WEBVTT 1 00:00:32.200 --> 00:00:38.240 Broadcasting live. It's America's longest running talk show on computers. It's Computer America 2 00:00:38.600 --> 00:00:43.439 bringing you the biggest names in technology with guest interviews. We brought us and 3 00:00:43.759 --> 00:00:49.159 your emails. Listen live at computer america dot com on any device around the 4 00:00:49.200 --> 00:00:54.039 world. Email the show at live at computer america dot com, or find 5 00:00:54.119 --> 00:00:57.799 us on social media. Be sure to check out our website for contests, 6 00:00:58.079 --> 00:01:03.719 giveaways, show notes, video stream podcasts, and more. You're listening to 7 00:01:03.159 --> 00:01:12.680 Computer America. Hello, and welcome everyone into the Computer America Show. We 8 00:01:12.680 --> 00:01:18.159 are the nation's longest running nationally syndicated radio talk show on computers and technology term 9 00:01:18.159 --> 00:01:21.519 podcasts. Everyone, welcome into the program. I hope that you're doing well 10 00:01:21.560 --> 00:01:25.640 and you are ready for today's program, because we have a very special show 11 00:01:25.640 --> 00:01:30.120 where we're going to be talking about the classics aimachine learning but applied in a 12 00:01:30.120 --> 00:01:34.719 new way. And I'm really looking forward to talking with our guests about how 13 00:01:34.799 --> 00:01:41.040 you can use AI and machine learning to really help with marketing. And of 14 00:01:41.079 --> 00:01:42.680 course we're going to throw in a little bit of QR code system in there, 15 00:01:44.000 --> 00:01:47.799 and ladies and gentlemen, this is just it really feels like a natural 16 00:01:48.040 --> 00:01:52.840 evolution to all these technologies and kind of how to apply them a little bit 17 00:01:52.840 --> 00:01:57.040 differently than what you've heard before. So we'll be joined by reloads here in 18 00:01:57.079 --> 00:02:00.680 just a moment. But before we get into that, computer America america dot 19 00:02:00.680 --> 00:02:04.079 com. That's where real find everything, including past shows, future shows, 20 00:02:04.079 --> 00:02:07.000 show notes, articles, reviews, all that and more. You can find 21 00:02:07.000 --> 00:02:09.479 that at Computer America, find us on social media, and of course anything 22 00:02:09.520 --> 00:02:14.599 that we talk about today if you want a link to our guest website if 23 00:02:14.639 --> 00:02:17.039 you want, you know, just anything that may come up on the show. 24 00:02:17.159 --> 00:02:21.479 Everything will be included in the show notes. So of course I'll be 25 00:02:21.479 --> 00:02:24.800 in the descriptions, but of course at computer America dot com. So with 26 00:02:24.840 --> 00:02:28.960 all that being said, that's our introduction. Let's go ahead and bring on 27 00:02:29.000 --> 00:02:32.120 our guests and have some fun. So, as I said before, relotus 28 00:02:32.280 --> 00:02:37.599 dot com, r e l otis dot com if you want to check them 29 00:02:37.599 --> 00:02:40.560 out, we are joined by the founder and CEO, mister Alani Kue. 30 00:02:40.919 --> 00:02:45.800 He is the founder CEO. There we go, but yeah, he's joining 31 00:02:45.879 --> 00:02:49.240 us here and to talk all about the system, what it does, how 32 00:02:49.240 --> 00:02:51.879 it works, and ladies and gentlemen, let's go ahead and get started. 33 00:02:51.879 --> 00:02:55.400 So Alannie, welcome onto the program. Yeah, thank you for having me. 34 00:02:55.800 --> 00:03:00.280 It's a pleasure. It's a pleasure being hideou you know, load to 35 00:03:00.360 --> 00:03:04.240 everyone. And I'm very happy to be you know. I made your show, 36 00:03:04.439 --> 00:03:07.639 right, that's awesome. I made it. Yeah, happy to have 37 00:03:07.719 --> 00:03:10.080 you. Happy to have you. So I think with you know the way 38 00:03:10.080 --> 00:03:14.879 these things go, let's get some background. Let's you know, what is 39 00:03:14.919 --> 00:03:17.159 your past. Have you always been in technology or is this or have you 40 00:03:17.159 --> 00:03:22.919 just been an entrepreneur? What is your background before you got into RELOADUS. 41 00:03:23.759 --> 00:03:30.800 So I spent twenty one plus years in the enterprise technology space. I actually 42 00:03:30.840 --> 00:03:37.360 started as an engineer and then went into more executive roles over the last ten 43 00:03:37.639 --> 00:03:43.000 fifteen years. So we think about supply chain management systems, logistics platforms, 44 00:03:45.039 --> 00:03:50.280 dealing with the US government on a global scale, predominantly with disaster recovery, 45 00:03:50.319 --> 00:03:53.439 and data storage, high performance computing clusters. And over the last few years 46 00:03:53.439 --> 00:03:58.400 in more executive roles, I've been the founder. I've done a few really 47 00:03:58.400 --> 00:04:03.280 interesting projects and now technically for the machine learning and also on blockchain actually kind 48 00:04:03.280 --> 00:04:11.560 of blockchain um technology and showing transparency, inclusion, ubiquity and really technically complex 49 00:04:11.599 --> 00:04:16.040 programs. Um, my expertise really is in simplification and scale. So you 50 00:04:16.040 --> 00:04:23.879 think about RAID application deployment, M rapid application development and scale deployments. So 51 00:04:24.519 --> 00:04:29.199 you know, and and uh, very very very nice sistory. And it's 52 00:04:29.480 --> 00:04:31.560 a natural fit for you know, kind of how we got to RELOADUS. 53 00:04:32.040 --> 00:04:36.000 I wanted to you know, kind of address the because you mentioned blockchain. 54 00:04:36.319 --> 00:04:41.240 There was a there was a time on computer America where when the blockchain was 55 00:04:41.879 --> 00:04:45.160 really really going, everyone was rushing to get a new uh, you know, 56 00:04:45.360 --> 00:04:46.959 a new coin out there. They were rushing to do a new application. 57 00:04:47.000 --> 00:04:50.279 They had a new blockchain that was going to fix everything from you know, 58 00:04:50.360 --> 00:04:55.439 shipping and managing to the medical field to you know, there was a 59 00:04:55.439 --> 00:04:59.639 blockchain for everything. I think a lot of the a lot of the hype, 60 00:05:00.000 --> 00:05:02.519 a lot of the excitement kind of died down. But from your opinion, 61 00:05:02.600 --> 00:05:08.879 and we're going to also tie this into a on machine learning back then, 62 00:05:08.959 --> 00:05:13.079 blockchain is like a buzzword. Did the blockchain when you know, when 63 00:05:13.120 --> 00:05:15.480 all the deaths settled, it's kind of a known technology for people they need 64 00:05:15.519 --> 00:05:20.240 to know about it. Did it have an impact on the technology field? 65 00:05:20.360 --> 00:05:25.959 And then let's say AI machine learning. Is it just a buzzword or are 66 00:05:25.959 --> 00:05:30.560 these technologies going to have an impact on you know, technology at large or 67 00:05:30.639 --> 00:05:34.160 specific fields. So first, I think you know blockchain as a whole, 68 00:05:34.199 --> 00:05:38.519 you have to think about the history and why it came to be right, 69 00:05:38.720 --> 00:05:46.120 So the goal was inclusion, transparency, ubiquity, right, and consensus. 70 00:05:46.279 --> 00:05:53.319 So obviously would any new technology stack. There's an excitement around it, and 71 00:05:53.519 --> 00:05:59.160 the bastardization of any new thing is why everybody was launching a token. It's 72 00:05:59.160 --> 00:06:02.759 actually because there's a lot of projects at the time. They know a lot 73 00:06:02.839 --> 00:06:06.879 more about their tokenomics than their actual products. Many of them didn't even have 74 00:06:06.920 --> 00:06:12.480 a product. You know, they had a coin, right, but it 75 00:06:12.600 --> 00:06:15.120 did nothing. They can only trade it or stake it. They can only 76 00:06:15.160 --> 00:06:19.759 tell you how to defy it. You know, how to earn more coins 77 00:06:20.000 --> 00:06:26.160 from doing complex financial transactions with those coins. But when you ask them what's 78 00:06:26.199 --> 00:06:30.000 the use case? Nine of them had no use case. They had a 79 00:06:30.000 --> 00:06:34.079 white paper, but when you read it, it had no gravitas. So 80 00:06:34.160 --> 00:06:39.480 when you now fast forward, right, that rapid adoption meant a lot of 81 00:06:39.519 --> 00:06:45.680 capital moved predominantly from the retail sector because most people naturally wants the easier out. 82 00:06:45.879 --> 00:06:47.120 So it's oh, man, I can just buy this coin and wait 83 00:06:47.160 --> 00:06:53.040 forward to thousand X and then sell it. Well, they took in a 84 00:06:53.040 --> 00:06:55.959 lot of capital, but there was really no liquidity. There's a lot of 85 00:06:56.000 --> 00:06:59.879 their capital just evaporated or ended up in other projects. So people will start, 86 00:07:00.199 --> 00:07:03.040 for example X token, sell it so that they can take that money 87 00:07:03.040 --> 00:07:09.279 to go buy bitcoin. So the ultimate beneficiary was you know, the bitcoins, 88 00:07:09.360 --> 00:07:15.480 the ethereums of the world, the stable original you know, cryptocurrency projects. 89 00:07:15.560 --> 00:07:20.040 Because many of those quote unquote scam projects was just another avenue to pull 90 00:07:20.120 --> 00:07:25.399 liquidity so they can go buy more bitcoin, you know. So when you 91 00:07:25.839 --> 00:07:30.839 take that yeah, so when you fast forward, now regulators are now saying, 92 00:07:30.920 --> 00:07:33.639 wait a minute, you guys have the opportunity to self government. You 93 00:07:33.680 --> 00:07:36.720 didn't do it, so here we will come and do it for you. 94 00:07:39.120 --> 00:07:45.439 Hence the issue with Secretary Gainsler and the gang at the SEC. You know, 95 00:07:45.600 --> 00:07:48.079 as much as I have my own opinions on what they're doing, quite 96 00:07:48.120 --> 00:07:54.639 frankly, the blocks in industry had an opportunity to self government and they never 97 00:07:54.720 --> 00:07:59.120 did it. Okay, So it's like the child who had many opportunities to 98 00:07:59.160 --> 00:08:03.879 clean up his room do it, And here comes mom and dad saying, 99 00:08:03.959 --> 00:08:05.360 okay, you know what, We're gonna take away your video game. We're 100 00:08:05.360 --> 00:08:09.279 gonna take away your cell phone, and then we're gonna teach you how to 101 00:08:09.399 --> 00:08:13.279 clean your room, not the way you want to, how to win through 102 00:08:13.360 --> 00:08:18.480 and what tools to use, and you go practice that. When you come 103 00:08:18.519 --> 00:08:20.879 back, you'll earn your video gaming, your cell phone, and your car 104 00:08:20.920 --> 00:08:24.920 keys back. And now the kids throwing a tantrum, saying, my parents, 105 00:08:26.319 --> 00:08:28.439 parents just don't understand right, like the old Will Smith Will Smith song, 106 00:08:30.199 --> 00:08:33.679 all these all these dumb rules that don't you know that shouldn't apply to 107 00:08:33.840 --> 00:08:35.279 us. But yeah, yeah, yeah, I got your good, good 108 00:08:35.279 --> 00:08:39.519 analogy exactly. So if you act like children, we will treat you like 109 00:08:39.679 --> 00:08:43.000 children. So they need to be adults in the room. So now AI 110 00:08:43.440 --> 00:08:48.679 comes behind that. So can you imagine if the blocks and industry adopted you 111 00:08:48.799 --> 00:08:54.639 know, rules of engagement and then AI comes on top of that. Imagine 112 00:08:54.639 --> 00:08:58.799 how much value would have been unlocked through that exercise. But they fail at 113 00:08:58.879 --> 00:09:03.840 that. Now Air a machine learning its hair, and everyone's trying to pivot 114 00:09:03.039 --> 00:09:09.039 to amail, right, okay, but aimail yet to have a use case 115 00:09:11.120 --> 00:09:13.960 you have to have a use case. You have to solve simple problems that 116 00:09:15.200 --> 00:09:20.720 anybody understands, not vanity problems, not vanity metrics, not cool things. 117 00:09:20.320 --> 00:09:24.000 Unfortunately, in a lot of blockchain you have folks who build cool tools so 118 00:09:24.120 --> 00:09:28.399 they can go brag on Twitter about the cool thing they just built, maybe 119 00:09:28.440 --> 00:09:31.720 for them and their friends. And the question I always asking them is did 120 00:09:31.720 --> 00:09:35.080 you build this for humans or you built it for you and your bodies so 121 00:09:35.159 --> 00:09:37.919 you can go get Twitter likes? Right? Nine times out of ten the 122 00:09:39.120 --> 00:09:41.320 vanity tools. You know, no one needs another wallet, did you know 123 00:09:41.399 --> 00:09:46.360 wallet? No one needs another block Explorer, right, No one needs another 124 00:09:46.759 --> 00:09:50.200 you know, fancy tool that only people who live in you know, the 125 00:09:50.320 --> 00:09:54.000 Western world with certain infrastruar. You know, vanity problems. You know, 126 00:09:54.080 --> 00:09:56.559 they are people out there who are starving. There are people who have real 127 00:09:56.679 --> 00:10:01.759 problems they're trying to solve every day. You know, cool things don't matter 128 00:10:01.840 --> 00:10:07.080 to them. So and you know we've seen that with AI and machine learning 129 00:10:07.120 --> 00:10:09.519 when it came too like chatbots. You know, everyone a lot of big 130 00:10:09.559 --> 00:10:13.600 companies we're trying to create chatbots, and you know there might have been a 131 00:10:13.720 --> 00:10:16.039 use case down the road, but when they created them. They were just 132 00:10:16.159 --> 00:10:18.240 kind of like, oh, we'll train it, and you know, it'll 133 00:10:18.279 --> 00:10:20.840 do a thing, and you know, maybe it'll be cool and maybe we'll 134 00:10:20.879 --> 00:10:24.320 do something with it later. You're and you know, all of the conversation 135 00:10:24.360 --> 00:10:28.720 we just had, you're saying that AI machine learning needs to be like, 136 00:10:28.039 --> 00:10:31.240 it's a very cool technology, but it needs to be targeted to solve a 137 00:10:31.399 --> 00:10:37.279 problem. And you chose, I guess uh, you know, reloadus too, 138 00:10:37.399 --> 00:10:43.440 you know as your use case. I guess correct. So two rules 139 00:10:45.559 --> 00:10:50.879 in any industry, you cannot scale what you can simplify. And secondly, 140 00:10:52.799 --> 00:10:56.519 if your key value proposition isn't obvious, that means even you don't know it 141 00:10:56.600 --> 00:11:01.679 well enough. Right. So if you take Google, for example, you 142 00:11:01.759 --> 00:11:07.320 know, twenty five or so years ago and this very day, the homepage 143 00:11:07.360 --> 00:11:11.759 looks the same. We all know there's a lot of technology behind it, 144 00:11:13.080 --> 00:11:18.639 right, But when you go to Google, it's one search bard low cognitive 145 00:11:18.919 --> 00:11:24.039 load. Anybody can go there and they know what's going on. Love or 146 00:11:24.080 --> 00:11:28.200 hate the company. They nail that to the point where the company name is 147 00:11:28.240 --> 00:11:35.759 now used as a verb. Yeah, that's simplicity at scale. It's Yahoo. 148 00:11:35.200 --> 00:11:41.200 On the other hand, older than Google, once one of the largest 149 00:11:41.240 --> 00:11:48.320 companies in the world. Right has had an identity crisis for thirty plus years. 150 00:11:48.080 --> 00:11:52.360 The homepage has always been busy. You don't know which one is a 151 00:11:52.440 --> 00:11:56.200 Yahoo find. Too much going on today. And as a matter of fact, 152 00:11:56.279 --> 00:11:58.519 they have the opportunity to acquire Google. They have the opportunity to acquire 153 00:11:58.600 --> 00:12:03.799 Google pennies on the dollar at twenty million or something like that. Yeah, 154 00:12:05.159 --> 00:12:11.000 today Google is one of, if not the largest company on the planet non 155 00:12:11.080 --> 00:12:13.960 financial, if you exclude Black Rook in Citadelle and you know those guys, 156 00:12:16.519 --> 00:12:24.080 Yeah, who is a department of the Horizon? Okay, Yeah, you 157 00:12:24.200 --> 00:12:30.039 can't simplify, you can't scale it so so and and and then of course 158 00:12:30.120 --> 00:12:35.399 to um that's of course a very famous story in technology. I'm sure someone 159 00:12:35.440 --> 00:12:39.759 at Yahoo has been kicking themselves for a long time. Um. But when 160 00:12:39.840 --> 00:12:46.879 it comes to UM, so simplifying and what you're saying is we need to 161 00:12:46.960 --> 00:12:52.480 simplify when it comes to AI machine learning, we need to make it simple 162 00:12:52.559 --> 00:12:56.279 for the customer because right now, like whenever we have talked about in the 163 00:12:56.360 --> 00:12:58.519 past, creating these things, you either copy and paste when someone else has 164 00:12:58.519 --> 00:13:03.639 done, or you go out and hire some people and a lot of money, 165 00:13:03.639 --> 00:13:05.960 a lot of effort goes into this thing called like a black box that 166 00:13:07.039 --> 00:13:09.559 no one really knows how it's done. You want people to use AI machine 167 00:13:09.639 --> 00:13:13.480 learning for you know, for reloss case. You want to be very simple. 168 00:13:13.759 --> 00:13:16.360 I guess it's the point you're getting at. You want end users to 169 00:13:16.399 --> 00:13:20.960 be able to harness this and they just go somewhere and it just does what 170 00:13:20.559 --> 00:13:26.440 they needed to do. That's correct. Correct, So what reality is? 171 00:13:26.519 --> 00:13:33.360 This is basically AI that streamlines enterprise data insights for you know, specialty controlled 172 00:13:33.399 --> 00:13:39.440 items, which humanizes information, reduces compliance risks, and increases sufficiencies. Whether 173 00:13:39.480 --> 00:13:43.600 you're a manufacturer or directed directed constrom, a brand or a distributor. What 174 00:13:43.759 --> 00:13:50.360 that means is whether you're a marketing genius, or you're a warehouse worker or 175 00:13:50.440 --> 00:13:56.240 you're an intern. Right wherever you are across the value chain, you can 176 00:13:56.399 --> 00:14:05.440 interact with the system in humanized like human language. It's so simple you have 177 00:14:05.600 --> 00:14:09.559 to want to not use it, do not know how to use it? 178 00:14:09.799 --> 00:14:15.159 Onboarding time in fifteen seconds or less. Quite frankly, how how was that 179 00:14:15.159 --> 00:14:18.240 accomplished? Did you get a bunch of people that didn't know you know really 180 00:14:18.320 --> 00:14:22.840 anything or was that constant iteration and just finding pain points? Um? I 181 00:14:22.919 --> 00:14:28.840 mean that simplification that that could not have been a quick process. How long 182 00:14:28.919 --> 00:14:31.919 have you been kind of working on on relotus? It took about a year 183 00:14:31.960 --> 00:14:37.519 and a half actually, and it was there were moments where we're thinking, 184 00:14:37.600 --> 00:14:43.080 oh, man, why is this a stealth exercise? Because as a matter 185 00:14:43.120 --> 00:14:46.519 of fact, you know, and and and part of folks who participated in 186 00:14:46.639 --> 00:14:48.759 that, you know exercise. You know, we had someone who spent you 187 00:14:48.799 --> 00:14:54.000 know, fourteen years with Central Intelligence, um and you know you will find 188 00:14:54.039 --> 00:14:58.320 out at some point, you know, and about ten years at the Federal 189 00:14:58.360 --> 00:15:03.759 Bureau of Investigation, we had you know three you know AI blockchain, very 190 00:15:03.879 --> 00:15:11.519 brilliant devs who pretty much built entirely chains from scratch, and also non technical 191 00:15:13.279 --> 00:15:16.799 users. Right, so you have a very healthy mix of Okay, if 192 00:15:18.440 --> 00:15:22.600 I'm coming from a certain world and a multimath thiss what what am I looking 193 00:15:22.639 --> 00:15:26.559 for? What am I seeing? Right? And you have folks who have 194 00:15:26.879 --> 00:15:31.039 nothing to do, so you have both experts from different perspectives looking at it 195 00:15:31.080 --> 00:15:37.120 and providing direct feedback. So what then happens is you look at how do 196 00:15:37.240 --> 00:15:41.799 we unlock value using aimail, you know, in a way that analyze millions 197 00:15:41.840 --> 00:15:48.879 of personas and data points right share the insights to improve performance, creating and 198 00:15:48.039 --> 00:15:56.080 deploying that those data sets with authenticity using deep learning, natural language processing, 199 00:15:56.120 --> 00:16:00.320 and email insights to automate this processor talking about you know, how do we 200 00:16:00.399 --> 00:16:07.399 take human learning model and optimize it right to use customer interaction and product delivery 201 00:16:07.679 --> 00:16:15.600 using this technology in a submission less low cognitive load matter. Yeah, so, 202 00:16:15.799 --> 00:16:19.279 so some cares when a company wants to start using this product. Are 203 00:16:19.360 --> 00:16:23.799 you pulling data from data points that are already being you know, kind of 204 00:16:23.840 --> 00:16:26.039 captured because I know that you know, there's a lot of on the back 205 00:16:26.159 --> 00:16:30.320 end that kind of uh, you know, tracks what the customer does and 206 00:16:30.559 --> 00:16:33.000 you know, kind of other points that may deter them things like that. 207 00:16:33.120 --> 00:16:38.759 Like what I'm saying is is there can this just use the data that is 208 00:16:38.759 --> 00:16:42.919 already captured by most companies or do you have to kind of onboard onto the 209 00:16:44.000 --> 00:16:47.639 system, Let the system run for six months in the background, capture new 210 00:16:47.879 --> 00:16:51.960 different, you know, very specific data points, and then you can train 211 00:16:52.039 --> 00:16:55.240 your model and do it. Or can anyone just jump in and you can 212 00:16:55.279 --> 00:17:02.039 start using reloadists right off the bat. So first things first is we have 213 00:17:02.159 --> 00:17:06.559 to you're using controlled data sets, right, and that for us is a 214 00:17:07.559 --> 00:17:14.160 couple of days because we're not using public information. We're using information that's protected, 215 00:17:14.720 --> 00:17:18.640 got walls around it. Unlike consumer GPT technology that says, oh we're 216 00:17:18.640 --> 00:17:22.279 just going to Google to open source intelligence, you know, and script Wikipedia, 217 00:17:23.039 --> 00:17:26.599 script whatever. In many cases it just gives your false information. Right. 218 00:17:27.200 --> 00:17:30.279 So for you know, when you take that enterprise perspective and say we're 219 00:17:30.319 --> 00:17:34.599 looking at control data sets, right, data that's non public. Right, 220 00:17:34.680 --> 00:17:40.200 So if you have say four petabytes or ten terabytes of data that's been sitting 221 00:17:40.200 --> 00:17:44.599 in an SAP server for a company, you know that I've accumulated over years. 222 00:17:44.640 --> 00:17:48.519 So the realities goes in and just force through that data. And we're 223 00:17:48.559 --> 00:17:52.279 talking a few days. And it's a continuous process, right, So whether 224 00:17:52.319 --> 00:17:56.640 you start on day one or six months, it's a continuous process is constantly 225 00:17:56.759 --> 00:18:03.880 looking and refining. Know that that data set and it as it refines it, 226 00:18:03.119 --> 00:18:08.680 right, he's able to finesse. So you have increased accuracy right just 227 00:18:08.880 --> 00:18:12.400 by looking at you know, so the data itself is proprietary, you know, 228 00:18:12.480 --> 00:18:15.960 the data sets you're looking at. It's not public, so I have 229 00:18:15.160 --> 00:18:21.640 data accuracy I mean anybody, and from my perspective, and feel free to 230 00:18:21.640 --> 00:18:26.200 correct anything I'm saying because you're you're definitely you know, ahead above me when 231 00:18:26.240 --> 00:18:29.000 it comes to all this. But from from my understanding, like that, 232 00:18:29.319 --> 00:18:33.119 that's where you really want to be, because when it comes to machine learning, 233 00:18:33.400 --> 00:18:36.720 when you use those public data sets and like those much much bigger data 234 00:18:36.759 --> 00:18:40.200 sets, um, everything just kind of comes out, you know, the 235 00:18:40.319 --> 00:18:45.079 same flavor, and everything's just kind of I guess, like a muted version 236 00:18:45.240 --> 00:18:48.000 of what AI and machine learning can be. But when you you know, 237 00:18:48.039 --> 00:18:49.799 like you said, you use a custom data set, Uh, it's much 238 00:18:49.880 --> 00:18:53.319 more I don't want to say, like active, much more like accurate or 239 00:18:53.839 --> 00:18:57.680 you know, useful, I guess to the customer, right, yes, 240 00:18:57.920 --> 00:19:03.559 yes, it's it's it's controlled and it's non public. It's more useful. 241 00:19:03.759 --> 00:19:07.960 It's more accurate, right, more insightful. It's also familiar. So I'll 242 00:19:07.960 --> 00:19:15.079 give you a quick example. We all know that vanity metrics are a scam. 243 00:19:18.359 --> 00:19:22.759 Think about this. Many companies will spend one hundred thousand a million dollars 244 00:19:22.960 --> 00:19:30.400 a month to go to social media marketing ads. Right, Yeah, they 245 00:19:30.480 --> 00:19:36.599 get a million, like one hundred thousand shares, you know, maybe another 246 00:19:36.599 --> 00:19:41.039 one hundred thousand new followers. Won't you ask them those million did you get 247 00:19:41.039 --> 00:19:47.319 a million new customers or one hundred thousand new customers? Then they start giving 248 00:19:47.319 --> 00:19:51.119 you the fancy answers. Well, we look at engagements. I don't need 249 00:19:51.160 --> 00:19:55.240 all the fancy marketing mundo jumbo. At the end of the day, it's 250 00:19:55.240 --> 00:20:00.160 all vanity metrics or okay, half those interactions our ball from the platform to 251 00:20:00.240 --> 00:20:06.839 make you think you're getting new engagement. You don't really have any really meaningful 252 00:20:06.880 --> 00:20:11.640 insights. It's a scam. So, well, you're you're really buying the 253 00:20:12.279 --> 00:20:15.039 so and that's what you know. That's where you're on. You're buying the 254 00:20:15.119 --> 00:20:19.319 social media's product, which is uh, the engagement. You're buying there, 255 00:20:19.400 --> 00:20:22.279 and of course they want to sell you the best product they can, so 256 00:20:22.319 --> 00:20:25.480 I guess they're selling you, uh, the engagement. They're selling you the 257 00:20:25.559 --> 00:20:29.200 like the visibility. But you're right, you know that that's not a strict 258 00:20:29.400 --> 00:20:33.279 customer that that is uh, that's actually you're you're paying money for a product 259 00:20:33.319 --> 00:20:37.880 and that product is visibility. But you know what that really means to a 260 00:20:37.960 --> 00:20:42.440 company. Yeah, correctly, and we've seen and we've seen the exposure on 261 00:20:42.680 --> 00:20:48.359 that front where we've realized that half at least of those interactions are blots. 262 00:20:49.000 --> 00:20:53.720 You know just what two years ago when Facebook or subpoena to provide even last 263 00:20:53.839 --> 00:20:57.480 year during the one must Twitter fiasco where the world turned out, you know 264 00:20:57.519 --> 00:21:02.880 what, fifty six percent you know of the Twitter user base or just box 265 00:21:03.640 --> 00:21:07.039 and he put out that one intent, We're going to clean up the platform 266 00:21:07.039 --> 00:21:10.079 and many of you might lose, you know, a chunk of your followers. 267 00:21:10.240 --> 00:21:12.359 It's just because we're cleaning up a platform. So you start to look 268 00:21:12.400 --> 00:21:17.640 at and you realize that, I mean, I boldly call it a scam 269 00:21:17.839 --> 00:21:22.000 because for the longest time, it actually started way back during the geocds and 270 00:21:22.160 --> 00:21:26.319 Yahoo days. You put up a banner at an HTML. You got to 271 00:21:26.359 --> 00:21:27.880 coach, you pay for it for clicks, and people are going to India 272 00:21:29.039 --> 00:21:32.200 click click click farms in India. You pay you know, a thousand dollars 273 00:21:32.240 --> 00:21:36.000 and you get a bunch of kids in the room just clicking under you know, 274 00:21:36.079 --> 00:21:38.599 to put your page rent value up to make it look like you get 275 00:21:38.599 --> 00:21:42.079 a lot of the users. Right, So where AI know where realtives comes 276 00:21:42.119 --> 00:21:45.799 in. It is gone away with all that. Okay, you look at 277 00:21:45.839 --> 00:21:52.839 a control data set, right, and every unique data point about that customer, 278 00:21:53.279 --> 00:21:59.799 which is history, brand association, timing, be hit everything, location 279 00:22:00.000 --> 00:22:04.160 awareness, GEO, everything is embedded in their QR code. So if you 280 00:22:04.279 --> 00:22:11.160 bought a pair of Nike sneakers, for example, right, the think about 281 00:22:11.200 --> 00:22:18.359 it this week. The most the most exciting time that you love to hear 282 00:22:18.480 --> 00:22:22.920 from your vendor is when you receive your product. I'm sure is that a 283 00:22:22.960 --> 00:22:27.400 show on microphone? You have? H This is yes, yes, so 284 00:22:27.559 --> 00:22:32.240 sure did you get it? Did you get it on Amazon? Um? 285 00:22:33.039 --> 00:22:36.759 I think I was actually talking to the shore manufacturer themselves when I got it. 286 00:22:36.880 --> 00:22:37.880 So yeah, that they've been on the show a few times. So 287 00:22:38.119 --> 00:22:42.039 but yeah, okay, okay, that's okay, mini indulsement for sure. 288 00:22:42.559 --> 00:22:47.519 No, no, they I was talking about you guy. But but no, 289 00:22:47.759 --> 00:22:49.920 I uh, I see your point. You know, when let's say 290 00:22:51.119 --> 00:22:53.599 my let's say my monitor. I have a big old monitor, um, 291 00:22:53.759 --> 00:22:57.079 and I bought that off Amazon, and you know I've enjoyed it for a 292 00:22:57.160 --> 00:23:00.640 long time. So please continue with your a You're good. There you go. 293 00:23:02.119 --> 00:23:06.640 So when it arrived at your doorstep and you see that package. As 294 00:23:06.640 --> 00:23:08.680 a matter of fact, when you look down your driveway and you see that 295 00:23:08.720 --> 00:23:11.759 Amazon truck and you know you're expecting something, whether or not it's your stuff 296 00:23:11.799 --> 00:23:17.480 being delivered, there's a dopamine rush in your head. My stuff is here. 297 00:23:18.079 --> 00:23:22.200 When it's actually your stuff, you know, it just goes up. 298 00:23:22.599 --> 00:23:25.559 You're at the door, you see your name on it. It feels great 299 00:23:26.440 --> 00:23:30.440 because that's when you're most excited to hear from your vendor. Every other time 300 00:23:30.559 --> 00:23:33.759 you don't care. You don't want to see ther spam emails. You don't 301 00:23:33.759 --> 00:23:36.839 want to see any of that stuff. So imagine now you get your shot 302 00:23:36.960 --> 00:23:38.880 microphone and they say, hey, we see you bought the shore and based 303 00:23:38.880 --> 00:23:41.519 on what you bought in the past, you bought all the related brands for 304 00:23:41.720 --> 00:23:45.960 this short microphone. However, right, you can get you know, a 305 00:23:45.839 --> 00:23:52.119 you know, Cloud sound optimizer for it if you're in the next discount. 306 00:23:52.400 --> 00:23:56.880 Oh, by the way, you know there's a pro tools component that goes 307 00:23:56.079 --> 00:24:02.720 so all of that based on your unique behavior on the platform, and it's 308 00:24:02.759 --> 00:24:07.759 incentivized. Right, So now, as a customer locause this is relevant I 309 00:24:07.920 --> 00:24:11.039 was saying earlier, if you bought a pair of Nike sneakers. It looks 310 00:24:11.160 --> 00:24:14.279 well, you've bought Nike, you bot reblock you but whatever, yes, 311 00:24:14.400 --> 00:24:18.759 what there's a para of Nike socks that's your size that if you order the 312 00:24:18.880 --> 00:24:22.000 next two weeks, whatever, hair, they're incentives. So oh, by 313 00:24:22.039 --> 00:24:23.160 the way, it's in a warehouse. Now you say you can order the 314 00:24:23.240 --> 00:24:26.319 same day before knowing them, get it by two o'clock today. So all 315 00:24:26.359 --> 00:24:30.640 of those unique characteristics. And that's just a tip of the iceberg, because 316 00:24:30.640 --> 00:24:36.599 now we're getting into other areas like pharmaceutical industries where if you are a diabetic, 317 00:24:36.680 --> 00:24:42.079 for example, and you've been paying for a certain insulin product, right, 318 00:24:44.079 --> 00:24:48.720 and we can look in the system and we know that based on what 319 00:24:48.880 --> 00:24:51.319 you're buying, based on where you live, based on your age, you're 320 00:24:51.440 --> 00:24:56.200 likely retired across to retirement, here is the equivalent, generic version with the 321 00:24:56.279 --> 00:25:03.839 same characteristics to save you money on your healthcare costs, valuable data or insights. 322 00:25:04.240 --> 00:25:08.759 Yeah, I and and that really um I wanted to you know, 323 00:25:08.920 --> 00:25:14.759 touch on that a little bit because there's certainly, uh, it's almost like 324 00:25:14.880 --> 00:25:18.759 scary the situation that you set up because of how much you know I'm sure 325 00:25:18.799 --> 00:25:22.640 people have experienced it themselves, but it seems almost predatory that there's a machine 326 00:25:22.680 --> 00:25:26.960 out there, there's a system out there that is you know, kind of 327 00:25:26.200 --> 00:25:30.559 almost reading your mind. Like obviously it's just you know, predicting the next 328 00:25:30.599 --> 00:25:33.079 thing and you know, kind of using conclusions to arrive that. You know, 329 00:25:33.160 --> 00:25:36.680 hey, you may want those socks that like you said, um, 330 00:25:37.000 --> 00:25:41.200 but there is a there's a positive influence for consumers out there. And I 331 00:25:41.359 --> 00:25:45.839 really like your example for the diabetics that you know, there are generics, 332 00:25:45.920 --> 00:25:48.359 there are cheaper things, there are things that you need that you don't even 333 00:25:48.440 --> 00:25:51.319 think you know that you don't even think about that could really help you in 334 00:25:51.359 --> 00:25:56.359 your situation. Like there's there's a positive aspect, Like obviously there's a positive 335 00:25:56.400 --> 00:25:59.880 for companies that you know, you can get more conversions, get more you 336 00:26:00.119 --> 00:26:03.680 get more customers. But for the customer there's a value there too, right, 337 00:26:04.799 --> 00:26:08.240 excuse me, absolutely, And that's the point when we start to look 338 00:26:08.279 --> 00:26:14.079 at all the areas where AIML is very valuable, you know, predominant relatives 339 00:26:14.160 --> 00:26:17.880 because you look at and I use a healthcare you know example, you know 340 00:26:18.079 --> 00:26:22.160 that's a very very very very easy one among many you know, but again, 341 00:26:22.160 --> 00:26:26.400 as I said earlier, we have to look at technology from a use 342 00:26:26.519 --> 00:26:34.079 case perspective. Is it solving relatable, tangible problems, not just vanity problems. 343 00:26:34.160 --> 00:26:37.359 So the guy who wants to order a Nike, that's a convenience thing. 344 00:26:37.720 --> 00:26:40.920 Okay, if the world's not going to end, if you don't have 345 00:26:41.000 --> 00:26:45.079 any Parniki sneakers, I think you know the person you know who's ordering monitors, 346 00:26:45.200 --> 00:26:48.440 again, that's a convenience you know, I call it a first world 347 00:26:48.519 --> 00:26:52.839 problem, right. But when you start getting into healthcare, for example, 348 00:26:52.880 --> 00:26:56.799 it's not just you know, there's all the elements like that. People today 349 00:26:56.880 --> 00:27:00.440 who can't pay their rank, they have to choose between the your rent and 350 00:27:00.519 --> 00:27:04.920 ther health. Okay, that's why you start to unlock value, right. 351 00:27:06.319 --> 00:27:08.359 And then you get into other industries, you know, whether it's you know, 352 00:27:10.160 --> 00:27:15.440 a manufacturing director, consumer brands being able to again optimize for certain product 353 00:27:15.559 --> 00:27:19.359 lines based on unique behaviors, not the conventions say spray and pray. Right, 354 00:27:19.599 --> 00:27:25.319 let's your offer every discount and hope some of them take it. That's 355 00:27:25.359 --> 00:27:29.880 wrong, okay, And it's debatable you talk about the invasive nature. It's 356 00:27:30.279 --> 00:27:34.480 because again you have to give people the choice if value is there, most 357 00:27:34.559 --> 00:27:41.920 people are reasonable. Most people are reasonable if you demonstrate value, right, 358 00:27:41.400 --> 00:27:45.559 it's a give or take. I always say that, you know, if 359 00:27:45.599 --> 00:27:49.720 I was in the US Senate, for example, I will push to I 360 00:27:49.720 --> 00:27:55.359 will push very hard to pass a law that says, every time you sign 361 00:27:55.480 --> 00:28:00.799 up for a social media account, okay, then to tell you how much 362 00:28:00.920 --> 00:28:08.200 they will make momentizing your data every year, and you should have the right 363 00:28:08.279 --> 00:28:14.839 to ask for a piece of those spots I have. I've heard that argument 364 00:28:14.920 --> 00:28:18.519 before. It's uh. And to a lot of people it's like it's like 365 00:28:18.640 --> 00:28:22.839 what a company pay me like that that company would never would never work. 366 00:28:22.920 --> 00:28:26.039 But at the same time, it's like company's making a lot of money off 367 00:28:26.079 --> 00:28:30.880 here and you don't even know it, Like it's yeah, yeah, So 368 00:28:30.039 --> 00:28:34.119 it's a it's a shared responsibility. You can't socialize the cost while privatizing the 369 00:28:34.160 --> 00:28:38.440 games, right. So from a blockchain, that's part of what blockchain does. 370 00:28:38.960 --> 00:28:42.640 You know, Platforms like mask Protocol, which you know I've worked very 371 00:28:42.680 --> 00:28:48.119 closely with, do exactly that. Brave Browsing kind of tries to do that 372 00:28:48.359 --> 00:28:52.200 where the revenue they shared across the user base so they get at loyal user 373 00:28:52.240 --> 00:28:57.079 base obviously, right, but that's part of the promise of blockchain that to 374 00:28:57.240 --> 00:29:03.880 your earlier observation, your point you ambassidized where people sold the Louhangen through the 375 00:29:03.880 --> 00:29:08.000 of just lunching a coin, right, and they can and somehow they lost 376 00:29:08.240 --> 00:29:15.359 you know that that that broadermission statement, right, So and and uh to 377 00:29:15.720 --> 00:29:18.640 bring this back around to to reload us and you know, um here here 378 00:29:18.640 --> 00:29:22.000 are my notes, and you've mentioned a couple of times with the QR code. 379 00:29:22.519 --> 00:29:27.160 Uh, tell us about your product maybe go through Uh well, actually, 380 00:29:27.279 --> 00:29:30.599 let's let's just focus on Uh. So there's a QR code that goes 381 00:29:30.640 --> 00:29:36.160 onto a product and I guess that like does a customer scan that is that 382 00:29:36.319 --> 00:29:40.359 just something that goes through um, you know, like the point of sale 383 00:29:40.559 --> 00:29:42.079 and you know that's when you kind of know who buys it and what goes 384 00:29:42.119 --> 00:29:47.160 in the payment information? Like how does reloadus kind of track all this or 385 00:29:47.519 --> 00:29:51.559 how does the QR code work into your service? Okay, So, so 386 00:29:51.680 --> 00:29:56.240 the platform itself just looks at historical data. So an API call an API 387 00:29:56.319 --> 00:30:02.680 connection just okay, hey, we're gonna give you API access to our whether 388 00:30:02.759 --> 00:30:06.039 it's your warehouse management system or your CRM system, whatever you use, it 389 00:30:06.079 --> 00:30:10.079 doesn't matter what it's platform and SAP or cooled, g D Edwards or whatever 390 00:30:10.119 --> 00:30:15.000 the platform is, it looks at it and it starts to peace and pass 391 00:30:15.440 --> 00:30:18.839 through all of those data points. Because every customer normally has a customer ID 392 00:30:19.519 --> 00:30:22.640 and no tough customer IDs are the same. So you get the primary key 393 00:30:22.720 --> 00:30:27.039 and it's a tree like a pyramid, and they just bore down into you 394 00:30:27.119 --> 00:30:33.880 start to build a narrative. So each whether it's five customers or five billion 395 00:30:33.039 --> 00:30:40.079 customers, each one it's a unique entity. And as it passes through that, 396 00:30:40.480 --> 00:30:45.759 all of those fine data points are embedded in that smart QR. It's 397 00:30:45.759 --> 00:30:49.599 actually attached on the box. So when it's coming up with conveyor belts some 398 00:30:49.759 --> 00:30:52.319 point, it's like to put inserts in, you know, it's just it's 399 00:30:52.319 --> 00:30:56.279 just a time little sticker that goes on the box, right, Okay, 400 00:30:56.920 --> 00:31:03.079 and what happens. Also remember I could be a guy in marketing or finance 401 00:31:03.400 --> 00:31:07.359 or whatever, just to ask the system, you know, tell me my 402 00:31:07.559 --> 00:31:15.759 most active customer in Charlotte, North Carolina, or my least active customers in 403 00:31:15.160 --> 00:31:22.640 or my least five active regions in New England or Texas or whatever it is, 404 00:31:22.880 --> 00:31:30.559 and editor you and recommend incentives or engagement programs or initiatives for those regions. 405 00:31:32.000 --> 00:31:36.599 How do we increase sales in our least activity. It's just human language. 406 00:31:37.079 --> 00:31:41.000 And what happens is since it's passed through all that data, it will 407 00:31:41.000 --> 00:31:44.839 spit it out to you. Oh, the least active regions are New York 408 00:31:45.440 --> 00:31:49.680 discounties, right, These are the products and brands they've interacted with in this 409 00:31:49.880 --> 00:31:55.680 timeframe. And to reengage them take these actions, do you want to yes 410 00:31:55.839 --> 00:32:00.519 or no? Yes, boom, it says to you know, and at 411 00:32:00.559 --> 00:32:05.359 the point where products go out, it's already embedded. So the guys down 412 00:32:05.440 --> 00:32:08.559 stream they just see a printed PR code on that box that's just going out. 413 00:32:08.759 --> 00:32:13.359 They don't even put all that sort of the taking care of Yeah, 414 00:32:13.480 --> 00:32:17.000 that's I hope that value. Yeah, and you kind of answer. The 415 00:32:17.440 --> 00:32:22.880 next question I had was when you had that situation where you know, uh, 416 00:32:22.240 --> 00:32:24.559 and for anyone out there watching the video portion, you can see, 417 00:32:24.640 --> 00:32:28.799 you know, we can kind of showing the website in the background where you 418 00:32:28.839 --> 00:32:32.240 get those real time, the real time recommendations to optimize each customer. Um. 419 00:32:34.359 --> 00:32:37.359 So my next question was, you know is that is that also automated 420 00:32:37.440 --> 00:32:39.720 to you know, put out you know, a ten percent sale or stuff 421 00:32:39.759 --> 00:32:44.160 like that, or is that where the human steps in and goes, Okay, 422 00:32:44.240 --> 00:32:46.920 I'll take these recommendations and apply them. And it sounds like your system 423 00:32:47.039 --> 00:32:51.000 can also just you know, either say yes or no, and then your 424 00:32:51.039 --> 00:32:54.759 system can take it away and start to do the recommendations that it recommends. 425 00:32:57.079 --> 00:33:00.799 Correct. So once it's actually going to ask you do you should I do 426 00:33:00.920 --> 00:33:05.000 this? Basically do you want these incentives activated? It's you just say if 427 00:33:05.000 --> 00:33:07.119 you say no, field or nothing. If you say yes, everything's automated 428 00:33:07.559 --> 00:33:14.880 and all you just see the spat out. So it's so again the point 429 00:33:14.960 --> 00:33:21.359 being low cognitive load so that it's scalable makes makes perfect sense. So so 430 00:33:21.519 --> 00:33:23.599 so tell me about your existing customers. I mean, what's the feedback then, 431 00:33:23.720 --> 00:33:28.680 because uh, you know, development time and development in a lab is 432 00:33:28.720 --> 00:33:32.079 one thing. Testing it in the real world. Has it been you know, 433 00:33:32.240 --> 00:33:35.640 kind of like amazement. Has it been? Uh? Yeah, this 434 00:33:35.759 --> 00:33:42.440 is really handy. How's the response to Actually it's been phenomenal because we started 435 00:33:42.519 --> 00:33:49.480 with you know, two um two of the largest distributors of vaping products in 436 00:33:49.599 --> 00:33:54.039 the US, and you know, it's a very highly regulated industry. They 437 00:33:54.200 --> 00:34:00.839 cannot legally advertise on conventional channels, they can't give a way freebees, they 438 00:34:00.880 --> 00:34:07.160 can do any of that, you know. So we were able to integrate 439 00:34:07.200 --> 00:34:13.039 into their system and unlock by just reselling to their existing customers new new customers. 440 00:34:13.920 --> 00:34:21.000 So now you're generating millions just going back you're existing customers who bought from 441 00:34:21.039 --> 00:34:29.000 you by engaging them in a much more accurate, you know, decisive manner. 442 00:34:29.199 --> 00:34:34.119 Because again that's what unlocks value. Okay, by engaging them in a 443 00:34:34.159 --> 00:34:38.159 way they understand based on their preferences, not just a spray impress. Most 444 00:34:38.239 --> 00:34:42.840 people would just go, oh, let's just block send an email blast to 445 00:34:42.920 --> 00:34:47.039 all our twenty million. No, if you fact, this is again where 446 00:34:47.159 --> 00:34:52.679 you unlock value. Because now we go into this industry, right, retarget 447 00:34:53.079 --> 00:35:01.079 those who are bought either recently or so long ago based on their unique characteristics. 448 00:35:01.800 --> 00:35:07.039 Right, and they start buying again. You can say, and we're 449 00:35:07.039 --> 00:35:09.159 going to go tell, you know, give us at least performing regions and 450 00:35:09.239 --> 00:35:15.119 how we can optimize based on brand, you know, brand loyalty purchasing patterns. 451 00:35:15.239 --> 00:35:17.039 And you go in there and they go, okay, go to Charlotte, 452 00:35:17.400 --> 00:35:23.719 go to you know, Miami, Florida, go to Philadelphia. Offer 453 00:35:23.840 --> 00:35:30.639 these incentives because these brands that you carry are active in those regions, I 454 00:35:30.760 --> 00:35:37.480 think, and you can have more incentives based on your distribution locations being closer 455 00:35:37.519 --> 00:35:42.159 to those customers in those regions. Oh, by the way, these customers 456 00:35:42.239 --> 00:35:46.400 live near metropolitan areas, and these are also related brands that are currently offering 457 00:35:47.079 --> 00:35:50.679 X, Y Z the incentive. So you start and you hit go, 458 00:35:50.920 --> 00:35:54.159 and all that's buried in there. So the customer, right, what happens 459 00:35:54.280 --> 00:35:59.639 is they get the product, they go, Oh, not only do I 460 00:35:59.719 --> 00:36:01.800 say on this product, there are all these all the related things that I 461 00:36:01.960 --> 00:36:06.239 had done and they're in the past, I had in the record with in 462 00:36:06.239 --> 00:36:07.320 the past, and I would have them in a while. And they're offering 463 00:36:08.039 --> 00:36:17.480 so information, clarity, engagement, right, transparency that it don't need analysis 464 00:36:17.559 --> 00:36:22.480 paralysis. Yeah, and I'm sure that there's a lot of marketing people out 465 00:36:22.519 --> 00:36:27.360 there that are that are definitely because there's so many ways nowadays, so many 466 00:36:27.400 --> 00:36:30.039 promises out there of how to market your product and the returns and all that 467 00:36:30.119 --> 00:36:35.119 kind of thing. This really seems to take even more data points than you 468 00:36:35.159 --> 00:36:38.679 know, one person can really take at once themselves. What product do you 469 00:36:38.719 --> 00:36:42.360 think this really benefits from? Like, is this like a food soft drink 470 00:36:42.400 --> 00:36:45.119 thing, Is this like a clothing thing or you know, we talked about 471 00:36:45.119 --> 00:36:49.679 the healthcare in the medical field. What products do you think best would benefit 472 00:36:49.880 --> 00:36:54.400 from a system like this the quite friends, I think healthcare and direct to 473 00:36:54.440 --> 00:37:00.960 consumer brands. I think for me personally, I really do. I'm pushing 474 00:37:00.000 --> 00:37:05.760 hard with healthcare. Part because healthcare is an ongoing issue in this part of 475 00:37:05.800 --> 00:37:10.239 the world. Yeah, because the costs you know to individuals and families such 476 00:37:10.239 --> 00:37:17.280 as astronomical, and that's a very right area for disruption. Yes, we 477 00:37:17.400 --> 00:37:24.920 have companies who deliver you know, medication to different neighborhoods, individuals, retirement 478 00:37:25.000 --> 00:37:30.239 homes, senior homes, all that, but I think there's a lot of 479 00:37:30.280 --> 00:37:35.719 infrastructure built around it, but the cost either remains the same or goes up. 480 00:37:37.480 --> 00:37:42.280 So they're inherent imail and on love value to make life easier. That's 481 00:37:42.440 --> 00:37:45.440 where I really see it's going now, and I really appreciate that they can 482 00:37:45.519 --> 00:37:50.559 answer, because you know, healthcare, we spend more per capita than any 483 00:37:50.599 --> 00:37:53.480 other country, but we get you know, in some cases much inferior healthcare 484 00:37:53.519 --> 00:37:57.639 out there. You're right, and you know, using the resources that we 485 00:37:57.719 --> 00:38:00.639 obviously pour into it more effectively. I guess that's really at the heart of 486 00:38:00.760 --> 00:38:05.559 of RELOADUS is you know, kind of efficiency when it comes down to it, 487 00:38:05.760 --> 00:38:13.039 So make perfect fit exactly. And then secondary areas is the complete opposite, 488 00:38:13.119 --> 00:38:17.159 which is director consumer branch, you know, especially toys, kids, 489 00:38:17.239 --> 00:38:22.760 toys for example, you know, being able to leverage the tech to say, 490 00:38:22.840 --> 00:38:24.480 hey, you know, here are the toys your kids like. By 491 00:38:24.519 --> 00:38:27.920 the way, oh, you bought you know, a Voltron set or you 492 00:38:28.000 --> 00:38:32.320 bought Legos for example, by the way, you know, here are related 493 00:38:32.480 --> 00:38:37.679 items to this product, right, based on what you what you bought and 494 00:38:37.760 --> 00:38:43.199 what you know, what you what you what your you're you're purchasing patterns look 495 00:38:43.280 --> 00:38:45.800 like right, whether it's standard. Because when you get a Lego box, 496 00:38:45.880 --> 00:38:49.559 for example, especially around the holidays, is because you're gonna get visitors, 497 00:38:49.599 --> 00:38:53.280 they're gonna get family most of the time, so family kids. If you 498 00:38:53.360 --> 00:38:58.159 have Lego boxes, I hope a whole bunch of grown up folks I aren't 499 00:38:58.159 --> 00:39:01.840 sitting around playing with Legos. But back to your audience, Um, but 500 00:39:01.920 --> 00:39:07.760 a bunch of kids and let's be frank, kids equals germs. You want 501 00:39:07.760 --> 00:39:14.159 to get hand sanitizers. So my point is makes sense. There's there's ways 502 00:39:14.320 --> 00:39:16.400 we can live. For example, you bought a show microphone, chances are 503 00:39:16.440 --> 00:39:21.079 you're other building a studio. You know, you actually out of an office. 504 00:39:22.039 --> 00:39:27.440 Right, So again you know AI and mL looks at that based on 505 00:39:27.559 --> 00:39:29.840 your patterns. You know, if you bought that, then you have an 506 00:39:29.880 --> 00:39:32.000 air on chair. We can build a whole narrative around that. But you 507 00:39:32.039 --> 00:39:36.639 also control that because when you do stand that QR code, you can opt 508 00:39:36.679 --> 00:39:42.800 out the future. Uh, you know communication. That being said, if 509 00:39:42.880 --> 00:39:46.880 the engagement is useful and there's a key valley prop that's very obvious and you 510 00:39:47.000 --> 00:39:57.079 benefited from it, ninety six percent of engagees don't all out simply because it 511 00:39:57.159 --> 00:40:02.559 makes sense. It's the Sammy Stills these stuff that turns people off. Right. 512 00:40:05.280 --> 00:40:07.679 Yeah, there's always a system where you know, opt in versus opt 513 00:40:07.719 --> 00:40:14.000 out, and it's uh, you know, people are what is the old 514 00:40:14.039 --> 00:40:17.239 role It's like ninety ten like opt in, Uh, ninety ninety percent people 515 00:40:17.239 --> 00:40:22.079 will not ten percent if people will opt out, ninety percent people will not 516 00:40:22.199 --> 00:40:24.280 opt out, and ten percent of people will but yeah, if you spam 517 00:40:24.400 --> 00:40:30.480 them constantly with the same and you know, um, I uh to give 518 00:40:30.800 --> 00:40:35.480 to give you an example that I have my personal life. There's UM like 519 00:40:35.880 --> 00:40:38.000 clothing stores like you know, Dillard's, Belk, you know whatever. At 520 00:40:38.079 --> 00:40:42.360 some point in the past ten years, I've signed up for you know, 521 00:40:42.559 --> 00:40:47.400 a lot of their mailing stuff. Um, you know ai uh, I 522 00:40:47.559 --> 00:40:52.239 use Gmail like everyone else. At some point they've all been filtered out, 523 00:40:52.360 --> 00:40:53.840 you know, for spam, for not clicking their links. It was just 524 00:40:53.920 --> 00:40:58.320 not effective. And at some point even Google was like, you know, 525 00:40:58.679 --> 00:41:00.599 these are just getting annoying, Like we're not going to show you these anymore. 526 00:41:00.960 --> 00:41:04.480 So you're saying that your system can you know, kind of do a 527 00:41:04.559 --> 00:41:09.239 little bit better job than eventually getting caught by the spam filter exactly the person 528 00:41:09.400 --> 00:41:13.199 is what I'm gonna saying out of emails. Yeah, it's just straight. 529 00:41:13.639 --> 00:41:16.679 I mean that QR code as or starts. So think of something, you 530 00:41:16.800 --> 00:41:24.480 know, we actually funny enough compare to conventional UM engagement models, which is 531 00:41:27.519 --> 00:41:30.920 obviously pay for play, you know, price per click, you know, 532 00:41:30.679 --> 00:41:37.360 cost for meal and all that. Right, Yeah, you just don't even 533 00:41:37.480 --> 00:41:44.000 pay a dime unless someone actually uses a QR code. Yeah, and and 534 00:41:44.320 --> 00:41:46.159 I was going to ask you a little bit about you know, kind of 535 00:41:46.239 --> 00:41:52.039 where your business comes into the play, because you know your business and uh, 536 00:41:52.119 --> 00:41:54.360 and the point is to uh, you know, provide a service and 537 00:41:54.480 --> 00:41:58.760 get paid for it. That's always important. UM. When it comes to 538 00:41:59.039 --> 00:42:02.760 the cost, We've had people on the show before that have said I have 539 00:42:04.239 --> 00:42:09.000 revolutionized UM. We had a company on that did the satellites shipping lanes and 540 00:42:09.199 --> 00:42:13.920 they're like, you know, we have redone the system for UM for redoing 541 00:42:13.960 --> 00:42:17.000 the shipping lanes across the Indian Ocean in the Pacific Ocean. And I'm like 542 00:42:17.119 --> 00:42:20.119 that's great. It's like, yeah, we just need to get everyone to 543 00:42:20.159 --> 00:42:22.039 switch over to it. And I'm like, do you think they're going to 544 00:42:22.119 --> 00:42:27.159 abandon everything, restructure everything, and you know, put in new hardware to 545 00:42:27.320 --> 00:42:30.039 get this going. And it's like, well, you know maybe. So 546 00:42:30.159 --> 00:42:32.960 when it comes to cost for businesses, UM, you know, how much 547 00:42:34.960 --> 00:42:37.559 is there is there a high kind of paywall to get into this or tell 548 00:42:37.599 --> 00:42:42.480 us about the pricing scheme that you've come up with. Yeah, So first 549 00:42:42.480 --> 00:42:45.679 things first, you know, AIML is a four plus trillion dollar industry and 550 00:42:46.719 --> 00:42:53.159 the potential you know, valley capture is simply astronomical. We're talking to five 551 00:42:53.599 --> 00:43:00.440 percent KR, right, so for ross is on boarding is actually zero. 552 00:43:00.599 --> 00:43:07.719 There you what tests of this model is worked? Okay? Convention as I 553 00:43:07.760 --> 00:43:15.639 said earlier is you know, pay per click or legacy platforms, but the 554 00:43:15.719 --> 00:43:23.679 relatives platform it's actually pay per engagement. So it costs a customer, our 555 00:43:23.800 --> 00:43:34.320 customer zero to get onboarded, get activated. They pay only when that end 556 00:43:34.440 --> 00:43:42.679 user saves that QR code scancing real engagement any quartfrent and it's very transparent. 557 00:43:42.719 --> 00:43:51.000 It's twenty cents a click. There you sale sale or our customers it's about 558 00:43:51.000 --> 00:43:57.519 eighty five dollars right, Some are up to three four hundred dollars per sale. 559 00:43:58.280 --> 00:44:04.960 Would you pay eighty cents or one hundred dollars sale? I mean twenty 560 00:44:05.000 --> 00:44:09.280 cents four hundred dollars? Would you pay twenty cents for an eighty hundred dollars 561 00:44:09.320 --> 00:44:14.880 sale? Yeah? Yeah, would you pay? Would you pay one hundred 562 00:44:14.880 --> 00:44:19.760 thousand dollars four one hundred thousand Facebook lights when half of them a box? 563 00:44:21.719 --> 00:44:24.880 So when and then you know, it does kind of raise the question why 564 00:44:25.039 --> 00:44:30.719 you felt this wasn't um no, that wasn't necessary, but um, clearly 565 00:44:30.920 --> 00:44:36.079 you could have had where uh, you know, put a little algorithm in 566 00:44:36.119 --> 00:44:37.440 there and be like, you know, your average sale. You know, 567 00:44:37.679 --> 00:44:42.400 this customer's average sale was one hundred dollars, So we're going to take you 568 00:44:42.480 --> 00:44:45.400 know, maybe a percentage or a sliding scale or something like that. Twenty 569 00:44:45.440 --> 00:44:50.119 cents per click is pretty standard. Uh, do you think that's going to 570 00:44:50.239 --> 00:44:52.480 change in the future, You know, the value that we give you is 571 00:44:52.599 --> 00:44:55.719 going to be a percentage or a sliding scale that you give back to us, 572 00:44:55.960 --> 00:45:00.440 or are you just looking for something that you know this is to grow 573 00:45:00.679 --> 00:45:04.239 and you think at you know, at large, this is going to stay 574 00:45:04.280 --> 00:45:08.960 pretty low. That number is going to remain. Um so long as I'm 575 00:45:08.960 --> 00:45:15.320 at the hell all right right now? That's that's that's definitely great. And 576 00:45:15.599 --> 00:45:19.280 and and tell us a little bit real quick about like the templates, because 577 00:45:19.360 --> 00:45:22.679 you know, here just so everyone knows, and again you can find this 578 00:45:22.760 --> 00:45:25.960 on your website. Clearly, give a custom project, you seem very open, 579 00:45:27.039 --> 00:45:30.119 knowledgeable, and you will work with you know, a larger company that 580 00:45:30.239 --> 00:45:35.079 needs a more custom option. Sure, but for other companies out there, 581 00:45:35.559 --> 00:45:37.880 tell us about templates because I think this gets into the part where you're saying 582 00:45:38.079 --> 00:45:43.159 low. You know that's all overhead. You just very simple. So tell 583 00:45:43.239 --> 00:45:49.280 us about templates. So, templates are just mechanisms that users can use to 584 00:45:49.559 --> 00:45:53.679 customize their own interface. Right, So if someone if if your customer scans 585 00:45:53.719 --> 00:45:57.400 at QR code, where do you want them to go to? Right, 586 00:45:57.599 --> 00:46:00.480 directly to a shopping cord, directly to a and they paid directly to a 587 00:46:00.639 --> 00:46:07.960 branded version of the system. So we provide multiple templates again to give customers 588 00:46:07.000 --> 00:46:14.840 a flexibility to taylor that last mile and user experience. You know, so 589 00:46:15.079 --> 00:46:22.480 their industry right to whatever within the confines of templates of course, to whatever 590 00:46:22.039 --> 00:46:27.880 end, extend ease or experience they want for because remember, once they scare 591 00:46:28.159 --> 00:46:35.239 cure our code, we've brought that customer back in. It's still important, 592 00:46:35.559 --> 00:46:39.480 you know, it's still incumbent on the customer to complete that conversion. We've 593 00:46:39.519 --> 00:46:44.679 done our part at that point. So to help ease that transition. That's 594 00:46:44.719 --> 00:46:49.280 why those templates exist and they continue to grow for them, How can we 595 00:46:49.400 --> 00:46:52.280 make that last mile easier that journey? Help? Can we help you complete 596 00:46:52.320 --> 00:46:55.199 that process? And in most cases, I mean a few cases we've had 597 00:46:55.239 --> 00:47:01.559 so far, they just wanted their own templates and you know it's they have 598 00:47:01.639 --> 00:47:05.000 to use it if you want to use it, right, they just mix 599 00:47:05.079 --> 00:47:10.239 that journy easier. So it's the lower the cognitive load making easy. Yes, 600 00:47:10.480 --> 00:47:15.880 our job very important. Uh. And and one more thing I want 601 00:47:15.880 --> 00:47:19.480 to touch on because you you mentioned it a way at the beginning and I 602 00:47:19.599 --> 00:47:22.440 wanted to raiterate because it's always a priority here on our show. Uh. 603 00:47:22.800 --> 00:47:27.679 Security when it comes to handling data stuff like that. You know you mentioned 604 00:47:27.719 --> 00:47:34.000 you have an you accept people's APIs on your end. Is security of consideration 605 00:47:34.199 --> 00:47:36.760 or is this running on? You know, you go to Starbucks and you 606 00:47:36.920 --> 00:47:38.960 kind of not knock out the project while you're a Starbucks. Like, how 607 00:47:39.360 --> 00:47:45.400 important security to your company? Well? First things first, is a closed 608 00:47:45.440 --> 00:47:49.760 loop system, so it's not available to an Intel decorhire. If you're not 609 00:47:49.840 --> 00:47:52.480 a customer of ours you have, you just don't have access to the system. 610 00:47:52.159 --> 00:47:57.800 And they every security protocol today. Remember, you can't work with you 611 00:47:57.880 --> 00:48:02.239 know, a small company the same way you work with a large enterprise company. 612 00:48:04.239 --> 00:48:10.119 The reason most large companies move slow, it's because they're mature and there 613 00:48:10.239 --> 00:48:17.719 was process. Process means protocol means security means governances, transparency, accountability because 614 00:48:17.719 --> 00:48:22.280 you have to report on those things, and that from an enterprise perspective, 615 00:48:22.480 --> 00:48:27.679 is baked into the system. Again I said, it's not a public facing 616 00:48:27.760 --> 00:48:32.119 system. It's not available to anybody unless you're a customer that has the unslayer 617 00:48:32.239 --> 00:48:38.559 contract with us. You don't even get to see it. The same way 618 00:48:38.599 --> 00:48:42.840 you just go to Yeah, the same way you're just gonna go to SAP 619 00:48:43.039 --> 00:48:45.360 and say, hey, give me an SAP account or given an Oracle account. 620 00:48:45.440 --> 00:48:51.400 You who are you? Right? Yeah? For sure? For sure? 621 00:48:51.639 --> 00:48:54.280 So uh so so realists, you have launched, you have a website. 622 00:48:54.320 --> 00:48:58.239 Obviously, people can contact you, you know if they want to get 623 00:48:58.360 --> 00:49:00.840 you know, get things going. What stage area because we have a question 624 00:49:00.920 --> 00:49:07.639 here about individual investors venture capitalists. Um, obviously you know you've you've started 625 00:49:07.719 --> 00:49:10.159 it. Now is are you at the point of trying to scale the company 626 00:49:10.400 --> 00:49:15.239 and you know, try to get more more money in there to hire people 627 00:49:15.360 --> 00:49:20.320 and do more Like what stage of of of growth are are you in? 628 00:49:21.880 --> 00:49:24.639 Yes? So with the two enterprise you know customers in the system, it's 629 00:49:24.719 --> 00:49:30.519 been phenomenal, um and will continue to leverage those relationships and as you saw, 630 00:49:30.639 --> 00:49:35.199 they've actually gone to baffle us very publicly UM and some of the you 631 00:49:35.239 --> 00:49:38.840 know um items that we've seen on Yahoo plans and other areas. So where 632 00:49:38.920 --> 00:49:42.519 it is right now is in the growth stage. I mean, we're in 633 00:49:42.679 --> 00:49:46.639 market, we're in service. You know. Reals is one of the only 634 00:49:46.920 --> 00:49:53.159 three omail platforms that actually has revenue and paying customers. And I challenge anybody 635 00:49:53.239 --> 00:50:02.039 to dispute this every other Yeah, imal platform. It's still an experiment there 636 00:50:02.079 --> 00:50:07.440 in the lab. Okay, there is a ton of money at hypervaluations. 637 00:50:07.760 --> 00:50:14.599 They still perform an experience stability yea stability AI. They just got caught two 638 00:50:14.679 --> 00:50:17.559 months ago who just ripped chat, GPT and rebranded and there is a quarter 639 00:50:17.719 --> 00:50:22.559 of a billion dollars on top of that with your hand in the cookie jar, 640 00:50:24.079 --> 00:50:27.519 very similar to to like you mentioned, with all the different tokens and 641 00:50:27.599 --> 00:50:30.719 coins that were happening with with you know, everything was just a bit a 642 00:50:30.880 --> 00:50:36.039 rip off of ethereum, you know. And yeah, anybody can go and 643 00:50:36.159 --> 00:50:40.480 GitHub and fork a rebol and rebrand it and call it. I'm launching my 644 00:50:40.559 --> 00:50:45.559 own chain. As a matter of fact, I did an experiment. I 645 00:50:45.760 --> 00:50:49.840 launched the chain. You know, this was last year. That's part of 646 00:50:51.320 --> 00:50:57.320 R and D exercise launched in all fifteen minutes, launched the chain. Okay, 647 00:50:58.599 --> 00:51:00.400 put him and I'm going to mechanics. Even a high level justist that 648 00:51:00.440 --> 00:51:06.880 they put about three hundred dollars into a initial liquidity and in about thirty minutes 649 00:51:07.400 --> 00:51:10.559 when you looked, you know, on being you know, um Binance, 650 00:51:10.800 --> 00:51:16.280 some of the advocators out there had the big exchanges in the company had a 651 00:51:17.079 --> 00:51:22.119 forty five million dollar market cap in fifteen minutes. Yeah, welcome to crypto, 652 00:51:22.400 --> 00:51:29.840 right, Yeah, that's the government. Yeah, there you go. 653 00:51:30.159 --> 00:51:34.000 And I run valid I've build valido programs, I've run valido program for a 654 00:51:34.199 --> 00:51:38.360 lot of really big change. Actually wrote a paper on valido governments and I'll 655 00:51:38.360 --> 00:51:40.840 share that link with you and you can share out with your users as well. 656 00:51:43.119 --> 00:51:49.719 You look at that, I should not be able to do that, 657 00:51:52.920 --> 00:51:54.599 you know what I mean, I should not be able to do that. 658 00:51:57.719 --> 00:52:00.679 But but but that, but that that's really the state that we're in. 659 00:52:00.800 --> 00:52:06.159 And I said that that initial excitement about a technology, Um, you know, 660 00:52:06.320 --> 00:52:08.280 there's there's of course going to be people excited lick you that are going 661 00:52:08.320 --> 00:52:13.000 to start companies and you know, have an idea and you know, really 662 00:52:13.079 --> 00:52:16.679 try to apply the technology in a new and you know, innovative and productive 663 00:52:16.719 --> 00:52:20.280 way. But there's going to be others that are just going to be like, 664 00:52:20.400 --> 00:52:22.519 oh, there's excitement here. That means there's money to be made here, 665 00:52:22.639 --> 00:52:25.159 and that's what's going to ruin it for a lot of people. But 666 00:52:25.599 --> 00:52:35.400 uh yeah, and I I just shared the link to the papers dot com. 667 00:52:35.519 --> 00:52:37.840 It's an academic it's a good read. You can share that with your 668 00:52:37.840 --> 00:52:45.760 audience world. It's why governments it's important because these chains become holygar keys at 669 00:52:45.880 --> 00:52:53.920 best, scammers at worst. Okay, because anybody can lunk to chain and 670 00:52:54.079 --> 00:53:00.519 get five of the buddies to set up you know, one hundred dollars computers 671 00:53:00.559 --> 00:53:04.239 as validators and say hey, here's my chain, we have five validators, 672 00:53:04.559 --> 00:53:08.960 here's a coin, go buy it, and people just flock to that stuff. 673 00:53:09.039 --> 00:53:13.159 You know, there was a time similar to the click farms from back 674 00:53:13.199 --> 00:53:15.960 in the day. You know, there were you know, farms where people 675 00:53:15.960 --> 00:53:21.079 would just go to certain countries, pay a bunch of people, you know, 676 00:53:21.559 --> 00:53:23.920 give them ten dollars each to pretend people are buying. There's a lot 677 00:53:23.960 --> 00:53:27.559 of ten dollars transactions on the chain, and people think, oh, people 678 00:53:27.599 --> 00:53:32.559 are buying this coin right, candy pylon and exponentially it's a snowball effect, 679 00:53:34.599 --> 00:53:37.039 you know. So how do you implement governance? How do you put on 680 00:53:37.119 --> 00:53:42.960 transparency and accountability? Yeah? Yeah, and and I would like to share 681 00:53:43.000 --> 00:53:45.639 this set out there that you know, they say something like when it came 682 00:53:45.639 --> 00:53:49.800 to cryptocurrency, and then and then I'll get off topic and we'll kind of 683 00:53:49.800 --> 00:53:52.159 wrap it up here, but I could say, like cryptocurrency, they said, 684 00:53:52.159 --> 00:53:55.480 like two percent of all transactions are you know, either fraud or not 685 00:53:55.599 --> 00:54:00.119 fraudulent, but like through scammers and you know and other people like that. 686 00:54:00.679 --> 00:54:05.119 Nine it was proven that like ninety percent of transactions are you know, cryptocurrency 687 00:54:05.199 --> 00:54:07.800 one wallet to the other wallet where the two wallet owners are the same person, 688 00:54:07.920 --> 00:54:12.639 you know, the same person transfers transfers it or launders it or do 689 00:54:12.719 --> 00:54:15.480 something like that. So that means like eight percent of all transactions out there 690 00:54:15.800 --> 00:54:22.639 are like legitimate transactions between two parties, two percent out there are scammers, 691 00:54:22.800 --> 00:54:25.360 and ninety percent is all just fluff. It's all just you know, fake. 692 00:54:27.800 --> 00:54:30.039 So yeah, you know, finding actual value and use case for you 693 00:54:30.079 --> 00:54:34.599 know, crypt out there, Like that's a budding market even though it looks 694 00:54:34.679 --> 00:54:37.800 big, it may not be as big, and AI can very much be 695 00:54:37.880 --> 00:54:43.800 the same way. But finding good products that utilize the technology in a you 696 00:54:43.880 --> 00:54:45.960 know, in a useful way. That's that's where we're at. And I'm 697 00:54:46.000 --> 00:54:50.800 really happy that you know, you decided to come to us with three lotus 698 00:54:50.840 --> 00:54:52.960 because it sounds like you're you know, that's what you're going for useful. 699 00:54:54.280 --> 00:54:58.239 Yes, yes, again, we humanize it so we can scale it. 700 00:54:58.480 --> 00:55:01.599 You can't scale what you can sim and that's what Realtist does. And going 701 00:55:01.639 --> 00:55:06.320 back to your final question a few minutes ago, I think from an investment 702 00:55:06.360 --> 00:55:09.360 perspective, we are in market. We're in service with contracts with customers, 703 00:55:09.679 --> 00:55:15.440 okay, with revenues, so we are scaling. Okay, Well I'm not. 704 00:55:15.559 --> 00:55:21.679 We're not interested in you know what I call glorified loan agencies. Right, 705 00:55:21.960 --> 00:55:24.360 it's the right. We're calling partners, not even investors, with the 706 00:55:24.519 --> 00:55:29.679 right mindset that scales. If you, if you, if you have no 707 00:55:29.840 --> 00:55:31.639 experience with scaling, this is not the right opportunity with them. And as 708 00:55:31.719 --> 00:55:39.880 astute partners with a sense of urgency that understand scale. Right, So U, 709 00:55:40.559 --> 00:55:45.360 but before I start wrap it up here, um uh, is there 710 00:55:45.360 --> 00:55:47.239 anything that we didn't touch on, We didn't talk about that. You feel 711 00:55:47.280 --> 00:55:51.480 like we should get in here for our listeners or do you think we've touched 712 00:55:51.559 --> 00:55:57.480 on a lot of what RELOADUS is. I think we've touched on on, 713 00:55:57.960 --> 00:56:00.320 you know, most of what it is they are. But we could go, 714 00:56:00.880 --> 00:56:04.599 we could keep going. I can tell you that there's a whole lot 715 00:56:04.719 --> 00:56:07.679 that I can I mean, this is coming from experiences, is coming from 716 00:56:07.719 --> 00:56:10.039 having done this a few times. So there's a lot of areas we can 717 00:56:10.079 --> 00:56:15.079 get into, things like ecosystem, you know, the actual technology, you 718 00:56:15.159 --> 00:56:19.400 know, what the competitive landscape looks like. You know, I always talk 719 00:56:19.440 --> 00:56:22.840 about open AI, which is focused on the consumer space, and now we're 720 00:56:22.880 --> 00:56:27.400 finding out the issue with you know being you know, us AT utilizes in 721 00:56:27.480 --> 00:56:32.280 OSI open source intelligence you know, leads to false information as we're seeing chap 722 00:56:32.400 --> 00:56:37.719 GEB just making things up, you know. And then we have Microsoft AI, 723 00:56:37.920 --> 00:56:42.440 which Microsoft only builds products for their customers because they have about at least 724 00:56:42.480 --> 00:56:47.239 thirty years thirty to forty years of data and customers. So when they build 725 00:56:47.280 --> 00:56:52.079 anything, they build it going into their existing market, which is SharePoint, 726 00:56:52.400 --> 00:56:58.760 office and all that. So again very different market segment and then cloud Minds, 727 00:56:58.800 --> 00:57:02.679 which is trying to do the cloud computing basically optimize based on what you 728 00:57:02.760 --> 00:57:08.800 know, glorified you know Amazon, you know Aws, um so relatives. 729 00:57:08.800 --> 00:57:12.519 On the other hand, let's just say it earlier. It's specifically focused on 730 00:57:13.039 --> 00:57:17.920 BTC, you know, interaction, simplification and just engagement. That almost pain 731 00:57:19.039 --> 00:57:22.280 you, but that's actually a good should be easy Yeah, and and and 732 00:57:22.559 --> 00:57:25.360 that's actually a good point that we should touch on a little bit when it 733 00:57:25.400 --> 00:57:30.320 comes to your competitors. I mean, um, you know, let's say 734 00:57:30.360 --> 00:57:31.840 Microsoft, and he said, you know, thirty forty years of customer data. 735 00:57:32.199 --> 00:57:37.280 I mean when in your field, does like is data just king like, 736 00:57:37.639 --> 00:57:42.519 is you know, the just the sheer amount of data either proprietary or 737 00:57:42.760 --> 00:57:47.559 closed or I'm sorry, proprietary or open? Does is just whoever has the 738 00:57:47.639 --> 00:57:52.679 most data wins? Or do you think maybe like these smaller custom ais really 739 00:57:52.760 --> 00:57:55.440 have a place and that's where it's really going to matter. M Who are 740 00:57:55.480 --> 00:57:59.920 your customers and who do you think is going to like really settle out. 741 00:58:00.039 --> 00:58:01.400 Is it just going to be the people who are the most creative, or 742 00:58:01.519 --> 00:58:05.960 is it going to be the Amazon the Microsoft's out there who have the most 743 00:58:06.039 --> 00:58:10.519 data I think. I mean the smaller shops who are the most creative are 744 00:58:10.559 --> 00:58:16.360 the ones who are ultimately going to win this. I remember, it's not 745 00:58:16.440 --> 00:58:21.199 even a battle, it's not a game. They're going to win what I 746 00:58:21.360 --> 00:58:28.599 call the market engagement in their market segment. So let me just clarify something 747 00:58:28.639 --> 00:58:31.480 about that. Sure, not every company, even though every company wants to 748 00:58:31.559 --> 00:58:37.039 be big, not every company needs to be a unicorn. They are companies 749 00:58:37.039 --> 00:58:42.760 that do phenomenal business, sustainable and even the fifteen hundred million dollars range, 750 00:58:43.519 --> 00:58:47.880 that's their sweet spot. Okay, they are companies who scale and go four 751 00:58:49.000 --> 00:58:54.159 five billion dollars you know, hyper unicorns out there, and that's their market 752 00:58:54.239 --> 00:58:59.960 segment. Right. So there's an old saying everybody wants to go to head 753 00:59:00.039 --> 00:59:04.039 and nobody wants to die. Right, you get small shops, I want 754 00:59:04.039 --> 00:59:06.440 to get big, But when they get big, they don't know how to 755 00:59:06.519 --> 00:59:12.079 handle it, right, and somehow they disintegrate casing point yeah right, So 756 00:59:12.280 --> 00:59:19.840 my point being, every market segment has a sweet spot. The big shops, 757 00:59:20.039 --> 00:59:23.199 the awss Microsoft xps of the world, when they build tools, they 758 00:59:23.320 --> 00:59:29.079 build full their existing customers because like Microsoft, they have forty plus years of 759 00:59:29.280 --> 00:59:35.599 data that they're sitting on. Okay, so they're just squeezing value out of 760 00:59:35.639 --> 00:59:44.079 an existing asset that they have. However, the smaller shops are able to 761 00:59:44.239 --> 00:59:50.679 start a fresh right and deliver new value based on new realities. Hence the 762 00:59:50.840 --> 00:59:53.800 legacy companies moving at a certain place and the small shops being creative. That's 763 00:59:53.840 --> 01:00:00.519 why MNA transactions happen because the smaller shops demonstrate at Jill a team that the 764 01:00:00.679 --> 01:00:07.119 big identities never have to worry about because they have existing sets in terms of 765 01:00:07.400 --> 01:00:12.639 data going back decades. So what do they do. They acquire those smaller 766 01:00:12.679 --> 01:00:17.280 shops to bring that agility and also that engenuity and creativity aimto the a recal 767 01:00:17.360 --> 01:00:22.679 system and that's a continuous cycle. It's like a it's like a ferris wheel. 768 01:00:22.760 --> 01:00:25.079 Because we absolve a small shop, there's a hundred other small shops, 769 01:00:25.840 --> 01:00:30.480 you know, in line, so that innovation will always continue, you know, 770 01:00:30.599 --> 01:00:36.800 in that regard, make no no makes perfect sense. So I think 771 01:00:36.840 --> 01:00:38.440 that Annie, I'll be honest with you, this interview was supposed to be 772 01:00:38.440 --> 01:00:43.159 about half an hour. I've kept you for way too long. I apologize, 773 01:00:43.239 --> 01:00:46.599 but this has been a very fun conversation. Yeah, so so yeah, 774 01:00:46.639 --> 01:00:50.400 no, no, this has been great and for everyone out there, 775 01:00:50.880 --> 01:00:52.280 we're gonna start wrapping up here. But if they want to find out more 776 01:00:52.320 --> 01:00:58.800 information, I'm guessing reloadus again. Our el otis dot com is the best 777 01:00:58.840 --> 01:01:01.639 place to get us. That's correct. And email, just email support a 778 01:01:01.800 --> 01:01:06.159 relatives dot com and you can actually email me directly A Lonnie at realtis dot 779 01:01:06.199 --> 01:01:08.679 com. All right, well, we might not put you your actually email 780 01:01:08.760 --> 01:01:10.599 in the show notes, but in the show notes, we're gonna have the 781 01:01:10.639 --> 01:01:14.480 website. We're gonna have all that stuff in there. We're also going to 782 01:01:14.519 --> 01:01:17.440 have the research paper that you sent over as well. We'll have a link 783 01:01:17.480 --> 01:01:21.719 to that if anyone would like to check that out. And ladies and gentlemen 784 01:01:21.840 --> 01:01:24.280 again computer America dot com for everything that you need to know about today. 785 01:01:24.360 --> 01:01:28.840 But I want to thank I want to thank A Lonnie for coming here. 786 01:01:28.920 --> 01:01:31.599 He is again the founder and CEO of the company, and A Loannie thank 787 01:01:31.639 --> 01:01:35.039 you so much. You've been very knowledgeable and this has been a great interview. 788 01:01:36.320 --> 01:01:38.119 Thank you sir very much. Appreciate it. All right, have a 789 01:01:38.159 --> 01:01:40.880 great one everyone out there. We'll catch you next time. Until next time, 790 01:01:42.159 --> 01:01:42.679 Bye, everyone,