1 00:00:00,280 --> 00:00:04,400 Speaker 1: Forget software, apps and video games. Deep tech is currently 2 00:00:04,480 --> 00:00:07,600 Speaker 1: the area tracting the biggest share of early stage investment 3 00:00:07,680 --> 00:00:09,880 Speaker 1: into startup companies here in New Zealand. 4 00:00:10,039 --> 00:00:14,480 Speaker 2: That's the engineering and science driven stuff, technically hard, risky, 5 00:00:14,600 --> 00:00:16,960 Speaker 2: but with a big potential payoff. 6 00:00:17,200 --> 00:00:19,440 Speaker 1: This week on the Business of Tech powered by Two 7 00:00:19,480 --> 00:00:22,360 Speaker 1: Degrees Business, we look at the last decade of deep 8 00:00:22,360 --> 00:00:26,960 Speaker 1: tech investment, with leading investment firm wnt Ventures turning ten 9 00:00:27,080 --> 00:00:30,840 Speaker 1: this month and the government's own Deep Tech Incubator program 10 00:00:31,000 --> 00:00:33,000 Speaker 1: celebrating its tenure milestone too. 11 00:00:33,120 --> 00:00:35,520 Speaker 3: The opportunity in New Zealand for deep tech is really 12 00:00:35,800 --> 00:00:38,240 Speaker 3: it's captured a global trend right. There's been a massive 13 00:00:38,280 --> 00:00:43,040 Speaker 3: global trend towards climate investing, sustainability and impact investing, and 14 00:00:43,520 --> 00:00:46,120 Speaker 3: really for the most part, deep tech is synonymous with 15 00:00:46,200 --> 00:00:46,720 Speaker 3: those things. 16 00:00:47,000 --> 00:00:51,479 Speaker 2: That was Kyle Jones, managing partner from Totonga based WNTU Ventures, 17 00:00:51,680 --> 00:00:53,960 Speaker 2: who we will be hearing more from shortly. 18 00:00:54,280 --> 00:00:56,840 Speaker 1: First up though we are looking at some serious deep 19 00:00:56,880 --> 00:01:00,280 Speaker 1: tech or deep space tech as the case may be. 20 00:01:00,880 --> 00:01:04,200 Speaker 1: A flurry of space related announcements with rocket Lab winning 21 00:01:04,200 --> 00:01:07,720 Speaker 1: a NASA deal that has a potential multi billion dollar payoff. 22 00:01:08,240 --> 00:01:10,720 Speaker 1: Peter Beck fills us in on that soon, but Ben 23 00:01:11,200 --> 00:01:14,200 Speaker 1: two big successes in recent days for rocket labs only 24 00:01:14,240 --> 00:01:17,600 Speaker 1: real rival in the rocket payload space at the moment. 25 00:01:18,000 --> 00:01:22,520 Speaker 2: Yeah, SpaceX has been doing pretty well for itself. Elon 26 00:01:22,640 --> 00:01:25,959 Speaker 2: Musk owned SpaceX. They've first of all, I think the 27 00:01:25,959 --> 00:01:28,800 Speaker 2: most high profile one was that they managed to catch 28 00:01:28,800 --> 00:01:32,200 Speaker 2: a rocket out of midair with chopsticks like mister Miyagi 29 00:01:32,240 --> 00:01:35,399 Speaker 2: and a fly. Maybe that's a little bit facetious, but 30 00:01:35,760 --> 00:01:39,320 Speaker 2: they slowed a rocket that was descending back to Earth 31 00:01:39,480 --> 00:01:42,880 Speaker 2: enough that two big arms could come back and clamp 32 00:01:42,959 --> 00:01:46,720 Speaker 2: either side of it, preventing a more rocky touchdown. 33 00:01:46,880 --> 00:01:49,080 Speaker 1: Yeah. And it's not just any rocket either, it's this 34 00:01:49,160 --> 00:01:53,280 Speaker 1: is the sort of their starship rocket, which can carry 35 00:01:53,320 --> 00:01:57,160 Speaker 1: a lot of equipment and or crew as well. So 36 00:01:57,240 --> 00:02:00,400 Speaker 1: this is really essential to their plans for the Moon 37 00:02:00,480 --> 00:02:04,240 Speaker 1: and going to Mars and putting more equipment into space. 38 00:02:04,840 --> 00:02:07,760 Speaker 1: So to be able to capture the it was the 39 00:02:07,800 --> 00:02:11,200 Speaker 1: booster of that rocket. The actual spaceship part came down 40 00:02:11,240 --> 00:02:14,880 Speaker 1: into the ocean. But to be able to capture that 41 00:02:15,520 --> 00:02:18,280 Speaker 1: in such a technically complex way, to be able to 42 00:02:18,280 --> 00:02:20,960 Speaker 1: do that for the first time, you know the implications 43 00:02:20,960 --> 00:02:24,840 Speaker 1: of that for reusability of rockets is massive. It means 44 00:02:24,840 --> 00:02:27,520 Speaker 1: that you need a lot less equipment to be on 45 00:02:27,560 --> 00:02:30,600 Speaker 1: the landing zone there because obviously SpaceX has been landing 46 00:02:31,080 --> 00:02:33,960 Speaker 1: rockets back on the TIMAC they know how to do that, 47 00:02:34,440 --> 00:02:37,400 Speaker 1: but to be able to grab them out of mid 48 00:02:37,440 --> 00:02:41,239 Speaker 1: air is in the long run hugely cheaper. And that's 49 00:02:41,240 --> 00:02:45,040 Speaker 1: what the pictures with Starship. Not only more payloads so 50 00:02:45,400 --> 00:02:48,200 Speaker 1: lower cost per ton of stuff you're putting into space, 51 00:02:48,800 --> 00:02:52,079 Speaker 1: but that reusability has always been a big thing for SpaceX. 52 00:02:52,160 --> 00:02:54,120 Speaker 1: I think there was a lot of relief in the 53 00:02:54,160 --> 00:02:56,960 Speaker 1: company that that one went well. They went expecting it 54 00:02:57,000 --> 00:02:58,960 Speaker 1: to go as well as it did first time, and. 55 00:02:59,040 --> 00:03:01,440 Speaker 2: Watching it myself, I wasn't expecting it to finish well 56 00:03:01,480 --> 00:03:03,600 Speaker 2: because it was got a shaky entry there. 57 00:03:03,960 --> 00:03:06,639 Speaker 1: Yeah, you've got to, you know, give credit to them. 58 00:03:06,639 --> 00:03:10,360 Speaker 1: That was, you know, incredible achievement. And followed hard on 59 00:03:10,360 --> 00:03:13,640 Speaker 1: on the back of that another SpaceX sort of mission 60 00:03:13,680 --> 00:03:17,760 Speaker 1: with with NASA. This is the heavy Falcon rocket launched 61 00:03:17,960 --> 00:03:21,680 Speaker 1: to Jupiter and in particularly is keen to have a 62 00:03:21,720 --> 00:03:27,480 Speaker 1: look at the moon Europa which orbits Jupiter and Musk 63 00:03:27,560 --> 00:03:30,960 Speaker 1: has said and that NASA backs this up. Probably the 64 00:03:31,040 --> 00:03:34,360 Speaker 1: one place in the Solar System that if there is life, 65 00:03:34,600 --> 00:03:37,440 Speaker 1: is likely to be there because of the frozen ice there, 66 00:03:37,480 --> 00:03:39,560 Speaker 1: they think beneath the surface of that there may be 67 00:03:39,640 --> 00:03:40,640 Speaker 1: traces of life. 68 00:03:41,120 --> 00:03:45,040 Speaker 2: Yeah, it's Europa is kind of famous among space enthusiasts. 69 00:03:45,120 --> 00:03:46,920 Speaker 2: You know, as a as a young kid, one of 70 00:03:46,920 --> 00:03:49,240 Speaker 2: the first things you learn is that you know, Europa 71 00:03:49,320 --> 00:03:52,360 Speaker 2: probably has water and maybe life on it, and so 72 00:03:52,360 --> 00:03:55,520 Speaker 2: so to be able to actually get something to that moon, 73 00:03:55,840 --> 00:03:59,760 Speaker 2: to go inside and actually potentially get some information that 74 00:04:00,080 --> 00:04:01,520 Speaker 2: could be pretty incredible. 75 00:04:01,760 --> 00:04:05,960 Speaker 1: So Europa Clipper that's literally five and a half years 76 00:04:06,000 --> 00:04:11,760 Speaker 1: away from reaching Jupiter. It'll go within twenty five kilometers 77 00:04:12,000 --> 00:04:15,600 Speaker 1: off Europa's surface and do I think at least forty 78 00:04:15,720 --> 00:04:19,800 Speaker 1: nine pass bys off Europa before it moves on, and 79 00:04:19,839 --> 00:04:21,760 Speaker 1: then I think they're going to crash it into one 80 00:04:21,800 --> 00:04:25,159 Speaker 1: of Jupiter's other moons. So that's going to be cool 81 00:04:25,200 --> 00:04:28,080 Speaker 1: to see how all of that plays out. But meanwhile, 82 00:04:28,400 --> 00:04:30,559 Speaker 1: you know all of that is going on. Rocket Lab 83 00:04:31,200 --> 00:04:34,679 Speaker 1: has its own deal that's just been announced with NASA, 84 00:04:35,240 --> 00:04:39,640 Speaker 1: which is about facilitating the return of rock samples from 85 00:04:39,760 --> 00:04:42,480 Speaker 1: the surface of Mars, where you know, they've got a rover. 86 00:04:42,520 --> 00:04:46,239 Speaker 1: Their perseverance has been roving around drilling into the surface 87 00:04:46,279 --> 00:04:49,000 Speaker 1: of Mars collecting rocks. The question is, now, how do 88 00:04:49,040 --> 00:04:52,040 Speaker 1: you get them back? Rocket Lab may have the answer. 89 00:04:52,720 --> 00:04:56,480 Speaker 2: Yeah, a rocket Lab has been selected to do a 90 00:04:56,560 --> 00:05:00,280 Speaker 2: survey on how they could potentially get those samples and 91 00:05:00,360 --> 00:05:04,920 Speaker 2: get back for NASA, and they say that they're going 92 00:05:04,960 --> 00:05:09,160 Speaker 2: to produce a plan for an end to end mission 93 00:05:09,480 --> 00:05:14,240 Speaker 2: that will deliver at a fraction of the cost that NASA, 94 00:05:14,600 --> 00:05:17,239 Speaker 2: or they say their competitors can do it as well. 95 00:05:18,040 --> 00:05:21,840 Speaker 2: NASA initially started doing the numbers and they came to 96 00:05:22,000 --> 00:05:25,000 Speaker 2: a number of about eleven billion US dollars that this 97 00:05:25,080 --> 00:05:28,000 Speaker 2: would cost. So that's when they thought, maybe we should 98 00:05:28,120 --> 00:05:30,240 Speaker 2: stick this one out into the market and see if 99 00:05:30,240 --> 00:05:33,640 Speaker 2: somebody can do better. And rocket Lab thinks that it can. 100 00:05:33,720 --> 00:05:36,919 Speaker 2: They're being paid about six hundred k US with about 101 00:05:36,960 --> 00:05:40,039 Speaker 2: a million New Zealand dollars in order to do the survey, 102 00:05:40,080 --> 00:05:44,960 Speaker 2: which is a nice little boost. But essentially the idea 103 00:05:45,040 --> 00:05:46,839 Speaker 2: is if they do a good enough job, they could 104 00:05:47,000 --> 00:05:50,919 Speaker 2: end up being the recipient of this massive contract that 105 00:05:51,000 --> 00:05:53,320 Speaker 2: would be years or decades long as well. 106 00:05:53,960 --> 00:05:56,840 Speaker 1: Yeah, and this seems like a bit of a rescue 107 00:05:56,880 --> 00:06:00,440 Speaker 1: mission really, that eleven billion dollar figure. Really that was 108 00:06:00,480 --> 00:06:04,599 Speaker 1: the escalating sort of budget when this project ran into trouble. 109 00:06:04,600 --> 00:06:08,039 Speaker 1: It involves the European Space Agency, so like with a 110 00:06:08,080 --> 00:06:11,400 Speaker 1: lot of things, the budgets just keep blowing out and 111 00:06:11,440 --> 00:06:13,360 Speaker 1: getting bigger and bigger and bigger, and NASA has been 112 00:06:13,400 --> 00:06:16,400 Speaker 1: sort of plagued with that, so you know they really 113 00:06:16,440 --> 00:06:19,400 Speaker 1: wanted They went to all the effort to get Perseverance 114 00:06:19,560 --> 00:06:22,680 Speaker 1: onto the surface of Mars and other Mars rovers as well. 115 00:06:22,800 --> 00:06:25,160 Speaker 1: You know, ideally you want to get those materials back 116 00:06:25,240 --> 00:06:28,640 Speaker 1: SOS scientists can analyze them. So there's a lot riding 117 00:06:28,680 --> 00:06:32,200 Speaker 1: on this. This is a small contract for rocket Lab. 118 00:06:32,480 --> 00:06:36,320 Speaker 1: It's sort of a proof of concept or a scoping project, 119 00:06:36,480 --> 00:06:39,599 Speaker 1: but could lead to what would potentially be rocket Lab's 120 00:06:39,680 --> 00:06:42,840 Speaker 1: most complex mission. You're not just talking about using one 121 00:06:42,880 --> 00:06:47,760 Speaker 1: of their rockets to get equipment to Mars, but landing 122 00:06:47,760 --> 00:06:50,080 Speaker 1: on the surface, picking stuff up and getting it back. 123 00:06:50,320 --> 00:06:53,479 Speaker 1: So you caught up with Sir Peter Beck, rocket lab 124 00:06:53,760 --> 00:06:56,640 Speaker 1: co founder and CEO, about this. What's the sense you 125 00:06:56,680 --> 00:07:00,359 Speaker 1: get about how important he views this in in the 126 00:07:00,360 --> 00:07:03,560 Speaker 1: sort of the range of things that rocket Lab currently 127 00:07:03,560 --> 00:07:04,080 Speaker 1: has on the go. 128 00:07:04,960 --> 00:07:08,560 Speaker 2: I think that he is very, very excited by it. 129 00:07:09,400 --> 00:07:11,600 Speaker 2: I think that he thinks Rocket Lab has a really 130 00:07:11,640 --> 00:07:15,520 Speaker 2: good opportunity to be to be selected for the mission. 131 00:07:16,160 --> 00:07:18,080 Speaker 2: I don't think he thinks it's make or break for 132 00:07:18,160 --> 00:07:22,360 Speaker 2: the company, because he said he is extremely confident about 133 00:07:22,400 --> 00:07:24,440 Speaker 2: the future of the company. But it's the kind of 134 00:07:24,560 --> 00:07:27,840 Speaker 2: thing that I think he sees as being extremely valuable 135 00:07:28,040 --> 00:07:32,000 Speaker 2: for the company in terms of reputation, but also you know, 136 00:07:32,040 --> 00:07:35,200 Speaker 2: the commercial The commercial aspect to it is pretty massive. 137 00:07:35,800 --> 00:07:38,080 Speaker 2: He also talked a little bit about the physics challenge 138 00:07:38,080 --> 00:07:40,840 Speaker 2: of it, the engineering challenge of it. So here's how 139 00:07:40,880 --> 00:07:43,640 Speaker 2: he kind of explained what is going to need to 140 00:07:43,680 --> 00:07:45,840 Speaker 2: happen to complete this mission. 141 00:07:46,400 --> 00:07:49,559 Speaker 4: If you can have enough energy to get to the Moon, 142 00:07:50,080 --> 00:07:53,800 Speaker 4: it's surprisingly small amount of energy. You need to get 143 00:07:53,840 --> 00:07:56,720 Speaker 4: to Mars, and that's okay if you're just going to Mars, 144 00:07:57,040 --> 00:07:59,840 Speaker 4: but you're not. You need to go to Mars and 145 00:08:00,080 --> 00:08:03,680 Speaker 4: then land on Mars, and that's tough. But also you 146 00:08:03,760 --> 00:08:07,160 Speaker 4: have to carry all of the mass and energy to 147 00:08:07,320 --> 00:08:11,000 Speaker 4: escape Mars. It is very very difficult. And then you know, 148 00:08:11,040 --> 00:08:13,200 Speaker 4: as the requirements of the program, you have to bring 149 00:08:13,240 --> 00:08:16,000 Speaker 4: it back, so you have to gain positive C three 150 00:08:16,000 --> 00:08:20,080 Speaker 4: out of Mars and then back into the Earth gravity system, 151 00:08:21,120 --> 00:08:23,240 Speaker 4: and then you know you're coming from Mars or your 152 00:08:23,320 --> 00:08:26,880 Speaker 4: velocity is super high, so you have to slow down 153 00:08:26,880 --> 00:08:28,960 Speaker 4: and so you don't just burn up in the atmosphere 154 00:08:29,000 --> 00:08:33,560 Speaker 4: and then re enter and land these things safely, and 155 00:08:33,679 --> 00:08:37,360 Speaker 4: you have all the planetary protection elements as well, because 156 00:08:38,040 --> 00:08:39,959 Speaker 4: you know, we can't bring Earth germs to Mars or 157 00:08:40,040 --> 00:08:43,480 Speaker 4: Mars germs to Earth. It's just crazy, you know, it's 158 00:08:43,520 --> 00:08:47,200 Speaker 4: technical craziness. But a lot of those really really fundamental 159 00:08:47,240 --> 00:08:50,439 Speaker 4: elements we've already demonstrated that we can do. I think 160 00:08:50,440 --> 00:08:53,400 Speaker 4: that's why we feel well placed to have a crack. 161 00:08:53,559 --> 00:08:58,600 Speaker 1: Okay, so technically very difficult, there's no shoying away from that, 162 00:08:59,160 --> 00:09:02,160 Speaker 1: but in many ways that it's what draws the best 163 00:09:02,240 --> 00:09:06,120 Speaker 1: engineering talent. So I guess this is something that they 164 00:09:06,120 --> 00:09:09,320 Speaker 1: can hold up both in the US and New Zealand 165 00:09:09,440 --> 00:09:11,880 Speaker 1: as something do you want to come and work on 166 00:09:11,880 --> 00:09:16,160 Speaker 1: one of the most cutting edge, difficult challenges in space. 167 00:09:16,840 --> 00:09:19,480 Speaker 1: Come to Rocket Lab for the opportunity to do that. 168 00:09:19,920 --> 00:09:22,560 Speaker 2: Exactly. That's exactly what Back kind of said to me. 169 00:09:22,960 --> 00:09:24,280 Speaker 2: Here's how he put it. 170 00:09:24,640 --> 00:09:27,360 Speaker 4: People come to rocket Lab because we build beautiful stuff 171 00:09:27,360 --> 00:09:31,760 Speaker 4: that works beautifully. So I think I think everybody understands that, 172 00:09:32,600 --> 00:09:35,800 Speaker 4: of course, these these very high, high profile national missions 173 00:09:36,400 --> 00:09:39,400 Speaker 4: build build great reputation, But I don't I don't think 174 00:09:39,400 --> 00:09:42,280 Speaker 4: it makes all breaks the company with respect to you know, 175 00:09:43,080 --> 00:09:48,079 Speaker 4: commercial customers coming to us to execute on their projects. 176 00:09:48,640 --> 00:09:51,920 Speaker 4: But I mean, you know, it is from an engineer's perspective, 177 00:09:51,920 --> 00:09:54,640 Speaker 4: it's an absolute dream to work on such a such 178 00:09:54,640 --> 00:09:59,599 Speaker 4: an incredible, incredible project. You know that these aren't trivial contracts. 179 00:09:59,640 --> 00:10:03,240 Speaker 4: I mean, NASA decided to bid this out to industry 180 00:10:03,520 --> 00:10:06,400 Speaker 4: after you know, their internal program reached a price tag 181 00:10:06,440 --> 00:10:10,880 Speaker 4: of eleven billion dollars USD, so you know it has 182 00:10:10,920 --> 00:10:12,839 Speaker 4: to be cheaper than that. But you know, this is 183 00:10:12,880 --> 00:10:16,679 Speaker 4: a multi multi billion dollar project and program spread over 184 00:10:16,720 --> 00:10:19,320 Speaker 4: a number of years, So in its own right, it's 185 00:10:19,360 --> 00:10:21,520 Speaker 4: a it's a very large commercial opportunity. 186 00:10:22,000 --> 00:10:24,600 Speaker 2: So there's no real overstating how valuable this kind of 187 00:10:24,720 --> 00:10:30,480 Speaker 2: contract is for rocket Lab. But also Peter Beck is 188 00:10:30,640 --> 00:10:33,400 Speaker 2: at heart kind of a space nerd as well, you know, 189 00:10:33,920 --> 00:10:37,520 Speaker 2: and so for him it's also a really exciting thing 190 00:10:37,679 --> 00:10:40,120 Speaker 2: to get to be part of, just in terms of 191 00:10:40,240 --> 00:10:44,480 Speaker 2: the historical value of it. So here's what he kind 192 00:10:44,480 --> 00:10:48,560 Speaker 2: of said about some of the cynicism around these expensive 193 00:10:48,600 --> 00:10:49,480 Speaker 2: space projects. 194 00:10:49,559 --> 00:10:51,040 Speaker 4: I think a lot of people look at these kind 195 00:10:51,040 --> 00:10:53,240 Speaker 4: of projects and go, you know, with all the all 196 00:10:53,280 --> 00:10:56,120 Speaker 4: of the troubles going on in the world and you know, 197 00:10:56,200 --> 00:10:59,000 Speaker 4: depressed economies, why are we going to Mars to pick 198 00:10:59,080 --> 00:11:01,360 Speaker 4: up some stupid rock? You know, it would be very 199 00:11:01,400 --> 00:11:04,160 Speaker 4: easy to to kind of fall into that. But I 200 00:11:04,160 --> 00:11:07,960 Speaker 4: think it you know that both the things that you did, 201 00:11:08,040 --> 00:11:10,600 Speaker 4: the technology you develop along the way, I think, you know, 202 00:11:10,640 --> 00:11:13,800 Speaker 4: the scientific discovery that's going to be heralded from from 203 00:11:13,840 --> 00:11:16,439 Speaker 4: actually having these samples is I think it's going to 204 00:11:16,440 --> 00:11:19,080 Speaker 4: be enormous because they weren't just willing nelly willy nelly 205 00:11:19,200 --> 00:11:23,040 Speaker 4: rocks right there. They're things that that that scientists really 206 00:11:23,040 --> 00:11:26,439 Speaker 4: want to understand and and I think it can open, 207 00:11:26,679 --> 00:11:29,719 Speaker 4: you know, answer bigger questions of origins of life. You know, 208 00:11:29,880 --> 00:11:31,840 Speaker 4: was the life on Mars and all of these kinds 209 00:11:31,840 --> 00:11:34,360 Speaker 4: of things and and those those are those are big 210 00:11:34,400 --> 00:11:38,240 Speaker 4: important questions to answer the benefit all all of mankind. 211 00:11:39,120 --> 00:11:43,360 Speaker 1: So, Peter Beck, there a very interesting project that they 212 00:11:43,440 --> 00:11:47,600 Speaker 1: are embiking on. If they can really prove their their worth. 213 00:11:47,600 --> 00:11:52,280 Speaker 1: They've done that with NASA before they've had the Moon mission. 214 00:11:52,280 --> 00:11:57,360 Speaker 1: They're involved in another Mars related mission. But then you've 215 00:11:57,360 --> 00:11:59,920 Speaker 1: got in the background again, you've got Space x one 216 00:12:00,160 --> 00:12:02,240 Speaker 1: to go to Mars as well. So I wonder if 217 00:12:02,280 --> 00:12:04,240 Speaker 1: they're going to be on a sort of a collision 218 00:12:04,280 --> 00:12:08,760 Speaker 1: course with this big Elon Musk run company for that 219 00:12:08,880 --> 00:12:15,560 Speaker 1: opportunity to get the big contract from from NASA, the 220 00:12:15,600 --> 00:12:18,480 Speaker 1: one that is going to result maybe in billions of 221 00:12:18,480 --> 00:12:19,479 Speaker 1: dollars of revenue. 222 00:12:19,920 --> 00:12:22,240 Speaker 2: Yeah, it's going to come down to I think the 223 00:12:22,280 --> 00:12:25,840 Speaker 2: finer points. They're both going to have big rockets. Assuming 224 00:12:25,880 --> 00:12:28,120 Speaker 2: everything goes well with Neutron, They're both going to have 225 00:12:28,200 --> 00:12:31,640 Speaker 2: reliable big rockets as well, which is super important. Who 226 00:12:31,679 --> 00:12:34,200 Speaker 2: can deliver the most around. 227 00:12:33,920 --> 00:12:34,600 Speaker 4: That as well? 228 00:12:34,960 --> 00:12:36,679 Speaker 2: Or will it end up being we're going to use 229 00:12:36,679 --> 00:12:39,560 Speaker 2: the Falcon or the Starship for the actual rocket side 230 00:12:39,559 --> 00:12:42,120 Speaker 2: of things, and then we want to use you know, 231 00:12:42,320 --> 00:12:46,040 Speaker 2: some of the other service stuff that Rocket Lab offers 232 00:12:46,320 --> 00:12:48,720 Speaker 2: in order to support that. Maybe it will end up 233 00:12:48,720 --> 00:12:52,400 Speaker 2: being something like that, but I don't necessarily think it 234 00:12:52,400 --> 00:12:55,720 Speaker 2: will because Peter Beck spoke at length about the importance 235 00:12:55,760 --> 00:13:00,240 Speaker 2: of vertical integration in keeping things, you know, efficient and 236 00:13:00,640 --> 00:13:04,800 Speaker 2: deliverable at a reasonable price. So either way, I'm definitely 237 00:13:04,840 --> 00:13:07,320 Speaker 2: going to be an interesting thing to watch over the 238 00:13:07,440 --> 00:13:09,600 Speaker 2: coming year as NASA makes up its mind. 239 00:13:10,400 --> 00:13:13,280 Speaker 1: It sure will be. And rocket Lab, of course, is 240 00:13:13,320 --> 00:13:16,280 Speaker 1: one of our best known startups, but it's easy to 241 00:13:16,400 --> 00:13:19,960 Speaker 1: forget that the company is nearly twenty years old now. 242 00:13:20,000 --> 00:13:22,280 Speaker 1: It really took a decade of development to get to 243 00:13:22,320 --> 00:13:25,760 Speaker 1: the point where it could make regular satellite launches for 244 00:13:25,760 --> 00:13:27,000 Speaker 1: its customers. 245 00:13:26,679 --> 00:13:29,959 Speaker 2: And yeah, that really epitomizes deep tech, which is kind 246 00:13:29,960 --> 00:13:33,640 Speaker 2: of characterized by lengthy research and development and the need 247 00:13:33,679 --> 00:13:38,280 Speaker 2: for large capital investment before it can be really successfully commercialized. 248 00:13:38,679 --> 00:13:43,440 Speaker 1: Rocket Science is classic deep tech hard mathematics, physics, but 249 00:13:43,480 --> 00:13:45,959 Speaker 1: also material science and even software. 250 00:13:46,240 --> 00:13:48,600 Speaker 2: Deep tech is a fairly loose term, and it also 251 00:13:48,640 --> 00:13:52,239 Speaker 2: extends to cover medical related technology and artificial intelligence. 252 00:13:52,679 --> 00:13:56,199 Speaker 1: The point is it's not an easy pathway to success, 253 00:13:56,240 --> 00:13:58,640 Speaker 1: but the barriers you have to get over to be 254 00:13:58,679 --> 00:14:01,840 Speaker 1: successful over very high, so the rewards can be great. 255 00:14:02,480 --> 00:14:04,920 Speaker 1: So it's pleasing to see a greater focus here in 256 00:14:04,920 --> 00:14:08,240 Speaker 1: New Zealand on deep tech as investors spot opportunities in 257 00:14:08,280 --> 00:14:11,120 Speaker 1: our research system and are willing to back them with 258 00:14:11,240 --> 00:14:12,559 Speaker 1: investment dollars. 259 00:14:12,520 --> 00:14:16,440 Speaker 2: And WNT Ventures is one of the country's leading deep 260 00:14:16,480 --> 00:14:19,800 Speaker 2: tech investors. It's just turned ten years old and has 261 00:14:19,800 --> 00:14:23,160 Speaker 2: completed three funds to back startups and is now eyeing 262 00:14:23,240 --> 00:14:24,120 Speaker 2: up its fourth. 263 00:14:24,520 --> 00:14:27,160 Speaker 1: Its arrival on the deep tech investment scene really went 264 00:14:27,480 --> 00:14:30,720 Speaker 1: hand in hand with the establishment of Callahan Innovation's Deep 265 00:14:30,760 --> 00:14:35,680 Speaker 1: Tech Incubator program in twenty fourteen. It selected a handful 266 00:14:35,720 --> 00:14:39,520 Speaker 1: of deep tech investment firms, WNT among them, to incubate 267 00:14:39,640 --> 00:14:44,400 Speaker 1: startups focused on hard science and engineering related opportunities. 268 00:14:44,600 --> 00:14:48,000 Speaker 2: It offered a repayable grant to give them some seed funding, 269 00:14:48,320 --> 00:14:50,680 Speaker 2: and the incubator host had to chip in some cash 270 00:14:50,720 --> 00:14:51,280 Speaker 2: to go with it. 271 00:14:51,680 --> 00:14:54,120 Speaker 1: A new report out from Callahan, which I was involved 272 00:14:54,160 --> 00:14:57,920 Speaker 1: in writing, looks back over that decade and the progress 273 00:14:58,000 --> 00:15:01,560 Speaker 1: to date and the numbers look quite promising. Eighty odd 274 00:15:01,600 --> 00:15:08,720 Speaker 1: companies received mentorship and crucially funding, seventy two percent success 275 00:15:08,800 --> 00:15:13,040 Speaker 1: rate and in a risky business, they've done quite well. 276 00:15:13,080 --> 00:15:15,280 Speaker 1: They've gone on to raise at least three hundred million 277 00:15:15,360 --> 00:15:18,520 Speaker 1: in follow on capital, which is a fair chunk of money. 278 00:15:18,800 --> 00:15:21,640 Speaker 2: Yeah, and given WNT Ventures was there from the start 279 00:15:21,680 --> 00:15:24,920 Speaker 2: and is the only incubator to be re selected to 280 00:15:24,960 --> 00:15:28,680 Speaker 2: participate in the Deep Deach Incubator program, then who's better 281 00:15:28,840 --> 00:15:32,920 Speaker 2: to reflect on the past decade than managing partner of WNT, 282 00:15:33,120 --> 00:15:38,000 Speaker 2: Carl Jones. So on that. Here's Peter's interview with Carl. 283 00:15:44,680 --> 00:15:47,680 Speaker 1: Carle Jones. Welcome to the Business of Tech. Thanks so 284 00:15:47,800 --> 00:15:48,760 Speaker 1: much for coming on the show. 285 00:15:48,920 --> 00:15:50,520 Speaker 5: No problem, Peter, thanks for inviting me. 286 00:15:50,720 --> 00:15:54,200 Speaker 1: It's a real opportune time to talk to you. Ten 287 00:15:54,280 --> 00:15:59,800 Speaker 1: years of WNT ventures started in twenty fourteen. Also ten 288 00:16:00,080 --> 00:16:04,440 Speaker 1: years of the government's Deep Tech Incubator program. We're going 289 00:16:04,480 --> 00:16:07,360 Speaker 1: to talk about that, but very much your progress over 290 00:16:07,400 --> 00:16:09,920 Speaker 1: the last decade has sort of been intertwined with that 291 00:16:10,240 --> 00:16:13,600 Speaker 1: government effort. But Kyle, give us the origin story, the 292 00:16:13,720 --> 00:16:17,440 Speaker 1: genesis of WNT. Take us back to twenty fourteen or 293 00:16:17,440 --> 00:16:19,800 Speaker 1: twenty thirteen when you were sort of looking at setting 294 00:16:19,880 --> 00:16:22,920 Speaker 1: up this. What was the impetus behind it back then? 295 00:16:23,080 --> 00:16:26,840 Speaker 3: Yeah, well, actually back the time, I was working with 296 00:16:27,160 --> 00:16:30,120 Speaker 3: what's now in New Zealand Growth Capital Partners used to 297 00:16:30,120 --> 00:16:33,600 Speaker 3: be New Zealand Venture Investment funder, working alongside the likes 298 00:16:33,600 --> 00:16:36,480 Speaker 3: of Francesca Banger and Chris Twists and Aaron Tragascus at 299 00:16:36,520 --> 00:16:40,480 Speaker 3: the time, and I was I think I'd been traveling 300 00:16:40,480 --> 00:16:43,800 Speaker 3: with some we were in Hong Kong with some investor 301 00:16:43,840 --> 00:16:46,640 Speaker 3: groups that we were taking over there to establish the 302 00:16:46,800 --> 00:16:50,000 Speaker 3: We had established a Taiwan fund actually at the time. 303 00:16:50,640 --> 00:16:53,600 Speaker 3: And one of the guys that was on that trip 304 00:16:53,680 --> 00:16:58,760 Speaker 3: with me was Steve Saunders, who's subsequently founded Robotics Plus 305 00:16:58,800 --> 00:17:01,480 Speaker 3: and was integral with rocket Apples and things like that. 306 00:17:01,960 --> 00:17:06,240 Speaker 3: And we were chatting and he indicated I was interested 307 00:17:06,280 --> 00:17:10,040 Speaker 3: in coming back to my hometown of Totonga, and he said, well, 308 00:17:10,080 --> 00:17:12,520 Speaker 3: I might have an opportunity for you at some point, 309 00:17:12,560 --> 00:17:14,320 Speaker 3: and so that that was sort of the genesis of 310 00:17:14,400 --> 00:17:16,760 Speaker 3: me being brought into W and T. But W and 311 00:17:16,760 --> 00:17:19,480 Speaker 3: T itself was really established in response to the tech 312 00:17:19,520 --> 00:17:20,320 Speaker 3: Incubata scheme. 313 00:17:21,119 --> 00:17:23,359 Speaker 5: So the W, the N and the T. 314 00:17:23,720 --> 00:17:26,560 Speaker 3: I won't delve into the where those letters come from, 315 00:17:26,600 --> 00:17:29,360 Speaker 3: but they are effectively they're, you know, the three founding 316 00:17:29,440 --> 00:17:33,720 Speaker 3: kind of parties involved, and they would all applied separately 317 00:17:33,800 --> 00:17:36,800 Speaker 3: for the tech Incubota scheme and eventually they said, look, 318 00:17:36,800 --> 00:17:38,080 Speaker 3: we're not going to get three of them here, why 319 00:17:38,119 --> 00:17:41,000 Speaker 3: don't we collaborate And so W and T really was 320 00:17:41,000 --> 00:17:44,040 Speaker 3: born out of a collaboration of a group of entrepreneurs 321 00:17:44,119 --> 00:17:47,800 Speaker 3: and investors and the likes from mainly from the Bad 322 00:17:47,880 --> 00:17:52,600 Speaker 3: Penny region, also Wellington as well, and ultimately they asked 323 00:17:52,600 --> 00:17:54,399 Speaker 3: me to come and set it up for them, and 324 00:17:55,600 --> 00:17:59,160 Speaker 3: here we are ten years later, with a bit more 325 00:17:59,200 --> 00:18:01,920 Speaker 3: gray here and more experience, but you know, having had 326 00:18:01,920 --> 00:18:03,960 Speaker 3: a lot of fun and actually a lot of a 327 00:18:04,000 --> 00:18:05,680 Speaker 3: success in the last ten years as well. 328 00:18:05,720 --> 00:18:08,280 Speaker 5: So it's been been a really interesting journey you have. 329 00:18:08,359 --> 00:18:10,920 Speaker 1: And we'll look at that success. You've just published sort 330 00:18:10,960 --> 00:18:12,960 Speaker 1: of an update giving us some of the numbers, which 331 00:18:13,040 --> 00:18:15,720 Speaker 1: is really useful, so we'll get into that. I guess 332 00:18:15,800 --> 00:18:18,359 Speaker 1: the deep tech focus really came from those founders that likes, 333 00:18:18,480 --> 00:18:21,359 Speaker 1: you know, Robotics Plus and that had that deep tech 334 00:18:21,480 --> 00:18:24,000 Speaker 1: sort of in their DNA. But I guess around that 335 00:18:24,080 --> 00:18:27,240 Speaker 1: time or the decade leading up to that, our success 336 00:18:27,240 --> 00:18:29,679 Speaker 1: really in New Zealand was characterized by software as a service, 337 00:18:30,080 --> 00:18:33,360 Speaker 1: you know, Zero. We saw vend and other companies Sequence 338 00:18:33,440 --> 00:18:37,240 Speaker 1: and christ Church did really well, and a lot of 339 00:18:37,240 --> 00:18:41,280 Speaker 1: them have had really successful exits. We've all always had 340 00:18:41,359 --> 00:18:44,760 Speaker 1: a sort of an engineering scientific bent in New Zealand, 341 00:18:44,920 --> 00:18:50,119 Speaker 1: but I guess around twenty ten or so we really 342 00:18:50,400 --> 00:18:54,960 Speaker 1: saw dedicated interest from an investment point of view into 343 00:18:55,200 --> 00:18:58,760 Speaker 1: so called deep tech companies. Now WNT has quite a 344 00:18:59,600 --> 00:19:03,919 Speaker 1: broad portfolio. Take us through what your philosophy is and 345 00:19:04,160 --> 00:19:06,480 Speaker 1: was back in twenty fourteen about the sorts of companies 346 00:19:06,520 --> 00:19:08,280 Speaker 1: you wanted to support with funding. 347 00:19:08,560 --> 00:19:11,000 Speaker 5: Yeah. Yeah, and it has been an interesting journey, I think. 348 00:19:11,040 --> 00:19:13,159 Speaker 3: I remember prior to that green Button was about the 349 00:19:13,200 --> 00:19:15,400 Speaker 3: only exit that anyone had for a very long time, 350 00:19:15,440 --> 00:19:17,840 Speaker 3: and so it was it was touted for it for 351 00:19:17,880 --> 00:19:20,000 Speaker 3: a long time. So it's nice to see those returns 352 00:19:20,000 --> 00:19:21,640 Speaker 3: sort of starting to happen a bit more frequently. 353 00:19:22,640 --> 00:19:25,400 Speaker 5: So how we positioned it, obviously, we had. 354 00:19:27,040 --> 00:19:30,240 Speaker 3: A group of networks and people around us that had 355 00:19:30,240 --> 00:19:34,160 Speaker 3: a particular bent towards probably the more engineering side. Wasn't 356 00:19:34,160 --> 00:19:36,679 Speaker 3: just Steve Saunders from Robotics Plus, but it was so 357 00:19:37,200 --> 00:19:41,679 Speaker 3: beby Hoem and Totoerzi and McCrae who were part of 358 00:19:41,800 --> 00:19:45,399 Speaker 3: RAM three D, the titanium three D printing company as well. 359 00:19:45,440 --> 00:19:49,359 Speaker 3: So there was always that leaning towards the engineering side 360 00:19:49,359 --> 00:19:50,800 Speaker 3: of things a bit more so. 361 00:19:50,800 --> 00:19:51,000 Speaker 5: So. 362 00:19:51,520 --> 00:19:53,880 Speaker 3: The genesis of W and T was really to try 363 00:19:53,920 --> 00:19:59,200 Speaker 3: and understand where our strengths lay, and we fairly early 364 00:19:59,240 --> 00:20:03,800 Speaker 3: on ruled out the possibility of investing into pharmaceuticals and 365 00:20:03,920 --> 00:20:07,600 Speaker 3: human biotech mainly just because it wasn't our wasn't our 366 00:20:07,680 --> 00:20:12,600 Speaker 3: space and outside of that. You know, reflecting on the 367 00:20:12,640 --> 00:20:15,160 Speaker 3: industry back then, it was there was pretty small, right 368 00:20:15,200 --> 00:20:17,280 Speaker 3: there wasn't wasn't as much. I mean it's it's only 369 00:20:17,320 --> 00:20:19,560 Speaker 3: ten years ago, and it astonishes me how much it's 370 00:20:19,560 --> 00:20:23,280 Speaker 3: grown in terms of the opportunities. So, you know, we 371 00:20:23,680 --> 00:20:25,800 Speaker 3: looked at what was out there, and there was a 372 00:20:25,920 --> 00:20:29,280 Speaker 3: there was plenty of opportunity. But you and I still 373 00:20:29,280 --> 00:20:32,360 Speaker 3: hold this to some degree. You can't be too too 374 00:20:32,440 --> 00:20:37,399 Speaker 3: specialized in this in this area. So our specialization was 375 00:20:37,560 --> 00:20:41,440 Speaker 3: early stage deep tech. Albeit deep tech wasn't a term 376 00:20:41,520 --> 00:20:46,000 Speaker 3: back then, but early stage science and engineering companies. You know, 377 00:20:46,000 --> 00:20:48,879 Speaker 3: we liked things that you could see and touch and 378 00:20:48,920 --> 00:20:51,920 Speaker 3: feel a little bit more so than the software side 379 00:20:51,920 --> 00:20:53,840 Speaker 3: of things, which was perhaps a little bit harder for us. 380 00:20:53,840 --> 00:20:56,240 Speaker 3: So tended to have a hardware bent to it, for sure, 381 00:20:57,000 --> 00:20:59,320 Speaker 3: hardware in the broader sense where whether it's a plant 382 00:20:59,480 --> 00:21:00,959 Speaker 3: or a handheld product. 383 00:21:01,119 --> 00:21:01,320 Speaker 5: Yeah. 384 00:21:01,440 --> 00:21:04,000 Speaker 1: Yeah, And you've you've done everything, a lot of climate 385 00:21:04,000 --> 00:21:09,320 Speaker 1: tech more recently in Fund three, med tech stuff all 386 00:21:09,359 --> 00:21:13,600 Speaker 1: the way through to artificial intelligence. You had nearad you 387 00:21:13,680 --> 00:21:17,600 Speaker 1: invested in that was in your first round, which was 388 00:21:17,600 --> 00:21:23,359 Speaker 1: sort of high capacity computing. See, you really covered the 389 00:21:23,359 --> 00:21:26,520 Speaker 1: whole gamut really of what you could consider deep tech. 390 00:21:27,119 --> 00:21:30,680 Speaker 1: In twenty fourteen, when Callahan Innovation at the time said 391 00:21:31,040 --> 00:21:34,600 Speaker 1: we're going to make these repayable grants available, I think 392 00:21:34,600 --> 00:21:37,440 Speaker 1: it was about four hundred thousand, yeah, four fifty times. 393 00:21:38,600 --> 00:21:41,480 Speaker 1: That's since been increased to seven hundred and fifty thousand. 394 00:21:41,520 --> 00:21:43,960 Speaker 1: And then of course you as the investor, you put 395 00:21:43,960 --> 00:21:46,280 Speaker 1: in at least two hundred and fifty thousand or something 396 00:21:46,320 --> 00:21:47,439 Speaker 1: like that in the early stages. 397 00:21:47,520 --> 00:21:49,960 Speaker 5: Yeah, one fifty on the early stages. Yeah, these days 398 00:21:49,960 --> 00:21:51,560 Speaker 5: it's two two fifty. 399 00:21:51,760 --> 00:21:55,840 Speaker 1: Yeah. So how attractive was it to you as sort 400 00:21:55,880 --> 00:21:58,959 Speaker 1: of an investment company seeing that there was this cash 401 00:21:59,000 --> 00:22:02,119 Speaker 1: available to those early stage companies from the government in 402 00:22:02,160 --> 00:22:03,679 Speaker 1: the form of a repayable grant. 403 00:22:04,040 --> 00:22:06,119 Speaker 3: Yeah, yeah, Look, I mean it was it was naturally 404 00:22:06,119 --> 00:22:09,919 Speaker 3: attractive to us because there was there was probably a 405 00:22:10,040 --> 00:22:15,280 Speaker 3: lack of private capital coming into the seed stage stage 406 00:22:15,359 --> 00:22:19,240 Speaker 3: space in New Zealand as it was, so the intention 407 00:22:19,440 --> 00:22:23,000 Speaker 3: was to encourage private sector to invest and to do 408 00:22:23,080 --> 00:22:26,760 Speaker 3: that the and to improve the spin out set of 409 00:22:26,800 --> 00:22:29,080 Speaker 3: the public sector as well, to be to be fair, 410 00:22:30,119 --> 00:22:32,720 Speaker 3: and part of that rationale was to to say, look, 411 00:22:32,760 --> 00:22:37,560 Speaker 3: here's some I guess some additional risk capital alongside in 412 00:22:37,680 --> 00:22:42,159 Speaker 3: private capital. So the structure of it meant that, you know, 413 00:22:42,359 --> 00:22:45,719 Speaker 3: it encouraged investors to invest and be a part of 414 00:22:46,000 --> 00:22:49,920 Speaker 3: part of this, you know, this industry and help early 415 00:22:49,920 --> 00:22:53,520 Speaker 3: stage companies get up and running. And it was it 416 00:22:53,560 --> 00:22:56,119 Speaker 3: was not only the capital though, right, I mean, the 417 00:22:56,160 --> 00:22:59,080 Speaker 3: capital was one thing, but it was also and I 418 00:22:59,119 --> 00:23:01,639 Speaker 3: believe that I wasn't involved in the selection process at 419 00:23:01,640 --> 00:23:03,600 Speaker 3: the time, but I believe the big part of it 420 00:23:03,680 --> 00:23:07,040 Speaker 3: was the fact that we had groups of entrepreneurs that 421 00:23:07,080 --> 00:23:09,200 Speaker 3: have been there and done it before, They've built companies, 422 00:23:09,240 --> 00:23:11,520 Speaker 3: they had global networks and that sort of stuff, so 423 00:23:12,600 --> 00:23:16,560 Speaker 3: they were able to help me bring a team around 424 00:23:16,680 --> 00:23:21,040 Speaker 3: us to help these companies scale. And as we know, 425 00:23:21,400 --> 00:23:24,600 Speaker 3: global scaling is probably one of the more challenging aspects 426 00:23:24,640 --> 00:23:28,119 Speaker 3: of building a company from New Zealand. We're not investing 427 00:23:28,160 --> 00:23:31,280 Speaker 3: into companies that are building for the New Zealand market 428 00:23:31,320 --> 00:23:34,480 Speaker 3: because there isn't a New Zealand market in the global sense, right, 429 00:23:34,560 --> 00:23:36,879 Speaker 3: So we need to get off shore really quickly. And 430 00:23:36,920 --> 00:23:40,120 Speaker 3: so being able to partner with people that have done 431 00:23:40,119 --> 00:23:43,480 Speaker 3: that before, and that was a really valuable opportunity. 432 00:23:43,720 --> 00:23:46,040 Speaker 1: Now you're the only company that has been part of 433 00:23:46,080 --> 00:23:49,320 Speaker 1: that government program the entire length of it. There were 434 00:23:49,560 --> 00:23:53,520 Speaker 1: an initial cohort of incubators that were set up. There's 435 00:23:53,560 --> 00:23:55,440 Speaker 1: been a rotation of some of them, some new ones 436 00:23:55,480 --> 00:24:00,000 Speaker 1: have recently been added. But obviously it's worked for you, 437 00:24:00,080 --> 00:24:02,719 Speaker 1: that relationship with with Callahan. But as you say, all 438 00:24:02,720 --> 00:24:05,840 Speaker 1: the people who've come around you as part of it 439 00:24:06,200 --> 00:24:08,080 Speaker 1: on this journey, it seems to have worked really well. 440 00:24:08,240 --> 00:24:11,560 Speaker 3: Yeah, And I think that's a reflection of perhaps our 441 00:24:11,600 --> 00:24:16,080 Speaker 3: approach really because you know, we talked with Callahan about 442 00:24:16,080 --> 00:24:19,199 Speaker 3: that in the early days. Is that in our minds 443 00:24:20,040 --> 00:24:24,400 Speaker 3: we're really passionate about making startups successful and supporting startups 444 00:24:24,400 --> 00:24:26,680 Speaker 3: to be successful. But when you look at it from 445 00:24:26,680 --> 00:24:29,280 Speaker 3: a program perspective, and you know, you could look at 446 00:24:29,280 --> 00:24:33,760 Speaker 3: this the same as ZOGCP or or Callahan Innovation. When 447 00:24:33,760 --> 00:24:36,640 Speaker 3: you've got a program like that, what the actual what 448 00:24:36,640 --> 00:24:38,919 Speaker 3: what what they should be focusing on is making the 449 00:24:38,960 --> 00:24:44,120 Speaker 3: program participants really successful, not necessarily the startups, because that's 450 00:24:44,119 --> 00:24:46,560 Speaker 3: a happy byproduct of making the making the. 451 00:24:48,080 --> 00:24:49,520 Speaker 5: Tech incubators successful. 452 00:24:50,040 --> 00:24:54,159 Speaker 3: And so from our perspective, we made sure that we 453 00:24:54,280 --> 00:24:58,439 Speaker 3: could understand what the drivers to getting more more funds 454 00:24:58,480 --> 00:25:00,840 Speaker 3: up and running so we can keep in bet and 455 00:25:01,320 --> 00:25:03,439 Speaker 3: for us, that means we have to get returns, and 456 00:25:03,440 --> 00:25:04,960 Speaker 3: that's really true of any. 457 00:25:04,840 --> 00:25:05,800 Speaker 5: Venture capital fund. 458 00:25:06,640 --> 00:25:10,080 Speaker 3: If we can't provide investors their money back, they're not 459 00:25:10,119 --> 00:25:13,560 Speaker 3: going to give us more money to invest. So it's 460 00:25:13,600 --> 00:25:15,919 Speaker 3: a slight nuance that I think sometimes gets forgotten. Now, 461 00:25:16,000 --> 00:25:18,520 Speaker 3: we are deeply passionate about building startups, but we also 462 00:25:18,640 --> 00:25:21,960 Speaker 3: we are also deeply passionate about getting our investors' returns. 463 00:25:22,000 --> 00:25:24,040 Speaker 3: And I think we're probably one of the very few 464 00:25:24,600 --> 00:25:27,679 Speaker 3: funds in the country that have returned an entire fund 465 00:25:28,280 --> 00:25:30,440 Speaker 3: of the committed capital to our investors, and so that's 466 00:25:30,520 --> 00:25:31,080 Speaker 3: served us. 467 00:25:31,000 --> 00:25:31,920 Speaker 5: Really well over time. 468 00:25:32,680 --> 00:25:34,680 Speaker 3: You know, we've been going for ten years and we've 469 00:25:34,800 --> 00:25:38,600 Speaker 3: given our investors annual returns every year for the last 470 00:25:38,640 --> 00:25:41,800 Speaker 3: six So that's a pretty good track record in my opinion, 471 00:25:41,840 --> 00:25:46,399 Speaker 3: and that's I think what really helped us continue to 472 00:25:46,400 --> 00:25:50,919 Speaker 3: get re upped by another contract by Callahan Innovation in 473 00:25:51,160 --> 00:25:52,320 Speaker 3: twenty twenty twenty around. 474 00:25:53,160 --> 00:25:56,080 Speaker 1: Yeah, so you had that continuing support from the government, 475 00:25:56,119 --> 00:25:58,520 Speaker 1: that partnership, and we'll post a link to this, but 476 00:25:59,000 --> 00:26:02,280 Speaker 1: you have just published your sort of your track record. 477 00:26:02,760 --> 00:26:07,159 Speaker 1: Fund one has been returning annual annual return of twenty 478 00:26:07,280 --> 00:26:10,240 Speaker 1: percent per year. So all of the initial funding that 479 00:26:10,320 --> 00:26:12,760 Speaker 1: investors put into that has been returned to them, and 480 00:26:12,800 --> 00:26:16,399 Speaker 1: presumably they will profit as those companies were required or 481 00:26:16,440 --> 00:26:19,760 Speaker 1: grow bigger or receive additional capital, which you are, then 482 00:26:19,880 --> 00:26:21,560 Speaker 1: your investors are repaid for. 483 00:26:21,840 --> 00:26:22,920 Speaker 5: Yeah, that's right. Yeah. 484 00:26:23,080 --> 00:26:26,280 Speaker 3: And the nuance around that actually, and I didn't publish 485 00:26:26,280 --> 00:26:29,639 Speaker 3: it in that article I probably should have, but the 486 00:26:29,720 --> 00:26:31,800 Speaker 3: nuance around that is actually a big chunk of that 487 00:26:31,880 --> 00:26:36,879 Speaker 3: funds amount was actually invested to set W and T 488 00:26:37,000 --> 00:26:40,760 Speaker 3: up itself, so there was no formal fee structure and 489 00:26:40,800 --> 00:26:43,359 Speaker 3: so there was actually quite significant costs within that. So 490 00:26:43,359 --> 00:26:45,919 Speaker 3: if you strip that out as well, the returns are 491 00:26:45,920 --> 00:26:50,520 Speaker 3: actually quite significant, significantly hired. I'd say they're up around 492 00:26:50,520 --> 00:26:53,600 Speaker 3: the sort of late twenties if you took that into accounts. 493 00:26:53,640 --> 00:26:58,640 Speaker 3: So and then fun too, we're hitting pretty similar metrics were. 494 00:26:58,359 --> 00:27:01,720 Speaker 1: Sort of twenty five and your return at the moment. 495 00:27:01,720 --> 00:27:03,880 Speaker 3: And that's actually got more to come. I mean, we've 496 00:27:03,880 --> 00:27:06,879 Speaker 3: got some fantastic companies still to still to go on that. 497 00:27:06,920 --> 00:27:10,200 Speaker 3: We've Foundry laborising a significant Series B round at the moment, 498 00:27:10,240 --> 00:27:11,880 Speaker 3: and a couple of others in there which are doing 499 00:27:12,440 --> 00:27:16,480 Speaker 3: really well. So those are still those that's still a 500 00:27:16,480 --> 00:27:17,359 Speaker 3: growing portfolio. 501 00:27:17,640 --> 00:27:20,159 Speaker 1: Yeah, because I think there's a perception around sort of 502 00:27:20,160 --> 00:27:23,640 Speaker 1: deep tech as it has slightly longer horizon to get 503 00:27:23,640 --> 00:27:25,920 Speaker 1: your money back, but it doesn't all necessarily all come 504 00:27:25,960 --> 00:27:28,440 Speaker 1: in one chunk. At the end five or seven years time. 505 00:27:29,240 --> 00:27:33,520 Speaker 1: As more investors come in, they're actually repaying the original 506 00:27:33,520 --> 00:27:36,680 Speaker 1: investors and hopefully giving them more than what they put in. 507 00:27:37,359 --> 00:27:40,240 Speaker 3: Yeah. Yeah, And so the we have a closed fund 508 00:27:40,359 --> 00:27:44,359 Speaker 3: so that when you've got you know, we raise and 509 00:27:44,400 --> 00:27:47,679 Speaker 3: then we don't bring new investors into that specific fund 510 00:27:48,160 --> 00:27:52,040 Speaker 3: each time new investors come into the next fund. But 511 00:27:52,080 --> 00:27:55,320 Speaker 3: the you know, you're right in terms of the deep 512 00:27:55,359 --> 00:27:58,080 Speaker 3: tech sometimes can take quite a long time to get returns, 513 00:27:58,119 --> 00:27:59,960 Speaker 3: you know. I mean, so we were talking at eight 514 00:28:00,119 --> 00:28:02,879 Speaker 3: ten years for some of those some of those companies. 515 00:28:02,880 --> 00:28:06,159 Speaker 3: But we've long held a dual strategy around that of 516 00:28:06,320 --> 00:28:09,159 Speaker 3: we do invest into companies which can give us the 517 00:28:09,200 --> 00:28:12,520 Speaker 3: opportunity of getting some earlier returns, and we do that 518 00:28:12,560 --> 00:28:14,879 Speaker 3: because there's some really good opportunity in New Zealand to 519 00:28:14,920 --> 00:28:18,120 Speaker 3: do so. And we look at this, you know, there's 520 00:28:18,160 --> 00:28:21,320 Speaker 3: this mythical unicorn which is a very challenging thing to. 521 00:28:21,280 --> 00:28:23,520 Speaker 5: Achieve and hence hence the name. 522 00:28:24,720 --> 00:28:27,080 Speaker 3: And we certainly have some of those in our portfolio 523 00:28:27,119 --> 00:28:29,960 Speaker 3: that are unicorns and waiting should we call in progress. 524 00:28:31,160 --> 00:28:34,640 Speaker 3: But also the vast majority of companies are not going 525 00:28:34,640 --> 00:28:36,840 Speaker 3: to hit that out of New Zealand or even in 526 00:28:36,880 --> 00:28:39,960 Speaker 3: the US to be honest, the metrics show and so 527 00:28:40,000 --> 00:28:44,080 Speaker 3: there's the capital efficiency of New Zealand companies combined with 528 00:28:44,240 --> 00:28:49,920 Speaker 3: the ability to build these companies and have garner interest 529 00:28:50,000 --> 00:28:53,560 Speaker 3: from global corporates who are better place to grow them internationally, 530 00:28:54,440 --> 00:28:56,760 Speaker 3: means that we can actually get some earlier returns within 531 00:28:57,440 --> 00:29:00,800 Speaker 3: I mean fund one we return first first to investment 532 00:29:00,840 --> 00:29:03,960 Speaker 3: back in three and a half years, which is particularly early. 533 00:29:04,800 --> 00:29:07,440 Speaker 3: Fun two was about four and a half years for 534 00:29:07,600 --> 00:29:10,520 Speaker 3: the first money back, and that was basically because we 535 00:29:10,600 --> 00:29:13,200 Speaker 3: could invest into these companies and then build them to 536 00:29:13,240 --> 00:29:17,200 Speaker 3: a point where actually a global corporate was really interested 537 00:29:17,240 --> 00:29:19,280 Speaker 3: to pick it up and run it from there. Now 538 00:29:19,640 --> 00:29:22,280 Speaker 3: there's an element of are we giving a company's New 539 00:29:22,400 --> 00:29:23,800 Speaker 3: Zealand companies away too early? 540 00:29:23,880 --> 00:29:26,239 Speaker 5: Well, you know, maybe maybe not. 541 00:29:26,440 --> 00:29:29,080 Speaker 3: But actually what happens with that money is that comes 542 00:29:29,360 --> 00:29:32,160 Speaker 3: all of that money that we've got from doing that 543 00:29:32,240 --> 00:29:34,880 Speaker 3: has come straight back into either our funds or our 544 00:29:34,920 --> 00:29:39,640 Speaker 3: companies directly, so it's all been reinvested, and you know 545 00:29:39,680 --> 00:29:42,280 Speaker 3: that's got to be good for the New Zealand economy 546 00:29:42,320 --> 00:29:45,160 Speaker 3: to be able to keep reinvesting money from those returns. 547 00:29:45,400 --> 00:29:48,640 Speaker 1: Looking at some of the stats Callahana's put out at 548 00:29:48,640 --> 00:29:53,040 Speaker 1: this ten year MIC, so they've supported around eighty deep 549 00:29:53,040 --> 00:29:55,880 Speaker 1: text startups, which is about half of what they would 550 00:29:55,920 --> 00:29:57,920 Speaker 1: count as the one hundred and sixty odd deep tech 551 00:29:57,960 --> 00:30:01,120 Speaker 1: startups that have emerged in New Zealand in the last decade. 552 00:30:02,200 --> 00:30:06,320 Speaker 1: Around eighty million in sort of private funding has gone 553 00:30:06,320 --> 00:30:08,920 Speaker 1: into those startups. They've got a figure of three hundred 554 00:30:09,000 --> 00:30:12,200 Speaker 1: million of follow up funding that has been attracted. I 555 00:30:12,200 --> 00:30:14,120 Speaker 1: think you have a figure for two hundred million for 556 00:30:14,160 --> 00:30:15,720 Speaker 1: your companies alone. 557 00:30:16,080 --> 00:30:19,360 Speaker 3: That might be a bit undercooked from Calahund's perspective, because 558 00:30:19,360 --> 00:30:23,280 Speaker 3: I don't think it's all us, but yeah. 559 00:30:22,280 --> 00:30:24,800 Speaker 1: So that's two hundred million and follow follow up funding 560 00:30:24,800 --> 00:30:28,640 Speaker 1: that your company's over those three funds have raised, which 561 00:30:28,680 --> 00:30:31,320 Speaker 1: is pretty impressive. And what I found sort of I 562 00:30:31,320 --> 00:30:34,280 Speaker 1: was surprised that was nearly half of those companies that 563 00:30:34,280 --> 00:30:38,920 Speaker 1: have gone through the Deep Tech Incubator program I spinouts 564 00:30:38,920 --> 00:30:44,800 Speaker 1: from public institutions, So presumably cris Universities. I guess as well, 565 00:30:44,840 --> 00:30:47,800 Speaker 1: there is a bit of a perception in New Zealand 566 00:30:47,800 --> 00:30:51,320 Speaker 1: that we haven't got that pipeline right, that we our 567 00:30:51,440 --> 00:30:57,120 Speaker 1: science commercialization is under delivering. But clearly there's there's a 568 00:30:57,160 --> 00:31:00,360 Speaker 1: lot of great companies that are bubbling up out of 569 00:31:00,360 --> 00:31:01,680 Speaker 1: the university and the crisis. 570 00:31:01,800 --> 00:31:04,360 Speaker 5: Yeah, you're absolutely right. I mean, I think it's the 571 00:31:04,360 --> 00:31:05,800 Speaker 5: best that I've ever seen it. 572 00:31:05,960 --> 00:31:09,640 Speaker 3: I mean, you know, back to twenty fourteen, there wasn't 573 00:31:09,680 --> 00:31:11,560 Speaker 3: a heck of a lot happening at the time. I 574 00:31:11,560 --> 00:31:14,560 Speaker 3: mean there was, don't get me wrong, but not as 575 00:31:14,640 --> 00:31:17,280 Speaker 3: much as we're seeing now. And I think we've seen 576 00:31:17,320 --> 00:31:21,240 Speaker 3: a huge advancement in the maturity of the industry in 577 00:31:21,280 --> 00:31:25,239 Speaker 3: all its forms since then. You know, the likes of 578 00:31:25,720 --> 00:31:28,280 Speaker 3: you Will Charles and his team at Union Services have 579 00:31:28,360 --> 00:31:32,080 Speaker 3: done a fantastic job to take technology out of what 580 00:31:32,240 --> 00:31:35,200 Speaker 3: is basically the largest portfolio by PEO portfolio in the 581 00:31:35,200 --> 00:31:40,040 Speaker 3: country and get a lot of professionalism into the industry 582 00:31:40,080 --> 00:31:43,160 Speaker 3: and start spinning it out. And you're seeing others emulate 583 00:31:43,200 --> 00:31:46,800 Speaker 3: that to a certain degree. I think, you know, we've 584 00:31:46,800 --> 00:31:48,720 Speaker 3: probably still got a bit of a scale issue there, 585 00:31:49,560 --> 00:31:52,320 Speaker 3: which is not unusual for New Zealand, but you know, 586 00:31:52,360 --> 00:31:55,680 Speaker 3: there's some great stuff happening, and I think the challenge 587 00:31:55,680 --> 00:31:57,960 Speaker 3: for us going forward is really just how do we 588 00:31:58,000 --> 00:32:02,680 Speaker 3: increase that pipeline of great sciences right, and that's got 589 00:32:02,720 --> 00:32:08,000 Speaker 3: to come from things like rewarding commercialization based on scientific research. 590 00:32:08,040 --> 00:32:11,600 Speaker 3: We want to see our scientists do really well. Simple 591 00:32:11,680 --> 00:32:17,440 Speaker 3: investment into more investment in science is going to result 592 00:32:17,440 --> 00:32:21,640 Speaker 3: in the commercialization of more opportunities. It's a fairly simple fact. 593 00:32:22,800 --> 00:32:25,240 Speaker 3: And what I mean, I'd like to also see sort 594 00:32:25,240 --> 00:32:28,320 Speaker 3: of more corporate engagement in the sector as well, some 595 00:32:28,360 --> 00:32:32,440 Speaker 3: of our New Zealand companies helping to support these startups 596 00:32:32,440 --> 00:32:35,520 Speaker 3: and these scientific projects and taking a bit more risk 597 00:32:35,560 --> 00:32:38,160 Speaker 3: capital on board as well. I think that our corporate 598 00:32:38,200 --> 00:32:40,880 Speaker 3: set probably doesn't do all that well, with the exception 599 00:32:40,920 --> 00:32:43,800 Speaker 3: of a few likes of Gallagher and a couple of 600 00:32:43,840 --> 00:32:44,720 Speaker 3: others of that nature. 601 00:32:44,760 --> 00:32:48,480 Speaker 1: But I guess one of the perceptions of the early 602 00:32:48,480 --> 00:32:52,840 Speaker 1: stage company funding environment is it's for too long, it's 603 00:32:52,840 --> 00:32:55,720 Speaker 1: been too capital constrained. But you know, when I look 604 00:32:55,760 --> 00:33:01,360 Speaker 1: around at yourselves and outset ventures and house and it 605 00:33:01,480 --> 00:33:03,160 Speaker 1: seems there seems to be a lot of money that 606 00:33:03,200 --> 00:33:06,560 Speaker 1: you know, they're all closing funds and raising a lot 607 00:33:06,560 --> 00:33:09,760 Speaker 1: of money to invest in early stage companies. Is that 608 00:33:09,800 --> 00:33:12,440 Speaker 1: sort of a myth now or is it still? I mean, 609 00:33:12,480 --> 00:33:14,960 Speaker 1: you're raising your fund for at the moment, how are 610 00:33:15,000 --> 00:33:18,800 Speaker 1: you finding actually is there the appetite there? And I 611 00:33:18,800 --> 00:33:20,600 Speaker 1: guess part of that is down to your track record. 612 00:33:20,600 --> 00:33:24,320 Speaker 1: You've done three successful funds, You're going to attract more 613 00:33:24,360 --> 00:33:25,960 Speaker 1: money even in a constrained environment. 614 00:33:26,040 --> 00:33:26,560 Speaker 5: Absolutely. 615 00:33:26,600 --> 00:33:28,840 Speaker 3: I mean it does get a bit different when you're 616 00:33:28,880 --> 00:33:31,880 Speaker 3: at fun For because you can point to actual successful 617 00:33:31,920 --> 00:33:35,160 Speaker 3: track record and say that we've got these returns. So look, 618 00:33:35,200 --> 00:33:37,080 Speaker 3: I won't say it's easy. It's it's always a hard 619 00:33:37,080 --> 00:33:40,880 Speaker 3: thing to raise a fund, but you know, we're we're 620 00:33:40,880 --> 00:33:45,920 Speaker 3: attracting capital, and you know, we're about where we're transitioning from. 621 00:33:46,000 --> 00:33:48,160 Speaker 3: We're about to do our last investment in fun three 622 00:33:48,200 --> 00:33:51,400 Speaker 3: and then we'll transition to investing in fun for in 623 00:33:51,440 --> 00:33:56,400 Speaker 3: the very near future. So yeah, as to capital in 624 00:33:56,440 --> 00:33:59,400 Speaker 3: the industry, I mean, you know, obviously there's more more 625 00:33:59,440 --> 00:34:03,080 Speaker 3: capital than there ever has been before, and and that's really. 626 00:34:02,800 --> 00:34:03,640 Speaker 5: Great to see. 627 00:34:04,640 --> 00:34:08,080 Speaker 3: There's pools of capital in different parts as well, and 628 00:34:08,120 --> 00:34:11,000 Speaker 3: I think that's what we need to see growing I'm 629 00:34:11,040 --> 00:34:15,360 Speaker 3: always a supporter of creating deeper capital pools in a 630 00:34:15,440 --> 00:34:20,280 Speaker 3: market because it gives better opportunity for startups to grow 631 00:34:21,680 --> 00:34:26,680 Speaker 3: in a variety of ways. Different partners suit different companies 632 00:34:26,760 --> 00:34:28,200 Speaker 3: and different founders and that. 633 00:34:28,160 --> 00:34:28,760 Speaker 5: Sort of stuff. 634 00:34:28,800 --> 00:34:32,280 Speaker 3: So I'm really encouraged about what's happening in New Zealand. 635 00:34:32,320 --> 00:34:36,040 Speaker 3: I think I'd like to see more continued support from 636 00:34:36,040 --> 00:34:38,759 Speaker 3: the government. The government coffers are not particularly deep at 637 00:34:38,800 --> 00:34:43,040 Speaker 3: the moment, unfortunately, but I still think New Zealand growth 638 00:34:43,040 --> 00:34:47,000 Speaker 3: capital partners needs to be reinvested into. We can't solely 639 00:34:47,080 --> 00:34:52,480 Speaker 3: rely on international capital coming into New Zealand to fund startups. 640 00:34:53,640 --> 00:34:53,839 Speaker 5: Well. 641 00:34:53,880 --> 00:34:55,640 Speaker 3: I think we saw that back in the early days 642 00:34:55,680 --> 00:35:00,920 Speaker 3: of n ZVIV where Peter Tail's Valavn came in and 643 00:35:01,520 --> 00:35:04,040 Speaker 3: you know, quite frankly Cherry picked two or three companies 644 00:35:04,040 --> 00:35:07,480 Speaker 3: and then disappeared and really didn't come back again until 645 00:35:07,520 --> 00:35:10,200 Speaker 3: it's sort of later iteration of Founders Fund, which is 646 00:35:10,239 --> 00:35:14,640 Speaker 3: brilliant and invested into a number of companies. But I 647 00:35:14,680 --> 00:35:18,400 Speaker 3: think we need to have a very strong venture capital 648 00:35:18,400 --> 00:35:20,640 Speaker 3: industry in New Zealand, and that means we have to 649 00:35:20,680 --> 00:35:24,400 Speaker 3: have a variety of players with deeper pools of capital 650 00:35:24,520 --> 00:35:29,680 Speaker 3: for that a right size for the market. So, and 651 00:35:29,719 --> 00:35:34,640 Speaker 3: I say right size quite deliberately because I think, you know, 652 00:35:34,680 --> 00:35:36,799 Speaker 3: with the early stage nature of what we do at 653 00:35:36,840 --> 00:35:40,400 Speaker 3: that seed stage investing space, it doesn't make sense they 654 00:35:40,400 --> 00:35:42,440 Speaker 3: have a half a billion dollar fund right because it's 655 00:35:42,520 --> 00:35:45,319 Speaker 3: just simply not that many opportunities or they, you know, 656 00:35:45,400 --> 00:35:48,440 Speaker 3: that much capital that we could deploy. So I think 657 00:35:48,440 --> 00:35:50,400 Speaker 3: it has to be right sized. You have to be 658 00:35:50,440 --> 00:35:53,600 Speaker 3: able to deploy the capital and still get adequate returns 659 00:35:53,600 --> 00:35:56,960 Speaker 3: for investors or stellar returns for investors if we can. 660 00:35:57,960 --> 00:36:01,399 Speaker 3: So getting that balance right is But we're not over 661 00:36:01,440 --> 00:36:02,760 Speaker 3: capitalized by any stretch. 662 00:36:02,880 --> 00:36:05,960 Speaker 1: Nothing from the government about topping up unfortunately, you know, 663 00:36:06,040 --> 00:36:09,960 Speaker 1: the government investment and the elevate funder. I guess that's 664 00:36:09,960 --> 00:36:11,440 Speaker 1: a sign of the times. But the other thing that 665 00:36:11,480 --> 00:36:14,560 Speaker 1: you will be particularly interested in is this reorganization off 666 00:36:14,600 --> 00:36:18,000 Speaker 1: the research sector that Sir Peter Gluckman is looking at. 667 00:36:18,120 --> 00:36:20,239 Speaker 1: By the end of this month, potentially early next month, 668 00:36:20,280 --> 00:36:24,920 Speaker 1: we should get some publication out showing what they're thinking 669 00:36:25,000 --> 00:36:27,879 Speaker 1: is on that. I know you were consulted as part 670 00:36:27,880 --> 00:36:30,320 Speaker 1: of this process. What was your advice to this Science 671 00:36:30,320 --> 00:36:34,080 Speaker 1: System Advisory Group from the perspective of investing in these 672 00:36:34,080 --> 00:36:36,040 Speaker 1: companies and having more of a pipeline off them. 673 00:36:36,320 --> 00:36:39,560 Speaker 3: Retention of talent has always been an issue for New Zealand, 674 00:36:40,160 --> 00:36:43,919 Speaker 3: as has scaling global opportunities. But retention of talent goes 675 00:36:44,719 --> 00:36:47,120 Speaker 3: you know, comes in many forms. It comes in the 676 00:36:47,160 --> 00:36:50,400 Speaker 3: form of people that are working in startups, but also 677 00:36:50,440 --> 00:36:52,800 Speaker 3: the people that are working in our science sectors as well. 678 00:36:53,320 --> 00:36:58,600 Speaker 3: It's absolutely critical that we can retain fantastic scientists and 679 00:36:58,920 --> 00:37:01,439 Speaker 3: not have them head off shore because there's no opportunities here. 680 00:37:02,320 --> 00:37:04,719 Speaker 3: Once we start losing them off shore, you know, that's 681 00:37:04,719 --> 00:37:08,000 Speaker 3: a bit of a snowball effect. And you know, there's 682 00:37:08,040 --> 00:37:11,319 Speaker 3: some fantastic scientists and you know, we don't want all 683 00:37:11,360 --> 00:37:13,480 Speaker 3: of them spinning out into the companies because we want 684 00:37:13,480 --> 00:37:16,520 Speaker 3: some of them staying in the academia and being attractive 685 00:37:16,520 --> 00:37:20,960 Speaker 3: beacon for other you know, post grads and masters and 686 00:37:21,040 --> 00:37:27,280 Speaker 3: postdocs and the like to stay around them and create brilliant, 687 00:37:27,400 --> 00:37:36,200 Speaker 3: commercializable scientific opportunities. Also, you know, upscaling those academics to 688 00:37:36,200 --> 00:37:41,359 Speaker 3: to understand the commercial aspects. One of the challenges we've 689 00:37:41,400 --> 00:37:44,840 Speaker 3: always had from from day one is around getting that 690 00:37:44,920 --> 00:37:48,200 Speaker 3: balance right within a startup of the focus on the 691 00:37:48,280 --> 00:37:51,080 Speaker 3: technical and the focus on the commercial aspects of a 692 00:37:51,120 --> 00:37:54,280 Speaker 3: business as well. And if you come from a purely 693 00:37:54,360 --> 00:37:57,560 Speaker 3: academic background, there's a bit of a challenge to do that. 694 00:37:57,760 --> 00:37:59,719 Speaker 3: So the only way you can kind of do that 695 00:37:59,840 --> 00:38:04,520 Speaker 3: is is through education and experience. So that's what we're 696 00:38:04,640 --> 00:38:06,799 Speaker 3: big part of what we've been focused on to how 697 00:38:06,800 --> 00:38:09,120 Speaker 3: do we sort of help academics of that transition. So 698 00:38:09,800 --> 00:38:11,600 Speaker 3: the more of that can happen the industry, I think, 699 00:38:11,640 --> 00:38:13,200 Speaker 3: the better that will be overall. 700 00:38:13,320 --> 00:38:16,480 Speaker 1: What are some of the successes you've been most proud of, 701 00:38:16,560 --> 00:38:18,719 Speaker 1: the ones that really sort of define, you think, the 702 00:38:18,800 --> 00:38:21,600 Speaker 1: sort of the story that WNT is able to tell 703 00:38:21,640 --> 00:38:24,000 Speaker 1: and the value it's able to deliver to these startups. 704 00:38:24,080 --> 00:38:26,080 Speaker 3: I mean a sort of probably sounding like a bit 705 00:38:26,080 --> 00:38:29,359 Speaker 3: of a broken record with Foundry Lab, which you know 706 00:38:29,719 --> 00:38:33,000 Speaker 3: we invested in twenty eighteen, and so this is a 707 00:38:33,040 --> 00:38:39,920 Speaker 3: company that wanted as a die die cast metal company. 708 00:38:40,000 --> 00:38:43,040 Speaker 3: So essentially it melts metal and microwaves for production quality 709 00:38:43,080 --> 00:38:47,480 Speaker 3: parts for things like automotive industry, but for many many things. 710 00:38:48,560 --> 00:38:51,200 Speaker 3: And it was a really interesting one that one because 711 00:38:51,200 --> 00:38:53,560 Speaker 3: we found I think we were talking to David and 712 00:38:53,960 --> 00:38:55,680 Speaker 3: I don't know if he's actually said this publicly, but 713 00:38:56,080 --> 00:38:57,880 Speaker 3: I think he was talking to us about a portable 714 00:38:57,880 --> 00:38:59,360 Speaker 3: fry pain that he was working on or. 715 00:38:59,320 --> 00:38:59,839 Speaker 5: Something like that. 716 00:38:59,880 --> 00:39:03,080 Speaker 3: But when we looked at this other stuff that he 717 00:39:03,160 --> 00:39:05,400 Speaker 3: was working on, it it was pretty unique and we 718 00:39:05,400 --> 00:39:08,320 Speaker 3: could see such a big opportunity in it. So that 719 00:39:09,120 --> 00:39:12,399 Speaker 3: in itself has been an amazing journey because we as 720 00:39:12,600 --> 00:39:14,719 Speaker 3: W and T have been very hands on with that, 721 00:39:14,920 --> 00:39:18,800 Speaker 3: particularly in those early years, and David and I still 722 00:39:18,840 --> 00:39:22,719 Speaker 3: talk pretty regularly. But that's been a fantastic opportunity for 723 00:39:22,840 --> 00:39:26,400 Speaker 3: us because it really highlighted the skill sets and the 724 00:39:26,400 --> 00:39:27,759 Speaker 3: networks that we have around us. 725 00:39:27,880 --> 00:39:30,640 Speaker 1: You know that one's incredible because you know it was. 726 00:39:30,680 --> 00:39:32,880 Speaker 1: I think it was one of your former colleagues at 727 00:39:33,000 --> 00:39:35,480 Speaker 1: WNT who was just having to be down in Willington 728 00:39:35,560 --> 00:39:37,640 Speaker 1: caught up with David and he had the sort of 729 00:39:37,640 --> 00:39:40,919 Speaker 1: backyard project he was working on, and she came away 730 00:39:40,920 --> 00:39:44,000 Speaker 1: from that thinking, hang on, there's a whole other product 731 00:39:44,040 --> 00:39:46,919 Speaker 1: set here that you could be developing. And that really 732 00:39:46,960 --> 00:39:50,359 Speaker 1: was the inciting incident to create Foundry Lab and build 733 00:39:50,400 --> 00:39:51,399 Speaker 1: it into the success it. 734 00:39:51,400 --> 00:39:54,280 Speaker 3: Is absolutely and look, it keeps getting bigger and bigger. 735 00:39:54,680 --> 00:39:57,759 Speaker 3: Almost every time I talked to David, there's another opportunity 736 00:39:57,760 --> 00:40:00,600 Speaker 3: that's coming out of it. That is, you know, capital 737 00:40:00,640 --> 00:40:03,279 Speaker 3: to do and to build, and so you know they're 738 00:40:03,320 --> 00:40:05,440 Speaker 3: out raising their Series B around it a moment, which 739 00:40:05,480 --> 00:40:07,759 Speaker 3: is quite a significant number, and I think there's there's 740 00:40:07,800 --> 00:40:10,880 Speaker 3: a much bigger opportunity yet to be unpacked in that one. 741 00:40:11,000 --> 00:40:13,759 Speaker 1: I mean, it is high risk by no means do 742 00:40:13,920 --> 00:40:18,000 Speaker 1: all of these companies have a successful sort of exit 743 00:40:18,560 --> 00:40:22,840 Speaker 1: or go on to be acquired. I think Klhound's stat 744 00:40:22,880 --> 00:40:26,080 Speaker 1: is seventy two percent if those companies they've had through 745 00:40:26,120 --> 00:40:30,840 Speaker 1: the incubator program are still around, which I was surprised 746 00:40:30,840 --> 00:40:33,359 Speaker 1: that because this is a sort of a high risk 747 00:40:33,440 --> 00:40:37,160 Speaker 1: area of investment technically very challenging. Does that gel with 748 00:40:37,480 --> 00:40:39,040 Speaker 1: your sort of success rate so far? 749 00:40:39,239 --> 00:40:41,600 Speaker 3: Yeah, look, I think so. I don't know the stats. 750 00:40:41,760 --> 00:40:43,480 Speaker 3: I know our stats. I don't know where the other 751 00:40:44,000 --> 00:40:46,120 Speaker 3: where the other ones are. To be honest, I think 752 00:40:46,120 --> 00:40:50,600 Speaker 3: it's it takes a lot longer sometimes to admit defeat 753 00:40:50,920 --> 00:40:53,880 Speaker 3: in a company as well, and rightly so, it's a 754 00:40:53,920 --> 00:40:57,120 Speaker 3: really hard thing to get right when you don't want 755 00:40:57,160 --> 00:40:59,239 Speaker 3: to pull the pin to early because you think, look 756 00:40:59,320 --> 00:41:02,160 Speaker 3: there's some growthpportunity. Are we walking away too early here. 757 00:41:02,200 --> 00:41:06,759 Speaker 3: But you've also got to read the signals and as 758 00:41:06,800 --> 00:41:10,320 Speaker 3: an investor and you're dealing with people, you're dealing with humans. 759 00:41:10,360 --> 00:41:13,239 Speaker 3: On the other side, it's not just about capital and 760 00:41:13,280 --> 00:41:16,440 Speaker 3: money here. There's humans evolved and that's a really hard 761 00:41:16,480 --> 00:41:18,239 Speaker 3: thing to sit down with someone and say, you know what, 762 00:41:18,320 --> 00:41:21,320 Speaker 3: this isn't working for all of these reasons. So whether 763 00:41:21,400 --> 00:41:25,640 Speaker 3: that's sometimes the cause of that statistic being higher than 764 00:41:25,760 --> 00:41:29,319 Speaker 3: everyone expected, I don't know. I haven't delved into the 765 00:41:29,360 --> 00:41:32,040 Speaker 3: stats about who's still around. You get a lot of 766 00:41:32,120 --> 00:41:35,360 Speaker 3: hype around companies that have raised a bigground, which is 767 00:41:35,400 --> 00:41:38,319 Speaker 3: great and so they should celebrate that. You get a 768 00:41:38,320 --> 00:41:41,800 Speaker 3: lot of hype around particular investors coming into around saying 769 00:41:41,800 --> 00:41:44,239 Speaker 3: that okay, you've got that investor, you must be successful. 770 00:41:44,640 --> 00:41:48,279 Speaker 3: And then you get some hype around revenue traction and 771 00:41:49,320 --> 00:41:51,960 Speaker 3: hype around acquisition or IPO or something like that as well. 772 00:41:52,000 --> 00:41:53,760 Speaker 3: Now only one and a half of those are actual 773 00:41:53,800 --> 00:41:55,959 Speaker 3: hype that should be listened to, and that's the revenue traction. 774 00:41:56,040 --> 00:41:59,000 Speaker 3: Depending on the type of revenue attraction and how repeatable 775 00:41:59,080 --> 00:42:02,400 Speaker 3: is it an outcome either either listing or an IPO. 776 00:42:03,360 --> 00:42:05,879 Speaker 3: The others are I think you still have to take 777 00:42:05,920 --> 00:42:08,520 Speaker 3: them for what they are. They are investment, and actually 778 00:42:08,600 --> 00:42:11,200 Speaker 3: once you get investment, that's when the real hard work starts. 779 00:42:11,640 --> 00:42:12,640 Speaker 5: That's not when it ends. 780 00:42:12,640 --> 00:42:15,239 Speaker 3: So I think we kind of confuse capital raising with 781 00:42:15,360 --> 00:42:16,480 Speaker 3: success sometimes. 782 00:42:16,520 --> 00:42:20,040 Speaker 1: PwC and its last report about the startup ecosystem, said 783 00:42:20,080 --> 00:42:24,920 Speaker 1: that deep tech was the biggest area attracting funding in 784 00:42:25,000 --> 00:42:28,520 Speaker 1: New Zealand at the moment, So there is huge appetite here. 785 00:42:28,600 --> 00:42:33,439 Speaker 1: What's your sort of outlook for the next decade off WNT, 786 00:42:34,000 --> 00:42:35,920 Speaker 1: Where do you want to go and how do you 787 00:42:35,920 --> 00:42:39,040 Speaker 1: see the sector developing. A lot of your recent investments 788 00:42:39,040 --> 00:42:41,640 Speaker 1: in FUN three are very much in the climate tech space. 789 00:42:42,440 --> 00:42:45,279 Speaker 1: Interesting in your thoughts on can that become a real 790 00:42:45,360 --> 00:42:47,560 Speaker 1: category that we become known for internationally? 791 00:42:47,640 --> 00:42:50,200 Speaker 3: Yeah, I think it can. I think it can. You know, 792 00:42:50,239 --> 00:42:53,640 Speaker 3: I think there's a lot of opportunity there. I think 793 00:42:54,120 --> 00:42:57,399 Speaker 3: it's The opportunity in New Zealand for deep tech is. 794 00:42:57,360 --> 00:42:59,040 Speaker 5: Really you know, it's a bit. 795 00:42:59,120 --> 00:43:02,800 Speaker 3: It's captured a global trend, right There's been a massive 796 00:43:02,800 --> 00:43:08,680 Speaker 3: global trend towards climate investing, sustainability and impact investing, and 797 00:43:09,040 --> 00:43:11,680 Speaker 3: really for the most part, deep tech is synonymous with 798 00:43:11,760 --> 00:43:14,480 Speaker 3: those things. It's probably just a simple way of saying it. 799 00:43:15,600 --> 00:43:18,960 Speaker 3: You know, we've got investors of ours that have come 800 00:43:19,000 --> 00:43:22,359 Speaker 3: in because we hit all the impact requirements that they 801 00:43:22,480 --> 00:43:27,840 Speaker 3: need from a sustainability standpoint without necessarily being an impact fund, 802 00:43:28,680 --> 00:43:32,200 Speaker 3: dedicated impact fund. So we've got investors coming in committing 803 00:43:32,239 --> 00:43:36,600 Speaker 3: to that strategy. So look, I think the outlook is great. 804 00:43:36,680 --> 00:43:38,799 Speaker 3: I think there's a there's a lot of commitment from 805 00:43:39,000 --> 00:43:43,480 Speaker 3: New Zealand government into deep tech, there's a lot of 806 00:43:43,480 --> 00:43:47,160 Speaker 3: commitment from New Zealand investors. There's plenty of opportunities coming 807 00:43:47,200 --> 00:43:50,640 Speaker 3: out in the market which which had all those those spaces. 808 00:43:50,880 --> 00:43:54,960 Speaker 3: I'll add into their med tech as well. You know, 809 00:43:55,760 --> 00:43:58,600 Speaker 3: I think there's there's a big opportunity in that too, 810 00:43:58,640 --> 00:44:02,400 Speaker 3: and that's you know, synonymous with impact and things like 811 00:44:02,480 --> 00:44:05,680 Speaker 3: that as well. So look, I'm really optimistic about the 812 00:44:05,840 --> 00:44:08,200 Speaker 3: opportunity set for New Zealand in the space over the 813 00:44:08,200 --> 00:44:10,200 Speaker 3: next ten years. I just I think it's going from 814 00:44:10,239 --> 00:44:14,160 Speaker 3: strength to strength. And you know, as usual, New Zealand's 815 00:44:14,160 --> 00:44:17,279 Speaker 3: punching above its weight. And I'm really proud of the 816 00:44:17,320 --> 00:44:19,680 Speaker 3: founders that are out there doing their thing and what 817 00:44:19,719 --> 00:44:23,520 Speaker 3: they're building. And you know, long long may the last 818 00:44:24,000 --> 00:44:25,560 Speaker 3: and wish around all success on that. 819 00:44:25,680 --> 00:44:29,840 Speaker 1: Well, congratulations on ten years of WNT ventures and you 820 00:44:29,840 --> 00:44:32,919 Speaker 1: know dozens of companies that you've supported. Good luck for 821 00:44:33,440 --> 00:44:37,040 Speaker 1: raising fun for and thanks so much for coming on 822 00:44:37,080 --> 00:44:37,839 Speaker 1: the business of tech. 823 00:44:37,920 --> 00:44:40,120 Speaker 5: Thank you, Peter. I really appreciate you having one. 824 00:44:46,840 --> 00:44:50,279 Speaker 2: So there's a guy who knows the industry really, really well, 825 00:44:50,280 --> 00:44:53,479 Speaker 2: as a huge amount of experience and a long time 826 00:44:53,480 --> 00:44:56,360 Speaker 2: that he's spent in the world of deep tech venture 827 00:44:57,160 --> 00:45:00,200 Speaker 2: and listening to him talk, they were kind of a 828 00:45:00,200 --> 00:45:04,160 Speaker 2: few things that stood out to me that was surprising, 829 00:45:04,320 --> 00:45:08,680 Speaker 2: and one of them was just the amount of returns 830 00:45:08,680 --> 00:45:11,040 Speaker 2: that he's managed to make in a short amount of time, 831 00:45:11,360 --> 00:45:13,279 Speaker 2: because you really do think about deep tach as this 832 00:45:13,520 --> 00:45:17,080 Speaker 2: long term investment, ten year returns. And he said Fund 833 00:45:17,120 --> 00:45:18,960 Speaker 2: one delivered in three and a half and Fund two 834 00:45:18,960 --> 00:45:21,480 Speaker 2: and four and a half years. That sounded like it 835 00:45:21,520 --> 00:45:25,080 Speaker 2: was an intentional strategy at WNT to split over some 836 00:45:25,160 --> 00:45:27,239 Speaker 2: of the stuff that was the more immediate return with 837 00:45:27,360 --> 00:45:29,600 Speaker 2: the longer return to make sure that the fund could 838 00:45:29,719 --> 00:45:31,720 Speaker 2: keep rolling along, which I thought was quite clever. 839 00:45:32,280 --> 00:45:35,000 Speaker 1: Yeah, I guess the question is so that they returned 840 00:45:35,600 --> 00:45:38,040 Speaker 1: to investors the money that they'd put in, Yes, but 841 00:45:38,120 --> 00:45:41,759 Speaker 1: what was the expectation on the part of investors about 842 00:45:41,760 --> 00:45:43,799 Speaker 1: how much they wanted to get back, because this is 843 00:45:43,800 --> 00:45:45,520 Speaker 1: the sort of investment where you put in a dollar 844 00:45:45,600 --> 00:45:48,640 Speaker 1: you want to get ten ten back. So I wonder 845 00:45:48,719 --> 00:45:55,160 Speaker 1: how that equation has settled. But you got to take 846 00:45:55,200 --> 00:45:57,279 Speaker 1: your hat off to them. I mean to have to 847 00:45:57,360 --> 00:46:01,120 Speaker 1: be returning that much capital year on year at least 848 00:46:01,120 --> 00:46:04,680 Speaker 1: twenty percent, rising to twenty five percent or more. This 849 00:46:04,880 --> 00:46:09,319 Speaker 1: is something that has huge momentum now, and you know, 850 00:46:09,360 --> 00:46:12,840 Speaker 1: we are seeing that. I don't know if WNT is 851 00:46:12,880 --> 00:46:16,120 Speaker 1: the biggest buy investment capital, if it's the most successful. 852 00:46:16,239 --> 00:46:19,840 Speaker 1: Tried to tell they all tell their stories in different ways. 853 00:46:19,880 --> 00:46:23,640 Speaker 1: But look, we've got Outset Ventures have that incredible facility, 854 00:46:23,680 --> 00:46:26,520 Speaker 1: and you know in paran l have a great roster 855 00:46:26,600 --> 00:46:29,919 Speaker 1: of companies there. You've got traditional players like Movac, You've 856 00:46:29,920 --> 00:46:32,040 Speaker 1: got ice House Ventures who do a fair bit of 857 00:46:32,080 --> 00:46:33,920 Speaker 1: deep tech as well. It sort of feels like we 858 00:46:33,960 --> 00:46:37,200 Speaker 1: do have this critical mass now. And I was really 859 00:46:37,280 --> 00:46:40,680 Speaker 1: interested in the you know, asking them about the state 860 00:46:40,719 --> 00:46:44,520 Speaker 1: of things when it comes to capital. You know, the 861 00:46:44,600 --> 00:46:46,839 Speaker 1: sense I get we see all these releases coming through 862 00:46:46,840 --> 00:46:50,359 Speaker 1: that you and I get announcing, you know, a new 863 00:46:50,440 --> 00:46:53,800 Speaker 1: fund more money going in, and the numbers seem to 864 00:46:53,800 --> 00:46:55,760 Speaker 1: get bigger. You know, we're talking about ten million dollars 865 00:46:55,880 --> 00:47:00,560 Speaker 1: seed raises in New Zealand these days, which is quite impressive. 866 00:47:01,000 --> 00:47:03,960 Speaker 1: So it seems to be more and more money, but 867 00:47:04,000 --> 00:47:07,040 Speaker 1: the reality is the scale of what we're doing here 868 00:47:07,160 --> 00:47:09,239 Speaker 1: is very small, and if we do really want to 869 00:47:09,320 --> 00:47:11,200 Speaker 1: ramp things up, the more money you have, the faster 870 00:47:11,280 --> 00:47:12,920 Speaker 1: you can move, the more money you can give to 871 00:47:12,960 --> 00:47:17,680 Speaker 1: a founder to recruit that world class team and get 872 00:47:17,719 --> 00:47:21,840 Speaker 1: going quickly, which in a competitive space like the rocket 873 00:47:21,840 --> 00:47:24,759 Speaker 1: industry that Sir Peter Becker is operating in, there are 874 00:47:24,800 --> 00:47:28,160 Speaker 1: lots of players who want to be playing in that 875 00:47:28,200 --> 00:47:30,799 Speaker 1: space as well. The quicker you can get there, the 876 00:47:30,880 --> 00:47:33,840 Speaker 1: more likely you are going to succeed and own a 877 00:47:33,840 --> 00:47:36,400 Speaker 1: part of the market. So I guess while there is 878 00:47:36,440 --> 00:47:39,680 Speaker 1: more money going into it, we need more to really 879 00:47:39,960 --> 00:47:41,160 Speaker 1: accelerate what we're doing. 880 00:47:41,800 --> 00:47:46,040 Speaker 2: Yeah, I think that's true in many ways, and was 881 00:47:46,080 --> 00:47:48,000 Speaker 2: the message as well when he talked a bit later 882 00:47:48,120 --> 00:47:51,600 Speaker 2: about the need for more funding of science research as well, 883 00:47:51,680 --> 00:47:55,880 Speaker 2: So not just more funding of startups, but more funding 884 00:47:55,920 --> 00:47:59,759 Speaker 2: of the research and more funding of the commercialization of 885 00:47:59,840 --> 00:48:03,200 Speaker 2: that research. And it's just a truism of a small 886 00:48:03,200 --> 00:48:05,440 Speaker 2: country that we need more money. We're always going to 887 00:48:05,480 --> 00:48:09,279 Speaker 2: need more money, and balancing a New Zealand investment with 888 00:48:09,360 --> 00:48:12,920 Speaker 2: international investment, and that's really been I think a strong 889 00:48:13,040 --> 00:48:15,680 Speaker 2: theme of twenty twenty four for US and for the 890 00:48:15,719 --> 00:48:19,000 Speaker 2: venture capital and startup world is that we need to 891 00:48:19,160 --> 00:48:23,600 Speaker 2: start breaking out of New Zealand more and making New 892 00:48:23,680 --> 00:48:29,080 Speaker 2: Zealand a place where it is easy for overseas investors 893 00:48:29,160 --> 00:48:32,120 Speaker 2: to put money into startups. And part of that is 894 00:48:32,640 --> 00:48:36,759 Speaker 2: the reference that he made to global experience coming back 895 00:48:36,800 --> 00:48:40,280 Speaker 2: into New Zealand right at the beginning of the interview, 896 00:48:40,400 --> 00:48:43,759 Speaker 2: like it's just another example of the need for mentorship, 897 00:48:43,760 --> 00:48:47,240 Speaker 2: which was the theme of a discussion with Mahesh Moralda. 898 00:48:48,120 --> 00:48:54,040 Speaker 1: Yeah, absolutely, Gel's quite nicely with last week's episode. I 899 00:48:54,080 --> 00:48:56,520 Speaker 1: really loved that the story of Foundry Lab, which I 900 00:48:56,520 --> 00:49:00,279 Speaker 1: think Kylo's is one of the companies he's most proud 901 00:49:00,360 --> 00:49:04,160 Speaker 1: off really and in America, they've got a factory set 902 00:49:04,239 --> 00:49:08,239 Speaker 1: up there, they're raising Series B, so they're well on 903 00:49:08,280 --> 00:49:11,200 Speaker 1: their way. So how do you or can you even 904 00:49:11,280 --> 00:49:13,799 Speaker 1: sort of systematize that? So rather than that just being 905 00:49:13,840 --> 00:49:17,880 Speaker 1: a random discovery that a proactive venture capitalist comes across that. 906 00:49:18,320 --> 00:49:21,120 Speaker 1: There's a whole pipeline coming out of our research c 907 00:49:21,239 --> 00:49:23,520 Speaker 1: into where one thing builds on another so that we 908 00:49:23,680 --> 00:49:28,880 Speaker 1: have a lot more of those opportunities that are attracting cash. 909 00:49:29,040 --> 00:49:32,279 Speaker 2: Yeah, I mean taking the number eight wire mentality and 910 00:49:32,800 --> 00:49:35,600 Speaker 2: going from oh, okay, you've you've created a cool little 911 00:49:35,640 --> 00:49:37,560 Speaker 2: way to fix something to hey, how can you make 912 00:49:37,600 --> 00:49:40,080 Speaker 2: money off that cool way to fix something like that? 913 00:49:40,080 --> 00:49:43,680 Speaker 2: That's that's a big part of it. I think the 914 00:49:43,760 --> 00:49:47,560 Speaker 2: other interesting thing that I thought Carl said was that 915 00:49:47,960 --> 00:49:51,600 Speaker 2: we confuse capital raising with success sometimes. I thought it 916 00:49:51,719 --> 00:49:55,120 Speaker 2: was a quite a poignant moment to take because I think, 917 00:49:55,440 --> 00:49:57,040 Speaker 2: you know, you do get a bit fixated on the 918 00:49:57,040 --> 00:50:02,359 Speaker 2: big numbers sometimes, especially as media and audience. We go, oh, 919 00:50:02,440 --> 00:50:04,640 Speaker 2: big number, let's report it and talk about how awesome 920 00:50:04,680 --> 00:50:07,400 Speaker 2: it is. But it is important to remember that that 921 00:50:07,520 --> 00:50:10,080 Speaker 2: is just a first step a lot of the time, 922 00:50:10,360 --> 00:50:13,439 Speaker 2: and it's you know that the money is being put 923 00:50:13,480 --> 00:50:18,040 Speaker 2: in ahead of what will hopefully be a good company, 924 00:50:18,280 --> 00:50:20,279 Speaker 2: not because it is already one. 925 00:50:20,480 --> 00:50:24,719 Speaker 1: Yeah, how big the round is and who's involved in it. 926 00:50:24,880 --> 00:50:29,840 Speaker 1: That was really interesting from Kyle. A actually don't count 927 00:50:29,840 --> 00:50:32,200 Speaker 1: for as much as how you're spending it and a 928 00:50:32,239 --> 00:50:37,160 Speaker 1: return you're getting on it, that's a crucial measure. So yeah, 929 00:50:37,160 --> 00:50:39,799 Speaker 1: it's great. We've got people like this switched on and 930 00:50:39,920 --> 00:50:42,759 Speaker 1: now have ten years at least of experience doing this 931 00:50:42,920 --> 00:50:46,879 Speaker 1: behind them. Yeah. I hear mixed things about about the 932 00:50:46,920 --> 00:50:52,000 Speaker 1: incubator programs. Some people I've spoken to say it's done 933 00:50:52,160 --> 00:50:56,320 Speaker 1: really well. Others say the numbers involved are quite small. 934 00:50:56,320 --> 00:50:58,319 Speaker 1: The seven hundred and fifty thousand were payable. Grand if 935 00:50:58,320 --> 00:51:00,640 Speaker 1: we want to get serious about the we need to 936 00:51:00,880 --> 00:51:05,280 Speaker 1: ratchet up that money, which in the current environment is challenging. 937 00:51:05,560 --> 00:51:08,120 Speaker 1: But it seems you know, that's eighty or so companies 938 00:51:08,120 --> 00:51:10,560 Speaker 1: that have gone through that. I would say that a 939 00:51:10,680 --> 00:51:15,239 Speaker 1: number of them wouldn't have gone through as quickly if 940 00:51:15,280 --> 00:51:18,719 Speaker 1: they didn't have, you know, an interest free loan of 941 00:51:18,840 --> 00:51:22,080 Speaker 1: seven hundred and fifty thousand dollars, you know, like the 942 00:51:22,239 --> 00:51:25,040 Speaker 1: likes of B. Speckle, the Green Hydrogen Company. I know 943 00:51:25,080 --> 00:51:27,879 Speaker 1: they found that particularly useful. But not only that, you've 944 00:51:27,880 --> 00:51:31,080 Speaker 1: got the investment coming in from the incubator itself and 945 00:51:31,120 --> 00:51:36,120 Speaker 1: all the mentorship that goes around that. So even a 946 00:51:36,160 --> 00:51:38,680 Speaker 1: relatively small amount of money, probably compared to deep tech 947 00:51:38,680 --> 00:51:42,359 Speaker 1: companies overseas, can can help them get where they want 948 00:51:42,360 --> 00:51:43,400 Speaker 1: to go a lot quicker. 949 00:51:43,880 --> 00:51:47,080 Speaker 2: Yeah, yeah, And that's basically what we have to do. Like, 950 00:51:47,360 --> 00:51:49,000 Speaker 2: as a small country at the moment, we don't have 951 00:51:49,040 --> 00:51:50,840 Speaker 2: a choice. We can give what we can give, but 952 00:51:51,440 --> 00:51:55,360 Speaker 2: in a constrained capital environment and with a lot of 953 00:51:55,400 --> 00:51:59,239 Speaker 2: economic dunbar pressure like we have to make do. And 954 00:51:59,280 --> 00:52:01,200 Speaker 2: we can argue that we need more all we like, 955 00:52:01,520 --> 00:52:03,680 Speaker 2: but at some point we just have to go. Well 956 00:52:03,920 --> 00:52:05,840 Speaker 2: until then, we just have to keep doing what we 957 00:52:05,880 --> 00:52:06,840 Speaker 2: can do with what we have. 958 00:52:08,000 --> 00:52:12,280 Speaker 1: Absolutely well, that's it for this episode of the Business 959 00:52:12,280 --> 00:52:14,759 Speaker 1: of Tech Power by two degrees Business. Thanks so much 960 00:52:14,800 --> 00:52:16,920 Speaker 1: to Carl Jones for coming on the show. 961 00:52:17,280 --> 00:52:19,160 Speaker 2: You can find the stories we talked about today and 962 00:52:19,239 --> 00:52:22,279 Speaker 2: links to other interesting tech stories over on businessdesk dot 963 00:52:22,320 --> 00:52:24,960 Speaker 2: co dot nz, and you can subscribe and listen to 964 00:52:25,000 --> 00:52:28,279 Speaker 2: all episodes of the podcast on iHeartRadio or wherever you 965 00:52:28,320 --> 00:52:29,200 Speaker 2: get your podcasts. 966 00:52:29,320 --> 00:52:32,680 Speaker 1: Drop us a line with suggestions for future guests. Email 967 00:52:33,080 --> 00:52:36,319 Speaker 1: Ben on Ben at businessdesk dot co dot nzed. We'll 968 00:52:36,320 --> 00:52:39,400 Speaker 1: find both of us on LinkedIn and x We also 969 00:52:39,480 --> 00:52:42,560 Speaker 1: now have a LinkedIn page devoted to the podcast. Just 970 00:52:42,600 --> 00:52:45,640 Speaker 1: search for the Business of Tech Podcasts and you'll find. 971 00:52:45,400 --> 00:52:47,520 Speaker 2: It you can engage with us there. You can comment 972 00:52:47,560 --> 00:52:50,080 Speaker 2: on stories and let us know what you think, or 973 00:52:50,160 --> 00:52:52,680 Speaker 2: you can you know, invite other people to listen as well, 974 00:52:52,719 --> 00:52:56,319 Speaker 2: which is always appreciated. We've got another episode coming your 975 00:52:56,360 --> 00:52:57,759 Speaker 2: way next Thursday. 976 00:52:58,520 --> 00:52:59,080 Speaker 1: Catch you then,