01:11:20 · Jordi Hays, Shubh Sinha, John Coogan
[01:11:20] S0: What are some types of companies that have valuable data that that don't know that it's valuable and it would be something that they could monetize if they were, let's say, working with you? [01:11:30] S8: For sure. And and that's that's one of the bets that we're making, that there's this new proprietary data economy of individuals and enterprises. And so we've seen kind of all across the board, just given the the kind of newness of the economy, the types of datasets that are coming in, and the bespoke demand. So we've seen, for example, like, mid market hospitals that see compressing revenues Mhmm. But have a very, very specific treasure trove of data, because they focus on a rare disease or a specific procedure, and and that's not available anywhere else. Fitness apps. Some people, you know, they log their entire lives into fitness apps, and these apps have free or paid users. They're only making money off of paid users, but they can then those apps can then monetize what is that entire real world signal and really continue to make that app free and and introduce a ton of value. And it all becomes circular because as AI gets better, a lot of these same companies will actually use it. [01:12:20] S1: Sure. [01:12:21] S8: So it's a real win win there.
01:12:21 · Shubh Sinha, John Coogan, Jordi Hays
[01:12:21] S8: So it's a real win win there. [01:12:22] S1: What's the state of the art in, sanitization and maintaining privacy? We talked Ed and Ty from the National Design Studio on Monday. They shipped something like less than 15 meg. It's like small language model for sanitizing documents in the browser. It runs very efficiently. Are you just throwing open source models of this? Do you need frontier models for data sanitization? And then is there some worry where it flows back if you're using some closed source model and the frontier lab takes the data that you sent them and and stores that improperly? [01:12:57] S8: For sure. For sure. And and there's a variety of solutions out there mixed mixed with, call it, human services or BPOs and entire teams of PhDs looking at it. All of might just do [01:13:07] S1: reg x's. Right? Like, if it's a phone number That's right. Identify it, just turn it into x or number number number sign or something like that. Right? [01:13:14] S8: That's right. That's right. So there's a ton of solutions that kind of do that first layer. I think where Integral really specializes is, you know, we got our start in health care. [01:13:22] S1: Yeah. [01:13:22] S8: And health care has all proprietary data. Yeah. You know, your doctor should not be putting your Internet on or your data on the Internet. Yeah. And to and as far as I can tell, they are not [01:13:30] S0: I told my doctor, go ahead.
01:13:30 · Jordi Hays, John Coogan, Shubh Sinha, Wayne Ting
[01:13:30] S0: I told my doctor, go ahead. [01:13:32] S1: Yeah. Call It would be embarrassing for everyone else if, like, your your lean muscle mass and your body fat percentage got leaked out there. Everyone [01:13:39] S0: will If test levels leaked on the Internet, it would it would be it'd be crazy. You'd getting accused of doping. [01:13:47] S1: Yeah. Yeah. [01:13:49] S0: Are you when did when did you make the switch from AirPods to to wired? I'm also wired a wired headphone guy, so I'm I'm curious. [01:13:57] S8: I hit number five on placement and then I went wired and it turns out so I'm I'm in New York. And it turns out it's a fashion statement as well. So I'm I'm kind of rocking both sides. [01:14:07] S0: I think it is entirely superior and and that is even before the fact you can get like a bunch of pairs of wired headphones, have them everywhere Mhmm. And for the cost of just one pair of AirPods. [01:14:22] S1: Maybe. Maybe. [01:14:22] S0: We're we're ahead. Congratulations on the round. Yeah. The business makes a lot of sense and That's excited to see where you go go with it. [01:14:29] S1: Yeah. We'll talk to you soon. Have a good rest of your day. Goodbye. Let me tell you about Cisco. Critical infrastructure for the AI era. Unlock seamless real time experiences and new value with Cisco. Our next guest is Wayne Tang from Lime coming in on IPO day. Wayne, how are you doing? [01:14:47] S0: There he is. [01:14:47] S1: Congratulations. Welcome to the show. [01:14:49] S9: Thank you so much. Thanks for having me.
01:14:49 · Wayne Ting, John Coogan
[01:14:49] S9: Thank you so much. Thanks for having me. [01:14:51] S1: Talk to us about the journey to get here today. What does it feel like? What's going through your head right now? [01:14:59] S9: It's been a it's been a long journey, and I I feel great to see Lime go public today. And I think [01:15:04] S1: Yeah. [01:15:05] S9: It's it's certainly not been a linear journey. I mean, as as you guys know, there's been a lot of companies in micro mobility. Yeah. And Lime is the last man standing in a very tough industry, and I think we're the only ones that have built a scalable, sustainable, profitable business. And I think that's why we've earned the right to be a public company today, and I feel like to see Lime trade publicly was a validation of the hard choices we made along the way, but also a lot of sacrifices to get Lime to this point. [01:15:36] S1: Yeah. What what changed culturally recently, or what is the culture like? Because it feels like the key to this business is operational efficiency Excellence. Excellence, not having a ton of side quests. You have to be focused. This is not a business with some, you know, just crazy, you struck lightning 25 times in a row and and you can just make a ton of mistakes. Like, efficiency is key to the business. Correct?
01:15:36 · John Coogan, Wayne Ting
[01:15:36] S1: Yeah. What what changed culturally recently, or what is the culture like? Because it feels like the key to this business is operational efficiency Excellence. Excellence, not having a ton of side quests. You have to be focused. This is not a business with some, you know, just crazy, you struck lightning 25 times in a row and and you can just make a ton of mistakes. Like, efficiency is key to the business. Correct? [01:16:03] S9: You're absolutely right. It's a I describe it as a it's a game of inches. I mean, our average vehicle is generating $7.50 of revenue a day. Mhmm. We have to charge the vehicle, fix the vehicle, may use spare parts Mhmm. Make sure it's positioned the right place at the right time. And we do all that, and we generate a 50% plus cash margins on that $7.50. And because we're able to get that level of margins, we pay back our vehicles in less than one year. But you're talking about a relatively low price point product, small mistakes very quickly adds up, and the and the business becomes upside down, which is what you see most of our competitors. Yeah. They and and it's not for the lack of capital. A lot of our competitors raised more money than we did. [01:16:50] S1: Yeah.
01:16:50 · John Coogan, Wayne Ting
[01:16:50] S1: Yeah. [01:16:50] S9: They were in the market longer. And it's obviously hard because if it was easy, they would have done it too. And I think it also requires a clear a clear view of like what actually matters. And in the world of limited resources, we are very focused that we want to be the way to crack this business is great hardware, great software, great operations, government relations. Yeah. And then everything else, we have to deprioritize in a incredibly strict way in order to put our limited resources towards the things that actually matter in this business. [01:17:23] S1: What is going on on the supply chain side? Is there a is there a constraint on battery capacity because of demand from AI broadly? It feels like the AI industry is sucking up every possible piece of the supply chain from coatings that go into toilets to everything that generates power under the sun, rocket motors and jet engines are being bolted to the ground to generate power. Is that a constraint or is there an opportunity that demand for energy will ultimately reduce the price of batteries or maybe even extend their life?