46: Ads in AI?

You might be wondering how advertising is going to get put into this AI world. And we're soon going to get into holodecks, which are 3D environments. That, that's for another day, but let's go into it. Advertising in LLMs. Who are you?

Yeah, how's it everyone? And hey robots. Awesome chatting. I'm Jason and co founder CEO of nexat and we are building the native system for the AI era.

All right, so I've been using AI just like everybody on, in my world to talk to, you know, ChatGPT or Grok or Perplexity or Anthropic Cloud or Google Gemini, there's the whole. And if you're over in China, you're using Deep Sea or Baidu's new models to talk with at about everything. And I've been doing a lot of buying on, on AI. You know, I buy my tires on AI, find restaurants on AI. I get tours at Disneyland on AI. I do a lot of things like that. And I think that's going to be. More and more people are going to use AI to do everything in their life. If they have an impact, an intuition about something, they're going to talk to AI, but we don't see a lot of ads. And this, this, you know, know, it's a new world of talking to chat, GPT or GROK and about things. I don't see a lot of ads there. So how are you guys going to sh, shape that up and, and, and get, get ads in there and well, let's back up to 100,000 people. What's happening in AI and ads?

Yeah, for sure. I think you give a very great high level depiction. AI is taking over the world not only in like enterprise products, you know, all those agents, but also consumer world where we increasingly use AI to get to know what's happening in the world. Like it's taking over the search engine and all that. And ads, whenever there's consumer attention, people are using it. Ads is just inevitable. Like Google in the beginning they don't know how to monetize. Facebook in the beginning they don't know how to monetize. And gradually everyone use ads. So it's also inevitable that there will be ads in AI props. And our mission is to make the AI native ads feel good. We don't want in the AI the ads to be intelligent, the ads to be actually helpful. We don't want the ads to be similar to the last generation of disruptive random banner that's hopped around your webpage. So that's the mission we're building towards actually a good intelligent ad system for AI products. So how does it actually work? So basically imagine you're talking with so AI chatbot and you say, I don't sleep well these days, I'm so tired. And we understand you. And based on your profile, based on your contact with user query, we recommend a relevant product. Let's say there's a memory foam pillow that help you sleep better. There's like some scent thing that's greater, more comfortable bedroom environment. We match those products and we seamlessly merge that into the conversation. The chatbot will say that by the way here, the sponsored content that I think can help you a lot this sleep product and help you get better sleep and improve your energy during the day. So it will feel like talking to a front. The ads is no longer random, disruptive. But I could understand you because in the AI age, people review a lot of their preference and concept in the human AI interaction. So we actually know what the people are thinking. We actually know what their pain point is. And we are building a very intelligent AI native ad system to recommend product based on that. So on the high level, this is the product we're working on.

Yeah. Now, I wrote a book on contextual software years ago, so I saw this world coming for a long time where the system that that's on your phone or on your laptop or on your glasses soon is going to really understand your context, right?

Yes.

But advertising has never been really truly contextual. I mean, you know, when you go to Google and you say I'm looking to buy a car, you might get a lot of car ads all of a sudden, but the second you go and buy a car, you still keep getting those stupid ads. Right? And this new world really has an affordance of being much more contextual about where you are, what you're doing, what your intent is and satisfy that with ads. Do you agree or disagree? And how are we going to get these ads to be smarter this time so that they go away when we're after we buy something, right. And we've already made a purchase decision and they show up when we are having a new purchase decision. You know, hey, I want to go on vacation next summer. Okay, that's a good time to bring in some advertising for airplanes and hotels and, and certainly if it's contextual, like hey, I'm going to go on vacation in Greece next year. I want to see ads from Greek hotels, right? And planes that go to Greek. I don't want to hear about, you know, El Al who goes to, you know, Saudi Arabia. I want to hear about, you know, things that are contextually relevant to me at that point. Are we going to get there this time?

Yeah, I think we are much, much closer. Right. And this is due to some fundamental technological shift. For example, I can give you a simple example of how our technology is improving this softness of product. Let's say there is like a college student asking a math problem. That math problem features some ancient Greek philosopher and talking about stuff, right? Some dumb contextual ass will be recommending some history book or philosophy book about ancient Greek philosophy and all that. But what that student actually wants, it's not the simple semantics of the problem, the mass problem involving ancient Greek philosopher. It's actually a math problem solver or, you know, some online AI math tutor that can help them to answer this question.

Right?

So those kind of inferred intent can all be made by just simply, you know, doing keywords match or understanding things on the surface in a very shallow way. And this is exactly what we're doing. Our app engine can absolutely analyze and making reasoning and inference on it, right? So, so like if the user asked, I have been to Greek, I have been to Greece, where should I go next? Our engine will actually use LLM and the reasoning capability is to infer that even though the user mentions Greece and the user is asking where to go next, you should not recommend them like an airline ticket to Greece or I should recommend the airline ticket to Turkey or France. Right? So this kind of reasoning is exactly what this latest generation, or maybe quiet.

Until some of the, until the thing evolves a little bit more or give you ads for travel guides, you know, hey, go pick your next place because there's some really good software travel guides.

You know, something like that. Yeah, exactly, something like that. But you see how these cannot be done by the last generation of simple dump contextual apps and must. You must use the reasoning capability, which is not really, I think actual generalized machine reasoning capability is another thing. Before this JI wave, this is exactly what the technologies enable us to do.

So I spoke at the first Google Advertising conference. So that's one reason I'm talking to you. I know a little bit about advertising and I was the only Microsoft employee to be invited to speak there, by the way.

Wow.

You know, but while I was there, I learned that distribution is really what matters. Why was Google. Why did Google become such a huge company? Well, they had users searching on Google for things and then they, they almost went out of, out of Business. Remember before Bill Gross sold them the ad engine that brought the ads to where the crowd was. Right. How are you going to get your ad engine into OpenAI or Grok from XAI or Perplexity or Google? Well, Google's probably not going to use you, I would assume.

Yeah, yeah. This is very fair, right? Gemini, probably it will be hard for us to get in because Google have a very established analog and probably don't want other people to touch their core business. Right. I would say we have a much higher likelihood to, you know, ChatGPT, Claude or many other smaller companies products. But still it will be tough. I think our thesis is that we believe the future of AI consumer app will be a whole array of different applications rather than one product dominating. Right. So we compare.

You're right on point. ChatGPT is built underneath thousands or you know, many thousands of apps. You know, I used a Travel Planner. There's ChatGPT underneath as the engine for their Chatbot. Right. You go to Gmail, they have Gemini underneath it. Right. So you're right. We probably won't go to ChatGPT all the time to interact with an AI 100%.

And I believe there are some deeper sources that make the whole field more fragmented. The first is that the technology itself, the LLMs and all the JI models are very commoditized and increasingly open. Everyone. It's very, very easy for anyone to build an AI application at an instant. I mean I can hack together a simple AI search engine over a weekend. All the technology is super democratic right now all the models are open source so it's greatly lower the barrier to build AI applications. And also secondly, what we are seeing is that this latest generation of gen AI applications have less of a network effect than the last generation of Internet platforms. So when you use ChatGPT, let's compare ChatGPT with let's say YouTube. The more people use YouTube, the better it will get because all the content creators will upload their video to YouTube because they know all the viewers are there and all the viewers, they know all the content there is. So it's like creates a natural monopoly scenario. There will only be one YouTube of a general video platform of the world. But for ChatGPT is different. I mean right now I use four chatbot apps simultaneously, right, like Groq, ChatGPT, Anthropic Cloud and Dseq. And each of them is good at different things. And you know, so. And also me using chatgpt does not benefit you. Using chatgpt we are interacting with the underlying LLM separate. So they also from those fundamental forces I conclude that this market mechanism is more like a mobile games where one developer make a game where each player play with like the single player game individually as compared to people sort of pull together their content. And we know in mobile games the third party network is a big thing. We see companies like Apple and we want to position ourselves as the applauding for the general application.

Yeah, this is real interesting. You know, I was lucky enough to go around the world to 80 different countries and meet a lot of people who did advertising. You know I went to Australia and met with the Telstra phone executives and they told me oh, if we're not meeting our quota at the end of the quarter, one guy told me I just pop open a bottle of wine and start buying ads Facebook to, to sell phones, right. And starting to write the ads. Well that's a, that's a, a region. Right. But another guy in Brazil told who owned a taco truck and he had three logos on the truck. You know, Facebook, Instagram, Twitter and stuff like that. Right. You see a lot of Mexican food trucks like this with these three logos on them. He wanted to only he, he had a line out of his taco truck and he told me he, he buys as just reach the local consumer in Brazil in his neighborhood to tell people oh, the taco truck is here. Right? And how are. Is your system going to satisfy all these different needs to get to different demographics and different contexts and different locations. Right? Because a taco truck guy in Brazil doesn't want to advertise to somebody who lives in San Francisco. Right?

Yeah, no, that's totally fair to be totally honest. Like a taco truck owner probably not the perfect ideal set of advertiser.

We he might have a chat bot on, he might have a chat bot on his taco truck.

Yeah, that can totally be the case.

So consumers are where I'm going with this. His consumers are use, are going to use first chat bots and, and then we'll get into the futuristic stuff that's coming. But they're using chat GPT or you Microsoft, Bing or whatever to fight to, to interact with the world. And they, they want to see ads. Well, they might not want to see ads, but they're going to be shown ads that'll get them to go to the local taco truck, right?

Yeah, yeah. 100 so your system has to serve.

The ads contextually based on location, based on demographics. Right. You're building an ad network, right? Like you're like Mark Zuckerberg.

Yeah, yeah. Hopefully we can be, you know, something as big as Facebook. But I want to say I'm Mark Zuckerberg right now. That would be too arrogant.

Mark. I mean I remember when Instagram first got bought, Instagram had no sales, no revenues and a lot of people said that's not worth a billion dollars. I said it's worth a hundred billion dollars. Because Mark Zuckerberg had an ad network like what you're building that he could hook up to that and get ads into Instagram and collect a lot of money. And that's proven to be true, right?

100%. 100%, yeah. So we are supporting many of these targeting rules. We know where the users are located based on their, you know, their IP address, we know some of their, you know, conversations so as to have their profiling system. But we are doing it in a very privacy concerning way. Right. Like when Google do this, Google actually put like third party cookies onto your browser. So even though you're not on Google, Google knows what you're doing. Right. So that's, you know, not complying to the user's privacy. But we are only using first party information, right? We, if you're using this chatbot, we're collecting your interacting history with this chatbot and we use that to improve your experience for you on this chatbot per se. But it's not like third party would attract your behavior all across the Internet. And because of the user's interaction history and rich and conceptual informative enough with only first party data, there's a lot we can do with it and to make the ad experience much, much better. So yeah, that's what we're doing and we do already.

I'm already using ChatGPT and Grok to get tours of cities. I mean both of these tools know everything about Las Vegas. You want to find a play, you want to find a nightclub, you want to find a restaurant, you want to find a hotel. They know not only if you tell them where you are, hey, I'm at the Bellagio. What's there to do it? It can talk to you about that. Right. It has a world model built into it that's very different than Google was.

Yes, this system is very different from Google. Google is more like indexing the whole Internet constantly, but it does not have the actual reading and understanding to it. And ChatGPT, it's this information is not that up to date but with the real time web search capability and this reasoning capability, it's doing something that's Much more powerful than the raw Google search.

Yeah, this is real interesting. What's your business model? You know, because you're, I, I see web website owners are putting chat bots into their website. So you probably want your ad network to show up in their little web, their little chat bot, right?

Yeah, yeah, yeah.

Then we have the big players, the chat GPTs and the Grox and the perplexities and the, you know, the anthropic clouds. You probably want your ad network in that as well, right?

Yeah, yeah. Our current business model is more like a revenue sharing model with the publishers because we help publishers make money. Right. So for every $100 we have to make, we take a small cut from it as our commission as because we allow them to more effectively and more non disruptively to do the ads and we take a basic technology commission fee from that, all the revenue share. So for publishers who want to work with us, there's no commitment. Right. Like we don't charge anything. We help you make money and after you make the money, we make money.

Got it. Can you give me a demo of what these ads would look like in a corporate chatbot kind of look context?

Yeah, I would love to. So let me share my screen.

And also let's say Coca Cola has a chat bot on their home homepage and you put ads into that chatbot. Can the owner of Coca Cola say hey, don't be advertising any PepsiCo?

Yes, that's, I mean this is actually many of our publishers are doing, they don't want to show certain lines. I mean a more common theme would be, you know, some, you know, teenager facing chatbots. They don't want to show adult product.

Right.

It's, you know, is something that's similar in the approach and we can do it in a very effective way because we, our analytics engine, we know what the actual content of the chatbots and we, yeah, we don't rely on advertising to report that. We don't want to advertise to the, to the teenagers. We can actually analyze the content to see whether they're, you know, they're against our content.

I would assume you have a dashboard for the, for the Coca Cola or a big company or any company when they're putting ads in their chat bots that they, they would be able to prompt to it and say hey, please don't put any PepsiCo ads, don't put any porn ads. Right. Or whatever, whatever they're.

Because right now it's not exactly like chatbot but you know, we definitely support things like that maybe let me show a little bit of demo. Hopefully it's first time doing a live demo on the recorded setting.

No, no, you can share the screen and hopefully we see your screen soon.

Very, very exciting stuff. Let me share my screen right here. So it will not be a corporate chatbot, it will be one of our publishers, a consumer facing chatbot and iCast, which is an awesome AI search engine that everyone should definitely try. Let's ask a question. Although I might not be the target person, but let me say I want some address. Right. And so it'll be, you know, the, the AI search engine will generate the content first. Let's explain it until it finish. And the sponsored content section is actually our real time generated apps. Yeah, it takes some time for it to load. Okay, looking for perfect summer dress. Check out the stunning grace carrying woman's personified summer floral boho dress. And there's a leak. This is the real time generated ads we are putting and we indicate that this is sponsored content. But since the ad creative is being generated in real time, it feels like very natural. It's not like some banner that's disrupting user flow. It's actually very helpful, relevant suggestions and that's an effect more to achieve. And the user can just directly click the link. If they actually buy it, we get paid.

So if I'm on a bot like this and I ask it, hey, I need lunch today and I live in San Jose, Jose, California. You could have different kinds of food restaurants underneath and it would all be contextual because I don't want to see an ad for address. Right.

Right now we don't have those localized ads there because Internet advertising in general, it's mostly for E commerce, for consumer software that's more global, globalized. Right. For localized ads, it typically show up more on let's say Doordash or more like Google Map. So it's like different focus.

But of course, here's where I'm going is I'm not in five years, I'm not using DoorDash. I'm using something that I talk to and say I need lunch delivered. Right?

Yes.

And then it'll come back and go, what do you want for lunch? I want a hamburger. Then it'll go to doordash for me and come back and say, hey, I have, you know, I have three services that can deliver you a hamburger. Doordash is your favorite. You want the usual kind of hamburger that you got last time. Right. And that's when I want to see your ads. You know, say oh, there's a new hamburger place. Or you know, vendor A is giving me a deal today because they want to win my business.

Something like. Yes. So is that where you going?

You're gonna go more and more.

We are keep expanding to different types of advertisers and keep improving the content understanding engine and we will get there soon. Stay tuned.

Yeah, okay, that, that makes sense to me because you know, this is a new world where I buy everything on AI, I don't go to apps anymore. I don't think people understand how deep, deep this is going to change how people buy everything, right?

Yes.

And this is why Google is at threat of being disrupted because I'm not going to Google anymore. I'm using chat, GPT or GROK to do everything.

Yes. No, this is the future we are building towards and it requires a much more intelligent, much more conceptual ad engine that can cover everything. 100% agree with what you're saying.

Okay. All right, let's talk a little bit about futures, right? Because soon we're going to have a pair of glasses on, let's say three, four years from now, and we're going to have a virtual agent, a humanoid looking thing in the room or a little thing on my screen and I'm going to talk to it and it's going to talk back and it's going to be able to show me things and it's going to be in 3D. Are you already thinking of that's where you're going to take your company? Tell me a little bit about your vision of the company.

I guess. Yeah, that's, that's a good question.

Because the world not to really change.

I know, it's insane. It's actually crazy.

So we're virtual beings, we're going to be talking to virtual beings. You know, I'm going to be talking to like a digital chef. Hey, where should I go for lunch today? Right, well now all of a sudden it's going to answer me with voice. Well, do you have a voice ad?

Yeah, right now we don't, but it's in the roadmap. So our thesis is that all the content we humans consume, we're gradually moving from human generated content to AI generated content. But the content can be in multiple media. Right now is chatbots, text, you know, some image. In the future, of course, there'll be generated videos, there'll be generated audio as a major dominance form, generated 3D content, everything you can imagine. Right. And the content will be different from the last generation of human generated content. Will be very interactive. It'll be generating real time. We'll have user will not just see the media interact with the media. So that's like a major mindset shift. And basically we are building the AdSense for AI generated content and to explore what the best way to do ads on this new form of media to balance between motivation and user experience. That's sort of the ultimate vision we're building towards. And it's not, does not definitely does not restrict ourselves to the chatbot ads we're doing, say in the future, the podcast, you talk to a voice agent and the voice agent will just recommend your product as a friend. The experience will be different from the text or image things and we'll do a lot of native innovations there. But across all these medias there are two things that are shared. One is a contextual understanding. And we actually want to understand in this very interactive new content format when the user is actually thinking and we'll use that information to match them the things they actually find useful and relevant. That's first. And the second thing is that we personalize the ads in real time. Advertisers no longer need to tailor their ads personal. The ads like spend a lot of manual labor to work on what kind of ad creative we will just do all these for. Based on the massive amount of data we have, we're going to do it more intelligently and more personalized. Yeah. So that's sort of the long term goal that we want to build the AX system for all AI generated content.

Working in a retail store, I learned that humans have a pattern of buying a journey of buying back to the going to Greece for vacation next summer. Right. My first buying choice is not going to be what restaurant I'm going to go to in Greece. It's going to be can I get a flight? Right. And so the first time I say I want to go to Greece on vacation, I should see advertising about flights once I buy a flight and it'd be interesting to watch. If you can watch the user buy that and go, okay, click. He bought the flight. Now let's talk about hotels, right? Oh, you buy a hotel. Now let's talk about what to do. Right? There's things to see, museums and shows and restaurants and stuff like that. Do you agree with that? And how is your system going to track a user as they go through a buying tree like that over time? Because I'm not going to do this all in one night with my wife. Right. I'm going to. It'll be months Where I'm talking to it about different things, about Greece, going on vacation. And so do you track the user's preferences and buying choices so that you can get an ad in the user's face at the right time and not bother them after they bought a plane ticket? For instance, I don't want to see ads for, you know, airlines after I've already bought my flight. I want your system to know, okay, he bought a flight. Now let's talk about hotels.

Yeah, yeah, we, you do have a history of the user built out in a very privacy preserving way. We know whichever ads we have in the, in the past and we make inference based on that. Right. It will be like you're talking to a friend. The friend will remember what you guys were talking about and it's a whole experience will be much better because compared with you're talking like browsing and TikTok, browsing, Instagram, browsing, Google, they don't have this granular understanding of the whole user journey, but we do. And from chatbots that we are actually able to build on this very granular user journey and to optimize based on that. Of course it will not be perfect if you do something outside of the chatbot. We have no clue to know. So but as you know, more and more human AI interaction happen. I think that's sort of the general direction we're heading towards.

Yeah. Today if I say I'm buying a car, it starts bringing up ads across the web. Right. Because Google has put that cookie on so many things so that I go over to a restaurant site and I'm seeing an ad for a car. I go to a hotel website and I see an ad for a car. I go to some other information site, I see an ad for a car and in fact they even track the location of the user. So if I went to a car dealership and got close to it, I am walking in and maybe buy a car. There's new ads that say, don't go in there, come over to Joe's Auto place and buy a car here and we'll give you 500 bucks off. Right. Is that sort of the thinking you have that you're going to be operating ads in all these different places so that you can really get much more interactive as a user goes to different websites and uses different chatbots and someday soon have glasses on that they're talking to a virtual being?

Yeah. So this is something that you're talking about whether we sync all the different data from different products. This is a tricky problem. Because sometimes it's not doable based on all the privacy constraints. We want to respect all the user data ownership and all the legal stuff. So sometimes it's not necessarily doable, but when they're doable, we try to create the basic ad experience out there. So the constraint is not really on us, it's really on the user, whether they opt into something like that. And the legal. The data privacy laws.

Yeah, yeah, It's a whole new world. I mean, OpenAI ChatGPT, I was in South Carolina and asked, where's the painted houses? Well, first of all, they're not called painted houses, they're called Rainbow Road. But it's a row of painted houses. A tourist destination, right. And ChatGPT said, oh, they're in. Actually, I was asking Apple Siri and it said, I need to ask that question to Chat GPT because I don't know how to answer that question. So I hit okay on my phone and then I said, oh. It came back with an answer from Chat GPT said, oh, those are in New Orleans and San Francisco. I was like, no, I'm not in New Orleans or San Francisco. I'm asking about South Carolina. Right. And as soon as I said that, it gave me the right answer. But even ChatGPT isn't getting the location from the phone. I. How are you gonna help people as they're talking to these things on their phone, walking around the world if even Chat GPT can't get the actual location of them? Because we know you're about to come out with a map. Right? These have world models. They understand the world. If you know, if you tell them where, what intersection you're at, they can tell you everything about what you're, what it's around you. Right. And that's a perfect place for advertising because if I say I'm in South Carolina in front of the Rainbow Row, I'm hungry. Well, that's a great place for an ad, right? There's Joe's Hamburger Shack just down the street, right?

Yeah. I think based on the type of products we're working with right now, the most common queries are more similar to search engines, online advertising stuff. So the scenario you set, like people interact with apps like map, like DoorDash, and also local Life applications, we are focusing right now that happens that most of the AI applications are more like more online native thing. So people talk about knowledge, questions. How about travel plans for local restaurant? Recommendation is not something that we are seeing a lot in the queries right now. Not yet, but you Will not yet. Not yet. We will definitely develop features like that as you describe as the user behavior shift. But right now it's not the majority.

Of the I study always where are users going? Not where they've been or where they are. Right. That's why I'm asking these questions because I want to understand how how you look at location because ads are going to be integrated into chat thoughts soon and and we're you I'm using chat GPT for everything. I am not going back to going to Google and going to Siri because it's so good. But I do have to tell it where I am. But once I tell it where I am it's so amazing and found me a screw and a Lotus for instance it told me how far down the Nile what aisle it's on. It has a world model in it and that is going to be a very powerful thing for advertisers.

Yes. Yeah, I agree. And this is the world we're going to roll out next.

Okay. So you don't have a location based system today. That comes someday. Okay.

Yeah.

So right now you're going after corporate websites where they're putting a chatbot in a corporate website. A customer comes in, talks to it and then they would get it.

It's it's more like a new consumer facing AI products like I asked. You can think of as like a AI version of Google. So I'm not exactly sure about you know corporate what a corporate website mean but it's like consumer facing website.

I you know you go to Coca Cola, there's a chatbot, you go to United Airlines, there's a chatbot, you go to cnet.com there's a chat bot.

Right now this is not the primary, primary inventory that we're operating. For example for United customer support United Airlines they have their own business model. They probably don't want to put external ads into it. And our ads engine basically supports you can put any ad in the world in that. So operate the best in terms of purely consumer facing products with a lot of traffic or to monetize that traffic. Like for United they have a lot of traffic, they're consumer facing but they don't want to monetize the traffic itself. They want to monetize people actually buying a plain ticket. There's sort of like a very different business model.

Yeah but they don't have restaurants and if you, if you're at United buying a plane ticket to Greece, maybe United would like to have hotel ads.

Yeah, yeah. If you know United People would love to chat about, you know, whether we can do some collaboration.

Yeah, yeah. So you're going to have a corporate arm. Maybe I should come and work on corporate sales.

Yeah, yeah, yeah. There can definitely be some interesting collaborations there.

Cool. What else do we need to know about this advertising world that's coming? It's changing technically. How does. Let's say an app developer has a chatbot as part of their app or. Right. How do they integrate you so that there's ads on their app and they can start making more money off ads in the chatbot?

Good question. So it's very, very easy. Like for most of the web apps we will talk to integrated with us, it takes less than an hour to integrate. So it literally is a few lines of JavaScript code or coding. Whatever language you're using, put it into your app, put it into the front end. Done. We handle everything other than that, all the formatting. We make ads that visually looks very harmonious with the whole page and we make sure that is relevant. Yeah. And all that.

That's cool. A highly prior personalized world is appearing, isn't it?

Yes, exactly. That's a very good way to understand it. And it's personalized. Not only. It's even more personalized. TikTok. It's more personalized than personalized Feed. And the only personalizing the feedback. You also personalize the content itself. The content itself is being generated by AI in a way that's personalized to you.

This is why I'm asking so many questions about location. Because if I walk in with a phone and a chatbot on my phone to a shopping mall, I walk in the front door of a shopping mall, you don't know yet what store I'm going to. Right. All you know is the user entered into a shopping mall. You know, I'd love to see an ad pop up for different stores in the mall. Right. And, and if that is possible, the stores in the mall will buy a lot of ads from you because they know they can talk to the people walking in the front door and convince them to come over to their store. Right. Hey, today we're having a 20% off sale of whatever dresses or whatever come in our store, Right?

Yep, yep, totally. Yes.

Okay, so I'm going to call you back in a year when you had launched your location system.

Yeah, for sure. Sounds good.

Tell me a little bit about your company. And you know, I think you're just getting funded. So tell me a little bit about what's going on in your company.

Right now.

Yeah, yeah.

We just made a seat round by ASUS, by 0.72 Ventures Pros and many other top tier VCs in the Silicon Valley Valley. And we're growing very fast right now. We're a very lean team of six people. There are ex founders who raise millions of scales to millions of users. Ex senior architect, big tech companies. We have researchers from top AGI Labs, one of the most famous ones in the Silicon Valley. And we're recruiting some more awesome people. So it's a truly exciting, stellar team. I'm very, very honored to work with them on business side. It's growing very fast. Yeah, we plan to grow on the order of magnitude for the rest of the year.

And yeah, yeah, totally makes sense because Bill Gross sold his company to Google and that that was the ad network part of Google. So it totally makes sense that we need an ad network as part of this new AI world.

Yes.

And you know, it wouldn't shock me if an open AI or Perplexity or somebody or an Anthropic buys you or at least does a major licensing deal with you. So I understand why Andreessen Horowitz would want to put money.

Yeah, yeah. Let's see how it goes.

Yeah, yeah. Well, execute well and it all should go well. All right.

Yes. Yeah. Thank you so much.

Are you thinking of the robot world at all? You know, we're about to see autonomous cars really change how we buy things in the world. You know, you see the Waymos up in San Francisco, they're everywhere. And now you have a captive audience in autonomous cars, mostly on their phones. Are you thinking about new ad products that are going to be introduced for that? And then, you know, a few years later we're going to see a lot of robots in our businesses and in our homes. And I see a whole change for consumers when a humanoid robot gets accepted in the home. Even if that's 10 years from now, that's going to radically change how we buy things. Are you thinking about that at all or is that for another day?

Yeah, this is something we are thinking about, not actually working on this. As long as there is human AI interaction and real time generated content, we can put ads in it. That's what our technology enables. Right. If there's some sort of intelligent agents in the car or you want to chat with your homebot. Yeah, of course there's no reason we cannot work with that. The exact role, it depends on what the form of the robot, what kind of company operated, what's their business model But I'm sure there'll be new ads format and ad models coming out of this. The entirely new human AI interactions.

Yeah. Tesla has xai, so I assume they're not going to use you. They'll have their own ad network or at least attempt to make one like you are. But there's lots of other car companies in China and around the world that are going to need an LLM in the car for the people in the car to talk to. Right. And yeah, so you can come in with ads as you're talking in the car. But again, it gets down to location. Right. If you're in the car, what are you doing? Hey, take me in and out. That's when you need an ad. Right? Take me to the Apple Store at the shopping mall. That's when you need an ad. Hey grock or hey, hey chat GPT in the car. We, we're, we were going to the museum in San Francisco. That's when you need an ad, right?

Yeah. 100. Yeah, it's totally.

I see a big future.

Yeah, yeah, yeah, yeah, totally.

You can see how this whole world is going to shift because we're not. None of these use cases I'm talking about have anything to do with going to a web page on Google. Right.

Talking to an AI AI generation interaction, very different interaction format.

Yeah, you have a huge future is what I predict.

Thank you so much.

Anyways, where do we learn more about it? Talk to the developers. How do they find your API to hook you in so that they can start making money with their game or their chatbot or whatever?

Yeah, for sure. Just go to netsat ndx ad, that's our main website, the website ndx80 that we have this new 80 top level domain and our, my personal email, our contacts, all out there. So everyone who wants to learn more about us, feel free to visit our website. We're also on Twitter, on LinkedIn and all these platforms.

What's Twitter? I do too. I've been on X or Twitter for 18 years now. It's still in my head. Thank you so much for talking with me. This.

Thank you so much.

It's not a sexy thing. I know people hate ads, but you're gonna get ads anyways because that's how developers get paid in this world where everybody wants everything for free. Right. And ads are hugely important for subsidizing services and getting developers paid so that they can make better, better things for all of us. So thank you.

Exactly.

Perfect.

Thank you, Robo. Thank you. Take care.