 So today I am going to tell you about our latest platform, it is called Indox with an I. I will definitely tell you more about it. So today I will introduce my team, my awesome team. Then I will tell you about the concept and the problem that we are trying to solve. I will go into the solution which is obviously the mechanics of the idea and also some use cases. So who are we? We are at us, we use blockchain technology and smart contracts to secure data and documents on the blockchain. So our primary product is digital certificates, so converting the degrees and diplomas into smart contracts. We also have a pilot going on with one of the politics in Singapore. We are going to come up soon so I can't divulge much about that. So this is my awesome team. I started this company with David more than one year ago. We have Ryan Arranger, the page of CO and a group who is in India. So we started this company with the premise of smart contracts as a service. So you must have heard about the SAS model which is software as a service. But we gave it a small spin and came up with smart contracts as a service. So to get into the platform idea itself, I want to touch a little about decentralization and why it is important. So right now, you see two kinds of models on the screen. One is a centralized model and one is a decentralized model. So internet applications can be divided into three logical layers according to their evolution. So when internet started, we had very static websites. So we had like travel blogs or any more companies. We were just putting up brochures on the internet. So the websites just had some pictures, photos and just some occupational models companies. That was web 1.0. That came about web 2.0 in the form of Facebook and all the dynamic websites. So now you could do a lot more with your internet. You could go play online, you could put up your social media profiles online, you could do online banking and all these kinds of things. But the fundamental problem with web 2.0 is that you as a user never control your data. You never own your data. All these websites like Facebook, LinkedIn, they can monetize your data and they can do anything with it. They can manipulate your data. So Facebook did some manipulation with the emotions of its users on the wall. And I think that's not what you want them to do. So why decentralization? So Vitalik Vetterich, who is the co-founder of Ethereum, he wrote a great article about the importance of decentralization. There are three important things. One is fault tolerance. What do you mean by that? Is that in a decentralized ecosystem, the entire application consists of several different components. And your application is not rely on any single component. So if any component reads accidentally, the application is advanced because you may have a lot of written answers. You have polluted resistance. And then any two players in this ecosystem, they decide to pollute together and change your data, manipulate your data. They can't do it because you need a consensus and you need a lot of people, more than 51% in case of Bitcoin, together have changed their history in that case. That closed down to attach the resistance. As in any government or any other governmental agency or spy agency, if they come to Bitcoin tomorrow and say that they want to change Bitcoin, they can't do it. Because they'll have to change 51% of the nodes all across the world. And since this network is so geographically distributed, it's quite difficult to do it. The same thing with other free-to-be networks of mesh networks like NASCAR, Bitcoins. So sometimes Bitcoins are used for illegal purpose. But the technology itself is quite revolutionary. So you can't actually shut down a Bitcoins network practically. You can shut down the listing websites like Karemeo, you can't shut down a Bitcoins network. So this is the new stack. So all these days, from the last 10-12 years, you have had three tier architecture as in the front end, the middle end and the database. But now the stack is changing. You have web 3.0 applications where the entire stack is distributed and decentralized. So in that case, you have Ethereum which adds special computation engine. You can write smart contracts which contain your logic. And essentially they become little middle-ware players and also the database. You have IPFS which stands for Interplanetary Files System. It acts like a decentralized drop-off or a decentralized history. Where you can store your content, you can store your files and it's not on any single server. So they don't have a single corner failure. You can monetize your applications to the cryptocurrency like Bitcoins, Ethereum, and any other types of coins, hard coins, shitcoins, whatever you want to call it. But one fundamental limitation with blockchains is that they cannot speak with outside internet. So Ethereum smart contracts, they don't know what's happening with outside internet. They don't know what is the price of gold today. They don't know what is the price of a flight from Singapore to Mumbai or Singapore to New York. So if you have a smart contract, it says that if the price of gold, you know, was above X dollars, then I transfer my ether to buy it. But the smart contract doesn't know that. And you cannot, so new types of applications are enacted like Oracleize or Ogre, which is a traditional market, which can feed the data into the smart contract in a trustless manner. As in, there is no single authority which says that this is the price of gold today. You can outsource the wisdom and you can collect the smart contract. So, again, this is one more universal concept. In the last blockchain night, Professor David Lee was mentioning about ICUs and initial token sales. So, you know, all these years since Facebook started and even before that, the startups and new tech companies have relied heavily upon traditional forms of investment, like VC funding or PE funding in that case. But now, you have some new media companies where people raise funding through something like crowd sourcing. So, I still stand for initial fund offering, which is similar to an ITU. But in this case, you are pre-selling the tokens. So, suppose Microsoft is pre-selling you the tokens from an office software that can be done on this blockchain. Like a Kickstarter campaign, where suppose I am creating a new kind of bag, a new kind of remote control, I can pre-sell you these things even before I start managing it. So, that's an ICO. And even Ethereum, for that matter, Ethereum made a pre-sale in 2014 again and then resold some token sources back home. Yeah, so the problem that we are trying to solve today is loss of control, loss of ownership on your data. We want people to control their own data instead of keeping it in big data centers and data farms and manipulating it, monetizing it for their own purpose. Second thing is, because you should be able to monetize your data when you create content, when you contribute to the growth of the platform, you should be able to get money from that. According to the platform's law, the value of the subscription network is directly proportional to the number of users it has. So, if you have more than one users, the platform itself becomes more valuable and the users should get something out of that because you are getting the platform more valuable. Today, Facebook has more than one billion users and it's so valuable, but you are not getting any more. You are just getting emojis and smileys and things like that. And it's still economical. So today, although, see, I agree that your degrees are important, your credits are important, where you have more than important, but what's more important is what skills to have and what skills you can do. So, we have a really great story of Deepak, like, let us see, oh, oh. He has a degree in Charter Accounting, so he is an accountant by training. He used to work at PWC for 11 years, but he recently joined my company as a developer. So currently, he is working for RehabJS and developing the landing place for this application. Why? Because he could prove that he can code. He doesn't have a degree in computer science, but he could prove to me that he has code and he has written software in the past. That's why we hired him. That's why he has a degree in computer science. This is not a small problem. The value of the social network, as I told you, is really tremendous. LinkedIn got sold to Microsoft for almost 26 billion. Snapchat did an ICO and raised $3 billion, at a value of $24 billion, and that, in spite of having a loss-making revenue model, a loss-making revenue model, that's what we say that we want you to profit from the rate of monetization. So our solution is to give back ownership of the data to the users. And one more thing is that, on LinkedIn, whenever you put up anything, LinkedIn asks you for an endorsement. Most of the times, these endorsements are just given out because I like them also. So I can say that Ryan has really good at HTML CSS, although he doesn't know it. I just say yes, because I endorse it, because I like it. Same thing might be happening with many people. So you don't have anything to do with the value of the data, this claim or this endorsement is true. And hence, we came up with the idea of an endorse platform. In this platform, we have, we are going to do a initiative token, say, with this one. We have three kinds of tokens. Two of them will be internal tokens. They won't leave the platform. It's called a lab score and internal endorsements. Both for user journey. Suppose a new user called Alice, she joins the platform. She gets certain reputation, a minimum reputation, after she joins the platform. So this is similar to Reddit or Stack Overflow, where you start with a minimum reputation score. So now Alice can come and make a claim that she has an ingredient on the news. So on this platform, everything is in the form of a claim. So whatever you see on the platform becomes a claim. Alice claims that she has that claim. From the news, we still don't know whether she actually has a ingredient. So she puts up a blue element, like her certificate, or a link for a user's website, which has to do their entertainment. What happens is the platform will randomly choose meaning than endorsements. Who will get a request for endorsement Alice? So if you compare it with Uber or something, when you go on a cab, your request goes to multiple drivers around your area. And one of them chooses it. So in this case, similarly, we will choose random endorsers. One of them might choose to endorse her. So next slide. So of course Bob chooses to endorse Alice. What he does is he goes to her blue element, maybe he goes to the link of her certificate, or he goes to the link of the user's website, and sees that Alice actually has an ingredient on her US. Then he can endorse Alice's claim. He has two options. He can either endorse the claim, or flag the claim. In Twitter, Bob will get an endorsement, and Alice will get an endorsement, and obviously both the reputation scores will increase. So we are doing this in order to prevent game theoretical nature of the system. We don't want endorsers to game the system. In the sense that, because Bob knows Alice, he might say that hey, she doesn't have an idea, and hence he might flag her claim, and she might lose her reputation. So we are going for the balance of probabilities. So suppose out of ten endorsers, eight of them say that hey, she has an idea, and two of them say that she doesn't have it. So we can safely assume that these two guys are lying, or they are playing malicious game, just to add things to Alice. So in that case, the malicious actors lose their reputation, and they won't earn anything. They won't earn any endorse box. So now, the box that you earn from the system, you can convert that to any offset token, like Ethereum or Bitcoin or even US dollars, and you can earn from your box, that you are collecting, to contribute to the platform. So one thing is very important, the box and the reputation score are not transparent, and you cannot buy it, you have to own it, by contributing to the platform in a good manner, not in a malicious manner, and hence it's quite important to be contributing to the platform. So we are envisioning a completely decentralized, serverless architecture, where you just have a UI and no server is satisfactory. My UI, which will be connected directly to Ethereum through local network, and it will be dealing with smart contracts, at least. Our data and content is this total IP address. So at our certificate system, which is another pilot right now, this system will be one of the features in this platform, and we will be building the deployment in this, so that it becomes really easy for everybody, and some people, to deal with this platform. So it will look pretty much similar to what you have said, but I can't be completely completed the way of doing this. There are several use cases for this, the immediate ones that spread to mind are corroding. So what happens is, right now, the important companies for your employers, they have to do a lot of background checks or background verification, they don't do with any validity or what you claim is true. So in this claim, in this endorse, although we can't see that your certificates are authentic, completely authentic, but you have a certain degree of validity in this case. You know, you can globally claim that 10 people are endorsing me, and 100 people are endorsing me, so you can believe this. So it can reduce the time for verification process as well. Advertisements. Advertisements can come on the platform. As a user, you can opt in or opt out of advertising. If you opt in, there will obviously be earning costs and converting them to tokens or dollars, but if you opt out, you won't be earning cash. It can be, it can be a good thing for the AYS case that because of logG right now, all the advertisers, you don't even know because there are ways to process it. But that's a normal procedure. People have to jump through a lot of moves and you have to have a resources like NSC or BI or something like that. Do that. I don't have resources, normal companies don't have them. So this can be a really good thing for your device salesman. As a person, we'll get a set of repetitions both. We'll see what he has, what he hasn't done, what he hasn't done and what he hasn't done. It can also be used in other cases like traditional markets, like Gnosis or Ogre, that's the end of my presentation. Please join us in this platform and be awesome.