Welcome to Hanova Message back. Let's take a seat on the sofa of wisdom. Oh my. Yeah, that's how we call it because it's always smart and clever people who know how to innovate, who know how to use the right technology. Here we go. Um, great you're taking the time to dive a bit deeper in our joint activities. Why don't you just quickly introduce yourself so our audience here knows who's who and um which fields are you in?
Thanks Christina. My name is Rob Smith. I'm the CEO at Keon the supply chain solutions company.
Hi together. My name is Christina Vagner. I'm CTO, so chief technology officer and chief digital officer at OB, which is a space company.
Very good. And uh as you can see on the screen, so well done is my name is Peter and I'm looking after technology at Seammens and strategy and a lot more and many more.
Um yes and um you brought this round here together Peter and at the first glance it's quite an unusual um combination of companies. We got Seammens as a strong leading tech company. We got Keon, a champion in supply chain and logistics. And then we go on space in aerospace. We got OB, a pioneer of space and technology. What brings you together?
Well, uh, for one, these are great partners and, uh, we going to get there in in a second. It's all about trust and, uh, we know each other for a longer time. And so we together want to master the big challenges all of us are facing. And no matter if you are Keon, if you are H OB, if you are Seammens, we all have the same challenges. Obviously geopolitics is a big issue right now. Everybody's facing with uncertainties in the supply chain. Nobody knows what's going to happen. Then we have a demographic change. We don't find enough people. Skilled labor is really there's a massive shortage around it. There's the quest for being more resilient and more resourceful when it comes down to also um sustainability and energy efficiency. So we all face the same challenges and what we said clearly is um what we have to address those challenges is with technology. We're going to solve it by being not working harder but by being smarter by having access to all the data all the knowledge that is out there and this is I think this is what unites us. We want to be successful in the respective industries and uh we want to do this smarter.
Mhm. Um that's a great approach but that's probably much easier said than done. But let's dive deeper into the topic now. Um Christina I'm focusing on you now. Where do you see industrial AI having the biggest impact in industry?
So look um for us at OB industrial AI is a catalyst for actually two major areas. So the first one is accelerating engineering life cycle and then the second one is actually to strengthen mission operations. So our satellite or space systems and especially the satellite constellations they are getting more and more complex and yet the request is to to deliver much faster than ever to develop much faster than ever and this gives quite a stretch for us. So um when you consider the past development times that once spent above many years are now requested to be solved super super quickly. And as as Peter mentioned this is al this is not purely from a economic point of view. The reason for that is also that we have some geopolitical interests that we need to master and then here AI comes in. So AI helps us to condense engineering cycles for instance take engineering changes. So things which in the past took us like weeks are now condensed to days sometimes even just hours. And you know at the same time with digitalization you can improve traceability. You also reduce um efforts in simulation in testing. You reduce also human error and that is critical. It's critical because time is not only the economic factor but it's also a matter of geo like of technological sovereignity. Mhm. And then once the satellite is like deployed to the orbit, AI comes in again because it helps us to actually operate mission control autonomously on the one hand side and then on the other hand side it it also um helps us actually to find anomalies which is also essential. So we we clearly see that the future in space is actually AI-driven and software-defined. So in the end or in short let's say AI helps us to develop faster to operate more secure and also helps us to stay ahead of time.
And um maybe because you know space is a super document heavy industry by nature. So let me let me end with a bit of lighter notes. So there used to be this joke that if NAZA would have printed all the Apollo documents and stack those, you could build some stairs up to the moon. And and I'm super convinced that now with Arteimus, you would even need high-speed escalators, right? And it is the AI that helps us to to keep moving through the sheer complexity and volume fast enough. Okay, nice uh example here. Actually, I'm I'm pretty pretty glad that there is a lot of AI involved already in sending those satellites up there. But you definitely and here we come back to Peter again. You need to have trust that what you have more or less accomplished in regards of how you do that that this is a safe thing. Now Rob, let me come to you. Um where there is challenges, there is also opportunities. Where do you see the greatest of both in regards of industrial AI um help address at Keon?
Oh, thank you, Christina. Let me just start by saying how excited I am. We're announcing our Seammens and Keon partnership here. A strategic partnership connecting the real world and and the digital world and bringing that together in physical and digital twins is a very exciting solution to some very significant challenges in the supply chain. By design, everything is always in motion in the supply chain all the time and things are always changing. And today's supply chains are more complex and they're more vulnerable than ever. And to make them future proof, we need to make them very resilient. We need to make them flexible. This means we need to design optionality and agility and being able to operate and optimize that in real time. And the answer is a digital twin. The answer is bringing a physical twin and a digital twin to work together such that you can design the next supply chain node in the digital twin. All the mechatronics, all the software, you can simulate, you can emulate, you can validate the solution before you even build it. Mhm. The digital twin becomes the blueprint to construct the physical twin and then becomes the brain that operates the physical twin thinking faster than real time and then instructing all the actors in the supply chain, people, humans, humanoids, robots, AMRs, automation. What's the next optimal step? That's what physical AI, industrial AI can do for the supply chain. That's what we're doing for the supply chain. We've got and the real time is real impact, right? We've got an autonomous truck running in a full large scale 3PL facility, recognizing what's going on, running logistical missions, operating safely amongst humans and other machines there. And with the work we're doing on the solutioning suite, we'll be able to bring that large scale across the supply chain.
Wow. So, you're thinking of a fleet.
I'm talking about the in all the four walls and up and down the four walls, the whole supply chain being optimized all the time with with digital twins.
Wow. Very visionary. And um you definitely sound like you take it serious to be a good companion with the digital twin. That's for sure. Now Peter, all of that sounds promising what we just have heard. So what is still holding industrial AI back from scaling faster?
