time Amazon in the growth of Amazon. And I was started finding out that there were me receiving a counterfeit wasn't something new, that there are others who were complaining about the same problems. And, um, or research I did. The more I learned how big this problem waas. And when I looked at the competitive landscape, the companies that are trying to solve this problem, there were lawyers. And coming from the trading industry, I view this is a technology and data problem that if we can collect data not just for a brand, but the whole category or website or ecos system, that we could create risk profiles on each third party seller based on what they had sold. And so and, uh, writing this whole thesis about this is what I believe. And here's how we're going to go about fixing solving this problem. Eventually, when I felt like it's not something, you know, it's one of these things. You come home at night and on the weekends and your spending all your time, and then you start realizing you're spending more time thinking about this problem and how you're going to solve it, and I eventually just made the step to say, Hey, if I want to do this, I need to do this full time And I calculated and figured out, you know, especially with the companies like Google Cloud, where they actually will give you money when you're starting out of business like they give entrepreneurs money if you use their platform and so figured out how much it was going to cost to start this business In today's world, it's a heck of a lot cheaper than probably was 20 years ago. You know, you don't have to set up phone lines. People can work remote. Um, there's so many different ways that you can create the business. And so I made that leap forward because from my perspective, I was seeing all these people who possibly were at risk because off these third party sellers who were, you know, didn't really don't didn't really care what they were selling to that person. That person unknowingly was buying things. So, for example, someone would unknowingly, by a extension cord that was counterfeit. It hadn't you'll label on it, but that you all level was just printed in a factory in China, and some person uses that product, it's under their couch. Next thing you know, they're Couch is on fire. So I looked at this problem and said, Hey, I have the experience. I have the how I think we can solve this problem And I just felt like I was the right person at the right time to do this. And I felt like if I didn't, people were the continue to get injured. And so so I mean, there's a lot of different motivations. Where in the trading industry, my job really is to make money. I mean, that's how I run a P and l how much we spend in technology and how much profits we generate. And this, you know, starting this business was really you know, I saw the division of how we're going toe other ways that we can use this data. But if we can solve this problem with data and technology, that technology and data could be used for a host of other things that we shouldn't just think of it as we're just this type of company. But we're improving e commerce. And so the motivation of trying to help you know, you don't quite often is entrepreneur, You know, when you work in those 16 hour days continuously and you're working the weekends, you know, Saturdays and Sundays Air very similar. You have been there with your kids. You leave before they wake up, it's dark and you come home. It's dark in their sleep. And so to be motive, you have to have some other additional motivation that can drive you to at times problems. But there is an entrepreneur. You look at a massive problems. Can we solve? And how do we solve it? Because those are the problems that when it's all done with those are things that you want to accomplish. We started. Were there any other questions That you? Yes. What other? Yeah. Which ones? Yeah. Oh, yeah. Definitely. Um, yeah. So yeah. Now? Yeah, yeah. 3 p.m. Is a 3 p.m. Solutions is a artificial intelligence company for e commerce. Initially, our companies started with Brian Protection, but now, actually, let me start this. Let me start this all actually, all over now I think about it. Um, yeah. 3 p.m. Solutions is a artificial

of the data or the content. The listing content, you know it doesn't have six images. Is Thedc Tal 64 characters? That's completeness. And with technology worry, we'll look at the quality because what if six images? They're all duplicates? Well, you might pass for completeness, but you fail for quality or if the images have a low resolution or the content doesn't match up with specifications of the product. And so, as a technology and data company, we're able to look at products across, whether it's Amazon, target, WalMart, Kroger, eBay and look at it and say, Okay, here's the content. That's a resident resonating with consumers and then as consumers. We actually especially during co vid. We saw so many people getting price gouged on the Amazon that we built a price comparison tool. Think about Priceline. This is Priceline for e commerce. So if you're looking at a product and by the way, that product could be on Amazon quite often, because you have millions of third party sellers and billions of listings, someone might get this product and think, Oh, it's because it's consumers were all, um, program to think. Oh, if I buy two the price should be lower. But what we're seeing from the data is quite often, say, if 11 unit is $10. If someone selling three, you would think it would be for under 30. However, we see that three pack for $60. And so we want the consumer to know. Hey, here's the Here's what the price of this product really should be. And if you want it from Target, here's what it is. Or WalMart. Or by the way, here's the authentic listing on Amazon. Here's the price. So through the that's something I think I'm pretty proud of from the sense of really trying to help consumers understand just because we see it from, um a much larger scale as far as the data to see, you know. And also reading consumer feedbacks customer reviews where they're complaining about getting price couched. And so by creating 3 p.m. shop. Yeah, we are able Thio, help consumers. I lost you. Oh, there you are. Whereabouts. Are you You hear me? Yes. Can you hear me? Well, okay. Where are you? Weren't in yet trying to think of where I have folks. I've been fortunate enough, Teoh. A little bit of traveling so I've been to India a couple times

Yeah, a few weeks and is all for me. I mean, yeah, I had this whole plan of how we're going to approach this. Um, and it was just the first few weeks really trying to find people who can help execute this plan. Um, early on, you're doing everything yourself. So whether it's collecting for us collecting the data, um, analyzing data and reporting on the data again, I was able Thio meet with a large studio early on, um, and share what I was planning on doing. They were willing Thio hold off making a decision because they felt that the approach that was taken it would actually solve their problem versus spending money now with people who weren't thinking about how to solve the problem. So early on, I got some good traction. Great feedback. Um, but as a startup, you are everything you are managing limited tech team. You're managing. You know, you probably have a sales person yet, soI wouldn't say the next few months. I don't think companies really get going. I mean, I think it's first couple of years. I started. Get first year I started. Probably got my first customer. We're dealing with mostly enterprise companies. Got a second and a third finally got the position to hire a sales person, you know, And let's just look a, you know, as a startup who at the time we didn't have any funding outside funding, it was, Yeah, I was able Thio, get these couple of clients and were able thio spend money to do this and that we eventually we're able to hire our first sales person who brought in companies like Vera Bradley. Um Kate Spade Penguin, Random House. Uh, so you know, Carrie Green Mountain like start bringing in a lot of big name customers with that, Then we're able to bring in another salesperson who brought in some other very big accountsthat's that's not something like, You know, I'm a startup. I would start up that's been in business for seven years. You know, it wasn't probably till after four or five that I think after three were very good at the brand protection part of the business, you know? All right, 34 and five. And then we became very good at other things. That was our original vision.