacy to the Ethereum L1. Today, privacy can no longer be ignored. Two weeks ago, CZ posted on Twitter, "Lack of privacy may be the missing link to global crypto payments adoption." And so that's who we are. Alo privacy as a first class citizen.

And what do I mean by that? So if we look at this axis here of privacy on the Y and programility on the X, Bitcoin was the first major kind of crypto. It was this idea of public cryptographic verifiable money. Even to this day, it is very kind of limited in the scope of what you could do with it. It's restricted to pure transfers.

ETH came along and introduced this idea of public apps. So programmability, smart contracts, everything on there. And that opened up a huge industry for DeFi and you know onchain payroll and things like that or attempts at onchain payroll separately. This the idea of Zcash came along and took Bitcoin and said what if we could make it private? What if we could do take these simple transfers and simple store of value and add a layer of privacy to it so people's balances and transactions wouldn't get leaked?

And the idea was what if we could have a chain that took all the great privacy features pioneered by Zcash, so private transactions and balances and accounts and add this smart contract functionality and unlock things like private DeFi and and that kind of explosion. And that's who we are. We are unlocking programmable privacy allowing you to keep your transactions and balances everything private but still build any kind of custom application you can imagine. So we built that infrastructure and this great architecture of of privacy baked into from the ground up at the consensus layer, at the execution layer. And the original thesis was if you build it, they will come.

If you build this great infrastructure with privacy, of course developers will come and and start to build all these great things on there. That thesis was proven incorrect because You know that may have worked at the time for Ethereum because it was the only option available but because there are so many chains now with their own language, their own tech stack, their own uh use cases, it's not enough now to just build infrastructure. You have to build the core elements of infrastructure all the way up the stack. So the base layer was the settlement layer of the alo chain which is what I talked about. The second element is the asset layer.

So people need to be able to do things outside of just a nable uh a native token. And so we over the past few months have announced and shipped partnerships with both Circle and Paxos Labs to launch the world's first private stable coins. So stable coins that have pegged to the real dollar and are issued via Circle and Paxos, but can you can do private transactions with them. And so unlocking another use case for for the asset layer. The third layer is one that not a lot of people want to talk about, but it's the compliance layer.

So big story in the news right now is Discord. You know, requiring effectively requiring you to upload your passport or your ID to their quote unquote secure servers in order to access all their features. And this is fundamentally kind of an outdated technology. We have the technology now to prove certain things about your identity. I'm over 18 for example, without necessarily revealing, you know, uploading a picture of your passport to their secure server.

And effectively, that's what, you know, programmable privacy allows is it allows you to program in compliance. So you can do a ZK proof that I have a passport that is legitimately issued and is over the age of 18 without needing to say, "Oh, this is my name. This is my date of birth. This is the country I'm from." And that's only again once again that's only possible with programmable privacy.

So the settlement layer, the asset layer, the compliance layer, there's one final piece that unlocks everything and that's the one that is most neglected and that's the UX layer. And so we saw this missing gap in our infrastructure and decided to build a custom wallet inhouse that takes full advantage of all the privacy features. And that's what we launched here at ETH Denver. It's called Shield wallet. And Shield is the most private way to move money crosschain and on on on web 3 within the wallet.

You can send funds just as as you would in in MetaMask or any other wallet instantaneously and uh maintain full control, but you can shield and unshield your assets and transfer privately between um between accounts either your own accounts or between users. And you only choose when you when you want to unshield shield and unshield your assets. So you have full control over not just the movement of your assets, but the privacy of your assets. So if you're interested in checking this out, we have a booth um over in uh Prosperia, I believe. And we'll be happy to walk you through on how this whole wallet works and gets you onboarded.

I have some of my teammates there in the back who are giving out beanies and cards for um onboarding. You get 50 free Alio tokens if you do so. And we'd really appreciate honestly any feedback you guys have on, you know, why is privacy important to you. Last thing I'll plug again from our folks at Akindo, we're running a buildathon competition right now. We just finished wave two.

Um the total prize pool is $50,000 in USDT in order to come build privacy preserving applications on Alio. the developers in this conver uh competition actually got early access to Shield so that they could as developers could get first class access to private transactions and and private stable coins. So that being said, I think that's all all the time I have, but thank you all very much. Uh thank you Alex and it's great to have the alio on our akindo buildathon and uh this is actually great opportunity to build your project on alio. So feel free to join that is said on the our akindo platforms build.

So the next uh we go to the um the our amazing uh partner which is a supernet. Um, supernet is a AI context layer one and we have the uh one and uh yeah and please give a a random approach to him.

All right, I'm going to try to make this interesting and and share a little bit about uh AI context which is what we're focused on at Supernet. But before I do that, let me give you a little bit of background on myself and uh my co-founder. So I got into crypto in 2016. Prior to that, I spent over a decade as a web 2 entrepreneur doing a lot of work in marketing tech, ad tech, social um and big data. And this is important because when we talk about AI context, there's really a lot of overlap uh here.

and um you know went to Stanford uh a few times, ended up building uh going back and forth and being both an entrepreneur and investor over the last 25 years. Um worked on early mobile products at the design firm IDO, including the the uh Palm Handspring first generation iPod, first generation iPhone, and then uh ran the digital side of Robert Downey Jr.'s company, did a MediaTek venture fund with him, had a social video publishing, monetization and uh um analytics platform that all the biggest YouTubers, online video networks and um multi-channel networks used and then ended up getting into uh crypto after that uh in 2016 and uh was the co-founder of Enigma Capital. So, my co-founder and I, Ethan, who's sitting in the front row here, have known each other for about 15 years. And Ethan has a background coming out of MIT, uh, has been doing machine learning and AI, uh, for over 25 years, built an AI company with another MIT professor, built an adtech company that he sold in 2013 and was recently architect of Audit Board AI.

Audit Board's the largest uh auditing SAS in the world which had a three billion dollar exit to private equity and uh we you know do some investing together look at a lot of things in AI and uh we were looking specifically at the memory space and didn't see anything that we liked and that was the jumping off point to build supernet. So with that said let me share a little bit about what's going on in AI context. So, for those of you that don't know, AI context is the rich user data, preferences, and prior interactions that make AI systems interpret your inputs accurately and gen generate relevant personalized outputs and context is becoming more and more important. So, right now we're seeing models becoming commoditized almost like cloud compute. A lot of consumer users can't even tell the difference between models.

And I think OpenClaw has been a great illustration of this. You know, the framework of OpenClaw is really the driver and most people can't tell what model it's powered by. On the commerce side of things, which is something that we think a lot about. Um, over 95% of users are using AI to pre-shop. And this is meaning that there is a tremendous amount of buyer intent in anybody's um context.

So this is really making AI or context critical for both consumer and commerce AI. But there are a lot of issues. So when we look at the consumer side of things, the context memory is siloed in each app. I'm sure a lot of you have had this experience. You use chat GPT, it gets to know you.

Then you just decide you want to move to Claude or DeepSseek or Grock and you kind of have to start all over again getting it up to speed and getting it to know you. In addition, there's a serious lack of privacy. We're telling more things to these systems than we ever have before. And users are not going to be involved in the monetization of that unless we do something about it. And this is also driving app lock in.

like a lot of people just don't want to um try another AI app because of how long it's going to take it to get up to speed. On the commerce side, there's also some significant and somewhat similar problems. So, user context is also siloed there. You know, um all the context is trapped in companies like Google, Facebook, Twitter, OpenAI and Anthropic. And this is really a problem because if you look at the commerce stack, it's all starting to have AI in it and try to build up its own context on users to personalize, but it doesn't have any of this access to that data that could really make the personalization much better.

In addition, even within the commerce stack, the different parts, the different SAS that makes it up are not talking to each other. So the merchandising engine that shows you the products and organizes them has its own AI running, but it's not sharing with the content engine that's doing the descriptions and it's not sharing with the payment rails. So this is really not ideal for e-commerce companies and you know ideally this context would all be interoperable and none of this is composable with with uh agentic transactions right old school databases is traditionally the way that this user information is stored um not in rag memory which would make it easily accessible for AI systems and um would make it composable for agentic transactions. And of course, there's regulatory and data privacy issues. So, within the world of e-commerce, traditionally today, there's things like CDPs and um and uh these rooms where they reconcile the data.

Well, that doesn't work for rag memory uh with AI. And also in some parts of the world that doesn't work at all because of GDPR. On the enterprise side there's also significant problems around context. So the first step that a lot of companies took into AI was building bespoke chat bots with their corporate information and then they quickly realized that employees weren't using them. And the reason for that is that they were instantly outdated and the consumer interfaces of chat GPT and Claude and Grock have been regularly improving.

And that's outside of the core foundational model. A lot of that improvement today is in the pre-processing, the post-processing, the layers of rag memory that are making up that product interface. Two years ago, if you would have used, for example, the open API, open AAI API and chat GPT side by side, you would get pretty similar results. Today, if you go and try that, you'll find that they're significantly different because the product of chat GPT has become so much better. And so, this is really a difficult thing for enterprise and small business because nobody wants to use their apps.

And as a result they can't have the guard rails and audit logs that are required for for enterprise. So when we at Supernet look at what are the top use cases here for um having onchain portable auditable um context memory. Well, as we've said, it's enabling users to go from one AI chat app to another and bring all of their data with them, which I think a lot of people can probably resonate with. On the enterprise side, it's enabling um context for employees. And then in the agentic world, it's enabling multi- aent workflows so that you can lend out your context and enable it to be questioned by these agents in very specific realms that are relevant to the work that they're doing.

And finally, we have the needs in marketing, advertising, and e-commerce. As we said, um the all marketing, adtech, the web stack all would love to have this uh data so that they can stay competitive with the likes of Google and Facebook and Twitter, but right now there there's nowhere to buy it. So these are the the use cases that we looked at when we were starting to build Supernet. And the answer to how we address these problems comes on two levels. First we have an application layer.

So we have user apps that can collect context and this is like browser extensions, desktop apps and then invisibly inject it back into the prompt. So essentially we're giving users their own rag memory layer which if you look at like corporate AI systems they would add a rag memory layer um to bring in all the corporate information. So, we're giving individuals that without them having to engineer it and carry it across all of their applications. This sits on top of a data management SDK that allows this collection, management, and injection of data. And that's important because any other application could do the same thing as our reference apps.

So, you could add this to a web 3 wallet. You could add this to web two browser extensions and they can all manage user contacts data as a digital asset. And finally, we have a data access SDK. So this enables third parties to put out bounties as well as purchase user context or purchase the right to question user context for personalization. And this enables users to actually also monetize their contact data for a personalized experience.

So imagine you're going to um an e-commerce site and it gives you the offer of would you like a 10% off coupon or would you like a crypto um transaction in order to share more about who you are so that they can personalize with products that you're more likely to like. So that's all done on the application layer. Now this is stored on a secure L1 infrastructure. So essentially what we've done is we've created a rag memory layer on chain. And so what that means is we have a chain that is both a compute chain and a a data chain.

And we do we go from the raw the user's raw data which is kept encrypted offchain in commodity storage to having it vectorized onchain doing the the search doing the um post-processing all in a secure pipeline that is then composable because we have data access transactions. So that means that the validators can unlock the secure and encrypted data and deliver it to third parties that the user chooses. And so we can do this for monetization. We can do this for composing with X42 for allowing your context to be used by agents and then it can also of course be audited. And we built forkless upgradability into the chain because rag memory um the algorithms for doing rag memory are uh evolving constantly and so we needed to be able to add new executables to make sure that we were keeping up with the state-of-the-art.

And so that's a lot of talk about, you know, the market and how we're addressing this. But let's give you a demo of what this actually looks like in in um you know the real world. So I'll show you our superme browser extension. All right. So what you see here is um chat GPT and we're going to put it in um incognito mode so that you it's not going to know anything about you.

Let's see if I can There we have a temporary chat and this is the Supernet browser extension. And so if we see we've seated it with a piece of data about Supernet, which is the U ID and there's no way that chat GPT could know this. It's proprietary data. And the first thing that we'll do is switch off the browser extension. So you'll see that if you we ask chat GPT about this, it's not going to know.

It's going to give us some generic answer about what it the network ID might be. And then we're going to go and turn on the browser extension and ask the same question again. And we'll see that now chat GPT knows because it's pulling from the secure context memory for this user. And now we'll show the portability. So we'll go over to Grock again in a private session and we're going to tell Grock the definition of a nonsense word.

and it's going to take note of this silly word and say, "Okay, it has it." Now, we'll go back to chat GPT and we're going to ask about this nonsense word that chat GPT would have no idea what it is. And you'll see that now ChatGpt knows exactly what it is. So, if you want to be able to uh do this, this product is coming out next month in March. Um, and we're going to have the SDK also coming out.

So, look for that. Uh, you can grab up here my Twitter, the company's Twitter on the right. And then in the middle, we have a special surprise. So, to further illustrate what we're doing, uh, we've created something called Superclaw. So we put openclaw in the cloud to isolate it and so you don't have security concerns as well as as many of you know openclaw typically has poor memory.

So we've added some memory to it. So you can go uh sign up and try out uh openclaw and in the coming year uh this will be coming to many applications and we'd love to have developers doing more integrations either in their existing applications or building new applications that use memory. Thank you.

Yes. Um that was a superet and uh as a partner it's a great and also honor to have them and uh the you in the future like we have the they will have the test net and mainet. So now probably the you should be ready because once it's uh live you can be the first one to be there. All right. So that's uh basically for the ecosystem session part and now we will move to the VC part.

So I would like to uh introduce the Tina from the um the VFCO ventures and here we they really amazing partner with us and Tina can you come here? Yes. All right. So they Okay. All right.

Let me just prepare for the next. So yeah, please welcome Tina from the Vafcom Ventures everyone.