1 00:00:03,560 --> 00:00:07,280 Speaker 1: Gorakoto. Welcome to Shared Lunch. I'm Garth Brain today I'm 2 00:00:07,320 --> 00:00:07,920 Speaker 1: at Holter. 3 00:00:08,360 --> 00:00:08,520 Speaker 2: Now. 4 00:00:08,560 --> 00:00:10,520 Speaker 1: Halter is not a name that you will see on 5 00:00:10,600 --> 00:00:13,280 Speaker 1: the nz X, but it is a name that's on 6 00:00:13,320 --> 00:00:16,880 Speaker 1: the lips of people who follow startups, especially after its 7 00:00:16,880 --> 00:00:21,079 Speaker 1: news that it cited a valuation of one billion US 8 00:00:21,120 --> 00:00:25,200 Speaker 1: dollars in its latest capital rays a unicorn status the 9 00:00:25,280 --> 00:00:28,880 Speaker 1: Kiwi Aqreitech. What's the deal there? Let's go find out. 10 00:00:29,360 --> 00:00:32,639 Speaker 1: But first, there's always some important information you always need 11 00:00:32,680 --> 00:00:34,320 Speaker 1: to keep in mind when investing. 12 00:00:34,560 --> 00:00:37,120 Speaker 3: Investing involves the risk you might lose the money you 13 00:00:37,159 --> 00:00:40,440 Speaker 3: start with. We recommend talking to a licensed financial advisor. 14 00:00:41,200 --> 00:00:45,000 Speaker 3: We also recommend reading product disclosure documents before deciding to invest. 15 00:00:45,280 --> 00:00:47,680 Speaker 3: Everything you're about to see and here is current at 16 00:00:47,680 --> 00:00:48,519 Speaker 3: the time of recording. 17 00:00:48,800 --> 00:00:51,640 Speaker 1: Well, I'm inside here at Halter with Andrew Fraser, who 18 00:00:51,760 --> 00:00:55,000 Speaker 1: is the resident of Halter, which is just a very 19 00:00:55,200 --> 00:00:57,800 Speaker 1: large and ostentatious title. We'll get into what that means, 20 00:00:58,520 --> 00:01:00,639 Speaker 1: but tell me about what we see seeing here. This 21 00:01:00,680 --> 00:01:04,720 Speaker 1: is the evolution of the collar that this business is 22 00:01:04,760 --> 00:01:05,160 Speaker 1: based on. 23 00:01:05,240 --> 00:01:07,520 Speaker 2: Right, Yeah, So we've got the kind of five of 24 00:01:07,520 --> 00:01:10,640 Speaker 2: our iterations of the Holter coller. It all started with 25 00:01:10,920 --> 00:01:14,880 Speaker 2: a system of lunchbox good Kiwi product of course, and 26 00:01:14,959 --> 00:01:18,280 Speaker 2: essentially one controller for one cow. And you can see 27 00:01:18,280 --> 00:01:21,679 Speaker 2: the evolutions through the ages. Our first true collar here, 28 00:01:22,120 --> 00:01:24,679 Speaker 2: our first commercial collar there, which was on our first 29 00:01:25,319 --> 00:01:28,320 Speaker 2: you know, first ten thousand cows or so, our P 30 00:01:28,440 --> 00:01:30,200 Speaker 2: four collar which is the one that I'm holding here 31 00:01:30,240 --> 00:01:32,440 Speaker 2: today as well, and then the next generation as well, 32 00:01:32,800 --> 00:01:34,880 Speaker 2: P five just been launched in the last couple of 33 00:01:34,880 --> 00:01:37,399 Speaker 2: months as well. So really the history of the Halter 34 00:01:37,480 --> 00:01:38,759 Speaker 2: coller altogether. 35 00:01:38,760 --> 00:01:40,160 Speaker 1: Nine years, all in one spot. 36 00:01:40,640 --> 00:01:42,560 Speaker 2: Let's hear all about it up the great looking forward 37 00:01:42,560 --> 00:01:42,760 Speaker 2: to it. 38 00:01:46,319 --> 00:01:51,800 Speaker 1: So, Andrew Fraser, your title Halter is President, Yes, which 39 00:01:51,840 --> 00:01:54,240 Speaker 1: sounds a little grandiose. Do you really tell me all 40 00:01:54,280 --> 00:01:55,880 Speaker 1: about that? Is that like a real pitch to the 41 00:01:55,960 --> 00:01:56,640 Speaker 1: US market. 42 00:01:56,840 --> 00:02:00,600 Speaker 2: It is a fun title to say with a straight face. Yes, 43 00:02:00,720 --> 00:02:02,320 Speaker 2: look at the at the heart of it. It's it's 44 00:02:02,400 --> 00:02:05,560 Speaker 2: quite a common title in the US tech space in 45 00:02:05,600 --> 00:02:07,960 Speaker 2: particular often what it means, which it is in this 46 00:02:08,040 --> 00:02:10,160 Speaker 2: case as well as I look after the broad the 47 00:02:10,200 --> 00:02:14,359 Speaker 2: broader commercial side of the business, so marketing sales, our 48 00:02:14,400 --> 00:02:18,840 Speaker 2: global operations, so our Australian teams, our US teams, support 49 00:02:18,960 --> 00:02:22,560 Speaker 2: success those types of things. So I run the commercial side. 50 00:02:22,840 --> 00:02:25,320 Speaker 2: Craig our founder CEO, much more focused on the product 51 00:02:25,320 --> 00:02:26,600 Speaker 2: and engineering side of the business. 52 00:02:26,880 --> 00:02:28,760 Speaker 1: So he's trying to make the tech work and you're 53 00:02:28,760 --> 00:02:29,720 Speaker 1: trying to make it pay. 54 00:02:30,840 --> 00:02:34,120 Speaker 2: Yes, great way of putting it now, he's bloody good 55 00:02:34,160 --> 00:02:36,120 Speaker 2: at both sides of that, to be fair, but no, 56 00:02:36,160 --> 00:02:38,440 Speaker 2: it's it's a it's a good, good team effort from 57 00:02:38,960 --> 00:02:39,919 Speaker 2: us on the exec as well. 58 00:02:40,200 --> 00:02:42,760 Speaker 1: And you're you joined Holter what in the last year 59 00:02:42,840 --> 00:02:43,399 Speaker 1: or so? Right? 60 00:02:43,639 --> 00:02:48,480 Speaker 2: Yes, joined last June, So just passed my one year anniversaryed. 61 00:02:47,880 --> 00:02:49,760 Speaker 1: Halter, tell me about the T shirts? 62 00:02:50,040 --> 00:02:53,640 Speaker 2: Yeah, so big tradition here is is once you pass 63 00:02:53,720 --> 00:02:57,480 Speaker 2: the one year mark, you get a very beautiful Halter 64 00:02:57,760 --> 00:03:01,040 Speaker 2: sweater which has got the whole sign and also your 65 00:03:01,120 --> 00:03:03,919 Speaker 2: number on it. So I was I was very fortunate 66 00:03:03,919 --> 00:03:07,560 Speaker 2: to be Halter one year maker number two hundred on 67 00:03:07,639 --> 00:03:08,520 Speaker 2: the dot and. 68 00:03:08,480 --> 00:03:10,840 Speaker 1: I guess the plan is to double that number in 69 00:03:10,880 --> 00:03:11,920 Speaker 1: the next little while. 70 00:03:11,800 --> 00:03:15,560 Speaker 2: Right, Yes, Yeah, we're in a big, big growth mode 71 00:03:15,800 --> 00:03:19,560 Speaker 2: right now. We've been building and growing really well and 72 00:03:19,600 --> 00:03:22,120 Speaker 2: I think with the Series D that enables us to 73 00:03:22,160 --> 00:03:25,560 Speaker 2: continue to build more product to support our farmers, improve 74 00:03:25,600 --> 00:03:28,000 Speaker 2: that build our customer side of the ORG as well 75 00:03:28,040 --> 00:03:30,760 Speaker 2: to again to make sure that we are supporting and 76 00:03:30,840 --> 00:03:33,400 Speaker 2: keeping our farmer and ranch and welfare at the heart 77 00:03:33,440 --> 00:03:36,160 Speaker 2: of everything that we do too and really invest in 78 00:03:36,320 --> 00:03:38,600 Speaker 2: both our core market of New Zealand, but then also 79 00:03:39,000 --> 00:03:40,839 Speaker 2: more out in Australia in the US as well. 80 00:03:41,000 --> 00:03:42,760 Speaker 1: I need to bring everybody in here and make sure 81 00:03:43,160 --> 00:03:45,120 Speaker 1: they know what a Series D is and b they 82 00:03:45,160 --> 00:03:45,920 Speaker 1: know exactly. 83 00:03:45,680 --> 00:03:49,640 Speaker 2: What halted us. So you might have jumped up there, sorry, but. 84 00:03:49,680 --> 00:03:53,640 Speaker 1: So Series D you're a company that's privately held, right, yes, 85 00:03:53,680 --> 00:03:56,400 Speaker 1: and so that's a little something unusual for it, maybe 86 00:03:56,520 --> 00:03:59,720 Speaker 1: for cheersis to be talking to because these no immediately 87 00:03:59,800 --> 00:04:03,120 Speaker 1: envis stable opportunity for retail investors. It's all through kind 88 00:04:03,160 --> 00:04:05,480 Speaker 1: of the wholesale side of things, and that's a pretty 89 00:04:05,480 --> 00:04:09,320 Speaker 1: discrete market. Yeah. Yeah, but that's so you've effectively what 90 00:04:09,760 --> 00:04:11,760 Speaker 1: in a series of raises. I think now you're up 91 00:04:11,760 --> 00:04:14,080 Speaker 1: to about two hundred and eighty nine million dollars worth 92 00:04:14,120 --> 00:04:16,000 Speaker 1: of capital that have been raised for the business. 93 00:04:16,240 --> 00:04:20,520 Speaker 2: Yeah, that sounds about right. And so yeah, so the 94 00:04:20,520 --> 00:04:22,560 Speaker 2: way that it's kind of worked is it as various 95 00:04:22,600 --> 00:04:27,080 Speaker 2: milestones throughout the whole history, there have been these raises 96 00:04:27,160 --> 00:04:29,920 Speaker 2: with investors, and I'd say especially a lot of those 97 00:04:30,000 --> 00:04:33,159 Speaker 2: driven by some New Zealand investors, for example Ice House 98 00:04:33,200 --> 00:04:35,480 Speaker 2: being a big driver of that. And this is our 99 00:04:35,720 --> 00:04:39,440 Speaker 2: fourth of those, so ABCD and that's what we celebrated 100 00:04:39,640 --> 00:04:42,040 Speaker 2: I think last week it was in terms of that 101 00:04:42,480 --> 00:04:45,560 Speaker 2: new I guess influx of capital and belief in what 102 00:04:45,600 --> 00:04:46,400 Speaker 2: we're doing as well. 103 00:04:46,720 --> 00:04:49,560 Speaker 1: And with that, so one hundred and sixty five million 104 00:04:49,600 --> 00:04:52,640 Speaker 1: New Zealand raised in that round. Yes, you don't normally 105 00:04:52,640 --> 00:04:53,880 Speaker 1: go to an E round. 106 00:04:53,640 --> 00:04:57,320 Speaker 2: Do you look never say never, And I'd say like 107 00:04:57,320 --> 00:04:59,600 Speaker 2: air wall X is an interesting example. They've got a 108 00:04:59,680 --> 00:05:04,440 Speaker 2: Kiwi co founder. They just closed their series if so 109 00:05:04,520 --> 00:05:08,240 Speaker 2: you can still keep going. It's really up to what 110 00:05:08,320 --> 00:05:12,440 Speaker 2: you need, how you're driving and you know, and and 111 00:05:12,560 --> 00:05:15,760 Speaker 2: various growth metrics and things around that. But yeah, there's 112 00:05:15,760 --> 00:05:18,440 Speaker 2: there's no real limit to the to the series that 113 00:05:18,480 --> 00:05:19,960 Speaker 2: you get to. And I think that eli walal x 114 00:05:19,960 --> 00:05:23,120 Speaker 2: one is a is a cool, cool example of Ossie 115 00:05:23,120 --> 00:05:26,480 Speaker 2: and kiwikw co founders doing bloody good work at the 116 00:05:26,560 --> 00:05:28,000 Speaker 2: at the global tech stage as well. 117 00:05:28,400 --> 00:05:31,120 Speaker 1: So the tech behind Halter, Can you tell us a 118 00:05:31,160 --> 00:05:34,080 Speaker 1: little bit about what is the problem you're trying to 119 00:05:34,120 --> 00:05:36,280 Speaker 1: solve and what does it do Colter. 120 00:05:36,640 --> 00:05:39,680 Speaker 2: At its heart, I'd say is an is an operating 121 00:05:39,720 --> 00:05:42,520 Speaker 2: system for your farm and the primary way that we 122 00:05:42,560 --> 00:05:46,440 Speaker 2: do that is through a collar for cows. It's it 123 00:05:46,520 --> 00:05:50,680 Speaker 2: helps you with virtual fencing and virtual herding. So instead 124 00:05:50,680 --> 00:05:54,720 Speaker 2: of seeing fences, now you're hearing fences if you're a cow. 125 00:05:55,200 --> 00:05:57,360 Speaker 2: So what it means is you can draw the paddock 126 00:05:57,440 --> 00:05:59,240 Speaker 2: or the area that you want your cow has kept 127 00:05:59,800 --> 00:06:02,760 Speaker 2: and collar will kind of keep them in that. The 128 00:06:02,839 --> 00:06:05,159 Speaker 2: virtual herding side of things is similar to that, but 129 00:06:05,200 --> 00:06:07,360 Speaker 2: it actually moves your cows as well. So if you're 130 00:06:07,400 --> 00:06:10,080 Speaker 2: a dairy farmer, the way that it works is you say, hey, 131 00:06:10,520 --> 00:06:12,920 Speaker 2: you know, I want my cows at the dairy shehed 132 00:06:13,040 --> 00:06:15,640 Speaker 2: at four thirty am to start the milking and they 133 00:06:15,640 --> 00:06:19,320 Speaker 2: will be there waiting for you when you arrive. And 134 00:06:19,400 --> 00:06:21,200 Speaker 2: as I said, that all happens kind of via sound 135 00:06:21,279 --> 00:06:24,839 Speaker 2: and vibration. We also help you grow and graze more 136 00:06:24,880 --> 00:06:27,599 Speaker 2: pasture too, So because of how you can move the 137 00:06:27,640 --> 00:06:30,880 Speaker 2: cows and keep the cows and our past GAO metrics 138 00:06:30,880 --> 00:06:33,159 Speaker 2: that we supply in things as well, we help you 139 00:06:33,200 --> 00:06:35,440 Speaker 2: grow and graze more grass, which means that you either 140 00:06:35,480 --> 00:06:39,040 Speaker 2: get more milk production, so that eating more grass, they're 141 00:06:39,080 --> 00:06:41,440 Speaker 2: making more milk, or on the beef side of things, 142 00:06:42,200 --> 00:06:46,599 Speaker 2: that eating more grass so they are getting fatter, which 143 00:06:46,600 --> 00:06:49,479 Speaker 2: you get money from as well. Other things the colar 144 00:06:49,520 --> 00:06:52,520 Speaker 2: can do is you know, heat detection, so it helps 145 00:06:52,520 --> 00:06:56,160 Speaker 2: with the reproduction side of things, the health side, so 146 00:06:56,480 --> 00:06:58,479 Speaker 2: we give early warning to say, hey, you might have 147 00:06:58,480 --> 00:07:02,040 Speaker 2: a lame cow or a sick how and a lot 148 00:07:02,040 --> 00:07:04,240 Speaker 2: of other things from there. But at the heart of 149 00:07:04,240 --> 00:07:06,760 Speaker 2: it, it really is that kind of operating system for cows. 150 00:07:07,200 --> 00:07:09,720 Speaker 1: I guess people probably don't understand quite how complicated and 151 00:07:09,720 --> 00:07:13,200 Speaker 1: how many decisions that a farmer in their business has 152 00:07:13,240 --> 00:07:17,040 Speaker 1: to make right that they're literally trying to get very 153 00:07:17,120 --> 00:07:20,480 Speaker 1: very fine judgments out of the soil, the ground, the pasture, 154 00:07:20,800 --> 00:07:24,160 Speaker 1: the weather conditions, the condition of whatever mobile herd that 155 00:07:24,200 --> 00:07:29,520 Speaker 1: they're running. All of that is pretty tricky. So I mean, 156 00:07:29,520 --> 00:07:30,480 Speaker 1: how do they do it without this? 157 00:07:31,280 --> 00:07:34,960 Speaker 2: Yeah? Oh, look, I'd say as a starting point, I 158 00:07:35,000 --> 00:07:40,400 Speaker 2: think farmers are remarkable folks and the care that they 159 00:07:40,680 --> 00:07:43,760 Speaker 2: universally have for their land and for their animals is 160 00:07:45,080 --> 00:07:48,600 Speaker 2: amazing to see. And maybe if I slightly diverge and 161 00:07:48,600 --> 00:07:50,440 Speaker 2: then I promise I'll come back and answer the question like, 162 00:07:51,280 --> 00:07:54,120 Speaker 2: I didn't grow up on a farm, but my cousin, 163 00:07:54,600 --> 00:07:56,920 Speaker 2: he's my best mate. He's a dairy farmer, and so 164 00:07:57,200 --> 00:07:59,720 Speaker 2: kind of put myself through university milking with him in 165 00:07:59,760 --> 00:08:02,600 Speaker 2: the in the Uni holidays, and even in my first job. 166 00:08:03,640 --> 00:08:05,280 Speaker 2: You know, if I had a pretty tough week, I'd 167 00:08:05,320 --> 00:08:07,240 Speaker 2: go down and milk with him, and that was kind 168 00:08:07,240 --> 00:08:09,720 Speaker 2: of my happy place. And so I'd been able to 169 00:08:09,720 --> 00:08:13,800 Speaker 2: see firsthand how hard farmers are working and how much 170 00:08:13,840 --> 00:08:16,880 Speaker 2: they are they are thinking about this right so right now, 171 00:08:16,880 --> 00:08:19,440 Speaker 2: they might have a big whiteboard and their cowshed measuring 172 00:08:19,480 --> 00:08:22,480 Speaker 2: their round length, or that going out with a plate 173 00:08:22,520 --> 00:08:25,680 Speaker 2: meter which measures their grass growth after every feed and 174 00:08:25,680 --> 00:08:28,920 Speaker 2: before every feed to kind of understand these things. Or 175 00:08:28,960 --> 00:08:31,880 Speaker 2: they're spending hours a day with reels and standards, so 176 00:08:32,800 --> 00:08:37,520 Speaker 2: you know, like pigtails and electric wire to put up 177 00:08:37,520 --> 00:08:39,760 Speaker 2: around their farm to kind of get the optimal amount 178 00:08:39,840 --> 00:08:42,360 Speaker 2: of grass and each break for each mob of cows. 179 00:08:42,840 --> 00:08:47,480 Speaker 2: So incredibly laborious, and you know, I like to think 180 00:08:47,480 --> 00:08:51,920 Speaker 2: that no one goes into into farming to follow cows 181 00:08:52,200 --> 00:08:55,959 Speaker 2: behind on a four by four or to put up reels. 182 00:08:56,200 --> 00:08:58,679 Speaker 2: They go there to get the most out of their 183 00:08:58,679 --> 00:09:01,640 Speaker 2: grass or to you know, get the most milk production, 184 00:09:01,840 --> 00:09:05,400 Speaker 2: or to spend more time with their animals and their land. 185 00:09:06,320 --> 00:09:09,720 Speaker 2: And so we really enable that in a much quicker, 186 00:09:10,520 --> 00:09:14,520 Speaker 2: more accurate way via our app, which is kind of 187 00:09:14,520 --> 00:09:15,880 Speaker 2: part of that whole system as well. 188 00:09:16,280 --> 00:09:19,199 Speaker 1: And I guess so it's not just a device, but 189 00:09:19,240 --> 00:09:22,720 Speaker 1: then obviously it's a series of subscriptions and data that 190 00:09:22,760 --> 00:09:25,360 Speaker 1: sit behind it that are possibly where some of the 191 00:09:25,440 --> 00:09:26,520 Speaker 1: values coming from here. 192 00:09:26,720 --> 00:09:30,160 Speaker 2: Yeah, and for them spot on and I'd say that 193 00:09:30,280 --> 00:09:33,800 Speaker 2: the yeah, it's the reason they call it an operating 194 00:09:33,840 --> 00:09:37,319 Speaker 2: system is it really is a hardware plus software solution 195 00:09:37,640 --> 00:09:41,800 Speaker 2: for the farmer. And so the app it's been it's 196 00:09:41,840 --> 00:09:44,280 Speaker 2: been built to be as easy to use for farmers 197 00:09:44,280 --> 00:09:48,160 Speaker 2: as possible. We've got one of my favorite farmers, Pete Morgan, 198 00:09:48,240 --> 00:09:51,400 Speaker 2: his ninety i think ninety three year old mum sits 199 00:09:51,440 --> 00:09:53,720 Speaker 2: there at home and kind of is using the app 200 00:09:53,720 --> 00:09:55,400 Speaker 2: and having a look at it where all the cows are. 201 00:09:55,840 --> 00:09:57,400 Speaker 2: The flip side of it is we've got a lot 202 00:09:57,440 --> 00:10:01,240 Speaker 2: of farms. There's a guy ross Minson and Canterbury. His 203 00:10:01,360 --> 00:10:04,800 Speaker 2: daughter's at boarding school and she's calling him every night 204 00:10:04,800 --> 00:10:07,000 Speaker 2: to be like, what's happening with this cow or why 205 00:10:07,080 --> 00:10:09,040 Speaker 2: is this cor to break? And I just I love 206 00:10:09,080 --> 00:10:12,280 Speaker 2: it and it really is that kind of enabler for 207 00:10:12,320 --> 00:10:14,920 Speaker 2: all generations of farmers to be able to kind of 208 00:10:15,000 --> 00:10:17,959 Speaker 2: get a view of their farm really quickly and then 209 00:10:17,960 --> 00:10:22,760 Speaker 2: make really strong decisions around productivity and sustainability really easily 210 00:10:22,760 --> 00:10:23,319 Speaker 2: as well. 211 00:10:23,160 --> 00:10:25,839 Speaker 1: Because it's probably not replacing actually being on the land, 212 00:10:25,880 --> 00:10:28,120 Speaker 1: walking around taking a look at the conditions yourself. 213 00:10:28,200 --> 00:10:32,800 Speaker 2: Yeah. Absolutely, And i'd say, you know, great farmers are 214 00:10:32,840 --> 00:10:35,880 Speaker 2: on the farm more with Halter, right, So they are 215 00:10:36,040 --> 00:10:39,080 Speaker 2: when they're coaching their their farm, their farm managers or 216 00:10:39,080 --> 00:10:42,600 Speaker 2: farm workers, they are instead of having to rush to 217 00:10:42,679 --> 00:10:45,120 Speaker 2: do everything, and it's all very much like do this, 218 00:10:45,240 --> 00:10:47,559 Speaker 2: then do that, then do that. You can actually step 219 00:10:47,600 --> 00:10:49,920 Speaker 2: back and I think you can actually take back control 220 00:10:49,960 --> 00:10:53,160 Speaker 2: of farming as well. So the love and life they're 221 00:10:53,160 --> 00:10:55,800 Speaker 2: getting back on farm, we've heard from a number of 222 00:10:55,880 --> 00:10:58,800 Speaker 2: farmers that it's brought that kind of joy back back 223 00:10:58,840 --> 00:11:01,880 Speaker 2: to farming for them. Another thing that I'd say we've 224 00:11:01,880 --> 00:11:05,400 Speaker 2: seen here in farming in New Zealand in general is 225 00:11:05,559 --> 00:11:07,680 Speaker 2: a shift of young people away from farming as a 226 00:11:07,720 --> 00:11:12,040 Speaker 2: career because it is it's tough hours, right, it's early starts. 227 00:11:12,480 --> 00:11:17,240 Speaker 2: It's hard work, and I think this is really we're 228 00:11:17,240 --> 00:11:20,640 Speaker 2: seeing much more and more younger people come into this. 229 00:11:21,120 --> 00:11:23,319 Speaker 2: We hear a lot of stories about, you know, leaving 230 00:11:23,320 --> 00:11:26,440 Speaker 2: a farm and wanting to work on other whole to farms, 231 00:11:26,520 --> 00:11:28,520 Speaker 2: you know, So it's kind of it's a retention tool 232 00:11:28,559 --> 00:11:31,800 Speaker 2: in the industry as well. And that's all because, as 233 00:11:31,800 --> 00:11:34,319 Speaker 2: I say, it takes those jobs that aren't value adding 234 00:11:34,400 --> 00:11:38,600 Speaker 2: jobs away and it replaces it with a great toolkit 235 00:11:38,880 --> 00:11:40,760 Speaker 2: that brings you closer to the land and closer to 236 00:11:40,800 --> 00:11:41,400 Speaker 2: your animals. 237 00:11:41,480 --> 00:11:43,880 Speaker 1: I'm thinking about that example you gave before about the 238 00:11:44,880 --> 00:11:49,200 Speaker 1: young woman talking to a dad. I imagine that for 239 00:11:49,240 --> 00:11:51,800 Speaker 1: a lot of farmers, that's great to hear. A lot 240 00:11:51,880 --> 00:11:54,000 Speaker 1: of them are probably watching their kids saying I'm not 241 00:11:54,120 --> 00:11:58,320 Speaker 1: interested remotely in taking on millions tens of millions of 242 00:11:58,360 --> 00:11:59,960 Speaker 1: dollars worth of debt to try and run this place. 243 00:12:00,240 --> 00:12:02,600 Speaker 1: And I don't know, maybe I'm just not that familiar 244 00:12:02,679 --> 00:12:04,400 Speaker 1: with all of the stuff that you're doing on farm. 245 00:12:05,360 --> 00:12:07,960 Speaker 1: So the app is a way to what try and 246 00:12:08,000 --> 00:12:10,440 Speaker 1: give them another doorway into that spot on. 247 00:12:11,679 --> 00:12:15,360 Speaker 2: Yeah, And I think that's look I'm I reckon, I'm 248 00:12:15,360 --> 00:12:19,600 Speaker 2: the luckiest person at Halter. I'm on the road at 249 00:12:19,679 --> 00:12:22,200 Speaker 2: least every second week right now, every week with our 250 00:12:22,240 --> 00:12:26,880 Speaker 2: teams on farm and just listening to our farmers and 251 00:12:26,920 --> 00:12:29,200 Speaker 2: their stories. And you know, for some it's like what 252 00:12:29,240 --> 00:12:31,120 Speaker 2: brought them into Halter. For some, it's what keeps them 253 00:12:31,120 --> 00:12:33,880 Speaker 2: at Halter. For others, it's you know, potential new business 254 00:12:33,920 --> 00:12:36,080 Speaker 2: to say what Halter could mean for them. And I 255 00:12:36,160 --> 00:12:38,240 Speaker 2: do think that that succession piece is a big one 256 00:12:38,320 --> 00:12:40,960 Speaker 2: for a lot of farmers, you know, in terms of 257 00:12:41,280 --> 00:12:44,200 Speaker 2: bringing that next generation on, giving them the tools and 258 00:12:44,200 --> 00:12:47,560 Speaker 2: the excitement about what it looks like. For some, it's 259 00:12:47,760 --> 00:12:50,199 Speaker 2: you know, extending farming. I was with a lovely couple 260 00:12:50,240 --> 00:12:52,679 Speaker 2: down in the Bay of Plenty recently who were in 261 00:12:52,720 --> 00:12:56,160 Speaker 2: their sixties, and they were like, we love farming, but 262 00:12:56,200 --> 00:12:58,199 Speaker 2: we know that, you know, like when I've got to 263 00:12:58,240 --> 00:12:59,760 Speaker 2: I've got to get up on a step ladder to 264 00:12:59,760 --> 00:13:03,400 Speaker 2: do my like the reproduction side of business, and I 265 00:13:03,440 --> 00:13:05,839 Speaker 2: don't like doing it at this age, and so like 266 00:13:06,000 --> 00:13:08,240 Speaker 2: this will keep us in farming for another five years. 267 00:13:08,559 --> 00:13:11,280 Speaker 2: And I just, you know, it's pretty special being able 268 00:13:11,320 --> 00:13:15,160 Speaker 2: to get out and hear those stories for an industry 269 00:13:15,200 --> 00:13:17,480 Speaker 2: that's so important as a key where you're to New 270 00:13:17,600 --> 00:13:20,640 Speaker 2: Zealand pretty special to kind of hear how alter can 271 00:13:20,720 --> 00:13:22,680 Speaker 2: kind of make that improvement from people's life. 272 00:13:22,840 --> 00:13:25,480 Speaker 1: What sort of penetration have you got then into New 273 00:13:25,559 --> 00:13:27,840 Speaker 1: Zealand obviously it's the main market, it's the home market. 274 00:13:27,880 --> 00:13:28,600 Speaker 1: Where are you at? 275 00:13:28,880 --> 00:13:33,160 Speaker 2: Look, what I'd say is we're just getting started in 276 00:13:33,240 --> 00:13:36,480 Speaker 2: certain in certain communities, in certain kind of places, we've 277 00:13:36,520 --> 00:13:39,240 Speaker 2: got you know, one in every three farms, for example. 278 00:13:39,360 --> 00:13:42,560 Speaker 2: In others it's a lot earlier, a lot earlier stage, 279 00:13:42,800 --> 00:13:44,600 Speaker 2: and we're really seeing it. It is that kind of 280 00:13:44,640 --> 00:13:50,040 Speaker 2: community growth almost is what we're seeing. So farmers trust 281 00:13:50,320 --> 00:13:52,880 Speaker 2: and believe in other farmers, and so what you start 282 00:13:52,880 --> 00:13:54,840 Speaker 2: to see is, you know, you get a few hold 283 00:13:54,840 --> 00:13:57,559 Speaker 2: of farms, then the next or ahbor kind of comes over, 284 00:13:57,640 --> 00:13:59,719 Speaker 2: has a bit of a look and sees what the 285 00:13:59,720 --> 00:14:02,200 Speaker 2: store warriors and gets a bit excited, and then you 286 00:14:02,320 --> 00:14:04,200 Speaker 2: kind of get that farm and then that farm, and 287 00:14:04,240 --> 00:14:09,040 Speaker 2: so there's this big almost network effect there of farms 288 00:14:09,360 --> 00:14:12,920 Speaker 2: seeing the products, seeing the impact, seeing you know, the 289 00:14:13,000 --> 00:14:14,959 Speaker 2: mum and dad on the netball courts on the Saturday, 290 00:14:15,000 --> 00:14:17,640 Speaker 2: whereas previously you'd only ever have one parent and now 291 00:14:17,679 --> 00:14:20,000 Speaker 2: they can both get off farm or going to Fiji 292 00:14:20,040 --> 00:14:22,000 Speaker 2: for a week for their first holiday and years because 293 00:14:22,040 --> 00:14:24,680 Speaker 2: they can still monitor, so they've still got that trust. 294 00:14:24,720 --> 00:14:27,840 Speaker 2: But then you know their farm manager can kind of 295 00:14:27,920 --> 00:14:31,000 Speaker 2: or farm workers can do the work, and that's our 296 00:14:31,040 --> 00:14:34,600 Speaker 2: biggest thing. So what we'd see is in areas where 297 00:14:34,640 --> 00:14:37,560 Speaker 2: we've got that minimum penetration where we start to see that, 298 00:14:37,760 --> 00:14:39,960 Speaker 2: that's where you really get that network effect and get 299 00:14:39,960 --> 00:14:41,880 Speaker 2: that really rapid growth that we've been seeing. 300 00:14:42,040 --> 00:14:44,160 Speaker 1: Would you expect to see the same sort of thing 301 00:14:44,280 --> 00:14:47,760 Speaker 1: in the US, though much bigger market, very very different situation, 302 00:14:47,880 --> 00:14:50,800 Speaker 1: different farming systems, different culture. How is it going to 303 00:14:50,880 --> 00:14:53,240 Speaker 1: go there? It's going really well so far. 304 00:14:54,400 --> 00:14:58,800 Speaker 2: At the heart of it, it's a universal truth. I 305 00:14:58,800 --> 00:15:01,600 Speaker 2: think that farmers and ranches over there, we use the 306 00:15:01,680 --> 00:15:05,080 Speaker 2: term ranchers farmers are a very different thing over there. 307 00:15:05,320 --> 00:15:07,520 Speaker 2: Farmers and ranches care for their land, care for their 308 00:15:07,560 --> 00:15:09,880 Speaker 2: animals as a starting point, and so at the heart 309 00:15:09,960 --> 00:15:14,760 Speaker 2: we still see that. I have been in many conversations 310 00:15:14,840 --> 00:15:17,800 Speaker 2: with US ranches on the ground over there and they 311 00:15:17,800 --> 00:15:21,440 Speaker 2: actually go very similarly to a New Zealand farmer just 312 00:15:21,480 --> 00:15:24,120 Speaker 2: from a few years ago. So the kind of the 313 00:15:24,200 --> 00:15:27,440 Speaker 2: understanding of the product is still in its infancy it's 314 00:15:27,480 --> 00:15:30,000 Speaker 2: not like here where we're at field days a few 315 00:15:30,000 --> 00:15:32,560 Speaker 2: weeks ago. Every farmer that came into the tent knew 316 00:15:32,560 --> 00:15:35,040 Speaker 2: what halter was, knew a little bit about it, knew 317 00:15:35,080 --> 00:15:37,160 Speaker 2: what kind of value it could provide. We're not at 318 00:15:37,160 --> 00:15:40,200 Speaker 2: that stage yet in the US. There's still that educational piece, 319 00:15:40,760 --> 00:15:44,320 Speaker 2: educational phase to it. The other thing about the US 320 00:15:44,680 --> 00:15:47,240 Speaker 2: which I found interesting is we're pretty much selling to 321 00:15:47,320 --> 00:15:52,080 Speaker 2: beef farms only. Something like ninety five percent of US 322 00:15:52,200 --> 00:15:55,680 Speaker 2: dairy is not pasture based. So we're a pasture based company. 323 00:15:55,800 --> 00:15:58,720 Speaker 2: We help cows on grass. Ninety five percent of cows 324 00:15:58,760 --> 00:16:01,040 Speaker 2: in the dairy industry in the USA are not on grass. 325 00:16:01,080 --> 00:16:03,960 Speaker 2: They're in barns or feed lots, and so that's not 326 00:16:04,000 --> 00:16:07,040 Speaker 2: really our target market over there. It's really those those 327 00:16:07,080 --> 00:16:10,600 Speaker 2: classical cows on the range. That's who we're dealing with, 328 00:16:10,640 --> 00:16:12,920 Speaker 2: that kind of the cattle side of things. There so 329 00:16:12,960 --> 00:16:15,360 Speaker 2: a few differences there, but on the whole we're actually 330 00:16:15,360 --> 00:16:17,840 Speaker 2: seeing that you know, a conversation in the US is 331 00:16:17,880 --> 00:16:20,120 Speaker 2: not so dissimilar to a conversation in New Zealand. 332 00:16:20,200 --> 00:16:22,120 Speaker 1: But there'd be a lot of feed lot feeding out 333 00:16:22,200 --> 00:16:24,160 Speaker 1: for those beef cattle as well, right so I wonder, 334 00:16:24,240 --> 00:16:26,880 Speaker 1: I mean, how big is the market there, given that 335 00:16:26,920 --> 00:16:29,400 Speaker 1: pasture doesn't have the same kind of role in the US, 336 00:16:29,600 --> 00:16:32,200 Speaker 1: how big is that total addressable market. 337 00:16:32,480 --> 00:16:34,560 Speaker 2: It's a big one, so i'd say for the US 338 00:16:34,600 --> 00:16:36,680 Speaker 2: it's kind of that one and a half two billion 339 00:16:36,720 --> 00:16:40,920 Speaker 2: dollars of total addressable market, so maybe one and a 340 00:16:40,960 --> 00:16:44,600 Speaker 2: half double New Zealand. That's why we are at a 341 00:16:44,840 --> 00:16:49,480 Speaker 2: very privileged good position here in New Zealand with our 342 00:16:49,560 --> 00:16:53,160 Speaker 2: brilliant pasture based farmers and you know on the dairy 343 00:16:53,200 --> 00:16:55,320 Speaker 2: side and the beef side of things that you know, 344 00:16:55,360 --> 00:16:58,120 Speaker 2: we are a startup that was able to build our 345 00:16:58,160 --> 00:17:02,480 Speaker 2: product in a really really big, advanced market. Like i'd say, 346 00:17:02,720 --> 00:17:05,480 Speaker 2: New Zealand farmers are the best farmers in the world 347 00:17:06,040 --> 00:17:08,399 Speaker 2: in many respects and when it comes to pasture based farming, 348 00:17:08,680 --> 00:17:10,959 Speaker 2: and it's a really really big market. So we were 349 00:17:11,000 --> 00:17:13,240 Speaker 2: lucky we could grow here, we could test our product 350 00:17:13,240 --> 00:17:16,159 Speaker 2: here and it's not puny or irrelevant compared to the 351 00:17:16,160 --> 00:17:19,320 Speaker 2: rest of the world. So New Zealand core market. But yeah, 352 00:17:19,440 --> 00:17:23,280 Speaker 2: US beef it is big. What I would say is, yes, 353 00:17:23,320 --> 00:17:26,359 Speaker 2: there can be some like feedlock finishing. I'm getting really 354 00:17:26,359 --> 00:17:28,920 Speaker 2: into the farming minutia, so bear with me. You can 355 00:17:28,920 --> 00:17:31,679 Speaker 2: get some feedlot finishing, so a cow might live, you know, 356 00:17:31,800 --> 00:17:34,680 Speaker 2: ninety five percent of their life on grass and then 357 00:17:34,720 --> 00:17:37,119 Speaker 2: finish at a feed lot. But we're still working with 358 00:17:37,200 --> 00:17:40,240 Speaker 2: it during that majority of life, you know, out on 359 00:17:40,280 --> 00:17:45,520 Speaker 2: the ranges, out on the prairies, really extensive beef farms. 360 00:17:45,240 --> 00:17:47,400 Speaker 2: That's really the core of what we're doing over there 361 00:17:47,400 --> 00:17:47,960 Speaker 2: in the US. 362 00:17:48,119 --> 00:17:50,560 Speaker 1: Does the technology perform the same on the ground there 363 00:17:50,560 --> 00:17:51,200 Speaker 1: that it would here. 364 00:17:51,800 --> 00:17:55,200 Speaker 2: Yeah, it's the same collar, so we use the same 365 00:17:55,280 --> 00:17:58,640 Speaker 2: collar on a cow, regardless of it's New Zealand, Australia, 366 00:17:58,640 --> 00:18:01,880 Speaker 2: the US beef tear. It's all the same. So at 367 00:18:01,880 --> 00:18:04,160 Speaker 2: the heart of it, the hardware is the same, software 368 00:18:04,240 --> 00:18:07,359 Speaker 2: largely the same. You know, they use different language for 369 00:18:07,400 --> 00:18:11,040 Speaker 2: certain things farmers, ranches, paddocks, pastures, all of those things. 370 00:18:11,080 --> 00:18:13,080 Speaker 2: So there's a few little tweaks there, but for the 371 00:18:13,119 --> 00:18:17,040 Speaker 2: most part, it's all the exact same piece. I'd say 372 00:18:17,040 --> 00:18:19,280 Speaker 2: the big difference is there, like us on a ranch 373 00:18:19,320 --> 00:18:23,480 Speaker 2: in Wyoming recently, which was one hundred thousand hectares. Now, 374 00:18:23,720 --> 00:18:26,960 Speaker 2: you know, a typical dairy farm in the Wykado is 375 00:18:27,359 --> 00:18:31,920 Speaker 2: maybe a hundred hectares, so you know, a thousandfold difference 376 00:18:32,760 --> 00:18:35,600 Speaker 2: in size, but on the whole, the product's still doing 377 00:18:35,640 --> 00:18:38,720 Speaker 2: the same thing. We're still supporting pasture based animals. You 378 00:18:38,800 --> 00:18:40,760 Speaker 2: might go at a slightly different manner, but at the 379 00:18:40,800 --> 00:18:43,040 Speaker 2: heart it's quite nice that it's all that same piece. 380 00:18:43,119 --> 00:18:44,919 Speaker 1: There are other countries in the world where pasture is 381 00:18:44,920 --> 00:18:47,800 Speaker 1: a big deal, like Ireland is one example, big dairy industry, 382 00:18:47,960 --> 00:18:50,680 Speaker 1: very similar to New Zealand. Where's that on the list? 383 00:18:51,560 --> 00:18:54,320 Speaker 2: Yeah, oh, there are some fantastic other markets that I 384 00:18:54,320 --> 00:18:57,520 Speaker 2: think we'll get to one day. I know it's a 385 00:18:57,520 --> 00:18:59,439 Speaker 2: bit of a cheesy answer, but you know there's a 386 00:18:59,440 --> 00:19:01,600 Speaker 2: lot of cows in New Zealand, Australia, in the US, 387 00:19:02,520 --> 00:19:07,280 Speaker 2: and so that's very much our priority right now is 388 00:19:06,680 --> 00:19:10,480 Speaker 2: is is doing a really really good job in those 389 00:19:10,560 --> 00:19:14,080 Speaker 2: three markets, and then yes, other markets will come, but yeah, 390 00:19:14,119 --> 00:19:16,680 Speaker 2: we've we've we've still got a lot of a long 391 00:19:16,720 --> 00:19:18,439 Speaker 2: way to go in those three markets to make it 392 00:19:18,560 --> 00:19:20,800 Speaker 2: really good for our for our farmers and for our customers. 393 00:19:20,840 --> 00:19:22,719 Speaker 1: So yeah, I'm just trying to understand a little bit 394 00:19:22,800 --> 00:19:26,159 Speaker 1: as well, like most people, what it means as a 395 00:19:26,200 --> 00:19:30,760 Speaker 1: company that's a startup to reach a point where you 396 00:19:30,800 --> 00:19:33,320 Speaker 1: can say you're you're worth a billion dollars. That's kind 397 00:19:33,359 --> 00:19:36,600 Speaker 1: of a big moment for a startup. Right Unicorn status, 398 00:19:36,640 --> 00:19:40,280 Speaker 1: I think is what we call it. Yeah, how do 399 00:19:40,320 --> 00:19:43,480 Speaker 1: you put some confidence around that number? 400 00:19:44,000 --> 00:19:48,879 Speaker 2: Yeah, I would say there's there's probably the The internal 401 00:19:48,920 --> 00:19:53,919 Speaker 2: answer is that for us, it's it's a it's an 402 00:19:53,960 --> 00:19:56,520 Speaker 2: exciting thing. I think it's validation for the team and 403 00:19:56,560 --> 00:19:58,639 Speaker 2: for the farmers that believed in us and those things. 404 00:19:59,119 --> 00:20:01,720 Speaker 2: It's just a point in the journey, right, Like, we 405 00:20:01,840 --> 00:20:06,160 Speaker 2: are so excited about what we're building here. The feedback 406 00:20:06,200 --> 00:20:09,600 Speaker 2: we get from farmers like you know you we're you 407 00:20:09,640 --> 00:20:12,080 Speaker 2: know the warehouse that I'm looking at right now, Like 408 00:20:12,119 --> 00:20:17,520 Speaker 2: it's we're building something really special. That's what drives us. 409 00:20:18,359 --> 00:20:20,840 Speaker 2: This is as I said, it's it's exciting, it's cool. 410 00:20:20,880 --> 00:20:23,439 Speaker 2: It's validation for some folks, but really it's just a 411 00:20:23,440 --> 00:20:26,879 Speaker 2: milestone and our journey and we can't wait to keep 412 00:20:26,920 --> 00:20:30,560 Speaker 2: building really cool stuff. And that's that's i'd say the 413 00:20:30,560 --> 00:20:32,720 Speaker 2: priority of everybody you chat to here at Alter as well. 414 00:20:32,760 --> 00:20:35,560 Speaker 1: I guess the question there was around, so you've got 415 00:20:36,320 --> 00:20:39,919 Speaker 1: a company here which you're telling people is worth a 416 00:20:40,160 --> 00:20:44,280 Speaker 1: billion dollars. Who's saying that what confidence are they expressing 417 00:20:44,359 --> 00:20:45,119 Speaker 1: in that number. 418 00:20:45,440 --> 00:20:49,119 Speaker 2: At the heart of it, the investment or the number 419 00:20:49,119 --> 00:20:52,560 Speaker 2: that we're talking about here does come from from our investors. 420 00:20:53,480 --> 00:20:56,679 Speaker 2: The company that's leading the Series D for US as 421 00:20:56,720 --> 00:21:02,040 Speaker 2: a company called bond So US VC company. They spun 422 00:21:02,119 --> 00:21:04,000 Speaker 2: out of Kline Perkins so one of the biggest about 423 00:21:04,040 --> 00:21:07,480 Speaker 2: ten years ago, and have invested in some of the 424 00:21:07,520 --> 00:21:11,800 Speaker 2: biggest startup scale ups tech companies of the past ten. 425 00:21:11,760 --> 00:21:15,480 Speaker 1: Years, name checking like you know Airbnb, can the couple 426 00:21:15,520 --> 00:21:17,040 Speaker 1: of other ones I can probably think about if I 427 00:21:17,119 --> 00:21:17,880 Speaker 1: checked the notes. 428 00:21:17,720 --> 00:21:21,160 Speaker 2: Yes, spot on so the Yeah, they've been there, done 429 00:21:21,200 --> 00:21:24,320 Speaker 2: that with some pretty special tech companies. That's one of 430 00:21:24,359 --> 00:21:28,560 Speaker 2: the things that US drew them to us was their 431 00:21:29,000 --> 00:21:32,159 Speaker 2: pretty special history in terms of execution and growth of 432 00:21:32,200 --> 00:21:34,920 Speaker 2: those companies. But I think the flip of that is 433 00:21:35,200 --> 00:21:38,359 Speaker 2: when they look at us, you know, our factor is 434 00:21:38,400 --> 00:21:41,040 Speaker 2: our revenue and our revenue growth. That's a big, big 435 00:21:41,040 --> 00:21:45,560 Speaker 2: way to kind of build that valuation the you know, 436 00:21:46,119 --> 00:21:49,040 Speaker 2: our impact in the US market and how we've managed 437 00:21:49,080 --> 00:21:54,040 Speaker 2: to grow that quickly and sustainably over there. But I 438 00:21:54,040 --> 00:21:57,520 Speaker 2: think the other piece that really hit home for them 439 00:21:57,560 --> 00:22:00,919 Speaker 2: and they presented this back to us, was was the 440 00:22:01,080 --> 00:22:03,480 Speaker 2: impact that we do have on farmers and ranches as well. 441 00:22:04,400 --> 00:22:06,719 Speaker 2: I think they talked to over twenty farmers and ranches 442 00:22:06,760 --> 00:22:10,600 Speaker 2: across New Zealand, Australia in the US as part of 443 00:22:10,680 --> 00:22:15,000 Speaker 2: their due diligence in US and to understand us. The 444 00:22:15,040 --> 00:22:19,680 Speaker 2: feedback was the way that you know, farmers would only 445 00:22:19,720 --> 00:22:23,280 Speaker 2: farm with Halter or could only farm with Halter, who 446 00:22:23,320 --> 00:22:27,040 Speaker 2: stay in farming too because of Halter. They passed on 447 00:22:27,080 --> 00:22:29,439 Speaker 2: a story about a farmer here in New Zealand that 448 00:22:29,480 --> 00:22:33,280 Speaker 2: have had that had had Halter for five weeks and 449 00:22:33,320 --> 00:22:36,240 Speaker 2: they were saying that he just can't imagine farming without Halter. 450 00:22:36,640 --> 00:22:40,080 Speaker 2: And I think it's those pieces that really hit home 451 00:22:40,119 --> 00:22:44,439 Speaker 2: to them how important this product could be globally. And 452 00:22:44,480 --> 00:22:46,119 Speaker 2: so you put all those together and that's how we 453 00:22:46,200 --> 00:22:48,960 Speaker 2: kind of that's how they get to that valuation. 454 00:22:50,080 --> 00:22:52,359 Speaker 1: I guess we are seeing. I mean, you know, farming 455 00:22:52,400 --> 00:22:56,000 Speaker 1: has already always been about adopting technology and moving things forward. 456 00:22:56,640 --> 00:22:58,560 Speaker 1: You know, Cheersys in particular, I think has got a 457 00:22:58,560 --> 00:23:02,600 Speaker 1: relationship running with Fonterra. It enables a lot of people 458 00:23:02,600 --> 00:23:06,560 Speaker 1: that have shareholding there to manage that effectively. You've introduced 459 00:23:06,560 --> 00:23:10,720 Speaker 1: some things as well, specifically for Fonterra farmers to try 460 00:23:10,800 --> 00:23:13,560 Speaker 1: and make things work. What's going on there a. 461 00:23:13,520 --> 00:23:17,040 Speaker 2: Few pieces here. One we are using Halter on a 462 00:23:17,040 --> 00:23:20,120 Speaker 2: few Fonterra farms, so that's going live kind of as 463 00:23:20,160 --> 00:23:23,679 Speaker 2: we speak right now, and that's because I think Fonterra 464 00:23:23,760 --> 00:23:25,320 Speaker 2: see the benefit in this, but they also want to 465 00:23:25,320 --> 00:23:27,840 Speaker 2: be able to talk to their farmers about it as well. 466 00:23:28,480 --> 00:23:32,760 Speaker 2: And we've also been we've integrated all Fonterra milk production 467 00:23:33,800 --> 00:23:37,080 Speaker 2: into the Holter app as well, So if you know, 468 00:23:37,240 --> 00:23:39,439 Speaker 2: you can look at your app, you can see, ah, 469 00:23:39,600 --> 00:23:42,639 Speaker 2: during this period of time, our cows were grazing a 470 00:23:42,720 --> 00:23:45,600 Speaker 2: little bit more or grazing and ruminating a little bit more, 471 00:23:45,880 --> 00:23:48,320 Speaker 2: and that's had a real impact for us in terms 472 00:23:48,320 --> 00:23:51,320 Speaker 2: of our milk production. So it starts to tie a 473 00:23:51,320 --> 00:23:54,080 Speaker 2: few of those pieces together so that you can actually 474 00:23:54,119 --> 00:23:56,640 Speaker 2: see both the work that you do as a farmer 475 00:23:57,080 --> 00:24:00,280 Speaker 2: how that then impacts milk production, which then obvious see 476 00:24:00,320 --> 00:24:02,280 Speaker 2: how that impacts your revenue as well. So it's a 477 00:24:02,320 --> 00:24:05,119 Speaker 2: great window into that. So again you can kind of 478 00:24:05,200 --> 00:24:07,800 Speaker 2: upskill as a farmer. You can get fairly real time 479 00:24:07,880 --> 00:24:10,080 Speaker 2: input into all of this, and you can tie the 480 00:24:10,119 --> 00:24:12,840 Speaker 2: actions and the activities that you're doing with what it 481 00:24:12,880 --> 00:24:14,520 Speaker 2: means for you from a bottom line perspective. 482 00:24:15,600 --> 00:24:18,040 Speaker 1: You talked about how I mean launching here in New 483 00:24:18,119 --> 00:24:21,760 Speaker 1: Zealand was really really important obviously for this because it's 484 00:24:21,800 --> 00:24:24,520 Speaker 1: so well aligned with dairy and so on. I mean, 485 00:24:24,560 --> 00:24:27,359 Speaker 1: is there something particular about this part of the world 486 00:24:27,400 --> 00:24:32,000 Speaker 1: Here in Australia. I read that we get a much 487 00:24:32,240 --> 00:24:36,880 Speaker 1: greater kind of uptake in terms of startups from every 488 00:24:36,920 --> 00:24:40,199 Speaker 1: dollar of venture capital money that's put in there compared 489 00:24:40,200 --> 00:24:42,520 Speaker 1: to places like the US. Any ideas about why that 490 00:24:42,640 --> 00:24:43,000 Speaker 1: might be. 491 00:24:44,800 --> 00:24:47,159 Speaker 2: Yeah, Look, it's I think there is an element of 492 00:24:47,200 --> 00:24:51,160 Speaker 2: good old Kiui ingenuity. I've got a theory as well 493 00:24:51,200 --> 00:24:54,760 Speaker 2: that you know, we are kind of squirreled away at 494 00:24:54,760 --> 00:24:56,840 Speaker 2: the bottom of the world here. You know, it's four 495 00:24:56,880 --> 00:24:59,280 Speaker 2: hours to get anywhere. It's longer to get even you know, 496 00:24:59,440 --> 00:25:01,919 Speaker 2: further than a Australia and so that there is that 497 00:25:02,040 --> 00:25:07,119 Speaker 2: kind of you know, innovation or desire for growth down here. 498 00:25:07,920 --> 00:25:10,040 Speaker 2: I think there's a pretty cool ecosystem, you know, Like 499 00:25:10,080 --> 00:25:12,960 Speaker 2: I for example, I was at ven for vin for 500 00:25:13,000 --> 00:25:14,960 Speaker 2: a few years and then we got acquired for about 501 00:25:14,960 --> 00:25:18,440 Speaker 2: half a billion Kiwi and you know, you can see 502 00:25:18,440 --> 00:25:20,800 Speaker 2: some vin people in the in the market, like you know, 503 00:25:21,720 --> 00:25:23,600 Speaker 2: helping in some of these companies. Now you've seen the 504 00:25:23,600 --> 00:25:26,760 Speaker 2: same for Trade me and zero and these other kind 505 00:25:26,800 --> 00:25:29,400 Speaker 2: of these exciting pieces, so we're starting to see that grow. 506 00:25:29,840 --> 00:25:32,560 Speaker 2: I also think that, you know, there's a there's a 507 00:25:32,600 --> 00:25:36,760 Speaker 2: good seed investment kind of community here as well, so 508 00:25:37,160 --> 00:25:41,280 Speaker 2: helps get those startups up and running and and and 509 00:25:41,400 --> 00:25:44,560 Speaker 2: kind of creating value in things as well. So you know, 510 00:25:45,000 --> 00:25:47,560 Speaker 2: I think, yeah, I think New Zealand's a pretty special 511 00:25:47,560 --> 00:25:50,359 Speaker 2: place in terms of a lot of those things. Going 512 00:25:50,359 --> 00:25:52,600 Speaker 2: a bit off topic, I do think we should be 513 00:25:52,760 --> 00:25:55,760 Speaker 2: doing more in that agri tech space. You know that 514 00:25:55,800 --> 00:25:58,440 Speaker 2: New Zealand is brilliant at agriculture, is brilliant at tech. 515 00:25:59,160 --> 00:26:01,439 Speaker 2: There are some really cool ag tech startups here in 516 00:26:01,480 --> 00:26:03,680 Speaker 2: New Zealand. But I'd love to see even more as well, 517 00:26:04,480 --> 00:26:07,800 Speaker 2: because I think we are uniquely placed here to be 518 00:26:07,880 --> 00:26:10,919 Speaker 2: building and driving some special stuff in that in that 519 00:26:10,960 --> 00:26:11,720 Speaker 2: ag tech space. 520 00:26:11,960 --> 00:26:13,679 Speaker 1: While you've been telling me that, I checked my notes, 521 00:26:14,520 --> 00:26:17,160 Speaker 1: one point two two unicorns. For every billion of VC 522 00:26:17,320 --> 00:26:20,960 Speaker 1: cash invested in Australia, one point in New Zealand and 523 00:26:20,960 --> 00:26:24,560 Speaker 1: in the US, it's about two thirds of a unicorn 524 00:26:24,600 --> 00:26:27,240 Speaker 1: per billion. So I guess what I'm saying. It sounds 525 00:26:27,280 --> 00:26:28,800 Speaker 1: like we're batting above the averages here. 526 00:26:28,880 --> 00:26:31,160 Speaker 2: Oh cool, I hadn't heard that before. That's exciting. 527 00:26:31,520 --> 00:26:34,399 Speaker 1: Yeah, does that? I mean? Is that just because people 528 00:26:34,480 --> 00:26:38,760 Speaker 1: tend to stay in the network and keep investing, because obviously, 529 00:26:38,800 --> 00:26:41,240 Speaker 1: this is the kind of capital we're talking about is 530 00:26:41,359 --> 00:26:45,000 Speaker 1: not immediately available to retail investors at the moment. It's 531 00:26:45,040 --> 00:26:48,280 Speaker 1: not something that anyone can just leap on an app 532 00:26:48,280 --> 00:26:51,240 Speaker 1: and take a punt on. Can you see that changing? 533 00:26:52,400 --> 00:26:54,399 Speaker 2: Yeah? I think over time. I think that would be 534 00:26:55,160 --> 00:26:57,440 Speaker 2: really great to see. I think that there is that. 535 00:26:58,680 --> 00:26:59,840 Speaker 2: I like how you put it, that kind of re 536 00:27:00,040 --> 00:27:03,600 Speaker 2: investment here. You know, like one of our early investors 537 00:27:03,600 --> 00:27:06,920 Speaker 2: and a real mentor to Craig was Sir Peter Beck 538 00:27:06,960 --> 00:27:12,040 Speaker 2: for example. You know, he built something special, he reinvested it. 539 00:27:12,080 --> 00:27:14,879 Speaker 2: In terms of that, I'd say another one is, you 540 00:27:14,920 --> 00:27:18,439 Speaker 2: know Sam more than from trade Me built something special 541 00:27:18,440 --> 00:27:21,520 Speaker 2: there exited and he was a really key part of 542 00:27:21,560 --> 00:27:24,040 Speaker 2: my vend story. You know, he was one of the 543 00:27:24,040 --> 00:27:26,560 Speaker 2: main investors. He was one of the most vocal folks 544 00:27:26,600 --> 00:27:28,840 Speaker 2: on the board. And so I think there is like 545 00:27:28,960 --> 00:27:32,240 Speaker 2: that's one of the most special elements. But yeah, I 546 00:27:32,240 --> 00:27:35,360 Speaker 2: think I think in terms of retail investors, the more 547 00:27:35,400 --> 00:27:39,320 Speaker 2: that folks are seeing or having access to startup scale ups, 548 00:27:39,520 --> 00:27:42,679 Speaker 2: I think it's an exciting piece. And especially when you 549 00:27:42,680 --> 00:27:45,359 Speaker 2: think about it from a Cheersay's perspective and an investment perspective, 550 00:27:45,760 --> 00:27:49,000 Speaker 2: like having a pretty broad portfolio is good. So getting 551 00:27:49,000 --> 00:27:50,800 Speaker 2: more and more stuff in that early stage is also 552 00:27:51,040 --> 00:27:52,119 Speaker 2: I think a win for folks. 553 00:27:52,440 --> 00:27:54,680 Speaker 1: I guess there's a lot of risk attached to investments 554 00:27:54,720 --> 00:27:56,680 Speaker 1: like that, so absolutely why they sit in the sort 555 00:27:56,680 --> 00:28:00,679 Speaker 1: of the wholesale side of things where effectively completely different 556 00:28:01,600 --> 00:28:05,600 Speaker 1: system set up to to to identify those investments. Yeah, 557 00:28:05,680 --> 00:28:08,399 Speaker 1: so we're too from here, What's what's what's what's the 558 00:28:08,440 --> 00:28:08,920 Speaker 1: next step? 559 00:28:10,160 --> 00:28:12,399 Speaker 2: Yeah? Look, as I said earlier, like I think it's 560 00:28:12,520 --> 00:28:21,439 Speaker 2: it's it's about growing and building. We've got a really exciting, 561 00:28:21,600 --> 00:28:25,760 Speaker 2: cool product and something I'm very proud of, and I 562 00:28:25,800 --> 00:28:28,280 Speaker 2: think the team here is proud of and our farmers 563 00:28:28,280 --> 00:28:32,560 Speaker 2: are proud of, and so I'm I'm just excited to 564 00:28:32,600 --> 00:28:35,960 Speaker 2: get it, you know, on as many farms as possible 565 00:28:36,480 --> 00:28:38,880 Speaker 2: and as many farmers using it and helping us grow 566 00:28:38,920 --> 00:28:42,800 Speaker 2: and improve it going forward as well. So that's Uh, 567 00:28:43,040 --> 00:28:47,520 Speaker 2: that's that's the plan is where it's still it's still early. 568 00:28:48,440 --> 00:28:51,240 Speaker 2: There's there's a long way to go, and so we've 569 00:28:51,240 --> 00:28:54,160 Speaker 2: just got to keep being focused, keep doing bloody good 570 00:28:54,160 --> 00:28:58,280 Speaker 2: stuff every day. And yeah, pretty pretty pumped at what 571 00:28:58,360 --> 00:28:59,120 Speaker 2: it can mean for us. 572 00:28:59,560 --> 00:29:01,440 Speaker 1: It sounds like you're telling me it's a little too 573 00:29:01,480 --> 00:29:04,880 Speaker 1: soon to talk about things like an IPO, whether the 574 00:29:04,920 --> 00:29:07,480 Speaker 1: companies headed to the NASDAK headed off suore to try 575 00:29:07,520 --> 00:29:10,160 Speaker 1: and raise its capital from the public ultimately, or what 576 00:29:10,280 --> 00:29:11,760 Speaker 1: sort of shape Holter winds up in. 577 00:29:13,080 --> 00:29:16,800 Speaker 2: Yeah. So, look, we're very much a KEYWI company and 578 00:29:17,440 --> 00:29:20,840 Speaker 2: our headquarters here, all of our engineers are here, and 579 00:29:21,280 --> 00:29:23,760 Speaker 2: that's gonna that that's going to be our focus for 580 00:29:23,800 --> 00:29:28,000 Speaker 2: the next wee. While down the road, who knows, absolutely, 581 00:29:28,560 --> 00:29:31,440 Speaker 2: you know, could consider that that Nasdaq or IPO path 582 00:29:32,080 --> 00:29:36,160 Speaker 2: could also go more the Stripe SpaceX route of staying 583 00:29:36,200 --> 00:29:40,080 Speaker 2: private and profitable. But right now the focus is really 584 00:29:40,120 --> 00:29:43,880 Speaker 2: on that kind of that building, continuing to make Halters 585 00:29:44,080 --> 00:29:47,280 Speaker 2: as amazing as possible for our farmers and ranches. And 586 00:29:47,320 --> 00:29:49,720 Speaker 2: I think that's what it excites everyone here on a 587 00:29:49,760 --> 00:29:50,600 Speaker 2: day to day basis. 588 00:29:51,000 --> 00:29:54,840 Speaker 1: Andrew Fraser Halter President, Gosh, that's I'm getting used to 589 00:29:54,880 --> 00:29:56,560 Speaker 1: that title, so thank you for your time. 590 00:29:56,840 --> 00:29:58,720 Speaker 2: Really appreciate it. Mate, Thank you so much. 591 00:29:58,600 --> 00:30:03,280 Speaker 1: And thank you for watching listening. iHeart Spotify on the shares. 592 00:30:03,320 --> 00:30:05,720 Speaker 1: He's at YouTube. However you're doing it. We hope you 593 00:30:05,800 --> 00:30:07,840 Speaker 1: enjoyed that. Let us know what you thought, let us 594 00:30:07,880 --> 00:30:10,320 Speaker 1: know what you are curious about, and we'll tackle that 595 00:30:10,360 --> 00:30:12,200 Speaker 1: next time. Kumatu, that's us for now,