1 00:00:01,120 --> 00:00:05,120 Speaker 1: This is Bloomberg Business Week, insight from the reporters and 2 00:00:05,320 --> 00:00:09,280 Speaker 1: editors that bring you America's most trusted business magazine, plus 3 00:00:09,440 --> 00:00:13,440 Speaker 1: global business, finance and tech news as it happens. Bloomberg 4 00:00:13,480 --> 00:00:18,640 Speaker 1: Business Week with Carol Masser and Tim Steneveek on Bloomberg Radio. 5 00:00:19,520 --> 00:00:22,160 Speaker 2: It is Bloomberg Business Week. Some news in the world 6 00:00:22,200 --> 00:00:24,759 Speaker 2: of retail today Carol Macy's issuing a downbeat outlook for 7 00:00:24,760 --> 00:00:26,560 Speaker 2: sales in the current quarter. It was a sign that 8 00:00:26,640 --> 00:00:29,880 Speaker 2: executives might have been too optimistic about their expectations for 9 00:00:29,920 --> 00:00:34,360 Speaker 2: the holiday shopping season. Abercrombie and Fitch announced better than 10 00:00:34,400 --> 00:00:37,840 Speaker 2: expected sales for the holidays, but at share price tumbled 11 00:00:38,560 --> 00:00:40,920 Speaker 2: this after its sales growth target fell short of some 12 00:00:41,080 --> 00:00:44,560 Speaker 2: analyst expectations. They closed out the day lower by more 13 00:00:44,600 --> 00:00:47,199 Speaker 2: than fifteen percent, close to sixteen percent. I do know 14 00:00:47,240 --> 00:00:49,479 Speaker 2: that Travis has watches this stuff closely, the CEO of 15 00:00:49,479 --> 00:00:52,199 Speaker 2: Big Commerce. It's an e commerce platform that works with 16 00:00:52,240 --> 00:00:55,520 Speaker 2: businesses around the world to help them sell you their stuff. 17 00:00:55,800 --> 00:00:58,840 Speaker 2: Companies such as Yetti Cycles, Johnny Walker, Uplift Desk are 18 00:00:58,880 --> 00:01:02,160 Speaker 2: among Big Commerces customers. It's publicly traded on the NASDAK 19 00:01:02,160 --> 00:01:04,360 Speaker 2: it's a small cap market value just shy of five 20 00:01:04,440 --> 00:01:07,959 Speaker 2: hundred million dollars. Travis joins us here in the Bloomberg 21 00:01:08,040 --> 00:01:12,000 Speaker 2: Interactive Brokers studio. Travis, good to see you doing some 22 00:01:12,040 --> 00:01:14,920 Speaker 2: research on this, and you probably hate this comparison, but 23 00:01:15,319 --> 00:01:18,080 Speaker 2: it's the world we know. I'm looking at the website, 24 00:01:18,080 --> 00:01:20,959 Speaker 2: I'm understanding your business. Are you competitor Shopify? 25 00:01:21,440 --> 00:01:24,480 Speaker 3: Of course, yeah, I certainly have come out of that 26 00:01:24,480 --> 00:01:27,600 Speaker 3: ecosystem as well. I think our approach philosophically is different. 27 00:01:28,280 --> 00:01:32,119 Speaker 3: So composibility is at the core of what we're doing, 28 00:01:32,200 --> 00:01:33,880 Speaker 3: and if you want to draw an analogy, it's more 29 00:01:33,920 --> 00:01:36,959 Speaker 3: open versus closed. I think our perspective on this is 30 00:01:37,440 --> 00:01:40,480 Speaker 3: we believe more disruption and innovation will come by way 31 00:01:40,480 --> 00:01:44,720 Speaker 3: of third party ISVs and software providers, and as a result, 32 00:01:44,720 --> 00:01:47,840 Speaker 3: our focus is really about the ingestion of those capabilities 33 00:01:47,840 --> 00:01:49,720 Speaker 3: now and in the future, as opposed to building them 34 00:01:49,880 --> 00:01:51,400 Speaker 3: innately into the platform themselves. 35 00:01:51,440 --> 00:01:53,400 Speaker 4: Would you say they are the biggest competitor out there? 36 00:01:53,600 --> 00:01:57,080 Speaker 3: It depends on the market, certainly for traditional D two 37 00:01:57,080 --> 00:02:01,240 Speaker 3: C and certainly digital native vertical brands. Unquestioned. I think 38 00:02:01,240 --> 00:02:03,520 Speaker 3: if you look at the meaning director direct. 39 00:02:03,240 --> 00:02:05,320 Speaker 5: To consumer correct go ahead, it's finish your point. 40 00:02:05,440 --> 00:02:05,600 Speaker 4: Yeah. 41 00:02:05,600 --> 00:02:07,560 Speaker 3: I think if you look at different markets, different geographies, 42 00:02:07,560 --> 00:02:10,600 Speaker 3: you're certainly going to have a different types of competitors, 43 00:02:10,639 --> 00:02:13,840 Speaker 3: but certainly they're the most outward and vocal about it 44 00:02:13,840 --> 00:02:15,880 Speaker 3: and certainly the one most obvious to understand. 45 00:02:16,000 --> 00:02:18,640 Speaker 5: So tell us a company comes to you a retail 46 00:02:18,720 --> 00:02:20,079 Speaker 5: and tell us what you do for them. 47 00:02:20,560 --> 00:02:25,239 Speaker 3: Yeah. I think for retailers, brand manufacturers, manufacturers and distributors, 48 00:02:26,160 --> 00:02:30,240 Speaker 3: we are optimizing revenue for them while driving profitability independent 49 00:02:30,280 --> 00:02:32,239 Speaker 3: of channel. I think the name of the game now 50 00:02:32,320 --> 00:02:35,240 Speaker 3: is to go where customers want to interface with you 51 00:02:35,280 --> 00:02:37,760 Speaker 3: as a brand, regardless of where they may buy your 52 00:02:37,800 --> 00:02:41,600 Speaker 3: product or service. And I think the key challenges organizational 53 00:02:41,639 --> 00:02:45,000 Speaker 3: agility at the organizational level to be able to go, experiment, 54 00:02:45,600 --> 00:02:50,560 Speaker 3: drive value exchange through those different channels with speed agility 55 00:02:50,600 --> 00:02:51,280 Speaker 3: at scale. 56 00:02:51,320 --> 00:02:54,280 Speaker 5: So this means potentially building out an e commerce platform, 57 00:02:54,320 --> 00:02:56,600 Speaker 5: but also then helping them with what back office maybe 58 00:02:56,639 --> 00:02:59,359 Speaker 5: at actual retail operations, and making it all work together 59 00:02:59,400 --> 00:03:00,280 Speaker 5: one hundred percent. 60 00:03:00,440 --> 00:03:02,079 Speaker 3: So whether it's an own channel or a non owned 61 00:03:02,120 --> 00:03:04,359 Speaker 3: channel that could be sitting brick and mortar with an 62 00:03:04,360 --> 00:03:07,120 Speaker 3: own brick and mortar retail, it could be non owned marketplace. 63 00:03:07,200 --> 00:03:10,679 Speaker 3: It could be a social channel or those that made 64 00:03:10,680 --> 00:03:11,440 Speaker 3: it come in the future. 65 00:03:11,680 --> 00:03:13,960 Speaker 2: I want to talk about cart abandoned mint because this 66 00:03:14,080 --> 00:03:15,560 Speaker 2: is an issue for retailers. 67 00:03:15,919 --> 00:03:18,000 Speaker 4: Yeah time, Yeah, you put all the time. Well, what 68 00:03:18,040 --> 00:03:18,880 Speaker 4: causes you to do it? 69 00:03:19,480 --> 00:03:21,400 Speaker 5: Because I'm just not quite sure I really want something? 70 00:03:21,440 --> 00:03:23,120 Speaker 5: Or I'm thinking about do I really need this? And 71 00:03:23,600 --> 00:03:25,359 Speaker 5: it's so easy when you're just going through like yeah, 72 00:03:26,200 --> 00:03:27,320 Speaker 5: and then I'm just like I'm done. So you know 73 00:03:27,360 --> 00:03:29,320 Speaker 5: when I get those annoying emails like you left something 74 00:03:29,360 --> 00:03:30,800 Speaker 5: in your car and I'm like, nope, I meant to. 75 00:03:31,880 --> 00:03:33,240 Speaker 4: You got to return the card, Carrol. 76 00:03:34,360 --> 00:03:37,280 Speaker 2: What causes me for card abandonment is maybe more lazy 77 00:03:37,320 --> 00:03:41,680 Speaker 2: than Carol. It's the payment part. And one thing that 78 00:03:41,720 --> 00:03:42,520 Speaker 2: I love seeing when. 79 00:03:42,440 --> 00:03:44,960 Speaker 4: I'm checking out is Apple pay right there. 80 00:03:45,040 --> 00:03:46,640 Speaker 2: Of course, all I have to do is put my 81 00:03:46,720 --> 00:03:49,080 Speaker 2: face in my phone and press the button twice. 82 00:03:49,400 --> 00:03:49,839 Speaker 4: It's bought. 83 00:03:50,120 --> 00:03:51,880 Speaker 2: I don't have to pull out my credit card, enter 84 00:03:51,920 --> 00:03:53,640 Speaker 2: the info, put in my eyes, wait to your. 85 00:03:53,520 --> 00:03:55,000 Speaker 5: Two little ones can do. 86 00:03:54,920 --> 00:03:57,640 Speaker 2: That they're allowed to do. No, that's not going to 87 00:03:57,680 --> 00:04:00,840 Speaker 2: be good. What's the what's the check thought process? How 88 00:04:00,840 --> 00:04:03,600 Speaker 2: do you make sure it's standardized? So it's so easy 89 00:04:03,640 --> 00:04:04,760 Speaker 2: to part with your money. 90 00:04:05,000 --> 00:04:07,000 Speaker 3: Well, to exactly your point, I mean, we take an 91 00:04:07,000 --> 00:04:10,280 Speaker 3: agnostic approach to check out, so as far as ingestion 92 00:04:10,320 --> 00:04:12,800 Speaker 3: of payment providers, whether that's Apple pay or PayPal or 93 00:04:12,840 --> 00:04:16,800 Speaker 3: Stripe or whomever, obviously whatever fits the best use cases 94 00:04:16,839 --> 00:04:20,599 Speaker 3: for a particular brand and size and business logic. But yes, 95 00:04:20,800 --> 00:04:24,160 Speaker 3: it's to remove friction. It's to make that decision very quick, 96 00:04:24,240 --> 00:04:27,240 Speaker 3: very easy, very seamless, so less steps. 97 00:04:26,960 --> 00:04:27,559 Speaker 4: Along the PROCEMCE. 98 00:04:27,560 --> 00:04:30,200 Speaker 2: Do you have your your own equivalent of shop pay, Like, 99 00:04:30,279 --> 00:04:31,920 Speaker 2: if I'm buying something I don't even know if it's 100 00:04:31,920 --> 00:04:35,080 Speaker 2: a Shopify powered site, I put in my phone number, 101 00:04:35,120 --> 00:04:36,520 Speaker 2: they send me a text message boom. 102 00:04:36,520 --> 00:04:38,360 Speaker 4: My information is already there. I don't need a password 103 00:04:38,400 --> 00:04:39,799 Speaker 4: or anything. I got my stuff. 104 00:04:39,839 --> 00:04:43,119 Speaker 3: We do that today. PayPal just lost fast Lane launched 105 00:04:43,160 --> 00:04:46,200 Speaker 3: fast Lane, which is an alternative that with a much 106 00:04:46,240 --> 00:04:48,720 Speaker 3: deeper install basis. Certainly, if you're anonymous coming to a 107 00:04:48,800 --> 00:04:50,680 Speaker 3: site and you begin to check out and you're not 108 00:04:50,760 --> 00:04:54,080 Speaker 3: logged in, the fact that they have your account information 109 00:04:54,160 --> 00:04:56,520 Speaker 3: will prepopulate that and again remove friction and make it 110 00:04:56,520 --> 00:04:57,200 Speaker 3: more accelerated. 111 00:04:57,360 --> 00:04:59,359 Speaker 6: You don't have a native one for your company Historically, 112 00:04:59,360 --> 00:05:01,600 Speaker 6: we've not gone to mart with native We've certainly talked 113 00:05:01,600 --> 00:05:03,880 Speaker 6: about it, we've considered it that maybe something we explore 114 00:05:03,880 --> 00:05:07,080 Speaker 6: in the future, but the business model for us has 115 00:05:07,120 --> 00:05:08,480 Speaker 6: not been We are not a bank. 116 00:05:08,720 --> 00:05:11,599 Speaker 3: We have not monetized and commercialized a business model based 117 00:05:11,640 --> 00:05:16,400 Speaker 3: on a payment capacity. We've believed in very much, you know, 118 00:05:16,600 --> 00:05:18,039 Speaker 3: and ingesting that agnostically. 119 00:05:18,279 --> 00:05:19,719 Speaker 5: You know, it's so funny that you say that, Tim, 120 00:05:19,720 --> 00:05:22,080 Speaker 5: that I do. I agree that, Like, you know, it's 121 00:05:22,120 --> 00:05:24,359 Speaker 5: just sometimes been its Apple Page's just so easy. But 122 00:05:24,400 --> 00:05:26,520 Speaker 5: sometimes with like shop pay and like the information comes 123 00:05:26,600 --> 00:05:28,360 Speaker 5: up and I'm like, oh, yeah, somebody else has all 124 00:05:28,360 --> 00:05:31,240 Speaker 5: my information, and like sometimes that freaks me out. How 125 00:05:31,240 --> 00:05:35,240 Speaker 5: do you like continue to think about security of shoppers information? 126 00:05:35,800 --> 00:05:38,640 Speaker 3: I think securities front and center obviously, and I think 127 00:05:38,720 --> 00:05:41,040 Speaker 3: that the more personalized we get, it's kind of threading 128 00:05:41,040 --> 00:05:43,440 Speaker 3: the needle. You want to serve up a very relevant, 129 00:05:43,520 --> 00:05:46,599 Speaker 3: personalized experience, but not so much where it feels intrusive, 130 00:05:46,839 --> 00:05:50,360 Speaker 3: where people are hesitant to obviously share information, because the 131 00:05:50,360 --> 00:05:53,680 Speaker 3: more information they share, the more relevant immersive experience we 132 00:05:53,760 --> 00:05:56,240 Speaker 3: can kind of deliver to them at scale. And so 133 00:05:56,320 --> 00:05:59,200 Speaker 3: it is a fine balance for brands obviously wanting to 134 00:05:59,200 --> 00:06:01,560 Speaker 3: capture consumer informational leverage it in a way that would 135 00:06:01,640 --> 00:06:04,599 Speaker 3: be you know, viable and meaningful and driving efficacy, but 136 00:06:04,640 --> 00:06:07,040 Speaker 3: not so much so it feels intrusive. 137 00:06:07,320 --> 00:06:09,520 Speaker 5: You are shopping platforms, so you see, right, you see 138 00:06:09,520 --> 00:06:11,279 Speaker 5: a lot of information, A lot of data goes through 139 00:06:11,360 --> 00:06:14,560 Speaker 5: like you have access we know or like like I 140 00:06:14,600 --> 00:06:17,359 Speaker 5: am curious about someone like you? Guys that what it 141 00:06:17,440 --> 00:06:19,839 Speaker 5: tells us about what's going on with consumers and like 142 00:06:19,880 --> 00:06:20,800 Speaker 5: the retail environment. 143 00:06:20,880 --> 00:06:23,240 Speaker 3: Yeah, we certainly can see consumer behavior as far as 144 00:06:23,279 --> 00:06:24,560 Speaker 3: what's being added to col I. 145 00:06:24,440 --> 00:06:26,120 Speaker 5: Wasn't trying to get you to tell me what tim 146 00:06:26,200 --> 00:06:28,440 Speaker 5: last spot. But anyway, God, it's all good. 147 00:06:28,680 --> 00:06:31,200 Speaker 3: Yes, of course we're I mean, and there's many companies 148 00:06:31,240 --> 00:06:32,640 Speaker 3: that have access to these sorts of things that they 149 00:06:32,720 --> 00:06:34,440 Speaker 3: want us to. Of course, we're going to see behavior 150 00:06:34,440 --> 00:06:36,560 Speaker 3: of what's being added the car, where people are browsing, 151 00:06:36,760 --> 00:06:38,800 Speaker 3: how often they're browsing, and what they're clicking on, what 152 00:06:38,839 --> 00:06:42,039 Speaker 3: they're abandoning, and how that's facilitating abandoned card emails and 153 00:06:42,080 --> 00:06:45,159 Speaker 3: things like that. And of course we're leveraging those capabilities 154 00:06:45,200 --> 00:06:47,760 Speaker 3: and serving it back to organizations, and they're also using 155 00:06:47,800 --> 00:06:51,560 Speaker 3: their own algorithms and analytics and insights internally to get 156 00:06:51,560 --> 00:06:52,680 Speaker 3: better at what it is that they're doing. 157 00:06:52,720 --> 00:06:54,120 Speaker 5: Well, what does it tell you about the consumers that 158 00:06:54,200 --> 00:06:56,720 Speaker 5: you do have that access? Just big broad strokes here. 159 00:06:56,960 --> 00:07:01,840 Speaker 3: I think consumers most recently become more promotionally oriented. I 160 00:07:01,839 --> 00:07:03,800 Speaker 3: think a lot of people are abandoning carts because they're 161 00:07:03,800 --> 00:07:05,960 Speaker 3: testing the waters on could I get a better deal 162 00:07:06,000 --> 00:07:06,440 Speaker 3: if I wait to. 163 00:07:06,440 --> 00:07:08,880 Speaker 5: Look at the un copons all the time? Yep, like wherever? 164 00:07:09,640 --> 00:07:12,240 Speaker 3: And you've seen this trend through the holiday traffic. I 165 00:07:12,280 --> 00:07:16,280 Speaker 3: think brands that have historically weren't promotional have gotten very promotional. 166 00:07:17,000 --> 00:07:20,280 Speaker 3: I think you've seen a promotionally oriented economy in many capacities, 167 00:07:20,320 --> 00:07:23,559 Speaker 3: certainly in traditional segments like fashion and health and beauty 168 00:07:23,600 --> 00:07:26,360 Speaker 3: and things like that. I think most folks want some 169 00:07:26,520 --> 00:07:30,400 Speaker 3: semblance of a recurring revenue models or anything that's subscriptively 170 00:07:30,480 --> 00:07:33,520 Speaker 3: oriented becomes a bit easier to predict and a bit stickier, 171 00:07:33,800 --> 00:07:36,480 Speaker 3: and those that aren't, again, especially with fast fashion and 172 00:07:36,520 --> 00:07:39,480 Speaker 3: other industries where they're constantly turning over, it's all about 173 00:07:39,720 --> 00:07:42,480 Speaker 3: velocity of skew volume. It does tend to be promotional, 174 00:07:42,480 --> 00:07:45,520 Speaker 3: but it's also eroding margins. And again it's a fine line, 175 00:07:45,600 --> 00:07:49,000 Speaker 3: especially with potentially looming tariffs. What impact is that going 176 00:07:49,080 --> 00:07:53,000 Speaker 3: to have on profitability? If those tariffs negatively in fact 177 00:07:53,280 --> 00:07:54,840 Speaker 3: a supply chain and cost of goods. 178 00:07:54,880 --> 00:07:57,640 Speaker 2: Do you see the tariffs being implemented, Does that happen? 179 00:07:58,160 --> 00:07:58,320 Speaker 4: Well? 180 00:07:58,600 --> 00:08:00,480 Speaker 3: Is that something that I think that's I think it's 181 00:08:00,480 --> 00:08:03,880 Speaker 3: been signal letting, you know, lover hate the incoming administration. 182 00:08:04,000 --> 00:08:07,240 Speaker 3: I think arguably you can judge past behavior that tariffs 183 00:08:07,280 --> 00:08:10,239 Speaker 3: are a real thing. It's been certainly socialized, and depending 184 00:08:10,240 --> 00:08:12,600 Speaker 3: on someone's supply chain and how oriented they are and 185 00:08:12,680 --> 00:08:15,920 Speaker 3: producing things in areas that may be impacted by tariffs, 186 00:08:15,960 --> 00:08:17,520 Speaker 3: it's certainly going to impact their business. 187 00:08:17,520 --> 00:08:18,840 Speaker 4: Your customer is getting ready for it. 188 00:08:19,080 --> 00:08:20,920 Speaker 3: Yeah, I think everyone's getting ready for it, and I 189 00:08:20,960 --> 00:08:24,240 Speaker 3: think you're seeing people hedge, certainly in industries that would 190 00:08:24,280 --> 00:08:27,160 Speaker 3: be heavily impacted by manufacturing in China, maybe looking at 191 00:08:27,160 --> 00:08:30,760 Speaker 3: alternatives in region or maybe bringing things more domestic. Depends 192 00:08:30,800 --> 00:08:33,120 Speaker 3: on the industry, depends on the margin, but certainly it's 193 00:08:33,240 --> 00:08:34,840 Speaker 3: it's front and center, all. 194 00:08:34,800 --> 00:08:37,079 Speaker 2: Right, Travis Hess really cool stuff, Thanks so much for 195 00:08:37,160 --> 00:08:38,600 Speaker 2: joining us. Congrats on the new job too. 196 00:08:38,640 --> 00:08:39,120 Speaker 3: Thank you guys. 197 00:08:39,320 --> 00:08:42,360 Speaker 2: Having CEO of a big commerce joining us here in 198 00:08:42,400 --> 00:08:44,680 Speaker 2: the bloom we're gonnact to Brokers Studio Well. The forty 199 00:08:44,679 --> 00:08:49,079 Speaker 2: third annual JP Morgan Healthcare Conference in San Francisco is underway. 200 00:08:49,640 --> 00:08:53,840 Speaker 2: It brings together healthcare executives and pharmaceutical industry leaders and 201 00:08:53,880 --> 00:08:57,400 Speaker 2: tech innovators to discuss the latest in the sector. One 202 00:08:57,400 --> 00:09:00,280 Speaker 2: of those companies is Oxford Nanoport Technologies. It's the one 203 00:09:00,320 --> 00:09:03,760 Speaker 2: point six billion dollar market cap company that has devices 204 00:09:03,760 --> 00:09:07,719 Speaker 2: that sequence DNA and RNA to offer real time analysis. 205 00:09:07,960 --> 00:09:11,080 Speaker 2: We got with us right now. Doctor Gordon Sangarra, the 206 00:09:11,120 --> 00:09:14,959 Speaker 2: co founder and CEO of Oxford Nanoport Technologies, joins us 207 00:09:15,120 --> 00:09:19,440 Speaker 2: from the JP Morgan Health Conference. Shares surging today as 208 00:09:19,480 --> 00:09:22,120 Speaker 2: much as twenty five percent. It's the steepest gain going 209 00:09:22,120 --> 00:09:24,720 Speaker 2: back to September of twenty twenty one. So you guys 210 00:09:24,760 --> 00:09:27,839 Speaker 2: had some news out a trading update that analysts certainly 211 00:09:27,880 --> 00:09:29,720 Speaker 2: found reassuring. We're going to get to that a minute, 212 00:09:29,720 --> 00:09:33,000 Speaker 2: but let's take a big step back here, because I'm 213 00:09:33,000 --> 00:09:36,800 Speaker 2: interested in for the lay person understanding exactly what your 214 00:09:36,800 --> 00:09:38,480 Speaker 2: device does, what your technology does. 215 00:09:39,880 --> 00:09:44,880 Speaker 7: Sure, I'm afternoon, everybody from sunny San Francisco, warmer than London, 216 00:09:45,679 --> 00:09:53,400 Speaker 7: so we have a genetic analyzer that is analogous to 217 00:09:53,679 --> 00:09:58,360 Speaker 7: what happened in the computer industry. So today the incumbents 218 00:09:58,360 --> 00:10:04,240 Speaker 7: that do genomic analysis are like mainframe computer providers. They're large, 219 00:10:05,080 --> 00:10:10,839 Speaker 7: complex machines, multimillion dollar in multimillion dollar infrastructures. We are 220 00:10:10,880 --> 00:10:18,960 Speaker 7: able to provide cheap, small devices, very similar to the 221 00:10:19,120 --> 00:10:24,080 Speaker 7: change in computing from mainframe to desktop to handheld. Here's 222 00:10:24,080 --> 00:10:27,360 Speaker 7: a sequencer I brought with me. This is our minion. 223 00:10:27,640 --> 00:10:29,439 Speaker 2: So look it's like the size of a smartphone for 224 00:10:29,559 --> 00:10:30,440 Speaker 2: people who are listening. 225 00:10:30,679 --> 00:10:37,240 Speaker 7: It really is, yes, and that was critically important in 226 00:10:37,720 --> 00:10:43,000 Speaker 7: distributed sequencing and understanding all the variants during the COVID epidemic. 227 00:10:43,080 --> 00:10:44,480 Speaker 4: How much is one of these devices? 228 00:10:45,600 --> 00:10:48,960 Speaker 7: Couple of thousand dollars, so very cheap, very affordable. It's 229 00:10:49,040 --> 00:10:54,360 Speaker 7: that's orders of magnitude cheaper than an existing centralized machine 230 00:10:54,760 --> 00:10:58,280 Speaker 7: where you're batching everything to get economies of scale. These 231 00:10:58,320 --> 00:11:01,720 Speaker 7: things are pay as you go. So it's really the 232 00:11:01,920 --> 00:11:05,960 Speaker 7: step change in the way that we saw democratization and 233 00:11:06,040 --> 00:11:11,480 Speaker 7: access of compute. The same for DNA and information. As 234 00:11:11,520 --> 00:11:16,440 Speaker 7: we know from the last pandemic, distributed access to DNR 235 00:11:16,480 --> 00:11:19,320 Speaker 7: and information is going to be important to stamp that 236 00:11:19,360 --> 00:11:20,000 Speaker 7: out quickly. 237 00:11:20,160 --> 00:11:24,720 Speaker 5: Doctor Sinker. From our understanding the presentation you did, are 238 00:11:24,800 --> 00:11:28,360 Speaker 5: doing or planning to do at the JP Morgan Healthcare Conference, 239 00:11:28,800 --> 00:11:31,280 Speaker 5: there's four core end markets for you guys. The biggest 240 00:11:31,320 --> 00:11:36,040 Speaker 5: one is research. So by enabling researchers and R and 241 00:11:36,120 --> 00:11:40,240 Speaker 5: d AT, I guess companies at academic universities and so on, 242 00:11:40,480 --> 00:11:44,880 Speaker 5: and institutions, I guess tell us what that will be 243 00:11:45,000 --> 00:11:49,160 Speaker 5: used for and what that enables these institutions and companies 244 00:11:49,200 --> 00:11:50,640 Speaker 5: to do that they might not be able to do 245 00:11:50,679 --> 00:11:52,320 Speaker 5: today so easily or so cheaply. 246 00:11:53,480 --> 00:11:56,000 Speaker 7: Absolutely so, if we do it in the context of 247 00:11:56,040 --> 00:12:01,080 Speaker 7: human genomes, that's three billion letters on what continuous chain 248 00:12:01,280 --> 00:12:06,560 Speaker 7: for bases GTAC, And for twenty years people have taken 249 00:12:06,640 --> 00:12:10,760 Speaker 7: that DNA, breaking it down into two hundred base bit 250 00:12:10,800 --> 00:12:13,600 Speaker 7: of chains, made a copy. So I've gone from full 251 00:12:13,679 --> 00:12:16,400 Speaker 7: high definition color to black and white, and then you 252 00:12:16,520 --> 00:12:20,120 Speaker 7: get some interesting insights in biology, but you're really losing 253 00:12:20,200 --> 00:12:24,040 Speaker 7: a lot. We're able to read the native DNA as 254 00:12:24,080 --> 00:12:28,079 Speaker 7: it's presented from, for example, a patient sample, which means 255 00:12:28,200 --> 00:12:31,079 Speaker 7: we can look at that DNA in full high definition 256 00:12:31,280 --> 00:12:35,000 Speaker 7: in color in a very simple device in real time 257 00:12:35,400 --> 00:12:39,760 Speaker 7: with affordable, accessible equipment. So those researchers, whether it's a 258 00:12:39,880 --> 00:12:45,840 Speaker 7: PhD student in academia or you know, big biofarmers, they're 259 00:12:45,920 --> 00:12:50,800 Speaker 7: able to illuminate what is often referred to as parts 260 00:12:50,840 --> 00:12:54,360 Speaker 7: of the dark genome, which code for some of the 261 00:12:54,360 --> 00:12:59,640 Speaker 7: most difficult disorders that we cannot get at today, mental health, 262 00:13:00,120 --> 00:13:05,760 Speaker 7: neuroad generation, early early onset cancer, Alzheimer's, things like this, 263 00:13:06,280 --> 00:13:09,800 Speaker 7: And they're now beginning and there are the foothills of 264 00:13:09,840 --> 00:13:14,199 Speaker 7: that journey to understanding the biology that underpins these diseases 265 00:13:14,280 --> 00:13:17,000 Speaker 7: that we've not really moved the needle on fifty years. 266 00:13:17,480 --> 00:13:20,640 Speaker 5: So is this to help not only in treatment of individuals, 267 00:13:20,640 --> 00:13:25,080 Speaker 5: but also to create better modalities. 268 00:13:24,720 --> 00:13:32,720 Speaker 7: For treatment, absolutely, both accelerating biomarket discovery by moving to 269 00:13:33,400 --> 00:13:36,880 Speaker 7: so people we all talk about the genome. So twenty 270 00:13:37,000 --> 00:13:40,480 Speaker 7: years ago the genome was published, and that's really just 271 00:13:40,559 --> 00:13:45,440 Speaker 7: looking at single point mutations. There is now a movement 272 00:13:45,640 --> 00:13:49,520 Speaker 7: to multi omic genomes. What does that mean, Well, we 273 00:13:49,600 --> 00:13:53,560 Speaker 7: have four bases GTAC. There is actually a fifth base, 274 00:13:53,840 --> 00:13:57,960 Speaker 7: which is chemical corruption of your c base and that 275 00:13:58,360 --> 00:14:03,280 Speaker 7: chemical change is methylation, and methylation is the smoking gun 276 00:14:03,440 --> 00:14:06,960 Speaker 7: in all cancers. And that's been known for twenty years, 277 00:14:07,000 --> 00:14:12,240 Speaker 7: but this technology really allows you to get comprehensive maps 278 00:14:12,240 --> 00:14:17,240 Speaker 7: of methylation which are then having a huge impact immediately. So, 279 00:14:17,400 --> 00:14:24,720 Speaker 7: for example, acute milue leukemia needs treatment immediately. Diagnosis today 280 00:14:24,920 --> 00:14:28,120 Speaker 7: takes three to four days, maybe a week. By looking 281 00:14:28,200 --> 00:14:32,600 Speaker 7: at methylation in those patient samples, so this chemical corruption, 282 00:14:33,400 --> 00:14:38,720 Speaker 7: they can determine the type of leukemia AML in four 283 00:14:38,720 --> 00:14:41,600 Speaker 7: to six hours and that is game changing in terms 284 00:14:41,640 --> 00:14:46,960 Speaker 7: of treatment. So rapid insights in acute and critical care 285 00:14:48,120 --> 00:14:53,040 Speaker 7: is something that this technology allows because it's distributed point 286 00:14:53,040 --> 00:14:56,400 Speaker 7: of care, it's real time, and it's giving you content 287 00:14:56,520 --> 00:14:58,520 Speaker 7: that you do not get with existing tech. 288 00:14:59,120 --> 00:15:01,840 Speaker 2: Who help us underst stand who has the devices versus 289 00:15:01,880 --> 00:15:03,880 Speaker 2: who doesn't have these devices? 290 00:15:04,800 --> 00:15:05,080 Speaker 7: I e. 291 00:15:05,680 --> 00:15:08,120 Speaker 2: What is the market opportunity that you have left at 292 00:15:08,120 --> 00:15:13,240 Speaker 2: this point? Because if it is indeed something that offers 293 00:15:13,640 --> 00:15:19,640 Speaker 2: a service at such a lower cost, then is everybody 294 00:15:19,640 --> 00:15:21,600 Speaker 2: who wanted one do they have one yet? 295 00:15:22,840 --> 00:15:23,240 Speaker 3: Not yet? 296 00:15:23,560 --> 00:15:26,680 Speaker 7: It's a great question, and it's about the evolution of 297 00:15:26,680 --> 00:15:30,000 Speaker 7: a disruptive new technology. We are in the foothills of 298 00:15:30,040 --> 00:15:34,200 Speaker 7: that journey. So who has them today? These are the 299 00:15:34,280 --> 00:15:40,000 Speaker 7: sort of forward thinking academic nissons by a farmer companies, 300 00:15:40,040 --> 00:15:45,120 Speaker 7: particularly you know, the newer waive of synthetic biology, gene editing, bella, 301 00:15:45,160 --> 00:15:51,160 Speaker 7: gene therapy companies. All of these people are creating momentum 302 00:15:51,760 --> 00:15:55,160 Speaker 7: around the use cases and just sort of two to 303 00:15:55,280 --> 00:15:58,760 Speaker 7: three up year outlook, you will see that then moving 304 00:15:58,800 --> 00:16:04,240 Speaker 7: towards routine nical practice. And that's why, in what is 305 00:16:04,320 --> 00:16:07,600 Speaker 7: an incredibly tough market, with all our peer groups either 306 00:16:07,640 --> 00:16:11,720 Speaker 7: posting no growth or negative growth, we have continued to 307 00:16:11,840 --> 00:16:16,080 Speaker 7: hit our year on year growth twenty three percent and 308 00:16:16,640 --> 00:16:20,640 Speaker 7: half two to half two thirty four percent because there 309 00:16:20,720 --> 00:16:24,320 Speaker 7: is that unmet need is being met and at breakneck 310 00:16:24,400 --> 00:16:29,400 Speaker 7: speed on a weekly basis, we see game changing opportunities. 311 00:16:30,080 --> 00:16:34,520 Speaker 7: The next phase of turning that into routine clinical workflows 312 00:16:34,920 --> 00:16:37,360 Speaker 7: is something that will be big for us in twenty 313 00:16:37,400 --> 00:16:40,680 Speaker 7: five and then twenty six, twenty seven you will start 314 00:16:40,720 --> 00:16:46,280 Speaker 7: to see that market penetration too much broader routine use. 315 00:16:46,480 --> 00:16:49,800 Speaker 5: So doctor Sinkara, So I don't know fast forward then 316 00:16:50,280 --> 00:16:52,600 Speaker 5: is it five years from now, seven years from now? 317 00:16:53,000 --> 00:16:56,840 Speaker 5: How might this product that you guys have developed, how 318 00:16:56,920 --> 00:17:02,160 Speaker 5: might it change our worlds? To think about from our audience, 319 00:17:02,200 --> 00:17:06,280 Speaker 5: a Bloomberg audience, from you know, financial perspective and an 320 00:17:06,320 --> 00:17:11,280 Speaker 5: investing perspective. You know what opportunities that that potentially could 321 00:17:11,280 --> 00:17:13,280 Speaker 5: open up as well, or your device could open up 322 00:17:13,280 --> 00:17:13,640 Speaker 5: as well. 323 00:17:14,240 --> 00:17:19,359 Speaker 7: Absolutely so in the last three or four years five years, 324 00:17:20,119 --> 00:17:24,399 Speaker 7: early detection of cancer become a thing liquid biopsy, so 325 00:17:24,520 --> 00:17:28,199 Speaker 7: where you're looking at short fragments of cancer cells before 326 00:17:28,200 --> 00:17:30,800 Speaker 7: there's a tumor, and if you can pick that cancer 327 00:17:30,880 --> 00:17:34,560 Speaker 7: up early, there's a real opportunity that your treatment outcomes 328 00:17:34,560 --> 00:17:39,959 Speaker 7: can be much, much, incredibly improved. So I m visied 329 00:17:40,000 --> 00:17:43,280 Speaker 7: your world three four or five years out where if 330 00:17:43,280 --> 00:17:46,840 Speaker 7: you've had cancer, you're in remission. Instead of going for 331 00:17:46,920 --> 00:17:49,159 Speaker 7: a six monthly check up, you'll do a monthly blood 332 00:17:49,160 --> 00:17:52,280 Speaker 7: test and if you see that cancer reoccur, you pick 333 00:17:52,320 --> 00:17:55,439 Speaker 7: it up immediately and it gets treated. But ultimately, if 334 00:17:55,480 --> 00:17:58,320 Speaker 7: you come from a high risk grouping, because your whole 335 00:17:58,359 --> 00:18:01,880 Speaker 7: genome has been sequenced and we know that you'll then 336 00:18:01,960 --> 00:18:07,280 Speaker 7: be routinely surveyed and distributed, healthcare will become a big thing. 337 00:18:07,720 --> 00:18:11,520 Speaker 7: But let me take that a step further. I'm Punjabi heritage, 338 00:18:11,680 --> 00:18:16,280 Speaker 7: so I have a high propensity tocodiovascular disease and I 339 00:18:16,359 --> 00:18:21,560 Speaker 7: should and probably should be on statins, but it turns 340 00:18:21,600 --> 00:18:26,000 Speaker 7: out that if you were to eat tomato that are 341 00:18:26,080 --> 00:18:29,000 Speaker 7: rich in something called beta licopene, you can get the 342 00:18:29,040 --> 00:18:34,080 Speaker 7: same benefit of a drug statin. Wow, and so I 343 00:18:34,240 --> 00:18:38,679 Speaker 7: envisited your world where through gene editing, I have a 344 00:18:38,760 --> 00:18:41,879 Speaker 7: custom diet that would allow me to not have to 345 00:18:41,920 --> 00:18:45,199 Speaker 7: take a drug but a nutraceutical, in this case a 346 00:18:45,280 --> 00:18:48,920 Speaker 7: tomato that's been cross spread to have high licopene, which 347 00:18:48,960 --> 00:18:52,840 Speaker 7: would have the same benefit of the statin. But it's natural. 348 00:18:53,480 --> 00:18:55,760 Speaker 7: So I think there's just going to be I'm just 349 00:18:55,840 --> 00:19:00,000 Speaker 7: kind of picturing two bookends of where and how ubiquitous 350 00:19:00,119 --> 00:19:04,359 Speaker 7: us The ability to be able to do things with 351 00:19:04,480 --> 00:19:07,879 Speaker 7: genetics and do it at a personalized level will really 352 00:19:07,920 --> 00:19:08,560 Speaker 7: impact us. 353 00:19:08,800 --> 00:19:10,280 Speaker 2: Hey, before we let you go, we only have about 354 00:19:10,280 --> 00:19:14,480 Speaker 2: forty five seconds left, but we have a viewer listener 355 00:19:14,480 --> 00:19:16,760 Speaker 2: getting in touch and curious about what you think on 356 00:19:17,280 --> 00:19:21,719 Speaker 2: about GLP ones. Given that over the last couple of years, Uh, 357 00:19:22,000 --> 00:19:25,000 Speaker 2: this is probably the medical technology that we've talked about 358 00:19:25,000 --> 00:19:25,439 Speaker 2: the most. 359 00:19:27,560 --> 00:19:30,600 Speaker 7: It is an interesting one. I'm looking forward to seeing 360 00:19:30,600 --> 00:19:34,119 Speaker 7: the large cohorts of patients on GLP one being sequenced 361 00:19:34,520 --> 00:19:37,560 Speaker 7: so we can really get that multiomic view and look 362 00:19:37,600 --> 00:19:40,320 Speaker 7: at the cause and effect and better understand the mode 363 00:19:40,359 --> 00:19:42,879 Speaker 7: of action which will be beneficial for everybody. 364 00:19:43,440 --> 00:19:45,760 Speaker 2: So you don't you see a lot you see learning. 365 00:19:45,800 --> 00:19:47,320 Speaker 2: We need to learn a lot more about them. 366 00:19:47,760 --> 00:19:50,879 Speaker 7: I think so we own it's a great start, but 367 00:19:51,040 --> 00:19:55,159 Speaker 7: there are already people talking about side effects and you know, 368 00:19:55,520 --> 00:19:58,280 Speaker 7: not being as impactful as it needs to be. And 369 00:19:58,480 --> 00:20:02,160 Speaker 7: understanding the biology source code of an individual who's taken 370 00:20:02,200 --> 00:20:06,879 Speaker 7: these medicines is where the future lies. That individualized, personalized 371 00:20:06,920 --> 00:20:10,359 Speaker 7: approach will be game changing well, and I think we 372 00:20:10,440 --> 00:20:11,640 Speaker 7: make GLPS more. 373 00:20:11,480 --> 00:20:16,520 Speaker 5: Efficient, interesting, fascinating conversation. I hope we can get you 374 00:20:16,600 --> 00:20:19,560 Speaker 5: back real soon, Doctor Gordon Senghera. He's co founder and 375 00:20:19,640 --> 00:20:22,760 Speaker 5: chief executive officer of Oxford Nanopore Technologies. As we said 376 00:20:22,760 --> 00:20:25,840 Speaker 5: in the London trade soaring about twenty five percent