1 00:00:03,040 --> 00:00:07,039 Speaker 1: Hey, everyone, Welcome to the Restless Ones. I'm Jonathan Strickland. 2 00:00:07,320 --> 00:00:10,719 Speaker 1: As always, my focus is on exploring the intersection of 3 00:00:10,720 --> 00:00:14,440 Speaker 1: technology and business by having conversations with the most forward 4 00:00:14,480 --> 00:00:19,200 Speaker 1: thinking leaders. Throughout my career, I've covered everything from massive 5 00:00:19,239 --> 00:00:24,319 Speaker 1: parallel processing to advanced robotics, but what truly inspires me 6 00:00:24,680 --> 00:00:31,440 Speaker 1: are the stories of innovation and transformation. Today I got 7 00:00:31,440 --> 00:00:34,440 Speaker 1: to sit down and have a conversation with Cleven CEO 8 00:00:34,800 --> 00:00:38,040 Speaker 1: Sander Sebastian A. Gore, and his story went in a 9 00:00:38,040 --> 00:00:42,920 Speaker 1: different direction from what I expected. What if you identified 10 00:00:43,080 --> 00:00:47,680 Speaker 1: a technological need, not just a business imperative, but a 11 00:00:47,880 --> 00:00:53,840 Speaker 1: lofty goal that revolved around achieving significant technological innovation. And 12 00:00:53,960 --> 00:00:58,160 Speaker 1: then what if, in pursuit of this, you zeroed in 13 00:00:58,200 --> 00:01:02,000 Speaker 1: on a particular business case for the technology to serve 14 00:01:02,120 --> 00:01:04,720 Speaker 1: as your company's mission. I think it would be fair 15 00:01:04,720 --> 00:01:08,400 Speaker 1: to say that Cleven has followed such a path. But first, 16 00:01:08,760 --> 00:01:12,440 Speaker 1: what is Cleven. It's a company that develops autonomous and 17 00:01:12,520 --> 00:01:17,640 Speaker 1: teleoperated delivery vehicles intended to bring last mile solutions to customers. 18 00:01:18,120 --> 00:01:22,120 Speaker 1: Cleven developed both the hardware and the software needed to 19 00:01:22,120 --> 00:01:25,160 Speaker 1: provide this service and works with dozens of other companies 20 00:01:25,200 --> 00:01:29,640 Speaker 1: to create vehicles capable of navigating public roads safely and efficiently. 21 00:01:30,240 --> 00:01:35,520 Speaker 1: But these vehicles, while unmanned, aren't unsupervised. An operator can 22 00:01:35,560 --> 00:01:39,679 Speaker 1: monitor a vehicle or multiple vehicles from a remote center 23 00:01:39,720 --> 00:01:43,280 Speaker 1: of operations. To achieve this outcome, a lot of technology 24 00:01:43,319 --> 00:01:47,400 Speaker 1: needs to be in place, including a robust communications network 25 00:01:47,480 --> 00:01:51,800 Speaker 1: capable of sending information with very low latency. Clearly, Cleven's 26 00:01:51,800 --> 00:01:56,400 Speaker 1: methodology is made possible largely thanks to advancements in wireless communications. 27 00:01:57,040 --> 00:02:00,280 Speaker 1: I would chat with Sander about this and lots more 28 00:02:00,360 --> 00:02:03,280 Speaker 1: in a great conversation, But to get started, I wanted 29 00:02:03,320 --> 00:02:06,680 Speaker 1: to ask about Sander's own background, which would involve chatting 30 00:02:06,760 --> 00:02:15,440 Speaker 1: a little bit about planes. Sander, I want to welcome 31 00:02:15,480 --> 00:02:19,320 Speaker 1: you to our podcast, The Restless Ones. I'm very excited 32 00:02:19,360 --> 00:02:22,440 Speaker 1: to have you on the show. I'm curious how you 33 00:02:22,639 --> 00:02:26,200 Speaker 1: first got interested in technology in general. 34 00:02:26,919 --> 00:02:29,120 Speaker 2: Thank you for having me. It's exciting to be here. 35 00:02:29,160 --> 00:02:33,520 Speaker 2: And I guess I started showing interest in technology actually 36 00:02:33,520 --> 00:02:37,920 Speaker 2: in the early two thousands when my dad introduced me 37 00:02:38,000 --> 00:02:42,280 Speaker 2: to airplanes, and I had the luxury to experience airplanes 38 00:02:42,320 --> 00:02:45,960 Speaker 2: and aviation and how they operate. What systems do airplanes 39 00:02:46,000 --> 00:02:49,680 Speaker 2: have on board? So I would say aviation showed me 40 00:02:49,760 --> 00:02:52,440 Speaker 2: the way what technology is all about and what it 41 00:02:52,480 --> 00:02:56,480 Speaker 2: can do. And ever since then, I've been interested not 42 00:02:56,560 --> 00:03:01,160 Speaker 2: only in aviation, but different forms of technology where and hardware. 43 00:03:01,919 --> 00:03:04,280 Speaker 1: Yeah, and I am so tempted to just have a 44 00:03:04,280 --> 00:03:08,960 Speaker 1: deep conversation about avionics and transponders. And in a previous 45 00:03:09,000 --> 00:03:13,000 Speaker 1: life I used to write documentation for airplane systems and 46 00:03:13,160 --> 00:03:17,120 Speaker 1: about the layout of all the cabling and the various 47 00:03:17,400 --> 00:03:21,280 Speaker 1: components within your typical aircraft. And I think it's an 48 00:03:21,280 --> 00:03:24,359 Speaker 1: amazing education in technology in general, because not only do 49 00:03:24,440 --> 00:03:26,480 Speaker 1: you learn about these basic components and how they all 50 00:03:26,520 --> 00:03:29,560 Speaker 1: work together, there were so many other technologies that rose 51 00:03:29,639 --> 00:03:34,160 Speaker 1: up in order to make it more efficient to create 52 00:03:34,240 --> 00:03:37,440 Speaker 1: sophisticated aircraft. For example, augmented reality. Maybe not a lot 53 00:03:37,480 --> 00:03:40,560 Speaker 1: of people know this, but augmented reality really got a 54 00:03:40,600 --> 00:03:44,000 Speaker 1: big start in learning how to lay out the cabling 55 00:03:44,040 --> 00:03:47,240 Speaker 1: systems inside an aircraft chassis so that the people who 56 00:03:47,280 --> 00:03:49,920 Speaker 1: were putting the aircraft together could see where they needed 57 00:03:49,960 --> 00:03:51,640 Speaker 1: to lay the various components. 58 00:03:52,120 --> 00:03:57,360 Speaker 2: They are related, I mean, redundancy, duplicated safety systems. They 59 00:03:57,400 --> 00:04:00,560 Speaker 2: all actually apply on autonomously. Because as well, and we 60 00:04:00,680 --> 00:04:03,640 Speaker 2: take great note of aviation actually, and when we come 61 00:04:03,680 --> 00:04:07,120 Speaker 2: to tell as supervision and teleoperation, this is also something 62 00:04:07,160 --> 00:04:10,240 Speaker 2: that the aviation industry is actually using by having air 63 00:04:10,280 --> 00:04:14,160 Speaker 2: traffic controllers who oversee a fleet of airplanes. 64 00:04:14,640 --> 00:04:18,240 Speaker 1: Well, that's an excellent point. You studied aviation management, you 65 00:04:18,320 --> 00:04:22,400 Speaker 1: earned degrees in that. I'm really curious what your journey 66 00:04:22,480 --> 00:04:27,000 Speaker 1: was like from the world of aviation toward solving last 67 00:04:27,160 --> 00:04:30,120 Speaker 1: mile challenges in the delivery space. 68 00:04:31,040 --> 00:04:36,040 Speaker 2: First of all, both industries are super difficult. It's extremely 69 00:04:36,120 --> 00:04:40,040 Speaker 2: difficult to run a profitable airline. And having come from 70 00:04:40,080 --> 00:04:42,880 Speaker 2: the airline industry, I can tell you that a profitable 71 00:04:42,920 --> 00:04:46,800 Speaker 2: airline is something that you don't see that often. And 72 00:04:47,279 --> 00:04:51,279 Speaker 2: now we are pioneering autonomous vehicle industry and it's as 73 00:04:51,320 --> 00:04:55,240 Speaker 2: difficult as airlines. I mean, we are laying the bricks 74 00:04:55,240 --> 00:04:57,919 Speaker 2: and we are putting down the foundation on which the 75 00:04:57,960 --> 00:05:02,560 Speaker 2: new industry can really exist. Abundance is vast and progress 76 00:05:02,680 --> 00:05:05,360 Speaker 2: is gradual. Put them together and it will take you 77 00:05:05,520 --> 00:05:08,720 Speaker 2: on a journey. And it's been a gradual journey so far. 78 00:05:08,960 --> 00:05:12,080 Speaker 2: Coming from the airlines establishing one of the largest and 79 00:05:12,240 --> 00:05:16,000 Speaker 2: first locker networks in Europe and in the US, and 80 00:05:16,040 --> 00:05:19,599 Speaker 2: it's been a progress so as new technologies emerge, we 81 00:05:19,760 --> 00:05:22,719 Speaker 2: take note and we try to implement them and pivot 82 00:05:22,760 --> 00:05:26,080 Speaker 2: and trial, and it's been a long kind of experiment, 83 00:05:26,360 --> 00:05:29,800 Speaker 2: but finding profitable business models in the meantime and in between. 84 00:05:30,440 --> 00:05:33,720 Speaker 1: To that end, I would love to get your definition 85 00:05:34,360 --> 00:05:38,520 Speaker 1: of the problem that cleven aims to solve. 86 00:05:39,600 --> 00:05:43,520 Speaker 2: So clever On is first and foremost a technology company 87 00:05:43,800 --> 00:05:48,000 Speaker 2: focusing on autonomous driving systems technology, and the hardware we 88 00:05:48,120 --> 00:05:52,160 Speaker 2: manufacture is an extension of the software. So I could 89 00:05:52,160 --> 00:05:55,599 Speaker 2: say that we are combining the best hardware and software 90 00:05:55,720 --> 00:06:00,280 Speaker 2: for sustainable future really by building physical and digital infrastrucructure 91 00:06:00,360 --> 00:06:05,039 Speaker 2: to make autonomous mobility a reality for industries worldwide. But 92 00:06:05,440 --> 00:06:07,800 Speaker 2: we have to start from somewhere, and we have chosen 93 00:06:08,000 --> 00:06:12,080 Speaker 2: the last mile space to be extremely underserved. It's one 94 00:06:12,120 --> 00:06:15,760 Speaker 2: of the biggest cost elements for companies operating in the 95 00:06:15,800 --> 00:06:19,000 Speaker 2: logistics space. Up to sixty to eighty percent of the 96 00:06:19,080 --> 00:06:23,520 Speaker 2: last mile cost is actually labor related cost. And at 97 00:06:23,520 --> 00:06:26,400 Speaker 2: the same time, we have the shortage of drivers ever 98 00:06:26,520 --> 00:06:29,840 Speaker 2: increasing volume of packages that need to be delivered. So 99 00:06:29,920 --> 00:06:33,480 Speaker 2: we have chosen this space specifically because it's difficult and 100 00:06:33,600 --> 00:06:36,679 Speaker 2: risky as well. So we see that if we solve 101 00:06:37,120 --> 00:06:41,080 Speaker 2: one of the most difficult pain points in the logistics chain, 102 00:06:41,560 --> 00:06:44,320 Speaker 2: then we have a really high likelihood of expanding that 103 00:06:44,400 --> 00:06:48,320 Speaker 2: technology to different sectors. So we are keeping our systems 104 00:06:48,360 --> 00:06:52,440 Speaker 2: in the inner city areas. The carriers are driving in 105 00:06:52,480 --> 00:06:58,080 Speaker 2: a safe manner, in neighborhoods, different communities, serving customers in 106 00:06:58,120 --> 00:07:02,200 Speaker 2: a polite, quiet, safe manner, and I think this is 107 00:07:02,240 --> 00:07:06,680 Speaker 2: really necessary to really get consumers acquainted with the technology, 108 00:07:06,720 --> 00:07:10,480 Speaker 2: get them feel comfortable with new technologies. I think starting 109 00:07:10,520 --> 00:07:14,480 Speaker 2: with the toughest task is somewhat risky, but it's also 110 00:07:14,560 --> 00:07:16,600 Speaker 2: really rewarding if we do solve it. 111 00:07:17,320 --> 00:07:20,520 Speaker 1: This is fascinating. So I see this as the approach 112 00:07:20,640 --> 00:07:23,280 Speaker 1: of defining a specific problem so that you can really 113 00:07:23,320 --> 00:07:27,280 Speaker 1: focus your efforts, identify where the challenges are, where the 114 00:07:27,280 --> 00:07:32,240 Speaker 1: bottlenecks are, and then engineer a solution to those And 115 00:07:32,600 --> 00:07:34,600 Speaker 1: from what it sounds like, it sounds like rather than 116 00:07:34,640 --> 00:07:39,040 Speaker 1: the open sandbox where everything is a possibility, it makes 117 00:07:39,080 --> 00:07:42,280 Speaker 1: it very difficult to focus on specifics. By identifying a 118 00:07:42,480 --> 00:07:46,920 Speaker 1: very particular challenge, this last mile delivery, you have defined 119 00:07:46,920 --> 00:07:50,640 Speaker 1: the context of what needs to happen, and from what 120 00:07:50,720 --> 00:07:53,400 Speaker 1: you're saying to me, it sounds like it's multifaceted. There's 121 00:07:53,440 --> 00:07:57,360 Speaker 1: the technology side of solving that problem, but there's also 122 00:07:57,520 --> 00:08:01,840 Speaker 1: the social side, getting the social buy in for autonomous vehicles, 123 00:08:01,840 --> 00:08:04,720 Speaker 1: which is its own problem. Then there's also I imagine 124 00:08:04,760 --> 00:08:07,520 Speaker 1: the political challenge as well, making sure that you are 125 00:08:07,520 --> 00:08:11,640 Speaker 1: able to meet with legislators and to achieve the agreement 126 00:08:11,680 --> 00:08:15,120 Speaker 1: from them to allow those vehicles to operate on public roads. 127 00:08:15,480 --> 00:08:18,280 Speaker 1: So it's a multi pronged kind of challenge you're tackling. 128 00:08:18,880 --> 00:08:22,760 Speaker 2: Absolutely, there's no one who right now knows exactly what's 129 00:08:22,840 --> 00:08:26,200 Speaker 2: right and wrong. We have decided that we in addition 130 00:08:26,240 --> 00:08:29,000 Speaker 2: to deploying the vehicles, we want to educate. We want 131 00:08:29,000 --> 00:08:31,800 Speaker 2: to educate the communities. We want to educate the lawmakers 132 00:08:32,360 --> 00:08:36,400 Speaker 2: and tell them what is realistic and what is safe 133 00:08:36,440 --> 00:08:39,120 Speaker 2: and what is not. And we've been lucky to be 134 00:08:39,280 --> 00:08:42,880 Speaker 2: actually the first company in Europe in twenty twenty that 135 00:08:43,120 --> 00:08:46,800 Speaker 2: was allowed on the public roads with completely unmanned vehicles. 136 00:08:47,240 --> 00:08:49,200 Speaker 2: And we take the same approach as we take with 137 00:08:49,280 --> 00:08:53,640 Speaker 2: our customers when talking with authorities. Let's begin with a 138 00:08:53,760 --> 00:08:58,520 Speaker 2: very simple test, very simple demonstration and showcase, and then 139 00:08:58,600 --> 00:09:03,760 Speaker 2: gradually add more technology, add more autonomous striving capabilities, and 140 00:09:04,160 --> 00:09:06,840 Speaker 2: once everybody is comfortable with that setup, we can go 141 00:09:06,920 --> 00:09:09,400 Speaker 2: beyond and we can test more and more and show 142 00:09:09,679 --> 00:09:12,320 Speaker 2: what the vehicles are actually capable of when they are 143 00:09:12,320 --> 00:09:13,240 Speaker 2: given more permissions. 144 00:09:13,280 --> 00:09:17,240 Speaker 1: Basically excellent. So we're talking about a combination of autonomy 145 00:09:17,280 --> 00:09:22,880 Speaker 1: and teleoperation. I imagine that connectivity is an absolute foundational 146 00:09:22,960 --> 00:09:28,760 Speaker 1: technology for your approach. In order to have this teleoperative control, 147 00:09:28,960 --> 00:09:32,080 Speaker 1: you need to have something where you have no latency. 148 00:09:32,480 --> 00:09:34,680 Speaker 1: If you are operating a vehicle on a public street 149 00:09:34,679 --> 00:09:36,960 Speaker 1: and someone comes to a quick stop in front of you, 150 00:09:37,240 --> 00:09:39,480 Speaker 1: the tele operator needs to be able to respond in 151 00:09:39,559 --> 00:09:42,880 Speaker 1: kind in order to avoid an accident. So can you 152 00:09:42,960 --> 00:09:47,199 Speaker 1: talk a bit about how connectivity plays a part in 153 00:09:47,240 --> 00:09:50,320 Speaker 1: the operations of cleven at the stage you're at right. 154 00:09:50,200 --> 00:09:56,320 Speaker 2: Now, Connectivity is crucial for our services. We definitely need 155 00:09:56,520 --> 00:10:00,760 Speaker 2: a wide network coverage, especially in the US. We've been 156 00:10:00,760 --> 00:10:03,160 Speaker 2: really lucky to have a partnership now in place with 157 00:10:03,200 --> 00:10:08,720 Speaker 2: T Mobile, and this partnership enables us to expand rapidly 158 00:10:08,760 --> 00:10:11,280 Speaker 2: in the States. So the big question always is to 159 00:10:11,440 --> 00:10:14,920 Speaker 2: we have the necessary latency to offer our services in 160 00:10:14,960 --> 00:10:19,160 Speaker 2: a safe way, and the results so far are great. 161 00:10:19,440 --> 00:10:23,080 Speaker 2: Our latency today is around one hundred milliseconds, which is 162 00:10:23,120 --> 00:10:27,320 Speaker 2: actually faster than any person who takes decisions in the 163 00:10:27,360 --> 00:10:31,160 Speaker 2: real car. So I would say that our solution is 164 00:10:31,160 --> 00:10:35,439 Speaker 2: actually as safe or even safer than any normal person 165 00:10:35,520 --> 00:10:40,120 Speaker 2: driving on the roads. And by establishing those connectivity partnerships, 166 00:10:40,120 --> 00:10:43,240 Speaker 2: we are partnering with the best in class wireless providers 167 00:10:43,720 --> 00:10:46,360 Speaker 2: and they are crucial to enable us to scale our 168 00:10:46,440 --> 00:10:52,280 Speaker 2: mission to deliver the most reliable, safe, efficient autonomous delivery platform. 169 00:10:52,559 --> 00:10:57,560 Speaker 1: Fascinating with this approach to marriage of teleoperation and autonomy, 170 00:10:57,960 --> 00:11:01,320 Speaker 1: do you imagine that the future of autonomous vehicles will 171 00:11:01,360 --> 00:11:05,480 Speaker 1: be a hybrid where there will be this communication outside 172 00:11:05,520 --> 00:11:08,640 Speaker 1: the vehicle itself, or do you think that we are 173 00:11:08,720 --> 00:11:13,120 Speaker 1: going to focus more on an autonomous but fully siloed 174 00:11:13,200 --> 00:11:16,160 Speaker 1: vehicle that's kind of its own computer. 175 00:11:16,520 --> 00:11:20,360 Speaker 2: The network that you're describing. That requires a lot of 176 00:11:20,760 --> 00:11:24,640 Speaker 2: infrastructure investment, and it's not only one company that can 177 00:11:24,760 --> 00:11:27,599 Speaker 2: achieve that. In this case, it would have to be 178 00:11:27,640 --> 00:11:32,720 Speaker 2: a joint collaboration between connectivity providers, different technology companies that 179 00:11:32,800 --> 00:11:37,720 Speaker 2: really make five G and DIOT technologies scalable as well well. 180 00:11:37,720 --> 00:11:39,640 Speaker 1: And that kind is a great way to bring us 181 00:11:39,640 --> 00:11:42,040 Speaker 1: back to the solving of the last mile because As 182 00:11:42,080 --> 00:11:45,720 Speaker 1: you mentioned, the last mile for delivery is the most 183 00:11:45,760 --> 00:11:49,440 Speaker 1: difficult problem to solve. Can you talk a bit about 184 00:11:49,480 --> 00:11:52,160 Speaker 1: some of the work that Cleven has done with various 185 00:11:52,200 --> 00:11:58,199 Speaker 1: partners and how that has informed your approach to business 186 00:11:58,360 --> 00:12:01,440 Speaker 1: and how that has evolved since the company was formed. 187 00:12:02,160 --> 00:12:06,040 Speaker 2: Sure, so, we actually spent four or five years during 188 00:12:06,360 --> 00:12:09,360 Speaker 2: just silent R and D no one knew about us, 189 00:12:09,440 --> 00:12:12,400 Speaker 2: and we just popped up at the beginning of last year. 190 00:12:12,559 --> 00:12:16,120 Speaker 2: That's when we launched our third generation vehicle, and since 191 00:12:16,160 --> 00:12:19,640 Speaker 2: then we've managed to actually sign up large amount of 192 00:12:19,679 --> 00:12:23,199 Speaker 2: customers coming from both the logistics sector and retail as well. 193 00:12:23,880 --> 00:12:27,440 Speaker 2: Because we keep our manufacturing side of things in house, 194 00:12:27,679 --> 00:12:30,960 Speaker 2: we are also capable of designing the exact vehicle that 195 00:12:31,000 --> 00:12:33,480 Speaker 2: we want to use. And our vision was to have 196 00:12:33,520 --> 00:12:37,040 Speaker 2: a really lightweight vehicle, something that you cannot get from 197 00:12:37,040 --> 00:12:40,600 Speaker 2: any automotive OEM, and this has been well received by 198 00:12:40,600 --> 00:12:43,160 Speaker 2: the US legislators as well. We fit nicely in a 199 00:12:43,200 --> 00:12:47,240 Speaker 2: specific vehicle category and that has gained us access to 200 00:12:47,280 --> 00:12:50,200 Speaker 2: actually five states and we are actually making the first 201 00:12:50,240 --> 00:12:53,600 Speaker 2: steps to launch commercial services in the US. So we 202 00:12:53,640 --> 00:12:57,800 Speaker 2: can already see from multiple use cases that we are 203 00:12:57,840 --> 00:13:00,960 Speaker 2: not only matching the speed of the and the volume 204 00:13:01,000 --> 00:13:04,920 Speaker 2: of delivery, but we are also making it more affordable 205 00:13:05,000 --> 00:13:05,880 Speaker 2: for our customers. 206 00:13:06,520 --> 00:13:09,200 Speaker 1: Excellent. Can you maybe go into a little more detail 207 00:13:09,240 --> 00:13:10,400 Speaker 1: about those use cases. 208 00:13:11,080 --> 00:13:15,360 Speaker 2: Sure. We began testing with for example, DHL Express at 209 00:13:15,360 --> 00:13:19,720 Speaker 2: the beginning of last year. We were initially servicing dhl's 210 00:13:19,920 --> 00:13:23,600 Speaker 2: own offices in the cities, but pretty quickly realized that 211 00:13:23,640 --> 00:13:26,760 Speaker 2: we can actually go beyond and start servicing both P 212 00:13:26,920 --> 00:13:29,760 Speaker 2: to B and P two C customers. So today we 213 00:13:29,840 --> 00:13:33,440 Speaker 2: are actually driving as we speak on the public roads, 214 00:13:33,800 --> 00:13:37,000 Speaker 2: we are delivering packages. We are in fact scaling the 215 00:13:37,040 --> 00:13:40,320 Speaker 2: fleets as well. So it all began with just one 216 00:13:40,400 --> 00:13:43,680 Speaker 2: simple test, one vehicle, and now we are expanding the 217 00:13:43,679 --> 00:13:48,079 Speaker 2: fleets and thinking about expanding the operational domains and regions 218 00:13:48,080 --> 00:13:51,959 Speaker 2: as well in Europe, going beyond Estonia, starting operations in France. 219 00:13:52,040 --> 00:13:56,240 Speaker 2: In Germany, we just launched a delivery service in Harvest 220 00:13:56,440 --> 00:13:59,920 Speaker 2: near Dallas, where we are working with a company called Postnet. 221 00:14:00,760 --> 00:14:03,560 Speaker 2: We see great traction from many but now for us 222 00:14:03,600 --> 00:14:06,480 Speaker 2: as a company, it's the question of with whom we 223 00:14:06,600 --> 00:14:09,679 Speaker 2: work and how much will we scale at this current stage, 224 00:14:09,840 --> 00:14:13,360 Speaker 2: as we need to internally scale our company as well. 225 00:14:13,400 --> 00:14:16,400 Speaker 2: At the same time, So it's always this balancing act 226 00:14:16,720 --> 00:14:18,960 Speaker 2: how much we do and how fast we develop so 227 00:14:19,040 --> 00:14:21,920 Speaker 2: that the company can actually keep up with the development. 228 00:14:29,400 --> 00:14:31,960 Speaker 1: When you're looking to scale up and hire more people, 229 00:14:32,680 --> 00:14:35,960 Speaker 1: what are these skills that are most important to Cleven 230 00:14:36,000 --> 00:14:37,720 Speaker 1: when you're out scouting for talent. 231 00:14:38,320 --> 00:14:41,080 Speaker 2: We are actually a really unique company in a sense 232 00:14:41,240 --> 00:14:45,160 Speaker 2: as we have our own in house university or academy, 233 00:14:45,800 --> 00:14:49,120 Speaker 2: which we created a couple of years ago. So instead 234 00:14:49,120 --> 00:14:51,680 Speaker 2: of going out and trying to find the talent, we 235 00:14:51,720 --> 00:14:57,200 Speaker 2: are actually training young people to become megatronics engineers software developers, 236 00:14:57,560 --> 00:15:00,760 Speaker 2: and that's all happening in house. So even if we 237 00:15:00,800 --> 00:15:04,240 Speaker 2: go out and try to find top talent, they necessarily 238 00:15:04,280 --> 00:15:07,920 Speaker 2: don't have that practical experience. As I mentioned, the hardware 239 00:15:08,040 --> 00:15:11,200 Speaker 2: is just the extension of the software, so we need 240 00:15:11,280 --> 00:15:14,120 Speaker 2: people who can work with both hardware and software and 241 00:15:14,360 --> 00:15:18,320 Speaker 2: understand how the hardware operates as well. And inside our 242 00:15:18,400 --> 00:15:21,120 Speaker 2: company we have the luxury of putting those two together. 243 00:15:21,920 --> 00:15:24,840 Speaker 2: So the students who actually study with us right now, 244 00:15:25,200 --> 00:15:28,440 Speaker 2: they have a really high degree of practical experience. And 245 00:15:28,480 --> 00:15:31,160 Speaker 2: I would say that my ambition is actually to scale 246 00:15:31,200 --> 00:15:34,200 Speaker 2: the university and the education part even more in the 247 00:15:34,240 --> 00:15:39,000 Speaker 2: future by establishing perhaps a US academy and bringing the 248 00:15:39,120 --> 00:15:42,800 Speaker 2: know how from Europe, from Estonia to the US. So 249 00:15:42,840 --> 00:15:46,000 Speaker 2: I think what's lacking in the educational system right now 250 00:15:46,080 --> 00:15:49,200 Speaker 2: is really the practical side of things. And I see 251 00:15:49,240 --> 00:15:53,880 Speaker 2: that technology companies should be actually open to include students 252 00:15:53,920 --> 00:15:57,040 Speaker 2: in their everyday work and life and let them test 253 00:15:57,080 --> 00:16:00,880 Speaker 2: and let them engineer on the physical product itself. 254 00:16:01,360 --> 00:16:05,680 Speaker 1: That's amazing. I think that's a really inspiring approach toward 255 00:16:05,760 --> 00:16:09,720 Speaker 1: developing talent because, as we know, the skills you learn 256 00:16:10,000 --> 00:16:12,720 Speaker 1: in tackling something like this, those are the same skills 257 00:16:12,720 --> 00:16:15,480 Speaker 1: that are going to be useful in applications that go 258 00:16:15,600 --> 00:16:18,280 Speaker 1: well beyond even autonomous driving. 259 00:16:18,800 --> 00:16:22,080 Speaker 2: Yeah, I think it's much better to upskill people who 260 00:16:22,080 --> 00:16:25,680 Speaker 2: are interested in technology, and that way we get motivated, 261 00:16:26,160 --> 00:16:29,440 Speaker 2: eager to learn, people who want to contribute. In reality, 262 00:16:29,520 --> 00:16:32,320 Speaker 2: they're not just starter the paychecks. We are giving our 263 00:16:32,360 --> 00:16:35,440 Speaker 2: students like a quad pike to begin with, and telling 264 00:16:35,480 --> 00:16:38,880 Speaker 2: them that this quad pike needs to be remotely operated 265 00:16:39,000 --> 00:16:41,040 Speaker 2: by the end of the course, and together with us, 266 00:16:41,080 --> 00:16:43,840 Speaker 2: they are capable of achieving that. Right, So that's how 267 00:16:43,840 --> 00:16:45,200 Speaker 2: it goes, step by step. 268 00:16:45,840 --> 00:16:50,760 Speaker 1: I love that the vehicles themselves are these lightweight, smaller vehicles. 269 00:16:51,040 --> 00:16:53,320 Speaker 1: I was also really interested in the fact that they 270 00:16:53,360 --> 00:16:57,200 Speaker 1: are all electric vehicles, and I think that was a 271 00:16:57,240 --> 00:17:00,720 Speaker 1: fantastic decision. Was that something that you had made a 272 00:17:00,760 --> 00:17:04,480 Speaker 1: conscious decision early on, or was it driven by engineering 273 00:17:04,520 --> 00:17:05,800 Speaker 1: needs or was it a combination. 274 00:17:06,800 --> 00:17:10,440 Speaker 2: First of all, electric vehicles are in our case, actually 275 00:17:10,520 --> 00:17:15,240 Speaker 2: lighter than any combustion engine vehicles. Secondly, we saw the 276 00:17:15,440 --> 00:17:20,000 Speaker 2: emergence of green cities and the zero emission zones, so 277 00:17:20,280 --> 00:17:23,600 Speaker 2: we wanted definitely to have an electric vehicle which doesn't 278 00:17:23,600 --> 00:17:25,919 Speaker 2: consume a lot of electricity. I can tell you that 279 00:17:25,960 --> 00:17:29,800 Speaker 2: we only use forty two what hours per kilometer, which 280 00:17:29,840 --> 00:17:33,600 Speaker 2: is actually super low figure. Any normal electric car we'd 281 00:17:33,680 --> 00:17:36,960 Speaker 2: use two to three hundred what dours. So the cost 282 00:17:37,080 --> 00:17:40,439 Speaker 2: of driving the vehicle should be really low. We can 283 00:17:40,480 --> 00:17:43,639 Speaker 2: calculate that it's approximately a few cents per mile, and 284 00:17:43,880 --> 00:17:47,200 Speaker 2: actually it has been paying off because we now proved 285 00:17:47,400 --> 00:17:50,800 Speaker 2: and showed to the legislators and the government that we 286 00:17:50,840 --> 00:17:54,359 Speaker 2: are small, nimble, we drive at really low speeds, we 287 00:17:54,400 --> 00:17:55,360 Speaker 2: don't pollute. 288 00:17:55,920 --> 00:17:58,760 Speaker 1: And that kind of leads me to my last big question, 289 00:17:58,920 --> 00:18:01,960 Speaker 1: which is do you have any advice for business leaders 290 00:18:02,280 --> 00:18:06,639 Speaker 1: who find themselves needing to work with local or even 291 00:18:06,920 --> 00:18:11,120 Speaker 1: federal or countrywide legislators. What are the sort of approaches 292 00:18:11,160 --> 00:18:14,520 Speaker 1: that you found to be really effective when you are 293 00:18:14,880 --> 00:18:17,720 Speaker 1: dealing with people who aren't in the tech space, but 294 00:18:17,760 --> 00:18:20,520 Speaker 1: they are in the legislative space, and it's their duty 295 00:18:20,560 --> 00:18:25,000 Speaker 1: to protect citizens and landmarks and all of that. 296 00:18:25,600 --> 00:18:27,960 Speaker 2: I would say the most important thing is to establish 297 00:18:28,000 --> 00:18:32,639 Speaker 2: a communication, a friendly communication line, and show that the 298 00:18:32,720 --> 00:18:37,160 Speaker 2: technology is not a threat, it's actually beneficial for the communities. 299 00:18:37,840 --> 00:18:40,920 Speaker 2: And that's only possible if you just bring the technology 300 00:18:41,040 --> 00:18:45,280 Speaker 2: to them, demonstrate, let them test it themselves, and that 301 00:18:45,359 --> 00:18:48,680 Speaker 2: way kind of gain more trust. We show them how 302 00:18:48,720 --> 00:18:51,680 Speaker 2: we do it, why we do it, and let them 303 00:18:51,720 --> 00:18:54,640 Speaker 2: be like part of the roadmap. Let them be in 304 00:18:54,760 --> 00:18:59,040 Speaker 2: charge of deploying the vehicles and giving the permissions. In 305 00:18:59,280 --> 00:19:03,399 Speaker 2: some cases we allow the legislators to sit behind the wheel, 306 00:19:03,560 --> 00:19:06,480 Speaker 2: take the wheel, try to tell operate the vehicles, test 307 00:19:06,480 --> 00:19:10,680 Speaker 2: the latency, test the ADS systems, and once to get 308 00:19:10,720 --> 00:19:13,040 Speaker 2: the feel of it, they understand and they allow us 309 00:19:13,080 --> 00:19:13,560 Speaker 2: to do more. 310 00:19:16,119 --> 00:19:18,440 Speaker 1: Before I could let Sander go, I needed to ask 311 00:19:18,520 --> 00:19:27,040 Speaker 1: him one more thing. What's the best advice you have 312 00:19:27,200 --> 00:19:28,119 Speaker 1: ever received? 313 00:19:28,800 --> 00:19:32,120 Speaker 2: I think it might come from my dad who said 314 00:19:32,160 --> 00:19:35,359 Speaker 2: that if you want to do something and you really 315 00:19:35,400 --> 00:19:39,000 Speaker 2: believe in it, just do it first and then ask 316 00:19:39,040 --> 00:19:43,080 Speaker 2: permissions later. The idea here is that if you start 317 00:19:43,160 --> 00:19:46,120 Speaker 2: asking questions from the early on, at the idea stage, 318 00:19:46,720 --> 00:19:49,359 Speaker 2: then everybody will tell you that it's not possible. No, 319 00:19:49,720 --> 00:19:54,440 Speaker 2: it's not allowed, it's not permitted, technically impossible. But if 320 00:19:54,480 --> 00:19:58,119 Speaker 2: you just take the leap of faith and to the MVP, 321 00:19:59,000 --> 00:20:01,359 Speaker 2: then you have control and you have something to show. 322 00:20:01,600 --> 00:20:04,920 Speaker 2: And if you have something to show, you can communicate 323 00:20:05,160 --> 00:20:08,520 Speaker 2: that value to others. So begin with your belief in 324 00:20:08,560 --> 00:20:11,440 Speaker 2: what you're doing and just do it as a first step. 325 00:20:12,000 --> 00:20:15,359 Speaker 1: Wow, well, Sander, this has been a phenomenal conversation. I 326 00:20:15,400 --> 00:20:17,359 Speaker 1: wish I could stretch it out longer, but I respect 327 00:20:17,400 --> 00:20:20,480 Speaker 1: your time too much. Thank you so much for being 328 00:20:20,600 --> 00:20:21,760 Speaker 1: on the restless ones. 329 00:20:22,280 --> 00:20:23,560 Speaker 2: Thank you for having me Charlton. 330 00:20:29,040 --> 00:20:32,760 Speaker 1: Thanks again to Sander Sebastian Agure for joining the program today. 331 00:20:32,920 --> 00:20:37,760 Speaker 1: I admire the engineering focused approach Cleven takes to business. Clearly, 332 00:20:37,800 --> 00:20:41,080 Speaker 1: defining a problem and then formulating a solution gets right 333 00:20:41,119 --> 00:20:44,439 Speaker 1: to the very heart of engineering, and Sander's team have 334 00:20:44,520 --> 00:20:47,880 Speaker 1: taken this philosophy beyond the technical requirements of creating an 335 00:20:47,960 --> 00:20:52,359 Speaker 1: autonomous technology company. They use that same philosophy to identify 336 00:20:52,400 --> 00:20:55,520 Speaker 1: pain points in getting social buy in and in convincing 337 00:20:55,600 --> 00:20:59,680 Speaker 1: legislators to allow vehicles access to public roads. The solutions 338 00:20:59,720 --> 00:21:02,440 Speaker 1: may not always be as straightforward as swapping out one 339 00:21:02,520 --> 00:21:06,320 Speaker 1: sensor for another, but defining the problem clearly goes a 340 00:21:06,440 --> 00:21:10,960 Speaker 1: long way toward ideating a solution, and with Cleven's approach 341 00:21:11,000 --> 00:21:15,520 Speaker 1: to teleoperating, the need for a robust communications infrastructure is obvious. 342 00:21:15,760 --> 00:21:19,719 Speaker 1: It's only with access to high throughput, low latency connections 343 00:21:19,960 --> 00:21:23,680 Speaker 1: that such operations are even possible. And meanwhile, we inch 344 00:21:23,800 --> 00:21:26,880 Speaker 1: ever closer to a future in which autonomous vehicles can 345 00:21:26,920 --> 00:21:34,560 Speaker 1: become a reality beyond the test cases. I hope you 346 00:21:34,680 --> 00:21:37,280 Speaker 1: enjoyed this episode of The Restless Ones. Be sure to 347 00:21:37,359 --> 00:21:39,600 Speaker 1: join us for future episodes as I sit down with 348 00:21:39,680 --> 00:21:42,720 Speaker 1: more thought leaders in the tech and business sectors, and 349 00:21:42,800 --> 00:21:45,119 Speaker 1: be sure to check out our back catalog of episodes 350 00:21:45,240 --> 00:21:48,359 Speaker 1: to learn how Restless leaders aren't satisfied with doing something 351 00:21:48,680 --> 00:21:52,080 Speaker 1: just because that's how it's always been done. Until next time, 352 00:21:52,560 --> 00:21:55,560 Speaker 1: I'm Jonathan Strickland