
欧州の防衛主権は工場から始まる:Stark の Uwe Horstmann 氏と Johannes Schaback 氏
European Defense Sovereignty Starts in the Factory: Stark’s Uwe Horstmann and Johannes Schaback

欧州の防衛主権は工場から始まる:Stark の Uwe Horstmann 氏と Johannes Schaback 氏
Training Data
要約
設立2年で従業員約700人、ウクライナで攻撃ドローンを運用する欧州の防衛スタートアップ Stark の CEO と CTO が、Sequoia の Pat Grady 氏らと対談した。戦場に近い開発、自己資金での製品開発、量産前提の設計、ベンチャー型のプログラム運営を柱に語る。失敗した試験からの巻き返し、AI の安全制約、調達をクラウド契約のように設計する構想も紹介された。
この回のポイント
- ●Stark は「戦場に近い開発」「ベンチャー資金での自前開発」「NATO 部隊が使える認証・安全性」「最初から量産を前提にした設計」の4点で、18か月で数十億ドル規模の契約を獲得したと説明している。
- ●顧客は購入者(将官や高官)だけでなく、実際に使う下士官や兵士でもあるとし、木箱かプラスチックかといった現場の声が設計を左右した例を挙げた。
- ●Uwe 氏はウクライナ戦争の最大の教訓を、特定兵器ではなく継続的に革新できる「イノベーションのエコシステム」だと述べている。
- ●ドイツ連邦軍の試験での失敗後、寒冷な射撃場で交代制の24時間体制をとり、3回連続の命中を条件に2週間強で精度を達成したと語った。
- ●自律システムは NATO の責任ある AI 利用原則に沿い、居住地域上空では武装しないなどのハードコード制約や IEC 61508 由来の安全策を設けている。
- ●次の大きな課題として、有事の急増産能力をあらかじめ組み込んだクラウド契約型の防衛契約を挙げ、生産能力そのものが抑止力になると主張した。
章立て
18か月で巨額契約を得た4つの柱
戦場に近い開発、ベンチャー資金、使える製品設計、量産前提という Stark の成功要因が説明される。
将官より下士官、プラスチックより木箱
実際の利用者である兵士の声を重視する姿勢と、現場で得た具体的なフィードバックが語られる。
欧州に新たな prime が必要な理由と調達改革
欧州が自国防衛の責任を負う必要性、ソフトウェア・AI 主導の戦場、調達プロセスの変化が持続するとの見方が示される。
洗濯機並みの複雑さとプログラム運営
スタートアップ的な量産志向と、10〜15のプログラムを小さな企業のように運営する組織、共通の能力チームが紹介される。
失敗した試験からの巻き返し
連邦軍の試験での失敗を受け、全社で24時間体制の改良を行い3連続命中を達成した経緯が語られる。
人材確保と攻撃の流れ
多様な人材の集め方と、ロジスティクスから任務設定、自律飛行、目標破壊までの運用の流れが説明される。
垂直統合・量産・サプライチェーン
垂直統合と調達先の多様化のバランス、製造性を早期に考慮する設計、欧州内供給の現実性が議論される。
自律兵器のガードレールと将来課題
責任ある AI 利用、ミッション計画への AI 活用、競合との資本比較、700人への拡大、今後の技術課題が語られる。
契約による抑止と Stark の使命
急増産能力を織り込んだ契約設計の構想と、欧州・米国の協力に関する将来像が示される。
解説記事
欧州の防衛スタートアップ Stark の共同創業者である CEO の Uwe Horstmann 氏と CTO の Johannes Schaback 氏が、Sequoia Capital の Pat Grady 氏と Luciana Lixandru 氏の質問に答えた回である。設立から2年で従業員は約700人に達し、攻撃ドローンなどを展開する同社が、どのような考え方で防衛産業に挑んでいるのかが語られた。
成功要因は「戦場に近いこと」と「量産前提」
Stark は設立後18か月で数十億ドル規模の契約を得たという。Uwe 氏はその要因を4点に整理している。第一に、ウクライナの大規模チームや欧州軍との連携を通じ、実際に使う部隊の近くで開発すること。第二に、政府の研究開発費に頼らず、ベンチャー資金で製品開発を自前で賄うこと。第三に、認証、検証、安全性まで含めて NATO 軍が使える製品にすること。第四に、最初から工場での量産を意識して設計することである。「工場は兵器の一部であり、生産は抑止力だ」という言葉が、この考え方を象徴している。
顧客は将官だけではない
特徴的なのは、購入者と利用者が異なる軍事の現場で、後者を重視する姿勢だ。予算を握る将官に加え、実際にシステムを操作する下士官こそ同等かそれ以上に重要だと述べている。軽いプラスチック製の箱を持ち込んだところ、冬に燃やして暖を取れる木箱のほうがよいと言われた、という逸話も紹介された。ドローン群の操作でも、手袋をした状態での操作性や兵士の精神的負荷、小さな画面での群の可視化など、机上では分からない課題が多いという。批判を受けても翌日に改良版を持っていくことで信頼を得てきたと語っている。
欧州の環境変化と「洗濯機並み」の製造
Uwe 氏は、欧州が自らの防衛に責任を持つ必要性への認識と、ソフトウェアや AI 主導で安価に作れる新技術が戦場に現れたことが重なったと分析する。調達プロセスも、年単位から月単位へ変わりつつあり、それは強いリーダーの号令ではなく現実に迫られた構造的変化なので長続きするとの見方を示した。また、ウクライナ戦争の本当の教訓はドローンそのものではなく、継続的に革新できるエコシステムだと強調した。
製造面では、現場の専門家から「洗濯機くらいの複雑さ」と評された逸話を挙げ、月1000台から1万台、年100万台への拡大が現実的に想像できる製品が理想だと述べている。既存の大手(prime)は高価で精緻なシステムが得意で、今後も重要な役割を担うとしつつ、Stark は迅速な革新と大量生産が求められる領域に強みがあると位置づけた。Johannes 氏は、開発時間の短縮と量産性を同時に最適化し、製造性を早期に考慮する「シフトレフト」を重視していると説明した。部品も最先端品ではなく、上位水準で大量調達できるものを選ぶという。
ベンチャー型の組織と失敗からの巻き返し
組織は10〜15のプログラムを小さなスタートアップのように運営し、その下に航法、物体分類、通信などを担う「能力チーム」を置いて成果を全体に還元する構造だという。サブメートル精度で時速60キロの移動目標を狙うには、ハードとソフトの統合や計算資源の調整が不可欠だと説明した。
この文化を象徴するのが、ドイツ連邦軍の試験での失敗とその後の巻き返しだ。Virtus システムを大幅に更新した直後で十分な試験ができないまま参加し、結果は報道された。そこで全社を挙げ、射撃場近くにホテルを確保し、コンテナや発電機、Starlink を設営して3交代で作業した。3回連続の命中までは帰らないと決め、2週間強で精度を達成したという。Johannes 氏はこれを同社が「火の中から生まれた」ことを示す転機と位置づけている。
自律性・安全・抑止力としての契約
運用では、操作者が地域の飛行禁止区域や攻撃区域といった「意図」を設定し、システムが自律的に飛行して目標を探す。人間の関与の度合いは顧客の運用方針で決まり、確認待ちにも完全自律にもできる。安全面では、NATO の責任ある AI 利用原則を最初から実装し、居住地域上空では武装しないといったハードコード制約や、自動運転から借りた IEC 61508 関連の安全策を使っていると述べた。
Uwe 氏が次の大きな課題として挙げたのは契約設計である。有事の急増産を最初から契約に織り込み、クラウド契約のように需要の急増に対応できる形にすれば、そこに本当の抑止力が生まれるという。備蓄、サプライチェーン、保管、更新(ソフトは毎週、モーターは数年)といった論点があり、まだ誰も設計図を持っていないと認めている。
まとめ
この対談から見えるのは、防衛を「個々の兵器の性能」ではなく、現場のフィードバック、量産力、人材、資本、調達制度を含むシステムとして捉える視点だ。ソフトウェア企業の開発手法を防衛に持ち込む試みとして、日本のエンジニアや事業者にも示唆がある。一方で、数字や成果は本人たちの主張であり、独立した検証は番組内にない。今後は、量産を前提とした調達制度や、自律兵器の安全制約の運用が注目点になるだろう。
文字起こし(英語・自動生成)
I think what came together is obviously an understanding in Europe that Europe needs to take more responsibility for its own defense. You know, that is, of course, something that the U.S. have told us repeatedly. And they're right. You know, Europe has to step up and needs to be able to defend itself. Because that is our way of continuing to live in peace. It's deterrence, right? My partner, Luciana, and I are here with Uwe and Johannes, the co-founders of Stark, a neoprime serving the European defense community. Gentlemen, thank you for joining us. Thank you so much for having us. Thank you. All right, to get things started, you guys landed billions of dollars of contracts within 18 months of starting the company, which I believe is unheard of in the defense business. What did you do right?
How did that happen? So obviously, you know, this is something that we like to claim as a big success, but it's also probably a moment that is just optimistic for all of us because something has changed beyond just what we built in our company. And we're moving in the right direction, I think, in Europe. What we did specifically, I think, is four things. We did innovation really close to the battlefield, so really being integrated with units and soldiers who actually use the systems. Then be venture first, thanks to Sequoia and others, which basically means we fund the innovation, kind of the product development ourselves. We don't rely on some government R&D spending. We focus on designing the products in a way that they become really usable and mass deployable, so beyond pure innovation use cases, all the way to certification, validation, safety of the system, so really usable for NATO forces. And then number four, we designed the products, clearly thinking industrial scaling from the get-go.
Like how can we make sure that those are not only a few exquisite systems that, you know, stand around somewhere, but how can we make sure that, you know, factory is part of the weapon, you know, production is deterrence? Now let me ask you on point number one, close to the battlefield. I'm guessing that most military units would not let a couple of random guys traipse into their units and understand their needs? Like, how is it that you gained access to the battlefield so early in the life of the company? We do that with a large presence in Ukraine. So we have a large team in Ukraine, and we integrate in those units quite extensively. We also do work with the European forces. So there are more and more formats, I would say, where that thing is enabled. So you can connect with the soldiers. You can show up with them. You can go to the battleground. Well, like the testing grounds, the training grounds, then that's where you get the best feedback. That is the most important input factor for us. The capital we can get, you know, again, thanks to Sequoia and other people. But what we really need is that input of the customer, which is not necessarily the buyer, right?
The buyer is probably some, you know, high-level official. But the customer oftentimes is a relatively simple soldier, you know, on an operational tactical level. We need their input. That's more important to us than anything else. Well, and just to level set on what you guys do, what is it you heard from those customers, and what's the product that you've now given them in response? So at any point in time, we probably run 10 to 15 different programs, almost like a venture-like innovation portfolio. The one at the moment is a, you know, you would probably call it a strike drone. It's actually a munition, but it's like a weapon system that is very much software and AI driven. It's relatively inexpensive compared to what other weapon systems are out there. and we got a lot of great feedback on the usability. You know, we only begin to understand what does it do to the mental load of a soldier, for example, who is supposed to operate those unmanned swarms? How exactly does that work? How should the box be created? Should it be wood? Should it be plastics?
How do we visualize a swarm on a small screen so that the soldier can operate it? Earlier, you had this interesting anecdote about plastic versus wood on the boxes that go into the field. Can you share that anecdote? Because I think that really illustrates kind of the difference between the lab and the field. One thousand percent, because you often have those great ideas, how this product should be, and you came up with the idea on a whiteboard. And then you put it in front of the users, the soldiers using it in the field, either in real battle or in trainings and simulations. and sometimes it's very, very different. So, for example, we show up with this beautiful plastic box that is light to carry and just sort of look at it as like, what do we do with this? Why don't you give us wood? Because wood, at least we can put in the fire and it keeps us warm in the winter. And I didn't think about that. And there's many anecdotes like that. The feedback is so valuable. So traditionally you would say most important soldiers in the product development
and the procurement are the generals who tell you that's where the big budgets are and you should do this and that. And for us, we always like to say the staff sergeants, the enlisted personnel who then actually use those systems are maybe even more important to us because in a true startup spirit, you want to be close to the customer. You want to develop for that customer. The customer for us, yes, it's the buyer, but it's also the user. And those are not the same people in the military situation. And we're just beginning, for example, to understand, if you think about a drone swarm that you are now controlling, how exactly do you do that? Like, do you have a mouse? Do you have a keyboard? Do you have a touchpad? How does all of that work? How does it work when you wear gloves? You know, what clicks are okay? Where do you need to be really precise? All those things. What is the mental load? How much information can I post at the same time? We're only beginning to understand. and if you treat soldiers,
they are used to industry just showing up and dumping stuff on them saying like, here, this is the best thing. If you have issues with it, it's because you didn't understand it. You really need to change the route. You need to treat them as your customer. The most valuable thing they can give to you is their time and their feedback. And sometimes we show up and they say like, you know what, this is absolute shit. But you can really win trust by saying, tell us how exactly this shit and we'll show up again tomorrow or the day after tomorrow. We create a new version and we'll be a little bit less shit tomorrow. And that goes a long way. And some of the things that make me the proudest of this company is we gain like a lot of minds and hearts in the community by people saying, you know what? Those guys, they approach it from the right perspective. They have a soldier-centric view and they really want to build a product that's good for us. It's quite obvious for startup people. Probably everybody who sits here says, yeah, we want to build for the customer.
The customer needs to be happy. Net promoter score and retention and NRR and ARR growth. And for us, the translation to that is listen to the soldiers, build with them, build for them, and hopefully good things will happen on the procurement side as well. Can we take a step back? You mentioned that there is a favorable moment in Europe right now for building defense companies. And, Uwe, you and I have known each other for a long time. We started as venture capitalists in Europe, and you saw the opportunity in defense before other people. You were investing in defense way before it was obvious, I would say. And you also have a background in the military yourself. Can you tell us a little bit firstly about what came together in Europe and why there is this opportunity to build a new prime today? I think what came together is obviously an understanding in Europe that Europe needs to take more responsibility for its own defense. That is, of course, something that the U.S. have told us repeatedly. And they're right. Europe has to step up and needs to be able to defend itself
because that is our way of continuing to live in peace. It's deterrence, right? We probably understand now that the world is, unfortunately, probably, not as default peaceful as it ideally would be, but it needs to be defended. And the only way we can be safe is by deterring a potential attacker. So that understanding has really, you know, really materialized in people's minds. And it came together with a point where people also understand something's happening on the battlefield. New technologies emerge. It's software-driven, AI-driven. It's relatively inexpensive to produce. It is small scale. And those two points, you know, came together. And we give a lot of credits to the Germans and other governments. And Walt's understood, well, if that's the case, we should A, procure those solutions where the capabilities that we have are lacking, where there's a gap. And we also need to change the process of how we procure because you don't procure a drone like you procure a battleship.
You know, it's just different. So that did come together. And that was also probably like the starting point for us, coinciding us with the founding of the company saying, okay, now we need to lean in. And this is going to be like one of those moments where in a few years, we probably will ask ourselves, what did we do during that time? And for me, you kind of mentioned my biography, things really came together. Two big streams, like an interest in military and security, international relations, things like that. And then the technology part. So it was quite a clear moment for me. It's like, okay, I need to step in. Do you think that the procurement process changes are sustainable? Or do you think this is a moment in time for Europe, for Germany and other European countries? I think they are sustainable. Changes like that in Europe, they don't happen because there is like a charismatic leader who says, you know, we need to change. This is the way. Follow me. Here's a great narrative. That's not how Europe works. Europe works based on, well, I guess we kind of have to do it now.
It's reality kicking in. And the positive side of that would be hopefully changes are more lasting because they are based on actual structural fundamental changes. And, you know, now we are in a new world. And that's what gives me hope that we change the procurement processes that took years to months. And that includes the certification, which is a big, big part of what we do. It's a very boring topic in a way, but it's very, very important. I think those changes are there to last. because the real learning from the Ukraine-Russia war is probably not drones, no drones. It is about an innovation ecosystem. That is the actual wonder weapon. You know we always like to read on the internet like what new weapon system how awesome is it It doesn really matter The whole point is how do we as Western societies set up ourselves so that we can continuously innovate in defense with all the different ingredients We've already talked about the input from fighting soldiers. There's a talent aspect of it. You know, like our smartest minds should be willing to work in defense.
There's a capital aspect to it and all that stuff. I think that is there to last. I'm quite hopeful about it. What advantages do you guys have as a two-year-old company selling into the defense apparatus that a 70-year-old company selling into the same customer might not have? In that field, that segment of the market, the inexpensive, the AI-driven, the mass scalable systems, our strike drones come to mind, but also, for example, unmanned boats and things like that. it is we have a startup DNA like we build the prototypes like you would prototype in a startup pretty much and we build them from the get-go to be mass manufacturing items which is not something that defense typically does and when we walk into our factories we want just a few days ago had some operational experts and they looked at us and like oh this is about as complex as a washing machine
I don't know if they tried to insult us, but it is exactly where I want to be. If I tell you, hey, Pap, today we're building 1,000 washing machines a month. We need to scale this to 10,000 a month or to a million a year. You would say, okay, it's not easy, but it's doable somehow. So that's where you want to be. And the established primes are not necessarily great at that. They're really good at building those exquisite, very important, very expensive systems. And I think they still will play a big role. But there's a part of that industry where it's about rapid innovation, ongoing development, close to the customer, understanding the customer, and then building for mass scalability where I think we have a pretty good edge. Awesome. Johannes, can you say a word about the product engineering organization? And as Uwe was saying, like, how do you execute on kind of the rapid innovation close to the customer? Or, you know, it's not the thing we typically associated with hardware companies selling into defense. So say a bit about the organization and a bit about how you move fast.
At its very core, Stark is an engineering company. It's everything we do. And so the way how we organize the company is by building programs that can act and build very autonomously. And so, as Uwe said earlier, we're organizing the company almost and running it almost like a venture fund where we're building small startups in a startup. And so engineers who join Stark find themselves very quickly in a family, a program that is very autonomously and works in a very cross-functional sense towards the mission of the program. That can be fully autonomous maritime systems, that can be fully autonomous naval or aerial systems, strike drones, that can be in electronic warfare or that can be in software. And is there a platform layer underneath these different programs or how does that work? Exactly. And so the programs serve external customers and then there is a platform layer that we call capability teams. And they build capabilities that augment the ecosystem that we're creating.
And so, for example, GNSS denied navigation or object classification, target re-identification, communication links. There's various, you know, how we go about flight control. There are certain pieces that we then bring back as a compounding value into the family of systems, into the programs. And so as an engineer, you always, you know, either one can work on a platform and help the entire family of systems, or you want to be rather centric or focusing a customer and work on a frontline system. Which capabilities are you most proud of today? Extremely proud about being very, very accurate at hitting targets. That's what we're extremely good at. What does that take? It took us a very integrated approach to bringing hardware and software systems tightly integrated together. So just building a hardware system is good, and just building a separate isolated software stack that would be able to cope in a simulation, for example, is not enough.
But the actual sub-meter precision for striking a tank or a moving target that moves at a speed of 60 kilometers per hour requires to fine-tune and get the settings and the parameterization in terms of compute, in terms of compute budget, and memory allocation all perfectly well done for the system to fulfill its purpose. And that is what we're very, very proud of and that we accomplished. And you guys, you had a moment a year ago-ish where there's an experiment you're running and the experiment didn't quite hit the mark. And it's an experiment, so experiments don't always hit the mark, but it was reported that it was a big hubbub about how it failed. And you had, what, four weeks or something to turn it around and conduct it even more, pass an even harder test? Can you just say a word about, like, how did it feel to go through that? How did the team rally to get the job done? maybe the details on what was it you were trying to do? That was a forging moment for Stark. Stark, in many regards, was born out of fire,
but that was a particular moment. So just to get the context right, we had a major upgrade in one of our systems, the Virtus system, that was hardware as well as software. And as always, every engineer knows that. You have a regression. If you have an update, then the center of gravity is off or, you know, since the opening angle of the camera changed, you have to retrain some of your edge perception model. That's just how it is. However, the Bundeswehr, like the German Bundeswehr, asked us to participate in a very important experiment. And so we couldn't say no to that. And so we went there with a system that we knew is not at our ambition level, but at the same time we also couldn't say because we thought that the step wasn't so big. And so we weren't able to fully test. Now that's number one. Number two is also they tested that in an environment that was not ideal for the setup that we were at at this time. However, now, you know, the media was all about it.
They knew that they wanted to bring us towards the action to stress us out. And so that was in their mind actually not that bad. However, media caught this up and, you know, went all about it. And so what we did is essentially we did an all hands on deck meeting. We said, okay, everybody, this is a make or break moment for the company. This is where true engineering excellence will show. So the best minds of the engineering community at Stark has to come together. We booked a three-star spa hotel, which, you know, for the purpose of just being close to the shooting range where we had access to at the time. It was in November, actually. It was extremely cold. And so we worked three shifts around the clock. So while the flight test team went out, the collected data, they were sending that back. So we had, at the time, several containers set up. We had even, you know, mobile generators, Starlink.
We had like basically buy from DIY stores very, very quickly set up base in order to have the necessary infrastructure to collect data. And so that as the flight test team was flying, it was extremely cold. The software engineers took that data and continue to work optimizing the full stack flight test as well as perception. And so at the same time, some parts of the hardware engineers also helped improve the actuation and tuned the system out. And so in the course of actually only two weeks, we were getting to a hit accuracy that was perfect. But there was this moment, because we wouldn't hit, we said that we will only leave this place if we had three consecutive spot-on strikes. by then the tanks that we shot at were totally perforated they were already like we wasted a lot of systems on that and they're not exactly cheap right but that was clear you know no questions asked
you know money doesn't matter we have to get to the precision and so we worked all 20 hours shifts when the flight test team came back the hardware engineers came back repaired some of the systems We, you know, had to also, you know, since we were flying and shooting so much, we had to basically scrap some of the debris that we have from our own systems, put it back together in order to have a few more shots and stuff like that. And so that was one important, important stream that happened on site. At the same time, the simulation team helped us further improve the flight dynamic modeling. So we were implying AI systems at that time already to train flight dynamics modeling in order to improve the accuracy of the simulation so that our AI models can be trained within a simulation better. And so all these two work streams then came together in the end. And after two weeks, as a matter of fact, it was less than four weeks. There was this one moment where we realized, OK, that's it. And from there on, we've always hit. We've always hit. Johannes, if you're building a software company today, it's very clear where the talent pools are.
If you're building a defense company, it's not as clear. Tell us a little bit about how you find the best people and where you look. We look for talent in the classic industry, but also at universities. We're looking at startups. We're also looking at governmental institutions. We look everywhere because the talent that has to come together has to come from everywhere. It's such a breadth of functions that we need that if it's very senior or very junior, we have to bring all the greatest minds together. And so if it's an existing established prime, that usually comes with knowledge that is very, very valuable. But at the same time, the startup mindset is extremely and equally important. So they're coming from different domains and different cultures. How do you stitch all that together and get it to work cohesively, particularly as you guys scale so quickly? So the programs build products for the outside world, and they are cross-functional.
Within each function, there are function heads that bring cohesiveness and consistency across electronic engineering, mechanical engineering, and the various functions. And so they build communities of practice within the cross-functional teams. And so that how we share knowledge best practices but also tooling decisions AI approaches AI workflows skills very important MCPs across the company There definitely something of a cultural shift in the tech and startup community A few years ago, it would have been unimaginable for people to go into defense. It was not something you would do. And that is really changing. So we observe all over Europe and all the countries, basically. people understand this is a generational challenge. This is a generational task. It's time to step up for it. And we see people who have no touch points with defense before saying, you know, maybe this is something for me. And for them, people like us, for Stark specifically,
can be like a good first touch point, right? Because we are as much a defense company as we are a high-growth tech company. So we understand both worlds. And for people who for the first time really want to apply their technical skills, or their general skills into defense because they think, yeah, this is what I want to contribute for. We're a very good first home because we understand both sides. You don't need to have worked in defense if you want to work at start. Could you walk us through, as a way to illustrate the technology itself, a single strike from launch to strike? What's happening? What are all the different systems? What are the inputs and outputs? Can you walk us through that? For sure. I'm just wondering where to start, because if I was to start at the logistics level, that's what matters. So you don't win wars just because you strike, but it leads everything to the strike. And so working backwards from that, it always starts with logistics. And so we just heard about the wooden boxes that are important.
So how do you disassemble and reassemble systems? It's extremely important. And how do you transport it? It cannot withstand the shocks and vibrations, the pressure if it's transported by air or, you know, of a YSC. So there's various different effects, environmental conditions that a system has to withstand until, and, you know, in some cases it actually had a shelf life of, say, 10 years, until it actually gets deployed to the front line where the system is then assembled or put on a catapult. And then what happens is the concept of operations for all our systems is that an operator prepares the intent. So the system always implements and follows the intent. Think of it as a mission. And so the intent is modeled as, say, no-fly zones or a kill zone or certain elements that comprise the mission. And so when the system then takes off, it automatically and autonomously finds its way, evading no-fly zones, evading anti-air installations, and flies its way if it's in the combination with a swarm, communicating across the swarm what they see.
So they share situational awareness across the swarm, across the members. Would that work only if the swarm is all Stark products, or can it work? Is there some communication that works across different? We are very open to that. We are extremely open. We're going to speak probably about modularity as well. But just to finish that off and then, you know, the system arrives at the kill zone, starts looking for the system. And then depending on how the customers implement human in the loop, either the system fully autonomously seeks and destroys the target. Or if there is a human in the loop element, waits for confirmation by the operator and ultimately fulfills its mission. And so it sounds like there's a lot of high speed, very precise computer vision that is processing on the device. Correct. So the devices, the units need to be fully autonomous. That requires perception that this perception is fed into a reasoning engine to act upon the environmental perception and the conditions in order to fulfill emissions.
So there's a higher order corridor, you may say. Do you need to use your own ASICs to make that work? So we do buy various different components from suppliers in order to make that work. So there is an element of recency, as we always learn there is new target types. The war in Ukraine is changing daily. So there is a lot of modularity and flexibility built into the systems. and so yeah we're buying a lot of components that are procurable in large quantities such as infrared cameras or electro optical cameras bring them together sensor fuse them in order to get a situational awareness onto the system in order to act autonomously how do you guys think about where you need to be vertically integrated and where you want to leverage the ecosystem or the supply chain that's already in place. The governing principle for us is how do we solve the customer issue? And the scalability of output is a big customer issue. So that would be my first question
towards vertical integration. A strong argument for vertical integration is can we solve the scalability issue through that? There is, that's one force, kind of like putting on that. There's another force which goes exactly the opposite way in a way, which is it's so helpful for us if we sell those systems to other countries, if they can plug in their own suppliers, basically, because we want to root the production of those systems in the countries in which they're being procured. So that's kind of like the ongoing balance, I would say. Number one principle, can we solve the scaling issue? Number two, how can we plug in different suppliers to make everything more resilient? You've talked a lot about your strike drone product. What's your philosophy around being a single product company but being the best in the world at that one product versus being multi-product since day one. So we look towards where are those capability gaps. Those are basically self-described by militaries. They're like, hey, we have a capability gap here. And we observe them quite closely while they're being analyzed and formulated.
And then we look at them and we think, can we be a good supplier? Can we a bit provide? Do we have a right to offer a solution for this? And is there one in the market? And that's kind of like the first exercise that we do when thinking about the product portfolio that pretty quickly also gets you to multi-product because we don't see an abundance of offerings in the things that we do. So it's almost like a mandate. We have to try. We, of course, always have to counterbalance against the complexity and loss of focus of multiple programs. But I think our first initial reaction would be there is a capability gap. It is evolving. we try to contribute to the definition of that gap. And then we probably will always ask ourselves, can we help? Can we contribute? Because multiple things, you know, on the technological side, on the understanding of the concept of operation side can be taken, for example, from the aerial domain to the maritime domain, as an example. You know, what Johannes mentioned, there is an intent planning, a mission planning.
That doesn't matter if, you know, the asset is flying or swimming. There is navigation in, you know, denied environments where there's jamming. You know, both happens in, you know, in the maritime domain, in the aerial domain. There is object detection recognition. Again, the same. There's even some targeting, you know, that I'm homing in on a target. So there's a lot of things that we can use across domains, as you call them. So dimensions, if you will. Can we talk about a topic that may sound boring on the surface, but it's really make it or break it for a company like you, which is manufacturing? How do you go from zero to manufacturing at real scale? There are two goals when we start a program. We optimize for time to market. And second, we optimize for production readiness. And they are often partially competing because if you're optimizing only time for market, then you may end up relatively quickly with a product that you can show and demonstrate. But then it's very difficult to manufacture.
For example, a Formula One car, you only build one. You're very quick in order to be ready, but you hardly ever produce them in large quantities. And so from an engineering perspective, this has to happen. We shift left on manufacturability. That's extremely important because otherwise you accrue a debt that you have to fix later on. And that is really just the beginning because the moment you decide on which components you buy, supply chain resilience plays a massive role in the decision-making process early on as well. And so we may not always buy, to the analogy of the washing machine, the greatest and most leading edge camera, for example, but we buy those that are very, very good, top quartile, but actually procurable in large numbers. People in defense talk a lot about local supply chains. Is that realistic in Europe, or do you have to look at, say, China or other countries as well? I think it is realistic. It is realistic specifically for certain components where it is fairly simple and, you know, kind of like the first step.
Oh, yeah, here we can diversify and we can source from different suppliers and even from different countries. And, you know, conventional wisdom would be, well, is that good from a bottom line profitability perspective? But it's probably good from a resilience perspective and even more so if you hold businesses resilient. There are still certain components, I would say, where, you know, we have dependencies as the Western world entirely on, you know, for example, Chinese supply and so on and so forth. We try, of course, to work on that and we reduce it dramatically. I think, you know, the current systems have hardly any reliance anymore. But there are also things where I think we as an industry, all of us have to come together, and together with politics or militaries and figuring out what are the strategies on those things where raw chemicals, ingredients are needed that maybe go beyond the scope of just one company. It's probably more of an industrial coordination effort that's needed. Speaking of supply chain, I want to ask you about a very different part of your supply chain, which is AI.
and part of the future of warfare is not just this move from exquisite systems to attributable systems it's also the move from humans doing everything to more autonomous systems and we're kind of sitting here in the wake of the hugging face hack where these civilizations of agents so to speak broke out of their sandbox and wreaked havoc and so i guess i'm curious do you So given the power of the system and the inherent dangers in the product that you guys have, how do you think about the possibility of AI going rogue or, you know, it's somehow not working exactly the way that it's supposed to? So Sark has, since the beginning, implemented NATO's principle of responsible use of AI. And that entails that we auditing our own systems not only by humans but also by safeguarding or layers that safeguard the AI in a corridor to be restricted to implement the operator intent
That is what governs the entire autonomy stack at Stark, at every system, and also at every stage of the mission. And so that are hard-coded constraints that depending on where the system is, for example, if it's flying over a particular inhabited area, it may not arm, is one example. And so there are certain safeguards in IEC 61508 and several things we borrowed from autonomous driving that we have learned and that also found its way into our autonomous systems. More generally, I know that autonomy is kind of interwoven throughout the product and the operations of the product. Can you kind of sketch out, like when we talk about autonomous systems, what does it mean? Like where does the AI actually show up in the product or in the operations of the product? It shows up in every bit of the product, also in every part of the mission. And so whenever there is a decision to be made, be it on what the system perceives, how the system interacts with its environment, also how the mission is planned on the ground before the system actually takes off, that's a very important aspect because mission planning is or used to be in the past very cumbersome and long.
Can we talk about that? How does AI plan the mission planning? What's a good example? imagine that there is a target coming in very hands-on example and that the operator has three systems at his or her disposal and then the first decision to be made is how many systems do i shoot at this target what's the most cost-effective way of addressing this threat and so that's the first decision to be made and then once that trade-off has been made the in our case the ground control system called Minerva optimizes the mission planning in order to address this threat accurately and most cost-effectively. You saw a gap in the market and you went for strike drones, maritime drones, and other products. Why haven't existing primes, traditional primes, figured this out as well? I think they do to a certain degree. Sometimes more, sometimes less. Some of them kind of leaned into this and some of them, including some that speak to say like that's just not our DNA. We're not an organization that builds cheap systems.
We are a system that – so we're a company that is focusing on different ends of the market, and some are trying to. We welcome that. I think like one of the core ideas of what we need to do now is to start a competitive process. We want to compete against those people and their systems, and jointly we'll get better. I mean, at the end of the day, we're all on the same team, So some are trying, some are not so much, but we welcome all kinds of competition. Arguably, they have more capital than you. How do you think about that? Yes and no. If you look at, and that's maybe an interesting fact, if you just look at how much capital we intend to invest over the next 12, 24, 36 months, that's a sum of probably something like 600 million euros, significantly more than half a billion dollars, potentially much more. that's all going to go into research and development and products, you know, production capability built up. And when you just compare it to the orders of magnitude of spending,
R&D spending of the big European primes, and if you subtract all the R&D spending that is government funded, but the actual core R&D spending that those companies do, we're not way off. So that's not automatically a good thing. You know, we want to stay nimble. We want to focus on our segment of the market, but we want to do meaningful contribution. You know, what I said earlier about understanding the customer, building exactly what the customer wants, getting that feedback from the staff sergeant. It needs to be different. Training, iterating with them. That's what we intend to do. And I think we are in a good position with a startup spirit and now with a capital in our hands to hopefully build a real pillar of the Western defense architecture. You mentioned the capital you raise. you have done a lot in two years. You also went from zero to 700 people in two years. Is it chaos? How do you handle all of it? So first and foremost, the blueprints of the company need to be crystal clear. We spoke about that earlier.
Number two is, yes, growth always comes at the trite of that. There are sometimes hard decisions to be made. However, that is a process that is very manageable. We are improving towards our talent growth as always. Generally, we feel that the blueprint works very well, but we also need to be clear that the problem that we're helping to solve is now. And so we have to be fast. We have to make a dent now. And so being slow is not an option. And so allocating these 700, not all engineers, but the majority are engineers, to extremely important and valuable programs is key. And so this is what we set out to do. Are we at the end of the journey? Of course not. However, we're very determined to succeed in these programs. Is there a very hard problem you're trying to solve right now? Is there something? But what's on the roadmap that you haven't figured out yet?
So what we always see in Ukraine is that systems are flying faster. That is something that we are leapfrogging that we're going into as well a lot. We see that compute becomes more accessible. We're thinking a lot around how we can be further drive AI on the systems in a safe manner, but give it more capabilities to deal with, to be, for example, adjustable to targets that are on the naval side as well as maybe in the air, not only on the ground. There's various areas we're going into, but also in the electromagnetic space, there is a massive disruption happening thanks to software-defined radios and affordable compute that allows to bring down costs for sensors of the electromagnetic space. That's extremely interesting. I'm really interested in solving the next big thing, which for me is kind of like the contractual design, because I think there's a big deterrence possibility
in the way we structure those contracts because it's one thing that we sell hundreds of thousands or potentially tens of thousands, hundreds of thousands of those systems but what's really interesting is can we come to a contractual design between the government and us and potentially others actually that already kind of like has everything in place for the massive surge and scaling that we need if there's ever a hot conflict for us. Because that would be very interesting. All of a sudden, we maybe think about this more in terms of like cloud contracts, you know, with surges and so on and so forth. Because we get that done, that is probably where the real deterrence comes from. It's not about the individual capabilities of one product here or there. What would that look like? So there's some stockpile, presumably, but then they prepay for manufacturing capacity that you can just spin up in the event. I mean, there's a big question about the supply chain.
There's a big question about storage of systems. There's a big question about who updates those systems. You know, it's probably if you look at a drone at the moment, probably, you know, the motors, they're good for three years, but a software probably should be updated every week with new training data and so on and so forth. So how do we structure all of that? And that's something that's very interesting to me because that's one way how you can create real deterrence, I think. Has anyone in the Western world figured this out? I don't think so, necessarily. There's not a blueprint. The same goes for all things that we do in procurement and all things we do in product development. There's not like hundreds of people who have done this and now they can just teach us. I think we all learn together. And that, by the way, kind of crosses both sides. on the government side, on the military side, on the industrial side, I do think there is like an optimistic spirit of, okay, we need to figure out a few things because we don't have the right tool set just yet. But in that spirit, I think we need to solve it together. I don't think somebody has the perfect playbook.
Here's how it's done. Just copy this. We don't have that yet. But it makes the whole thing so exciting. It's at the forefront of what's technological possible. It is very clearly what's required to be able to survive in those battles. And bringing those two things together is kind of like allowing us to make a real contribution to continue to live in peace. What is the mission of the company? The mission is quite clearly we want to be one of the absolute pillars of our European and Western defense architecture. And that means, yes, we want to be a sizable company that specifically delivers the capabilities that we talked about. But we also want to help orchestrate a real innovation ecosystem. We want to be a good collaborator with other people. We want to work with the large ones, the small ones, our peers, with everybody. Because we think about the one mission for the company is very closely linked to all of our mission. That's very important for me to stress, that we want to be a pillar.
We want to be a dominating pillar, of course, but it's not a mission that can be achieved by one single company alone. And if you do achieve the mission, and we're sitting here five or ten years from now, what does Stark look like? What does Europe look like? What does the world look like? I think Europe will become a better partner for the U.S. again. There will be, hopefully, a new chapter of transatlantic cooperation. Europe is a helpful, strong, principled ally among each other and towards the U.S. and other partners in the world. And we live, hopefully, in more peaceful times where we go back to how the world was a few years ago. And hopefully we have de-escalated some of the wars and situations around the world and others have never flared up. Amazing. Uwe, Johannes, thank you for joining us. Thank you so much. Thank you. Thank you.
番組の概要欄(原文)
Two years after its founding, Stark has roughly 700 employees and strike drones in the field in Ukraine. CEO Uwe Horstmann and CTO Johannes Schaback argue that the real lesson of that war is not any single weapon: the innovation ecosystem behind it is the wonder weapon. They explain why Stark designs every system for mass manufacturing from day one, runs 10 to 15 programs like a venture portfolio, and views the staff sergeant who operates a system as just as important as the general who buys it. Johannes recounts the publicly reported failed trial that became a forging moment, as engineers worked around the clock at a freezing test range until they landed three consecutive hits. They discuss NATO’s principles of responsible AI use and the hard-coded constraints in Stark’s autonomy stack. And Uwe lays out his next big idea: defense contracts structured like cloud contracts with surge capacity built in, so production itself becomes deterrence. Hosted by Pat Grady and Luciana Lixandru, Sequoia Capital Chapters 0:00 – Introduction 1:03 – Billions in contracts in 18 months: Stark's four-part playbook 2:28 – The staff sergeant matters as much as the general, and wood beats plastic 7:42 – Why Europe is ready for a neo prime, and why procurement reform will last 11:45 – Startup DNA, venture-style programs, and "as complex as a washing machine" 16:27 – Born out of fire: the failed trial and the round-the-clock comeback 21:13 – Where Stark finds talent, and why defense is no longer off-limits 23:48 – Anatomy of a strike, from the wooden crate to the kill zone 27:22 – Vertical integration, multiple domains, and shifting left on manufacturing 32:53 – After the Hugging Face hack: guardrails on autonomous weapons 35:56 – Matching the primes on R&D and scaling to 700 people in two years 39:24 – Deterrence by contract, and Europe's next chapter with the US
出典・この記事について
- 番組
- Training Data(Sequoia Capital)
- 元の回
- European Defense Sovereignty Starts in the Factory: Stark’s Uwe Horstmann and Johannes Schaback
- 配信日
- 要約作成日
- 公式サイト
- www.sequoiacap.com
この要約・解説記事は、元の音声を文字起こしした内容をもとに AI(Claude)が日本語で作成したものです。 固有名詞や数値に誤りを含む場合があるため、正確な内容は元の音声でご確認ください。制作方法について
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