1 00:00:03,990 --> 00:00:06,420 Sean Aylmer: Welcome to the Fear and Greed Business Interview. I'm Sean 2 00:00:06,420 --> 00:00:10,230 Sean Aylmer: Aylmer. We're officially in an El Nino weather pattern, which 3 00:00:10,230 --> 00:00:13,920 Sean Aylmer: means a hot, dry summer and increased likelihood of drought, 4 00:00:14,219 --> 00:00:18,660 Sean Aylmer: heat waves, and unfortunately, bush fires. Extreme weather events have 5 00:00:18,660 --> 00:00:21,840 Sean Aylmer: an enormous impact on a huge range of businesses from 6 00:00:21,840 --> 00:00:26,279 Sean Aylmer: insurance companies to agricultural producers. Today's guest has built a 7 00:00:26,280 --> 00:00:30,239 Sean Aylmer: company that aims to warn these businesses of impending hazards, 8 00:00:30,389 --> 00:00:32,999 Sean Aylmer: and it uses some of the best climate modeling tech 9 00:00:33,000 --> 00:00:35,638 Sean Aylmer: in the country to do so, Kerry Plowright is the 10 00:00:35,639 --> 00:00:39,510 Sean Aylmer: founder and CEO of Aeeris. Kerry, welcome to Fear and Greed. 11 00:00:39,960 --> 00:00:41,250 Kerry Plowright: Yeah, thank you Sean. Appreciate it. 12 00:00:41,970 --> 00:00:45,030 Sean Aylmer: So take me through what Aeeris does. I have read 13 00:00:45,030 --> 00:00:47,219 Sean Aylmer: it, but I'd like to hear from you. I think 14 00:00:47,219 --> 00:00:48,630 Sean Aylmer: I understand, but I'm not sure. 15 00:00:49,080 --> 00:00:54,389 Kerry Plowright: Yeah, sure. So Aeeris is the listed entity and the wholly owned subsidiary, 16 00:00:54,389 --> 00:00:57,180 Kerry Plowright: which is the operational part, is the early warning network. 17 00:00:57,690 --> 00:01:02,130 Kerry Plowright: And that was kicked off some 17 years ago. And 18 00:01:02,160 --> 00:01:04,860 Kerry Plowright: really the crux of that operation is to be able 19 00:01:04,860 --> 00:01:08,609 Kerry Plowright: to warn people that need warning for a particular metric 20 00:01:09,120 --> 00:01:12,630 Kerry Plowright: that might concern them, and on a spatial basis. And 21 00:01:12,630 --> 00:01:16,440 Kerry Plowright: that's probably the criticality. Our system and what we've developed, 22 00:01:16,440 --> 00:01:20,100 Kerry Plowright: which is called a geographic notification information system, you can 23 00:01:20,130 --> 00:01:22,650 Kerry Plowright: essentially draw a polygon on it of where something's about to 24 00:01:22,650 --> 00:01:26,309 Kerry Plowright: impact. And we have something like seven, eight people, 24/ 25 00:01:26,309 --> 00:01:30,059 Kerry Plowright: 7, around the clock monitoring, plus a whole lot of 26 00:01:30,480 --> 00:01:34,980 Kerry Plowright: data being pulled into our system to effectively notify people or assets 27 00:01:34,980 --> 00:01:39,930 Kerry Plowright: that fall within a warning area. And again, depending on the 28 00:01:39,990 --> 00:01:43,140 Kerry Plowright: particular metric of what it's that they want to be warned for. 29 00:01:44,430 --> 00:01:46,469 Kerry Plowright: And the other part I should click into that, is 30 00:01:46,469 --> 00:01:49,590 Kerry Plowright: that we pull in a lot of monitoring, remote gauges and that 31 00:01:49,590 --> 00:01:52,290 Kerry Plowright: type of thing. And again, depending on the businesses or 32 00:01:52,290 --> 00:01:55,410 Kerry Plowright: people on the end of it, depends on the thresholds 33 00:01:55,500 --> 00:01:58,410 Kerry Plowright: that we put on those. It might be rainfall, it might 34 00:01:58,410 --> 00:02:02,820 Kerry Plowright: be stream gauges, heat gauges, you name it. And we also use a 35 00:02:02,820 --> 00:02:06,059 Kerry Plowright: bunch of other things now, radar derived rainfall we call 36 00:02:06,059 --> 00:02:09,180 Kerry Plowright: it, where we look at accumulation, where gauges aren't, so 37 00:02:09,180 --> 00:02:13,500 Kerry Plowright: that we can do just as effective warning and replacing gauges, that type of thing. 38 00:02:14,610 --> 00:02:17,400 Sean Aylmer: Okay. So just break that down for me. What sort 39 00:02:17,400 --> 00:02:20,610 Sean Aylmer: of geographic area are you talking about in terms of 40 00:02:20,610 --> 00:02:25,560 Sean Aylmer: providing warnings? Are we talking about heavy rain, lightning, extreme 41 00:02:25,560 --> 00:02:28,049 Sean Aylmer: heat? Are they the sorts of things that you're talking 42 00:02:28,050 --> 00:02:32,639 Sean Aylmer: about? I presume everyone from all agriculture, but electricity suppliers 43 00:02:32,639 --> 00:02:34,200 Sean Aylmer: and all sorts of people like that are interested in 44 00:02:34,200 --> 00:02:37,888 Sean Aylmer: this. So I'm just kind of interested in how closely 45 00:02:38,219 --> 00:02:39,958 Sean Aylmer: you can geolocate stuff 46 00:02:40,469 --> 00:02:46,679 Kerry Plowright: To within a meter, three feet. So that's the accuracy 47 00:02:46,680 --> 00:02:50,040 Kerry Plowright: of the polygons that we draw. And it's an interesting 48 00:02:50,040 --> 00:02:54,240 Kerry Plowright: thing because the footprint that we draw for some recipients 49 00:02:54,240 --> 00:02:56,190 Kerry Plowright: is different than others. And I'll give you an example. 50 00:02:56,580 --> 00:03:00,750 Kerry Plowright: So insurance companies run something we call embargo services. So 51 00:03:00,809 --> 00:03:02,730 Kerry Plowright: if you're talking about hail or something like that, we 52 00:03:02,730 --> 00:03:06,780 Kerry Plowright: will map out a polygon, or a fire, of the 53 00:03:06,780 --> 00:03:10,800 Kerry Plowright: footprint of where the fire's going to go. And for insurance companies and things 54 00:03:10,800 --> 00:03:13,768 Kerry Plowright: like that, they need very high resolution and very accurate, 55 00:03:14,309 --> 00:03:17,010 Kerry Plowright: so that they, for instance, may not take cover notes. 56 00:03:17,010 --> 00:03:19,590 Kerry Plowright: Or if it's a rail company, they'll know where to 57 00:03:19,590 --> 00:03:22,530 Kerry Plowright: stop the trains. So they have a completely different need 58 00:03:22,530 --> 00:03:25,590 Kerry Plowright: than say the public. So if we have a council or 59 00:03:25,650 --> 00:03:27,750 Kerry Plowright: a water authority on the end of it, we'll have 60 00:03:27,750 --> 00:03:32,069 Kerry Plowright: a broader footprint for the same event, because that prevents 61 00:03:32,070 --> 00:03:36,119 Kerry Plowright: people from taking inappropriate action. So that they see an 62 00:03:36,119 --> 00:03:38,250 Kerry Plowright: event, of smoke or something on the horizon, they may 63 00:03:38,550 --> 00:03:40,740 Kerry Plowright: get scared and jump in their car and actually inadvertently 64 00:03:40,740 --> 00:03:43,920 Kerry Plowright: drive into it. So what we are doing is making sure 65 00:03:43,920 --> 00:03:46,980 Kerry Plowright: that people have the appropriate information to act accordingly. 66 00:03:48,150 --> 00:03:52,289 Sean Aylmer: Now, Kerry, I'm hesitate to ask this. How do you 67 00:03:52,289 --> 00:03:55,140 Sean Aylmer: do it? And dumb it right down for me please. 68 00:03:55,290 --> 00:03:58,080 Kerry Plowright: Okay, yeah, we have a whole bunch of people sitting 69 00:03:58,080 --> 00:04:02,160 Kerry Plowright: there watching weather events and all hazards all the time. 70 00:04:02,820 --> 00:04:05,460 Kerry Plowright: And they're sitting there with a whole bunch of feeds 71 00:04:05,849 --> 00:04:08,549 Kerry Plowright: coming into them and they're looking at all of them. And we 72 00:04:08,549 --> 00:04:10,649 Kerry Plowright: have a lot of automated systems that will kick into 73 00:04:10,650 --> 00:04:14,220 Kerry Plowright: gear and let them know what particular events which they 74 00:04:14,220 --> 00:04:17,640 Kerry Plowright: need to draw their attention to. And again, the system 75 00:04:17,640 --> 00:04:21,178 Kerry Plowright: identifies when they then see an event, they will then draw 76 00:04:21,178 --> 00:04:23,969 Kerry Plowright: the polygon of where that event is going. And if you're talking 77 00:04:23,969 --> 00:04:27,928 Kerry Plowright: about thunderstorm or hail, you'll be mapping and tracking that 78 00:04:27,928 --> 00:04:30,389 Kerry Plowright: event. And we actually have a particular hail product that 79 00:04:30,720 --> 00:04:34,410 Kerry Plowright: automates some of that stuff. So they'll track that ahead. 80 00:04:34,410 --> 00:04:36,900 Kerry Plowright: So people are getting a warning two hours ahead. And 81 00:04:36,900 --> 00:04:38,849 Kerry Plowright: it depends on the type of threat as to the 82 00:04:38,849 --> 00:04:40,800 Kerry Plowright: amount of forecast warning that you give people. 83 00:04:41,160 --> 00:04:43,080 Sean Aylmer: So just Kerry, just to jump in, so when I 84 00:04:43,080 --> 00:04:46,558 Sean Aylmer: get a text, for example, from my insurer saying this 85 00:04:46,559 --> 00:04:50,550 Sean Aylmer: afternoon or shortly, expect hail in your suburbs, they mentioned 86 00:04:50,550 --> 00:04:53,820 Sean Aylmer: my suburbs specifically. That's the sort of thing you're talking about. 87 00:04:53,850 --> 00:04:56,969 Kerry Plowright: Yeah, yeah. It actually goes out in different ways to 88 00:04:56,970 --> 00:05:00,539 Kerry Plowright: different insurers, because most of them feed off our API. 89 00:05:01,170 --> 00:05:05,910 Kerry Plowright: And depending on their internal system and how they pull locations, it may 90 00:05:06,119 --> 00:05:10,830 Kerry Plowright: be because that polygon runs through a postcode. And subsequently, 91 00:05:10,830 --> 00:05:14,130 Kerry Plowright: if you're in that postcode, you get the notification, albeit 92 00:05:14,130 --> 00:05:16,740 Kerry Plowright: if you've got a car, that's probably pretty useful information anyway. 93 00:05:16,980 --> 00:05:20,730 Sean Aylmer: Yeah, yeah, yeah. Can I ask, in all honesty, how 94 00:05:20,730 --> 00:05:22,079 Sean Aylmer: accurate are you? 95 00:05:22,199 --> 00:05:24,149 Kerry Plowright: We are really good. We've been doing this for a 96 00:05:24,150 --> 00:05:26,250 Kerry Plowright: long time. We're the only ones that do it like 97 00:05:26,250 --> 00:05:29,700 Kerry Plowright: this, period. I think we were the first in the world to 98 00:05:29,700 --> 00:05:33,029 Kerry Plowright: do it. So I actually got the guys building this 99 00:05:33,029 --> 00:05:37,469 Kerry Plowright: back in 2006, and we ran the product out in 100 00:05:37,469 --> 00:05:42,089 Kerry Plowright: 2007, the first. And it would've easily been the first spatial system 101 00:05:42,089 --> 00:05:47,039 Kerry Plowright: for providing locational warnings for severe weather events. It's just 102 00:05:47,040 --> 00:05:49,710 Kerry Plowright: that it was a garage in Terranora out the back of Coolangatta. 103 00:05:49,710 --> 00:05:54,809 Kerry Plowright: Whereas if we'd been in Silicon Valley, might've been a completely 104 00:05:54,809 --> 00:05:57,419 Kerry Plowright: different story by now. But we were doing it, and 105 00:05:57,419 --> 00:06:01,500 Kerry Plowright: in those days it wasn't easy. We had to hard tail. You're talking MSSQL 106 00:06:01,500 --> 00:06:06,570 Kerry Plowright: and asp. net, and there were no services that delivered any sort 107 00:06:06,570 --> 00:06:09,450 Kerry Plowright: of locational stuff, and we were trying to, if you look 108 00:06:09,450 --> 00:06:11,850 Kerry Plowright: at how you figure out somebody's in a particular polygon, 109 00:06:12,330 --> 00:06:14,549 Kerry Plowright: the system isn't actually figuring that out. It's figuring out 110 00:06:14,549 --> 00:06:18,599 Kerry Plowright: who's not in it. So you draw a polygon, and if you've got 111 00:06:18,600 --> 00:06:21,299 Kerry Plowright: a half a million people in there, it's got to suddenly figure out who isn't in 112 00:06:21,300 --> 00:06:24,928 Kerry Plowright: it really quick, to know that who is in it. And 113 00:06:24,930 --> 00:06:27,540 Kerry Plowright: then it could just be two people. And then off 114 00:06:27,540 --> 00:06:29,250 Kerry Plowright: it goes. Because we could draw a polygon around a 115 00:06:29,250 --> 00:06:30,719 Kerry Plowright: house and just those people would get it if they were in it. 116 00:06:31,799 --> 00:06:33,448 Sean Aylmer: Stay with me, Kerry. We'll be back in a minute. 117 00:06:33,449 --> 00:06:44,969 Sean Aylmer: My guest today is Kerry Plowright, founder and CEO of Aeeris. How far 118 00:06:44,970 --> 00:06:47,460 Sean Aylmer: into the future can you forecast? So is this an 119 00:06:47,520 --> 00:06:50,518 Sean Aylmer: hour thing? Is it days? I remember talking to a 120 00:06:50,520 --> 00:06:53,219 Sean Aylmer: weather forecaster once and he said, " Look, anything over a 121 00:06:53,219 --> 00:06:56,370 Sean Aylmer: few days, it's really difficult. It's a real challenge to 122 00:06:56,370 --> 00:06:59,670 Sean Aylmer: get accurate after a few days." I don't know, that 123 00:06:59,670 --> 00:07:00,988 Sean Aylmer: was years ago. So I don't know whether that's still 124 00:07:00,990 --> 00:07:02,820 Sean Aylmer: the case, but how far into the future can you- 125 00:07:02,820 --> 00:07:05,430 Kerry Plowright: Pretty much still the case. Pretty much still the case. 126 00:07:05,430 --> 00:07:10,049 Kerry Plowright: So the way we look at it, three days, four days max, 127 00:07:10,049 --> 00:07:12,300 Kerry Plowright: depending on the stability of the conditions at the time. 128 00:07:12,779 --> 00:07:14,700 Kerry Plowright: Seven days is a real stretch. Just kind of gives 129 00:07:14,700 --> 00:07:17,730 Kerry Plowright: you some idea of what might happen. So we often 130 00:07:17,730 --> 00:07:21,720 Kerry Plowright: provide seven- day forecasts, but because we deliver them daily, 131 00:07:22,349 --> 00:07:23,939 Kerry Plowright: it sort of hones in on what the actual event 132 00:07:24,360 --> 00:07:27,030 Kerry Plowright: is going to be. But the systems that are used 133 00:07:27,030 --> 00:07:32,280 Kerry Plowright: to try to deliver that, the supercomputers, are just amazing. 134 00:07:32,460 --> 00:07:33,870 Kerry Plowright: I mean, the numbers they've got to run on this 135 00:07:33,870 --> 00:07:38,429 Kerry Plowright: are just absolutely insane. And I think it's pretty amazing that we're doing that. But it brings 136 00:07:38,429 --> 00:07:41,910 Kerry Plowright: up the good point about longer term forecasting, because I 137 00:07:41,910 --> 00:07:44,399 Kerry Plowright: get to the type of data that we produce, which 138 00:07:44,400 --> 00:07:47,459 Kerry Plowright: I call, you can operationalize it, you can make decisions 139 00:07:47,459 --> 00:07:50,160 Kerry Plowright: on it. It's what we do. And when you're talking about 140 00:07:50,430 --> 00:07:52,560 Kerry Plowright: climatics, so we have a product called Climatics. And we're really 141 00:07:52,560 --> 00:07:56,400 Kerry Plowright: lucky because we have proprietary data that we've made over the years using 142 00:07:56,400 --> 00:08:00,690 Kerry Plowright: our system, that is able to provide predictive analysis on 143 00:08:00,690 --> 00:08:05,309 Kerry Plowright: sort of a probability basis, of where events are going to occur and the metrics 144 00:08:05,309 --> 00:08:09,120 Kerry Plowright: that are going to occur. And I call it real world data. It's 145 00:08:09,120 --> 00:08:14,760 Kerry Plowright: actual. And unfortunately with people and especially businesses, because very 146 00:08:14,760 --> 00:08:18,959 Kerry Plowright: shortly you're going to have 23,000 businesses requiring to report 147 00:08:18,960 --> 00:08:23,249 Kerry Plowright: on their climate risk because of new regulatory requirements, and 148 00:08:23,309 --> 00:08:26,580 Kerry Plowright: they basically, most of them don't know how and don't know where to start. And 149 00:08:26,580 --> 00:08:28,860 Kerry Plowright: the last thing they want to be doing is using 150 00:08:28,860 --> 00:08:31,320 Kerry Plowright: climate models to be able to try to figure that 151 00:08:31,320 --> 00:08:33,750 Kerry Plowright: out, because they're not really designed for that. Whereas we've 152 00:08:33,750 --> 00:08:37,620 Kerry Plowright: got (inaudible) benchmark data, which would be defensible in 153 00:08:37,650 --> 00:08:40,289 Kerry Plowright: 10 years time. The analogy I use is this, if 154 00:08:40,289 --> 00:08:42,389 Kerry Plowright: you jumped on an airplane and you had a choice 155 00:08:42,389 --> 00:08:45,120 Kerry Plowright: of two pilots, the first pilot had only ever flown 156 00:08:45,120 --> 00:08:48,450 Kerry Plowright: simulators and crashed them every time, and the other pilot 157 00:08:48,450 --> 00:08:51,210 Kerry Plowright: had about 5, 000 hours and it never crashed, which one 158 00:08:51,210 --> 00:08:51,780 Kerry Plowright: would you pick? 159 00:08:54,300 --> 00:08:57,569 Sean Aylmer: So who uses you, Kerry, who are your clients? Insurers, obviously. 160 00:08:57,929 --> 00:08:59,909 Kerry Plowright: Yep. Insurance is a very big part of our business, 161 00:08:59,910 --> 00:09:02,819 Kerry Plowright: probably the largest part. It's growing and I'll get into 162 00:09:02,820 --> 00:09:04,800 Kerry Plowright: the rest in a minute, but the insurance is growing 163 00:09:05,250 --> 00:09:11,340 Kerry Plowright: because of the hail product and RDR, rainfall derived rainfall. So that 164 00:09:11,340 --> 00:09:14,670 Kerry Plowright: particular, we can look into a hailstorm using geo pol 165 00:09:14,670 --> 00:09:19,290 Kerry Plowright: radar and identify the size of the hail in the hailstorm. So that's 166 00:09:19,290 --> 00:09:21,838 Kerry Plowright: how we know how destructive it may or may not be, and also where 167 00:09:21,840 --> 00:09:25,199 Kerry Plowright: that hail is going to fall. The other thing that's 168 00:09:25,200 --> 00:09:29,129 Kerry Plowright: really interesting about insurance companies is that with our climatics 169 00:09:29,130 --> 00:09:32,460 Kerry Plowright: risk, they have to redo their portfolios every year, every 170 00:09:32,460 --> 00:09:37,410 Kerry Plowright: year insurance policies are renewed. So that's where this actual 171 00:09:37,410 --> 00:09:40,740 Kerry Plowright: data becomes really important. And we've built this product so they 172 00:09:40,890 --> 00:09:44,309 Kerry Plowright: can shove on their entire asset base and pull in 173 00:09:44,309 --> 00:09:48,930 Kerry Plowright: through our API, deliver a risk score for every hazard 174 00:09:49,080 --> 00:09:53,608 Kerry Plowright: that they're concerned with those particular assets. And the monetization 175 00:09:53,609 --> 00:09:58,110 Kerry Plowright: on this is fantastic because we ping for every ping, 176 00:09:58,140 --> 00:10:01,679 Kerry Plowright: whether it's every particular hazard, every particular asset. So it's 177 00:10:01,679 --> 00:10:04,500 Kerry Plowright: multiple pings per asset. And of course they have to 178 00:10:04,500 --> 00:10:08,730 Kerry Plowright: redo this every year. So if an insurer has a 179 00:10:08,730 --> 00:10:11,159 Kerry Plowright: couple of hundred thousand assets or more, that's a fairly 180 00:10:11,160 --> 00:10:15,660 Kerry Plowright: substantial monetary return for us. So we've only just started this and 181 00:10:15,660 --> 00:10:18,600 Kerry Plowright: we've pulled in a couple of smaller ones, but we've 182 00:10:18,780 --> 00:10:20,670 Kerry Plowright: got sitting on the books there, just about ready to 183 00:10:20,670 --> 00:10:24,120 Kerry Plowright: go, some much larger ones. Now, they're not there yet 184 00:10:24,210 --> 00:10:27,540 Kerry Plowright: from a guidance point of view, take that with a grain of salt, 185 00:10:27,809 --> 00:10:31,949 Kerry Plowright: but it'll be a fairly significant change for us if 186 00:10:31,949 --> 00:10:34,199 Kerry Plowright: we're able to deliver one of those in the near term. 187 00:10:35,070 --> 00:10:39,450 Sean Aylmer: So outside insurance, who else is this relevant? Government, agriculture, 188 00:10:39,540 --> 00:10:40,228 Sean Aylmer: those groups? 189 00:10:40,380 --> 00:10:44,010 Kerry Plowright: Yeah, Heavy Haul. Heavy Haul is a big one. Rail. So that's 190 00:10:44,010 --> 00:10:46,199 Kerry Plowright: where that RDR comes in because a lot of tracks not 191 00:10:46,199 --> 00:10:48,629 Kerry Plowright: covered by gauges or anything like that. And we're able 192 00:10:48,629 --> 00:10:52,230 Kerry Plowright: to, so we've got all of their gauges in our system 193 00:10:52,230 --> 00:10:53,819 Kerry Plowright: as well, so that we're looking at all of these 194 00:10:53,820 --> 00:10:57,510 Kerry Plowright: things all the time. And we have a whole bunch of procedures and 195 00:10:57,510 --> 00:11:00,509 Kerry Plowright: protocols that we run with those guys, which determine how 196 00:11:00,509 --> 00:11:03,569 Kerry Plowright: fast the trains run, whether they stop and when they 197 00:11:03,570 --> 00:11:05,699 Kerry Plowright: start again. It's one of the few where we provide 198 00:11:06,119 --> 00:11:08,880 Kerry Plowright: a follow- up to say you're all clear, because they need to ... 199 00:11:09,179 --> 00:11:11,458 Kerry Plowright: It's a big deal if you stop trains. It can 200 00:11:11,460 --> 00:11:14,580 Kerry Plowright: really stuff up pretty bad. So that's one. You've got 201 00:11:14,790 --> 00:11:19,799 Kerry Plowright: telecommunications, another people like NBN. So again, nearly all of 202 00:11:19,799 --> 00:11:22,949 Kerry Plowright: our large blue chip customers and they're all blue chip, pull 203 00:11:22,949 --> 00:11:24,900 Kerry Plowright: through an API. So it goes into their system. And 204 00:11:24,900 --> 00:11:27,990 Kerry Plowright: what they do, two parts is one, is they have a coding 205 00:11:27,990 --> 00:11:31,679 Kerry Plowright: system to allocate where people can go, their contractors and 206 00:11:31,679 --> 00:11:34,740 Kerry Plowright: staff, so that they can prevent them from going into areas 207 00:11:34,740 --> 00:11:37,980 Kerry Plowright: that are likely to be impacted by a severe event. 208 00:11:38,040 --> 00:11:41,002 Kerry Plowright: And others are worried about cables and where (inaudible) 209 00:11:41,039 --> 00:11:46,260 Kerry Plowright: might go so that they can anticipate outages and react accordingly. 210 00:11:46,260 --> 00:11:51,840 Kerry Plowright: So that's telecommunications. We've got councils, water authorities. Water authorities 211 00:11:51,840 --> 00:11:56,280 Kerry Plowright: actually use our GNIS. So in addition to us just 212 00:11:56,280 --> 00:11:59,490 Kerry Plowright: going to them with our warnings ourselves, they actually use 213 00:11:59,490 --> 00:12:02,970 Kerry Plowright: our main platform to deliver their own notifications to people 214 00:12:02,970 --> 00:12:06,929 Kerry Plowright: downstream of the dams. SEQ Water, New South Wales State 215 00:12:06,929 --> 00:12:10,289 Kerry Plowright: Water, Melbourne Water, people like that. So that's another one. 216 00:12:10,290 --> 00:12:16,078 Kerry Plowright: Councils, and Parramatta City Council, Newcastle City Council. This is 217 00:12:16,080 --> 00:12:19,020 Kerry Plowright: where people become important. I know tech is great, but people are still 218 00:12:19,020 --> 00:12:22,560 Kerry Plowright: really important. So these sensors I've talked about, 20% of the time they 219 00:12:23,010 --> 00:12:25,709 Kerry Plowright: go off incorrectly or they break, don't go off at all. 220 00:12:26,340 --> 00:12:28,740 Kerry Plowright: And we have people sitting there that can A, if 221 00:12:28,740 --> 00:12:31,002 Kerry Plowright: something looks a bit dodgy, in other words, (inaudible) 222 00:12:30,509 --> 00:12:33,540 Kerry Plowright: lid off a sensor, we will refer it to the 223 00:12:33,540 --> 00:12:36,330 Kerry Plowright: other telemetry that we have to see whether we think 224 00:12:36,330 --> 00:12:39,749 Kerry Plowright: that's a real one or not. And the CBD or 225 00:12:39,780 --> 00:12:43,050 Kerry Plowright: Parramatta or Newcastle would've been (inaudible) out several times 226 00:12:43,050 --> 00:12:45,270 Kerry Plowright: if it wasn't for us saying, " Nah, that's not right. 227 00:12:45,540 --> 00:12:46,290 Sean Aylmer: Okay. Yeah. 228 00:12:46,290 --> 00:12:49,349 Kerry Plowright: Or on the other hand, "Hey, we think something's going on, but 229 00:12:49,349 --> 00:12:53,189 Kerry Plowright: we're not getting anything. What are you seeing at your 230 00:12:53,189 --> 00:12:56,460 Kerry Plowright: end?" And subsequently they send out a notification. So those would be 231 00:12:56,460 --> 00:12:59,400 Kerry Plowright: probably some of the bigger entities we're picking up. Solar 232 00:12:59,400 --> 00:13:02,939 Kerry Plowright: Farms now is another one. Hail is a big problem. 233 00:13:02,940 --> 00:13:06,030 Kerry Plowright: So not just from a monitoring and alerting basis, but 234 00:13:06,030 --> 00:13:09,630 Kerry Plowright: also from a planning basis. We definitely know where the hail tracks 235 00:13:09,630 --> 00:13:13,650 Kerry Plowright: are and we can very much tell businesses where you're 236 00:13:13,650 --> 00:13:15,360 Kerry Plowright: going to be at most risk from a hail event. 237 00:13:16,230 --> 00:13:19,170 Sean Aylmer: Kerry, I have learned a lot today. Thank you for 238 00:13:19,170 --> 00:13:20,458 Sean Aylmer: talking to Fear and Greed. 239 00:13:21,240 --> 00:13:22,320 Kerry Plowright: Thanks John, appreciate it. 240 00:13:22,620 --> 00:13:26,639 Sean Aylmer: That's Kerry Plowright, founder and CEO of Aeeris. This is 241 00:13:26,639 --> 00:13:28,889 Sean Aylmer: the Fear and Greed Business Interview. Join us every morning 242 00:13:28,889 --> 00:13:31,110 Sean Aylmer: for the full episode of Fear and Greed. Australia's best 243 00:13:31,110 --> 00:13:33,838 Sean Aylmer: business podcast. I'm Sean Aylmer. Enjoy your day.