E321 | EUVC Awards | Xavier Lazarus, Partner at Elaia Partners on the rise of AI in venture capital and future trends

1 Jun 2024 · 1 h 3 min

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EUVC Podcast Episode Summary: E321 | EUVC Awards

Episode Overview Title: E321 | EUVC Awards Guest: Xavier Lazarus, Partner at Elaia Partners Focus: The rise of AI in venture capital and future trends Broadcast Date: [Insert date if available] Hosts: Andreas Munk Holm and David Cruz e Silva

In this episode, the hosts celebrate Elaia Partners being a finalist for the Firm of the Year award at the European VC Awards. The conversation delves into the transformative impact of Generative AI (Gen AI) on venture capital, recent investments, and the evolution of the French tech ecosystem.

Key Topics Discussed

  1. Generative AI and Its Influence on Venture Capital
  2. Definition and Importance:
  3. Gen AI is not just about generating text or images; it is about creating actionable outcomes.
  4. Importance of accuracy in AI actions (e.g., financial transactions) versus mere guessing.
  1. Investment in H Company
  2. Recent Investment: Elaia participated in a €220 million funding round for H Company.
  3. H Company’s Focus:
  4. Develop foundational AI capabilities, emphasizing actions rather than just text generation.
  5. Partnerships with leading organizations like UiPath for Robotic Process Automation (RPA).
  1. AI Trends and Future Predictions
  2. Generational Shifts:
  3. AI will become ubiquitous, akin to how the internet transformed the world.
  4. Early applications of AI will likely be in B2B coding and educational tools.
  1. The Rise of Paris as a Tech Hub
  2. Historical Context:
  3. Development of the tech scene over the last 12-15 years, driven by public funding and entrepreneurial spirit.
  4. Current Landscape:
  5. A diverse pool of talent, investment from international VCs, and a growing number of tech startups.
  1. Elaia Partners and Its Strategy
  2. Firm Overview:
  3. Established for over 20 years with €800 million in assets under management.
  4. Focus on technology-driven companies, particularly in deep tech and digital ventures.
  5. Recent Strategic Moves:
  6. Formation of a partnership with Lazard to pursue later-stage investments.

Key Takeaways

  • Investment Philosophy:
  • Elaia employs a sophisticated portfolio modeling approach to manage risk and optimize returns.
  • Future of AI:
  • AI will redefine various sectors, particularly with coding productivity and educational methodologies.
  • Cultural Fit in Partnerships:
  • Importance of aligning visions and cultures when entering partnerships, especially with large financial institutions.

Quotes

  • "AI will become as used as computers and mobile phones."
  • "You can’t guess with actions; you have to be sure."
  • "The first step is embracing AI; the changes will happen."

Conclusion The episode presents an insightful discussion on the evolving landscape of venture capital, driven by AI advancements and strategic collaborations. As Elaia Partners continues to innovate and expand its influence, the dialogue reflects broader trends in the European tech ecosystem.

For more insights, visit [eu.vc](https://www.eu.vc).

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Transcript

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0:00Welcome back to another episode of the European VC podcast. Today I am talking with Xavier from Elias Capital. This is not just a normal episode. This is an episode where we celebrate Elias induction into the group of finalists in the Firm of the Year category. And I'm incredibly excited to have the conversation because of course, Elias, as many of you know, have achieved amazing things over the years that they have existed. So that's 21 years by now. They have 800 million in AUM and we're going into a conversation here, which I walked into with some excitement. And now having done it, I am incredibly excited about it because we're talking not to begin with about Gen.AI and taking Gen.AI into the realm of action.

0:49That's, of course, in connection to the large 220 million round that they just participated in in the company H. And then we're also getting into three other topics that absolutely blew my mind. First of all, partnership with Lazar, the big group to enable Elia to get into the world of growth stage. It's an incredibly interesting conversation about how the team at Elia thought about going into that partnership. And then we're talking about their proprietary fund model called EMI and the software that they use to really think about making bets that are different from what a normal fund model would necessarily state or at least edge cases.

1:36But also how they think about creating new funds, how the model should be and so on and so forth. Incredibly exciting part. And then we're talking about how Xavier has had to change his mind about how he built and works in his day-to-day from being a boutique firm to being a real franchise. So guys, this episode, I am blown away by. So I really hope you'll enjoy it as much as I did. And before we start the episode, I just want to give a massive shout out to our friends at Haines Boone for sponsoring the Firm of the Year category, because without sponsors like them, we could not exist. So please do not skip the next promo section spot.

2:16But instead, here, Haines Boone might be the right advisory firm for you, legal advisory firm. Here's a few words from our beloved sponsor. This episode is presented with our good friends at Haines Boone, proud sponsors of the Firm of the Year award. At Haynes Boone, they understand the complexities and challenges faced by VCs. Specialising in fund formation, they expertly manage the establishment of multi-billion dollar funds and innovative private fund products, ensuring their VC clients are equipped to attract global investors and excel in competitive markets. Beyond fund formation, Haynes Boone is deeply involved in the life cycle of startups, providing nuanced guidance on everything from entity structuring and capital raising to navigating exits through IPOs and strategic acquisitions.

3:04Their comprehensive legal services support VCs in maximising their investments and achieving successful outcomes. Whether you're looking to launch a new fund or invest in cutting-edge startups, Haynes Boon positions you at the forefront of the European venture ecosystem, enabling you to capitalise on opportunities across health tech, AI and beyond. Stay ahead of the curve by tuning in to the European VC Podcast. Join us in celebrating the art of venture capital with Haynes Boon, where strategic legal insight drives investment success. This is a union of values. United and determined we can serve as a model for other regions of the world.

3:57The nature of a problem requires a European response. Europe is a story of new beginnings. New beginnings. Let's start acting, acting, acting, acting, acting. Xavier, welcome to the European VC Podcast. Thank you for welcoming me. And more than just welcome, congratulations on being one of the few finalists in the Firm of the Year category at the European VC Awards. We're very proud of it. We hope we're going to win. Yes, yes. That's a very coveted title. So fingers crossed on that. Superventure is just around the corner. So we're recording this just before. So that's going to be incredibly exciting.

4:38I think, you know, just for the audience, I've said this in the intro as well, but I think this is going to be a really cool conversation because we're going to talk Gen AI and how we take Gen AI from just generating text and pictures into actually generating value, creating actions. So maybe let's actually just go right into it. Xavier, you've just announced a large investment, a 220 million euro round into each. H company is what I like just sometimes when it's a too simple name, then we struggle and have to put the H company or something around it. But H is the name of the company. First of all, congrats on the round.

5:17Very exciting. Could you just share with us what is H all about and why did you nest? So H is part of this next generation of startups dealing with AI, new kind of AI. So it's Gen AI, but not only Gen AI. And they are heavily funded because, of course, they will be working on the foundational part of a part of GNI, and which is mostly not to compete with the LLMs and the large language models that are clearly around the GPT kind of usage, but to create a new usage, which is about actions. So to try to make it simple, GPT kind of companies are investing a lot in capacities to digest more content and infer with more computing power to guess better the answer towards any questions.

6:17So when you get a question in prompt, then they guess the answer. So guessing usually is very strong. with the results. And for most of the usages, like chatbots and copilots, etc., it's very more than good enough. Yet, from time to time, we need to take an action. So if you want to make a difference between guessing and taking an action, let's take a computation in math. If I say 2 plus 2, if you have read all the math books, you can guess it's 4, the answer, but you never know if it's really 4. But if you have to bet at the end on something that is real, you want to be sure that it's full. So action needs to have accuracy at a level where guessing is not the right level.

7:03So why is that important? Because some actions, especially in the business side, could be just do a wire transfer. And with wire transfer, you have to put an IBAN and a number. And if you get the IBAN wrong by just warning it, it's not a good thing. But at least there will be a corrective mechanism for that. But if you get a zero more or less in the transfer, then it can be really, really, really bad news for you. So when you do an action, you can't guess. You have to be sure. When you do an answer at the question of chat GPT, you can have a guess. So this is what IH is trying to tackle by taking the same kind of smarter agent using large angle model capacities, so creating agents that are smart, much smarter than before.

7:48But then they had some kind of rules of interactions, which would be like a game they play. And this game, they learn how to play it to get the better result. And the better result would be the correct action. And this is why, at the same time, you have experts of LLens, but also the team from DeepMind that was behind the algorithms that beat LissiDol in Go. And you have partnerships with UiPaths that have zillions of data, of actions to learn from, etc. So this is clearly a very different game because at the end, what they want to do is things that are simpler than what whichever GPT will do, but they need to do it right, period.

8:30Yeah, so that's the point when you incorporate this or work with this. You'll have a, typically as an enterprise, you'll have actions that are recorded basically in the company infrastructure that you then teach on first. which then gives you that predictability afterwards. Could I ask you, so just to understand age, do they focus on enterprises or SMEs or is it the foundational layer of having this capability and then someone else is meant to build on top of it or how does that work? So the imagination has no boundaries because of course you can have actions which are using an Alexa kind of device that you discuss with, and they don't just set a timer.

9:22They really do actions for you. You could be at B2C level. You could be at SMB level where there is a need of personal assistance for small companies which can afford one. But also enterprise will need a lot. This is called the RPA, which is the robotic process automation. So it's a sector that was really developed by UiPath, which is a global leader. FPA is already for enterprise-ad usage. So what they will start is they will start by, as many cases, the most complex one, which is the enterprise case. And this partnership with UiPath will be great for that, and there will be other partners, of course.

10:02And if you solve this, you have solved the most integrated and complex thing. And then you derive, and you can go to SMBs, then small offices, and then maybe at the end individuals. But the idea is to start with enterprise and focus there because if you can make it work there, then you've done something that has value. Well, they built something similar to OpenAI where you have a use case inside ChatGPT, but you also have multiple partnerships where you actually interact with ChatGPT, but via someone else's tool. Is that a similar type model? well first you should ask more to Charles the CEO than myself but I can't neither tell more about their plans or even maybe things are yet to be built but what I can tell you is something which is what happens usually in software so either you create a platform that is generic and at the end you discover there's one use case you focus on it or you stop by one use case and you discover that inside you have a platform so anyway you'll get to a combination of a platform thinking plus a use case.

11:09So the question is where you put your focus. But here the modeling and the results of the modeling and absolute value will be important, such as in LLMs. But with no usage, there's no value. So there will be built-in usage by definition. But as far, will they go to a product using internally the models that sit, or will they separate the two layers and put them in the market? It's too hard to say, but there will be all options on the table. Yeah. OK, there's multiple things we should talk about. There's the size of the round, the dynamics of that, thinking through that as a fund like Elias. I'll save that for last.

11:47I think we should touch on it because it's something that everyone always discusses or thinks about when we see these types of investment. But I would love to stay on the tech a little bit and maybe rather the use case side, because I'd love to ask you personally, what mission are the timelines for AI to really be acting on our behalf? Is that, will we see the first real use cases in a year or is it more further up? I think that as always, there will be too much of hope and the change will not be visible, but it will happen. Clearly, you could say today that Gen AI is just one use case, really, which is ChatsGPT and content creation so far.

12:40And the value of it is very hard to assess yet. But will there be something like from a day to another change your life? I don't think so. Yet what we're seeing is that this is the assumption of something that will be spread everywhere. There was a paper saying that AI is water. Water is a basic component that goes everywhere, flows everywhere. I think that AI will become as used as computers and mobile phones and internet. There would be no usage of internet slash devices slash mobile internet without AI. The thing is that today, internet has changed your life. We wouldn't even be chatting today.

13:25We need a computer, we need a bandwidth, we need software, we need algorithms of wavelets to do the compression of the... We did tons of things that are so common now that we forgot that one day there was a researcher, Yves Mayer, here, who created the world-led theory that led to this MP3, then MP4, etc. And all these kind of things started in the lab. And at some point, somebody must have said, but what did we change our lives? I don't know when it happened, but one day, something must have happened because now today, we couldn't do anything without it. So I think AI will be pervasive. So there will be a deception because we won't see it because we don't see anymore this compression of wavelet.

14:10But without this guy doing the math somewhere in the 80s, we wouldn't be chatting today. So this will be the impact of AI. We will realize how much it changed our life when it's too late to see how we change it. It's just going to be AI. Where will we see the first glass of water, do you think? Where will we see the first applications? My belief is that it will be visible in the B2B side on coding. That's my belief. Is that the productivity of coding will dramatically change because I think that's the most applicable part of GenEhi besides ChatGPT. So all the chatbots, et cetera, are quite visible today.

14:51But besides that, there will be a massive change in how do we produce coding because coding is just a language, a quite structural one. There's still some technical barriers, but the day LLMs produce quality code, then there will be dramatic change of organization of software and there will be more software. Every small company will be able to create good software, etc. So I think this is the biggest wave that will happen first. And the other one is education. You have an education, two things. You have a professor that is here to coach you and then you have an assistant professor that is here to teach you.

15:28And this part will be done by AI. Repeating exercises, making you think, correcting what you do, etc. this will change and hence the professor will be back to what they need to do is pedagogy. And I think that education will be dramatically changed too. Those are my two guesses personally. I love you say education. So from the political standpoint or whatever, ideological standpoint, I used to be actually university president at my university, student university president. And thus, for that reason, higher ed is really something I care about. And I think it's a very broken system. Luckily, we don't have the same issues that they do in the U.S.

16:10from a finance perspective. But just how we deliver education and the quality of it could be radically improved. And then on top of that, I have a six-year-old who, since ChatGBT4O came out, he can now, because, you know, kids, they start a sentence and they pause it. Then they change like, you know, they completely change what they were about to ask the champ. All right. So before the 4-0, he couldn't interact with it. It broke too often. But now we all have kids, right, that are curious and they come and ask you questions. His questions typically go from what would win a jaguar or a cheetah if they got in a fight and it was dark.

16:54And then I'm like trying to come up with a good answer to that. Right. And then and that, you know, as a parent, happy to answer it. But it's very hard sometimes to spend 45 minutes answering just the barrage of those questions. So seeing him now, seeing him now with chat GPT, just saying that, can I could I borrow your phone? I just want to I just want to ask some questions and then seeing him run off with it and sit there and then have a conversation for 30 minutes. just asking all kinds of questions that kids have asked forever, right? But they've never gotten answers to. They've gotten answers to the first three.

17:31How do we use that? What's the human part of the interaction? What's the machine part? How do we ensure that the content delivered is a decent one? Because again, if you ask who invented something to a charge of it made in the US, made in Europe or made in China, the answer will be different. Yeah. How do you ensure that you want the content itself? So sovereign education, everything. So there will be tons of questions, but to be fair, I'm happy to invest in everything that will go around the coding. But for education, it's very complex to address because this is touching much more than just business, much more than just, but I do believe that it will change our life.

18:16Do you think this is something I'm like, for the first time ever I am excited about buying Christmas gifts because I'm really hoping that this year will be the year where I can buy a teddy bear to my kids that can actually talk to them do you think that will happen this year or next year I think this year will be a bit too soon because what you have is you haven't solved the model of the cost of the answer so how much should it cost a teddy bear because the technologies will not be yet frugal enough in energy I'd happen to have a$20 subscription like I have on ChatGBT on a teddy bear yeah but then the teddy bear needs to have a CPU well it's a smartphone so teddy bears start to be quite expensive in the market But again, it's like water.

19:18If you don't have water, it's very... If you need water and you don't have it, you can pay a lot of money. The day you have it everywhere, the cost will be the cost of water, which is still expensive in a way. People make money on water, but it's still just water. So one day there will be capacities because we have, you know, there's the Wi-Fi networks slash the 4G networks. The cost is now close to zero for many interactions. There will be, again, an infer cost that is reasonable. There will be lighter versions for kids because, again, you don't need to know everything on earth to discuss with a kid.

19:54So there will be solutions for that. I don't think that this Christmas will be there, but I'm pretty sure that my kids are too old to get, so maybe my grandkids will get it, but you can see that. If anyone out there is building a retrofitting app of a phone that can be stuck inside a teddy bear, or it's just chat TPT that works direct, I'm going to respond. Five or six years ago, which were teddy bears that were costing nothing, but the face were for all phones and you just had an Android app putting the face and doing smarts, et cetera. Now with a bit of networking, you can even talk and answer, but I saw that it's just a very simple teddy bear where you just take the ball with the data.

20:39So yeah, there will be clever people doing clever things for sure. They're creators of the Teletubbies bears. They're the ones that's going to do that because they already have the screen on there. That's perfect. Beautiful. This is good. Okay. Let me go somewhere else and ask you, ChatGPT, there's been quite some rumors about ChatGPT5 potentially being the one that will have actions incorporated into it. What was your thinking in Mastingen-H about the competitive situation from the very large, very well-funded, established LLM players? The question would be what kind of actions? And what is the cost for the one expecting the action to happen if the action is not the right one?

21:33If you take bookings for your dentist, that's okay. if you take actions that could cost a lot to your company that is not okay I don't believe that the software industry is dead I don't believe that there would be a single system that is so clever that you don't have to do anything but just interact I don't believe I believe security is an issue I believe sovereignty is an issue I believe data is an issue I believe usage is a barrier I believe simplicity will be at the end of the game. There are still companies making tons of money on systems that are completely dumb and useless. But you need them because they're reliable.

22:17Look at Excel. Excel is a software that I started to use 30 years ago. It's a bit more clever, but it's more or less the same loops on the same usage. Everything they use was already there 30 years ago. It's immutable. Why? because it's just reliable, because everybody knows how to use it, because students learn how to use it, et cetera. So one day, do you have ChatGPT doing Excel tables? Maybe, but there will be an hard time for any company to get rid of all this legacy of Excel and just go for ChatGPT interaction to say, make me a table for a new deal in H. I would never send that to a ChatGPT because you know what?

22:56It's overkill. And by the way, if you give me the answer, we'll give it to anyone, so there's no competitive advantage. So the idea is a single system in the world is good for Hollywood to make Matrix kind of movies, but in real life it won't happen. Unless, at least I will not see the new. Well, so I think that they will go further, further, further. And every time, the issue with ChatGPT is to build a company that is doing an extra mile for them. Every company doing an extra mile for ChatGPT will be someone in trouble because every generation will do the experiment itself. What you have to do is do something different.

23:37And again, if H were here just to make LLMs a bit more clever to address actions, I wouldn't have invested. Because at some point, the GPT will be. Yeah, I was about to ask you, so what you're saying there is actually to you an investment in, or you're saying that an investment in an applications company is not something you would do if they just build on chat. I didn't say application. is something that the next mile. For example, companies that help you do better prompting. Yeah. Sorry, it's dead. A company doing chat-like functionality is based on GPT-2 or whatever, or 2.5. This is killed. But application is different because application, there's integration, there's value, there's users, there's a lot of know-how in UX.

24:21So application has value. But doing the extra mile of being a bit more clever than JGPT is something that is not a lastable position. Yeah, I do. I can get it. Okay, then let me ask you about the impact of AI agents. Which jobs do you see affected? You said software coding is definitely going to be one of the places. So obviously that's both going to change. It will make them just massively more effective. but we have such a shortage of talent that I don't see anyone losing their jobs I think there will be just more usage of software development and a software developer will be able to do more it's like someone making translations you could see that Google translation will kill the translation job it's always translating much more things and a translator will just correct 20 times more content that will be pre-produced by the machines and just correct them compared to before they had to do everything by themselves.

25:32So productivity will not kill jobs. It will make things more available. In some cases, it may kill jobs. On the Ben and Mark show by the Andreessen team, I thought they put it very well when they said, yes, when we moved from horses to cars, we did have the blacksmiths that were doing horseshoes. Yes, some of them were wiped out. But all in all, the cost probably increased the number of employees. Who do you see are the blacksmiths of AI? I think that AI is a robot. It's a robot of a new kind. The robot already took one part of the job, which is in the plant factories and industry. And what you saw is that in Occident, in Europe, jobs moved to either plans with robots, so less jobs in appearance, or they went to low-cost countries because to compete against a robot, you can't pay the people at a normal wage.

26:37So we saw it happening. So there were the blue colors getting rid of. And now I think we're touching robots in the white color, light value white colors, some bank middle employees or some kinds of low-level consulting firms, et cetera. But there's an interesting thinking there. Is that, okay, it's going to happen anyway. You know what? It's going to happen. So what's the country in Europe, the only one that kept an industry? Is it the one who prevented robots to happen? No, it's Germany, which has the highest level of robotized plants on Earth. So if you're going to survive, it's not fighting against innovation.

27:16It's just ingressing and being the better country, the best country using it, and then getting a competitive advantage. And in GNI, about producing, Europe has talents. France has strong talents. So if we own the IP and start to create the usage, maybe this time we'll not be completely wiped out by traditional digital waves. But this is clearly something that is very important, is that we need to embrace it, because what will happen will happen anyway. And if you look in industry, again, Germany made it because they said yes to robots and didn't fight against productivity. But they're the only ones who kept their industry and their workers.

27:54Xavier, you are one of the founders of Elaya, which is one of the largest and most successful firms in Europe. So I want to ask you policy-wise, because what you're discussing here is a question I could imagine that you'd be talking to policymakers about once in a while. What do you see moving? And do you see France taking good steps? Any other governments that you've spoken to that are asking the right questions? Where do you see them, that they're knowledgeable and that they're forthlooking? They're a bit more conscious. that they are facing a revolution that they need to understand and maybe regulate a bit, but they can't let it happen elsewhere because they let the other happen elsewhere and they see the results now.

28:49For cloud computing, for social networks, for many things in their infrastructure. In digital, we are way behind compared to where we could be. So we have this vision in Europe that we regulate a lot, and sometimes we regulate for the rest of the world. If many kids in America don't choke on toys with little plastic parts, it's because to sell them in Europe, you need to avoid that. And so manufacturers say, well, if I did it right for Europe, let's sell the right thing everywhere on Earth. So most of the countries on Earth, including the U.S., have outsourced regulation power to Europe. It costs us a lot of GDP.

29:35So this time, part of the regulation will come from us as always because we love that. And especially in the French, we love regulation. We live for regulating things. So we know that. But we try to say, yeah, but be careful that this will not prevent innovation and prevent the creation of larger companies in Europe than we did before. So our fight is not against the fact that this has to be in a way or another understood and regulated. It's don't kill us. Don't let us be a side effect because the run is not over. So let us run the race and the race is not over. And also, for once, especially in France, we have a talent pool that is unique.

30:26this H company, PulseSide, Mistral, FlexAI, all those companies, they were born in Paris for a reason. So let's try to make it better that time. And I hope that they're listening a bit to us. Maybe you can speak a bit to that, the ecosystem that has been built in Paris and which became clear to everyone when we saw Mistral announced and the whole coverage of that across the European tech industry. What are the moves that allowed you to now have a very strong AI tech hub? So it started roughly around 15 years ago, a bit less, maybe 12 to 15 years, when there was the second wave, I would say, of entrepreneurs.

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31:18The first one in 2000 was a small wave in France. But you're a second wave with more seasoned people investing, more seasoned entrepreneurs starting to repeat or to advise. And then you have major public effort to help the ecosystem to just exist. So there were money from the state into seed funds. There were BPI, which is the French state bank, that was created by just merging everything that we had for entrepreneurial things. There were some pushing into private money to come. There were then some tax understanding changes that, you know, flat tax on capital gains, better option policies in taxation, etc.

32:06So you have created waves and waves. And it's lasted now for three governments, well, three presidents in a row. So even if it's Hollande, Macron 1, Macron 2. so it's something that starts to become a pillar of our development and this gave all this French tech part and because of the momentum of technology globally and also the momentum of AI in Europe etc then we had on top talent pools but you had on top early customers, you have now international VCs betting early in our companies you have people like us who have become now more platform and who can really make checks bigger and bigger but also earlier and earlier years.

32:47So everything has happened, but it's a long process. But there was a massive public impulse to promote and help the people who were, we were not a handful in 2012, but we were maybe 100 people really working hard to create an ecosystem. Now it's tens of thousands of people just playing there. So really it was about take promotion, change of laws, and letting also some people, the private market, because it's a really private market thing. Yeah. They let the private market happen to. And it's incredible that it's moved that quick, that it really started forming just 12, 15 years ago. It's incredible looking at the strength of it now and the investments we're seeing.

33:32You said bigger and earlier. That's a good segue into talking about the ATI's round then. 220 million euro seed round. That is a big one. When we saw Mistral, everyone was shaking their head saying, what are these guys thinking? I haven't checked at all if anyone said that about the age round. But it's definitely something I could imagine some would say. And I'm sure that it's also something you've been debating inside. How do we make this big bet fit into our portfolio model? because we all know, you know, doing if, you know, if you take, if you do a too big round, then you're overexposed. If you go for a too big percentage, right, compared to the full fund size, or you go the other way and say, well, we don't want to, you know, we don't want to fuck up our fund model, but then we're also going to have to say, okay, we're happy with 1 % or whatever.

34:31So how did you think through this? And so the answer is quite simple, is that you need to be sophisticated in your fund model. A fund model for many of our competing friends is just an Excel with a few cells and you have, you know, in CIDA, you need to have 15, 17 % of the company for that check, etc. But if you put that in math, which is, by the way, a decent sample of what could happen, then you don't realize how much you're concentrating on things. How much you are focusing yourself on something without having realized how much we're focused on something. So what we did is that, that's my mathematical background, we used the little data that we have and experience.

35:16And since 2012, every new generation of fun, we do a backtesting reward, review our strategy. And now we have a very sophisticated model called EMI, E-M-M-Y, like Emi Nauter, the German mathematician. You can create portfolios, you can simulate many things and use a very useful tool, normally not for VCs, which is the Monte Carlo approach, which is to play a million scenarios, randomize and see what happens for the fund development, deployment and for the fund returns. And this is how we make our decisions. The model will never say what we can do, what we should do. It says what are the impacts of whatever we can do.

35:57so when we are facing a usual question we don't need the model because this is core strategy we do the math by heart apply the thinking but actually it was decided previously but when we have a weird question yeah a natural case partial exit on a very large company should we take it on or at the same time we have two companies being acquired by PE firms should we roll over should we exit which one So this kind of question, which is portfolio management, then we simulate and go. And for companies like H, we did that because it's out of our envelope of modeling. You shouldn't make a fund with only H kind of companies unless it's a fund that you don't care to lose everything because it's the risk you're taking.

36:49So what we did is that we did finally two thinkings. One is that we realized that one company shouldn't be enough. so we are creating a mini portfolio of Gen AI bets inside a larger portfolio. This is where we have Flex AI for example but we have other companies there, we have Gscal etc. So we're creating more bets and all are different but in a way or another we are indexing a bit more I would say. And then what we do is that each bet that we do is calibrated on the return that it can provide under not completely crazy scenarios. so of course you could create a scenario justify everything with that and what we saw is that in companies like H you go big or you don't play because if you try to apply rounds regularly with gross valuation etc you realize that you're going to put before you know if it's working or not a lot of money anyway so what the H manager was doing he said hey, instead of doing four rounds let's do just one because everyone is going to put the money anyway so let's put it day one because we need it for computing power this and that is the risking a lot we will have results for sure with that and then you know what everybody takes the risk to just say hey it's not working period but if it's working then at the end you have a scenario where you can have a strong return for the fund so we model we just modelized it and say hey it's good enough and inside this portfolio of generic risk inside this portfolio it makes sense but it's portfolio management and construction And this is where your roots as a VC are key.

38:28Because either you are a gambler, and you know what? A gambler is lucky and lucky. It's better than a casino. You have a better chance to be lucky in VC, but it's still lucky and lucky. So it's very hard to go to institutional people and say, give me money because you know what? I'm lucky. It's really hard to sell that one. Even if it's true, it's very hard to sell. Or those are the risks I'm taking. this is what I'm trying to achieve and by the way, I'll never make a 20 times the money back fund normally. If it happens, it's that I've been more than lucky. It should not happen. Yet, here are the reasons you're taken.

39:09Here is why the capital is quite productive. Here is why I believe I do a minimum return. And it's all about portfolio management and construction. So it's understanding in our VC world, people believe they are just pickers, stock pickers and gamblers and I think it's a very bad idea. We are just money managers and there's an industry called asset management doing it properly. Yeah. Can I ask you a couple of things? Your EMI simulator, that's a proprietary Alaya developer and not something that you're productizing or sharing with anyone? We are not doing it for one reason is that we believe it's a competitive advantage.

39:53We believe that makes us better portfolio manager. We don't select better companies because of that. They would never tell us this company is better. But I do believe we are optimizing returns with the same portfolio. We'll do more returns than others. Which, based on the data that just came out recently, I can't remember the fund name now, but I think everyone saw it, right? That the best funds, the funds that returned above 5x, the real difference between them and the others was not really what they picked, but it was how big of an asset concentration they had in those winners. Yeah. Which is exactly.

40:30And by the way, you don't have a crystal ball. So day one, you can't say this one's going to be better than the other one. No, no. You may have a guess. So it's really, if you go back to the gambling, you are playing the lottery, you pick six numbers. The only thing is that you can bet more on your ticket at every number out of the ball. So if you have the first number, your lottery ticket is a bit more likely to return. So maybe you bet more. If you get a second ball, good. Then maybe again you should bet more. So it's how you bet over time and when. And clearly there's a moment where you should stop betting.

41:09There's a moment where you should bet more. And it's clearly something that we have put in math because principles are simple, but decisions are not simple and you need to have the ICA to agree. One final question on this front then. I don't know if you have disclosed to the world what you ended up investing but if you did because we know there's that round size but is it public how much you invested? No, we don't. I would say a strong ticket. Yes, meaningful ticket. At the level we can manage the risk at our fund level. The ticket we decided was not about the money left or the available, we decided using our model that we should invest first ticket this amount.

41:53And we went to Charles and said, is there room for it and what kind of relationship we can establish with this ticket? It's not a small one, neither for us, neither for them, but we don't disclose. And the latest fund you invested out of is then a 200 million euro one. It's actually a co-investment from two strategies because we have this one and a new one we're raising called Deep Tech Seed, number three. So that's co-investment because at the same time, we qualify for a deep tech company. Because if H is not deep tech, what is deep tech? And also a digital company, quite exciting. So we could qualify to two strategies.

42:29So it helps us also increase our ticket by making funds co-invest. So Xavier, from this, I think we should go directly into then explaining a little bit more about Elia and where you are. So maybe you could give the big introduction to Elia. assets under management and that type of thing. And then what really makes you stand apart from other firms? And then we'll dive into that. So we are a VC firm with 21 years of existence. And we are known and quite focused on companies with strong IP assets, a lot of technology, and more than half the portfolio is qualified as deep tech companies working in a B2B model kind of go-to market.

43:17This is what we did in majority since day one. It's not a recent trend at Delia. And this is our only focus for the last seven, eight years where we have these two strategies. One is digital ventures, which will play in the digital world. So a lot of software is strictly, but every model using IP and software-based. And we have Deep Tech Seed, which is dedicated to seeding companies out of university or created and launched by PhD and researchers or using key research results to create something that will scale. So those two strategies are currently representing 800 million capital under management.

43:57And we are raising every other year a new fund and clearly growing. I think at some point in 2025, we'll be crossing the billion threshold. And clearly here, we are developing our strategies by adding also more technologies. So we started purely digital for many years. Now we do also biotech, medtech, energy, materials, et cetera. And we also are scaling by being more and more present in investing in Europe. So we do this historically in France, then Spain, then some Israel deals, then German deals, then Benevolent deals, et cetera. We did some UK deals too, of course. Even it's very competitive.

44:41So currently, UK is not a big center of focus, but we did so. So we're expanding also geographies. And the other thing we will do is also expand stages. So currently, we can do checks from a few hundred K co-creation and go up to 10, 12 million at the Series B, kind of. And we have announced in April a partnership with the Lazar Asset Management Group, this large financial global institution to create together a new management company called Lazare Capital addressing later stage deals so checks between a few tens of millions and several tens of millions at the end of the day to fund series C and above kind of companies and at the same time Lazare is investing into Elaya to promote our existing strategies to fund our own business and to grow and we are also having like this massive global distribution agreement, because Lazare is very well known for its advisory business, but people don't know that they represent 240 billion of assets and management listed funds.

45:48So they don't have a lot, if any private asset. This is why they want to expand, this is why the partnership with us. But for us, it's also interesting because they have all the listed funds available, meaning that at one day, we hope that we'll be able to create together a platform that will be funding entrepreneurs in tech from co-creation and to post IPO life for the best ones. So this vision of platform will be embracing all the alliance but with the angle that technology makes the difference and of course entrepreneurs are the real ones that we are backing here. I think it's fair to say that many successful VCs in Europe will at some point have that opportunity to partner with a large private bank or private equity house or something like that, because we fit a good whole.

46:40VC fits a good whole in typically an asset managers portfolio or for a private bank, their portfolio of available investments. So I think it's very interesting to kind of touch on why or not why, but how did you go through that process of deciding to go into bed with them, right? Because that is a tough decision, running a VC firm as your own, partner-driven, founder-partner-driven. That's like you hold the reins as a completely yours. And then taking someone in massively upscales the opportunity. But it's also, okay, now it's getting to be a different beast. First of all, it's an opportunity base that we are not looking for a partner, especially, even if we started to think that maybe at some point a question on the table, but the meeting and matching with Lazard was so unique that we decided to think it different.

47:43And it was unique for many reasons. The first one is that I was not into merging, partnering, creating a joint venture, whatever would be the outcome, with a local guy. Why? Because I'm good enough in my own turf. even in Europe I feel I'm good enough so maybe I should acquire small teams but not really being partnering with someone in Europe so this needs to be global and Lazare is perfect because it's French founders 200 years ago in the US have been creating a global company yet with a bit of DNA and a strong Parisian office so if you mix that up it's quite unique the mark second When you do a partnership like that, the first thing you should ask is cultures.

48:34How are they going to merge? They're very different in ours, but they're very compatible because we have the same vision of performance, quality, discipline, investing, and asset management kind of behavior if we do different jobs. So that was the easy part, but also they don't do private assets in Europe at all, and they just have a tiny thing in the US. so the group I was partnering with I have nobody to fight with I have nobody who knows how to do my job or at least believe that and I don't have anybody I believe can do this job to this is pretty unique take any bank, they have a PE branch they have a venture branch so the first thing you have to do is to know your enemies it's not a future so here it's internal blue ocean for us.

49:27And they're very excited because also we are the first one. Because if you look at what Peter Orsak, the CEO, said, they're going to expand there. So we're also the ones starting the process. So it's very exciting. So this is pretty unique too. And finally, they came with a project and idea to discuss that was exactly a matching part of my own project and idea. Because I wanted to expand too. Because I do believe where we need to expand because I can't see why VCs shouldn't expand. You know, there's no reason why you should see a small is beautiful or maybe not, you know. So I think, well, everyone wants to expand why not us as a VC.

50:05And to expand, clearly to go to the later stage where I believe there will be a massive opportunity in 2025 and after that. If we want to expand there, what was, I was missing capital because I needed to hire a new team and it's quite expensive, hire a new team in growth. and I needed distribution channels because I need to raise, you know, if a VC raised a billion, it's okay. Over 10 years, 15 years, it's a very good result. If a late stage firm wants to survive, you need to raise this every two or four years at some point. So I didn't have the network, especially international one, to raise that amount.

50:42So I was facing, I want to go in the late stage, but I need capital in my company and a network of distribution. And as I can say, we want to do the exact same what we want to do, but we don't know how to invest, yet we have capital and we have net worth of distribution. So this is quite unique for us. So I know, because this is my job, to see an opportunity when one happens. So we changed our mindset, we discussed with them, and we ended up finding a fantastic industrial project together. And we decided to go and proceed with that. Even if we lose a bit of independence at some point, the most important thing in independence to be fair is IC independence.

51:23If the investment committee is independent then the rest it's okay. And this is what we have agreed with them because they do believe also that investment committee should be independent. So clearly the independence for me is kept at the right level and they're always partnering with them and they're good people and we are good people so so far so good. Incredibly cool to hear how you thought Freud. I think that's rare to hear described as clear as you did. So thanks a million for doing so. I also just want to say to the audience, because you said, you did say, I don't see why a VC firm shouldn't scale as well.

51:59That of course, because we constantly have on LinkedIn and X, the continued messaging from micro VCs that the only way to go in VC is small. It's just like you serve two different purposes as a VC firm, whether you're small or you're in the LP portfolio. You can definitely argue, why would a small FO pick to invest in a large VC? Because you then say, well, you might as well stay in private equity or it doesn't look a lot like private equity then. You don't get the potential outlier performance. That kind of thinking, but from an ecosystem perspective, from a GP perspective, I completely agree with you.

52:41you know there's just so many ways to play venture uh and one of them is 100 scaling that the company as well so i think that's super important to say it doesn't mean we will change the size of our funds the size of any fund we create a VC is first modelized with ME and then we raised it we need to have performance because for the most style of company is not the asset management and the management or fees or EBITDA it's the performance of our funds So even if we are able to raise one day half a billion for early stage fund, we will not raise it unless we believe we have an opportunity to perform with half a billion fund.

53:21Currently, we don't have it. We don't see it. Not yet. So it means that even if we are larger, the platform will be larger, but every fund will be designed by a model where the assumptions and the expected returns are strong enough for us to proceed. We will not raise more because we can. But you can optimize for pure alpha? Or you can optimize for a slightly smaller risk because it's better diversified? That's our product design for management. We have a risk-reward approach for every fund. But the fact we have a problem, we won't change that. We do believe that if the funds are not performing based on the level of risk that is acceptable by the investor, but it's quite high, if the funds cannot perform, then we won't survive.

54:07Whether we have a big friend from the US or not, we will not survive. We need to perform. That's it, period. Yes. All right. So now, otherwise, the access to the LP distribution network in Lazarus will probably quickly end as well if performance is not there. Let's go to a quick touch on the person behind, meaning Xavier Lazarus. Tell us a bit about yourself, your principles, philosophy for living in life, being a person in this life? Just to understand my passion for deep tech and science-based companies that actually most of my career, I started to invest in 99. I'm becoming more and more one of the people of the old world of VCs in Europe.

54:54But before that, I had a very different life. I was a researcher in academics and doing something that is As interesting that it's useless, which is number theory, arithmetic, pure math. So I was trained, educated, and based on the idea that difficult things are interesting things, that if you don't do something very, very difficult, then maybe you're using your time, et cetera, and a lot of patience because when you work on a problem that is hard to solve, it will take years to solve it. Creating a theorem is not a question of weeks or quarters. Sometimes it's a full life. So this part, which is, and also I was teaching a lot.

55:35I really enjoyed teaching. So this part of my life is finished in a way, but it irrigated everything I've done after that. So between the two, I've been briefly an entrepreneur in learning to discover entrepreneurship and I want to stay there. And then I was hired by a bank to become an investor and then creating Elias 21st years ago with Philippe. And when you look at what we do, there are things that are coming from my whole life. I care about science. I believe that science could be more solution than an issue in the Western world, especially. I believe in people who use a lot their mind and the capacity to create.

56:11So I believe in people who are very patient. Actually, even if they're in a hurry every day, they work on the long term. So all these kind of things, the kind of beauties we like to find, the deep tech angle, the relationship with academics. Most of my friends are researchers and now they run the world of science. It's my pro bono part of it. I'm raising money for the foundation of my alma mater to fund research and students at postgraduate level. I'm still very active. I'm having a mission now for the French Research Ministry about the importance of the PhD in the students in the further economy, etc.

56:49So there's a lot of things that are relating between this whole life and my current life as an investor. And a bit also the professor part, Well, I love to talk, but also I love to train people. So part of my own balance is if I'm a good investor, I would have done right in the companies I've been backing, in the funds I've created, in the company I've co-founded and are running, but also in the people I help to become what they could become and not only what they thought they would be. so really it's very important to me to always have around some very talented people who are really just a bit of help and training to become more than that could be entrepreneurs could be team members could be a thing so this is really part of what makes me come to the office happy in the morning is that knowing that we'd have an impact on some people by just helping them move to the next level before we close uh we could have spoken forever i feel but before we close i want to ask you one question and that is what strongly held Belich do you have or did you have because I want to ask you which one you've recently had to change your mind on so it's not recently recently but it's something that really changed my day-to-day life and my job is that it started, I would say, six, seven years ago, and it's scaled, and it's every day more, that I realized that actually running a VC, it's half of the time being invested, you're half being a regular entrepreneur and CEO.

58:34So I need to really build teams. I need to manage the company. I need to deal with HR. I need to do a lot of communication marketing. I really hated that, before, so I was like to live happy, live hidden. But this is part of the job, and I think that I've always been very entrepreneurial, but for many years, I was believing that VC was not a business. It was a function. It was a collection of people. It was investing money and sharing outcomes and sharing decisions. So the team was here to make a good decision, but there was actually no team. it was a collection of people making in common their breaks to make better decisions and raise a bit of money and invest more and we couldn't scale for that and one day I said well you know what maybe you're right maybe you're completely wrong and yet to keep an off-start which is performance so don't do just scaling for scaling but creating a company so I spent more and more a larger part of my time doing that and with the deal with Lazard I discovered big partnerships etc.

59:41So everything I've seen as a board member and invested in companies, actually I said, why should we end up late? And this is the big challenge of my mindset. And I think that part of what we do well is not only investing, but also looking at Elaya as a company with its quality and flows and developing it and being Justin and Mark and Mark and Mark. Even if, to be fair, we are in a very, very protective sector because we don't need to raise really money. We make profits for 21 years of existing, 21 dollars profit in a row. So we are in a very, very nice place to be an entrepreneur. I'm not bearing to the complexity of someone doing difficult things in the basement.

1:00:28Yet, it's still a company like another. That was the big change. Yeah, I think what you're describing, there's a difference between building a boutique firm and a franchise. right? Because you can just be an investor in that, but you'll never grow bigger than 200 million probably or so. If you want to build what you're building with Elaya, you need to be able to put on the CEO hat and build a scaling organization. From time to time, yes, I need that. Amazing. Xavier, I cannot wait to see you at SuperVenture this year. It has been incredible to have you on the podcast. And again, congratulations on being a finalist in the at EUVC Awards.

1:01:05It was a pleasure to have this chat this morning. Thank you, Andreas. Thank you. Bye-bye. Here's a few words from our beloved sponsor. This episode is presented with our good friends at Haines Boon, proud sponsors of the Firm of the Year Award. At Haines Boon, they understand the complexities and challenges faced by VCs. Specializing in fund formation, they expertly manage the establishment of multi-billion dollar funds and innovative private fund products, ensuring their VC clients are equipped to attract global investors and excel in competitive markets. Beyond fund formation, Haynes Boone is deeply involved in the life cycle of startups, providing nuanced guidance on everything from entity structuring and capital raising to navigating exits through IPOs and strategic acquisitions.

1:01:54Their comprehensive legal services support VCs in maximizing their investments and achieving successful outcomes. Whether you're looking to launch a new fund or invest in cutting-edge startups, Haynes Boone positions you at the forefront of the European venture ecosystem, enabling you to capitalise on opportunities across health tech, AI and beyond. Stay ahead of the curve by tuning in to the European VC Podcast. Join us in celebrating the art of venture capital with Haynes Boone, where strategic legal insight drives investment success.

1:02:31Tear down this wall. It's more than just an ally. This is a union of values. United and determined, we can serve as a model for other regions of the world. The nature of a problem requires a European response. Europe is a story of new beginnings. New beginnings. Let's start acting. Thank you.

From the publisher

Celebrating a new finalist in the Firm of The Year category at this year’s European VC Awards, this episode dives deep with Xavier Lazarus, Partner at Elaia Partners.

We’re very excited to have this conversation with Xavier because, as you already know, Elaia has achieved many things in +20 years of activity. Elaia is a French venture capital firm focused on European digital and deep tech startups, from early stage to growth development.

Together with Xavier, we’re gonna tackle the following topics:
  • Generative AI & how it has been shaping venture capital
  • Future AI trends and what we should expect from this industry
  • The recent 200M round they have just participated in with H company
  • The rise of Paris as a venture ecosystem and innovation hub
  • … and some other exciting topics that we invite you to discover by yourself.

Go to eu.vc for our core learnings and the full video interview 👀

Chapters:

00:44 Diving into Gen AI and H Company
01:48 Xavier's Transition from Boutique to Franchise
04:58 Exploring H Company's AI Innovations
12:03 AI's Impact on Various Sectors
15:17 Future of AI in Education and Beyond
32:14 The Rise of French Tech
32:26 The Impact of AI and International Investments
34:02 Challenges and Strategies in Fund Modeling
36:28 Portfolio Management and Risk Assessment
43:52 Elia's Growth and Expansion
44:50 Strategic Partnership with Lazard
54:30 Personal Insights from Xavier Lazarus
58:23 Reflections on VC and Entrepreneurship

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