In short
How European founders and CEOs should expand globally (especially to the US) and reorganize for AI-era product building; Index Ventures’ approach to investing in AI by backing frontier talent and operating as a transatlantic, multi-stage team.
Guest background
Martin Mignot is a long-term partner at Index Ventures in London. Index has backed companies including Revolut, Deliveroo, Wiz, Intercom, and Scale; he discusses Index’s integrated presence across Tel Aviv, San Francisco, and other hubs.
Key claims
European “born global” expansion to the US is strengthening, not weakening. AI changes org design and information flow, forcing mature companies to retrofit teams and titles. CEOs must “own the moment,” often returning to shipping and change management. Index’s role is to challenge, guide, connect, and share best practices, but execution is the CEO’s job. Index invests globally for “global maximum,” not local maximum.
Notable examples
Revolut (born-global and org/leadership evolution); Anthropic (Cloud Code adoption signal; co-founders retained; talent-density thesis); Wiz (conviction/confidence built across prior investing).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOGlobal Mindset of European Founders
0:45 to 3:00
Discussion on European founders' approach to American expansion and global thinking.
“Has the way that European founders are thinking about American expansion changed at all since you wrote that book, given everything that's gone on?”
The Evolution of Organizational Design
3:00 to 5:00
Insights on how AI is changing organizational structures and design principles in companies.
“Well, I think, first of all, you know, it's an interesting topic.”
CEO Leadership in the AI Era
5:00 to 8:00
Exploration of how the roles of CEOs are changing in light of AI advancements.
“And I think it's an amazing opportunity, obviously.”
Index Ventures' Role in Transition
8:00 to 10:00
Martin discusses the role of Index Ventures in supporting companies through transitions in the AI landscape.
“And so, yeah, I think our role here is to share best practices.”
Investment in Anthropic
10:00 to 12:00
Details about Index Ventures' investment in Anthropic and the strategic reasons behind it.
“What gave you conviction to go in on Anthropic?”
Index's AI Investment Strategy
12:00 to 14:00
Discussion on Index Ventures' approach to investments in AI and the importance of talent.
“They've become the leading organization that everybody loves and everybody uses.”
The Importance of Founders in Fast-Paced Change
14:00 to 15:30
Understand why backing strong founders is crucial in rapidly evolving industries.
“That wasn't, you know, inside the company, you know, at the time.”
Assessing Talent in the AI Landscape
15:30 to 19:00
Learn how assessing talent for AI leadership differs from previous tech eras.
“And so as a result, we've backed the absolute best founders that we've come across, that we've gotten to get to know and like at various layers of the stack.”
Exploring AI: Technology’s Changing Landscape
19:00 to 21:50
Explore the shift from exploitation to exploration in AI technology.
“And if you look at Sam, he was also a great part of the previous era, and he did really well in the previous era, and he was also doing really well in this one.”
Index Ventures' Global Investment Strategy
21:50 to 26:00
Discover how Index Ventures approaches global investments in tech startups.
“And maybe we're already there in the AI world, right?”
Show all 23 chapters
Overcoming Challenges as a Multi-Stage Global Team
26:00 to 28:00
Learn about the challenges and strategies of operating as a cohesive global team.
“And so very quickly, regardless of where they start, they will want to operate in London, in Paris, in New York, in San Francisco.”
Building a Cohesive Team for Founders
28:00 to 29:54
Learn how Index Ventures builds cohesive teams to support founders effectively.
“Then we pick, okay, who are, for each of those three dimensions, who are the best people within index to, you know, spend time with the founder and try to build a relationship?”
The Role of AI in Team Collaboration
29:54 to 31:29
Discover how AI can enhance information sharing and collaboration among teams.
“Those three places are equally important to us.”
Key Traits of Successful Partners
31:30 to 33:57
Explore the cultural traits that unite partners at Index Ventures and foster success.
“So I think the AI is going to make our model a lot, you know, even more powerful and effective.”
Maintaining a Beginner's Mindset in VC
33:57 to 36:16
Understand the importance of a beginner's mindset in venture capital investing.
“makes them tick and what is their worldview, what is their world model, beyond just what they're doing right now and the tactical.”
Evolving Conviction in Investments
36:16 to 38:10
Learn how conviction and confidence in investments evolve over time.
“that young investors have, is that they have nothing to lose.”
The Importance of Long-term Relationships
38:10 to 41:38
Discover how long-term relationships impact investment success.
“We're not the only investors on the planet, so that's one reason.”
Lessons from Nick's Leadership
41:38 to 42:01
Learn what European founders can take away from Nick's leadership at Revolut.
“What should other European founders be learning from him?”
Lessons from Nick's Originality and Ambition
42:01 to 43:52
Learn about the unique traits of founder Nick and how his ambitions set him apart.
“other people in the new banking industry know that others have struggled.”
The Intensity of Leadership and Growth
43:53 to 45:42
Understand the intensity and sacrifices required for building impactful companies.
“And like from day one, he was like, I'm going to build a bigger company than JP Morgan.”
The Evolving Venture Capital Landscape
45:43 to 48:36
Explore the changing dynamics of venture capital in the context of mega valuations.
“You have to kind of grow through that to grow as an individual, as a leader.”
The Importance of Smaller Scale Companies
48:37 to 48:52
Recognize the potential of smaller companies in generating significant returns.
“I mean, this is really rarefied earth and that's what will drive a lot of the outcomes for the venture industry.”
Fond Memories of European Trains
48:53 to 49:41
Hear about the host's nostalgia for European train travel and its convenience.
“You've been living for a number of years.”
Transcript
Automatic transcript. May contain errors.0:00Martin Mignot:Hello and welcome back to the Scaling Europe show presented by Deal. I'm Seb Johnson and today we are in the very cool underground studio of Index Ventures here in London. I'm joined by Martin Mignot, your long-term partner at Index. Thank you for having me. Thanks for coming and discovering our home. I love it. It's an amazing space, an amazing office. You're one of the most prolific, successful VCs that I think we have here in Europe. You've backed the lights of Revolut, Deliveroo, and so many amazing European companies. So it's going to be a great conversation and really grateful to have the time with you.
0:31Thank you.
0:31Martin Mignot:I want to go straight into the book that was published last year. It was all about European founders thinking global and tackling the US. That was written or published summer last year. Since then, a lot has changed, both in the world of tech, but also geopolitically. Has the way that European founders are thinking about American expansion changed at all since you wrote that book, given everything that's gone on? I mean, if anything, I'd say it's only grown stronger. So the message of the book was all about born global. And the core idea was that what our study showed, it's a lot easier to start global than to become global.
1:16Be born global versus becoming global. And I think the next generation and this current generation is becoming global and going to the US even earlier and even stronger than the previous generation. If you look at a lot of the recent massive successes, you mentioned before Legora and
1:40the Lovable and 11 Labs of the world, Granola and many of the new AI native companies, they've gone to the US and had massive success there much earlier. So I think if anything, the trend of going there early and going there strongly is even stronger. And the actual mechanics of how you do it, I think they've remained very, very relevant. And so I think that book is still very relevant. I was thinking about it and I think the one that has changed the most is the previous book that we published, which is called Scaling Through Chaos. The other one was all about org design. You know, when do you hire a chief product officer and how do you organize your team and the size and the reporting lines.
2:31And again, you know, based on data and a lot of anecdotes. And I think that part has changed a lot. So if I were to rewrite one of the books, I think that would be the one because with AI, especially, I think how we build companies, the shape of the organization, the way the information flows, that has changed a lot.
2:52Martin Mignot:And are you seeing your later stage, more mature companies now trying to catch up or retrofit their organizations for this new AI world? Yeah, absolutely. What does that look like? Well, I think, first of all, you know, it's an interesting topic. and to your point about European entrepreneurs moving to the U.S., what I'm seeing as well is a lot of CEOs from more mature companies going to the U.S. not only to sell but also to learn. I think there is this bit of a moment where you do the pilgrimage to San Francisco to really get immersed and live at the frontier and especially to see how, to this point, how are these new companies being organized and how does the work get produced?
3:41And so I think for a lot of these older, more mature companies, it's a work in progress. It's reducing the size of the teams. It's collapsing some of the functions, changing some of the title. And then there's also a philosophy. I was studying with one of my portfolio founders just earlier today. And he was just coming back from San Francisco, actually. He had just done the trip last week. and he was like, it's more a philosophical change where we now want to work for the AI, which is, AI used to be a copilot and something that helps you do things, but now the companies at the frontier, they turn things, it's a competition revolution, they turn things on their head and you work for the AI.
4:27The AI is at the core and the humans are around, helping it, making it more efficient and smarter and get to better and faster outcomes, but you kind of turn things around.
4:38Martin Mignot:And are you seeing the role of your portfolio CEOs massively change? Because we're seeing a lot of noise on X about returning to founder mode, and you're seeing CEOs who maybe haven't been coding or developing for a few years getting back in there and developing. Or never. Yeah, yeah, yeah. And now shipping products for the first time ever. Are you seeing that again in your late-stage portfolio founders? Yeah, I mean, absolutely. And I think it's an amazing opportunity, obviously. And it's also one where you can really start seeing the one that really sees the moment and show true leadership, which is exactly that, which is about taking this moment by the scruff of the neck and owning it.
5:22And I think there is an element of anyone can be a leader in this new world. All the old positions have been changed, and any company can become the most AI forward. There is nothing that tells you you or you can't. There are a lot of examples of, if you look at companies like Revolut and Ramp and Intercom. I mean, you can see a lot of companies that reinvented themselves and became poster child for this year, even though they were older companies. so it's totally possible and I think that's really something that is the responsibility of the founder or CEO is to really get immersed and don't get bogged down by the past and by the weight of the inertia of the institution they've built of the product it can be both on the product side so the product you've built that sometimes mean letting it go and starting kind of afresh but also in the organization you've built and the type of people and the way you're organized and how the information flows.
6:28You have to kind of lean in and think of first principle, you know, blank sheet of paper. What does it look like? And then you really lean forward. And that requires a lot of leaders. It requires both vision, like where is this world going, both in terms of the product and what does that mean in terms of how you need to be organized to deliver that product. And it's also a lot of really change management, which is an old school term. But that's why, because once you've set the vision and the direction, that's about how do you empower people to change and remove the processes and change the processes to get into that new world.
7:10And that requires a moment of, it is a moment of intense, of intensity, of intense push to make that change happen. It doesn't happen naturally.
7:19Martin Mignot:And what role, if any, do you think a firm like Index should play in helping companies through that transition? Is it sharing best practices from portfolio companies? Or is this something that actually founders or CEOs need to go through themselves? They absolutely need to go through themselves. Like most things in startups, the investor role is to challenge, it's to guide, it's to help, it's to connect, it's to give the context for CEOs to make the best possible decision with information that's available and then to kind of deliver on it and execute. But the execution of the movement, that's what makes the role of the CEO.
7:59That's what makes the best CEO, the one that can inflect the most movement and the most intensity to those decisions. And so, yeah, I think our role here is to share best practices. And the beauty with Index and one of our strengths is the transatlantic nature of the firm. The fact that we are one fully integrated company from Tel Aviv to San Francisco, we work as one team, we look at all opportunities together, it's a fully equal team across those geos. And as a result, especially for European founders, we have a direct view into San Francisco and New York. And so we have a lot of investments on the West Coast and we can really see what is happening on the ground.
8:48So we can help them, you know, go spend time there and like really share those practices. And also the other way around. You know, even last week, we had this amazing event with Anthropic here in the office. You can probably see the design. This event called Work in Progress where we had, you know, we were invested in Anthropic. And we had a lot of their senior team members here in London and some from the U.S. coming here. and we had seven or eight of our portfolio companies, you know, Revolut and Wiz and many others that came and shared how they use Cloud, both for their product and also internally.
9:28And then we had open to the community and we had people in code in real time and with the Anthropic team to show what was possible and get the guidance. So this is the, you know, it goes, you know, we both help get people to the US. So we help bring that here so that people are at the frontier and are immersed into what's happening.
9:48Martin Mignot:And can we talk about Anthropic? Because I know that Index is invested, but it seems like it was very subtle. I didn't see a lot of noise about it. When was that investment made? Last year. And can you talk about the thesis behind it? What gave you conviction to go in on Anthropic? Yeah, there are a couple of things. the one I think the first signal was seeing the adoption inside the portfolio that was always the early signal when you start seeing all of your team very quickly start using Cloud Code in particular I think Cloud Code was very much the moment it was just when it was starting to happen that we made the investment but we started seeing especially again on the earlier stages of things it was like all the seed companies I would be I do like bi-weekly calls with the one we invest in.
10:39And I always ask, okay, how do you work? What are the new tools you're using? And we start hearing, oh, everyone moved to this cloud code thing and it's incredible. And we've seen this massive, we've totally dropped everything else and we've seen this massive improvement. Okay, that's interesting. And so that was really the, we need to be in this, this is going to be a really consequential company. Then we spent a lot of time with enterprise customers and realized that was starting to seep into that as well. So there was also the usage there, both of the coding product, but also of cloud enterprise in general was very early, but growing.
11:13And so we thought, okay, there's a really big, this is going to be very large when that diffusion happens inside those enterprises. And then the last thing that I think was really important to us was the stability of the funding team. We're all about the founders. It's all about the people. and what is very unique about Entropic is all the co-founders are still there. And we looked at, there was a report that was published about the ratio of people from other labs moving to Entropic versus, I don't know if you remember that article. This article I was published was like, there was all an analysis of how many people go to Entropic from other labs versus go to other labs from Entropic.
11:58and it was and the ratio was one to eight so they had eight times more people coming in that coming out and obviously was much worse in the other labs by definition uh and so we could tell that they had clearly something very special in terms of the culture the way they operate i guess i'll see the the success and we were probably clearly seeing that these things was was going to work and was going to be big and so they were able to both retain and attract and in the eye it's all about talent density you know the other day you are the frontier you need the smartest people that work the hardest and that they're the most committed and if you have that then the rest is an exhaust from that that great talent density and we feel that Anthropic had clearly something unique going and yeah it's been you know it's been a bit less than a year now and they are kind of you know 2x above I mean it's one of the most incredible out performance um it's obviously especially at that scale that that that we've seen remarkable
12:55Martin Mignot:The 12 months that they've had has just been phenomenal. They've become the leading organization that everybody loves and everybody uses. Can I touch on Index's broader AI approach or strategy thing? Because you talked a lot about talent and how talent density is so important in these AI companies. I know that you've also invested in Mistral and then scaled on the infrastructure. Is that the common theme? Is it about finding the very best talent? And I guess then it's not so you don't have a particular thesis. You know, lots of firms are coming up about, you know, software as a service or particular application.
13:29Martin Mignot:You know, different firms have had different thesis around where they want to play in the AI world. Index has always been about talent. Is that still true for the world of AI? Yeah. I'd be curious actually to map those theses with the portfolio and how much they overlap. That'd be an interesting analysis. look I mean you need to have a thesis right you need to have a view of the world you need to know you know have a thesis on where the technology is going and where the world is going in general so you know I'm just I'm not diminishing that and and we obviously have that I think the way we operate though is is a bit different in a way that one to your point it's all about the people so we really start with founders which I think especially in this moment when things are moving so quickly or being, you know, we're talking about cloud code, you know, see how quickly that, you know, that new product emerged and became mainstream and dominant.
14:25No one could have seen that, right? That wasn't, you know, inside the company, you know, at the time. And so I think you have to be, you know, you have to be humble and realize that things are changing very quickly. And so you have to back people who have this, who live at the frontier, have a view of where the world is going. We can also move very quickly depending on what's happening. And then the other thing is the way we operate. It is a partnership. It's an equal partnership. We're not an hierarchy. We don't have a CEO. We don't have, you know, that's just not how we work. And we work as a group.
14:58And as a result, we have a, you know, we're more of a bottoms-up organization. So each partner will have something that they're passionate about. They will have a thesis. They will have a view. but we don't necessarily have a top-down, this is the way the world is going and that's the index view and theory of technology. That is just not how we operate. We each have our views and hopefully they're not opposite but sometimes they can be friction and they can be discussed and I think that's what brings you closer to the truth. And so as a result, we've backed the absolute best founders that we've come across, that we've gotten to get to know and like at various layers of the stack.
15:46So from the infralayer, the model layer, the application layer, the tooling layer, we've made bets across. And one of the reasons for that, I think that's something that people miss a little bit, is the world is a big place. The economy is a big place. You have different sizes of customers. You have consumer, you have small company, medium, large, very large. They typically have pretty different needs and use cases. You have different verticals. You have legal, you have healthcare. Again, you may have different regulations. You may have different security measures. You have different geographies.
16:27Someone may want something more sovereign than somebody else. So the opportunity set is so large. Then some companies will be more horizontal and more global, and Tropic is a good example of that. But that doesn't mean that someone that's a little bit more local or a little bit more specialized, a little bit more vertical, will also be a very large company. And if you get in very early, you know, the larger shareholder and reference, you can generate significant returns even there. So I think we live in a world where people want to make big sweeping statement about the future because that gets them a lot of visibility and lots of clicks.
17:07I think the reality is a little bit more nuanced than that and you have to do the work on that nuance.
17:13Martin Mignot:When you talk about finding the very best talent, the very best founders, in this world of AI a lot of it is about very technical talent. You talked about Anthropic attracting the very best researchers from the very best labs and a lot of the CEOs now are almost like academics, right? The academics turned researchers. How has this changed the way that you have to assess talent? Because it's very different from SaaS founders five years ago or consumer application founders. It must be a very different thing to assess a researcher as a CEO. How do you go about that? I think that's very true. And I think especially in the early days of this movement, that was a big question.
17:50And you need to assess people's... I mean, the traits of a CEO and the responsibility in what you have to do isn't any different. I mean, you need to be able to break down problems very rapidly. So I think the raw intelligence is a critical factor. You need to be able to be extremely focused and resilient and bring that intensity every day. That hasn't changed. you need to be able to be a storyteller and have some form of charisma that will attract investors, media, talent. So all those things, they remain and they're all the same. So I think the core traits, I don't think, are that different.
18:35If you look at the most successful founders, even of the previous era, I'm not sure they are that different from this era. If you look at Zuck, at Nick, at Jeff Bezos, they were all pretty damn smart, technical, intense, charismatic individuals. Are they that different from Dario? Yes, they were not researchers, but I think it's more of a difference of nature for this particular case than in general. And if you look at Sam, he was also a great part of the previous era, and he did really well in the previous era, and he was also doing really well in this one. So I'm not sure the core characteristics have changed so much.
19:24I think what's interesting is that the difference is that the technology is much less settled, right? So I think it's more about how do you diligence. The technology and the product used to be kind of a given. You know, SaaS and mobile, you kind of know what the technology can do. You know what the mobile application looks like. You know, there's a GPS, there's an accelerometer. So you can use all those tools. But it was a finite and a stable environment to build. So the core components were known, which means that you knew what was possible and wasn't possible. So technology was never really a question.
20:00What has changed is not so much the people, in my opinion. It's more what the technology can do and where it's going. and so that's where the diligence we do spend a lot more time kind of diligencing the the technological claims and the breakthrough and understanding what's what's going to happen in six months or 12 months time but then again the only way to diligence that it's not through data because that's all new it's all people it goes back to the network that you have and the only way we diligence that is just making sure you know the right people the few and there are very few people who really know what is at the frontier and that you are very close to them and that you build those very close relationships.
20:42Actually, they help you see the deals, but also help you win and diligence the deals and the claims. And that's the part that we've had to build because it's a net new network versus what was around before.
20:54Martin Mignot:Yeah, it's really interesting because it's almost like in the old era, all the tools were built. And it's like, what can you build with the tools? Whereas in AI, you're assessing somebody's ability to build new tools. There are two motions in technology. There are two phases. There's the explore phase and there's the exploit phase. So we had 10 years of exploit, which was 2010 to 2020, essentially. You had a decade or 15 years of exploiting the smartphone and the cloud. and more or less the technology was set. It was all about picking the right market, picking the right business model, picking the right product to go after it.
21:32It was all inside a kind of constrained environment. And now we are back to an explore mode, which is using what is the limit of the technology, what can the technology do. But then we're going to move very soon. I think we're going to move back to an exploit moment. And maybe we're already there in the AI world, right? some point, I mean, unless there is takeoff and the capabilities keep on improving and changing forever, which is a possibility, if there is a plateau, then we're going to move back into an exploit mode. And I think that's where all this capex spend is going to start to make sense.
22:07Like when you're going to start building all the application, all the use cases, like the real diffusion into the enterprise, into consumers, that may again favor a different type of approach.
22:18Martin Mignot:Yeah, interesting. And going back to index and AI more broadly, when I looked at the index portfolio in AI, Anthropic, Mistral, Scale, recently Granola, it feels quite light. I think especially compared to other European investors, people like Excel, Avanti, GV that we talk about, the Lugoras, the Lovables, Black Forest Labs, 11 Labs, and ATEM. Do you think index is under-invested in AI at the moment? If you look at the stack where we've invested, we've got multiple model providers. We were in scale way back when. So far, that's been the only big outcome in the area so far. So we were the second largest shareholder there.
23:07And then we've got investments in the infralayer. So we're investors in fireworks, which is one of the most interesting inference player. in LifeKit, which is also a very interesting infra player. And then at the application layer, we have many other that you haven't mentioned. You were big investors in Wonderful, which is in the customer support space, in Decagon, in Simile, in Parallel, in infrastructure. So I think we have a pretty, pretty large portfolio. I think, again, it's not focused on Europe. I think the difference with some of those ones that you mentioned and in your view, We don't try to invest in the very best European company.
23:50Of course, if the very best European company is the very best global company, of course we want to be invested in it. But again, our opportunity set is Tel Aviv, San Francisco. We want to invest in the very best companies globally, or at least in that environment. And sometimes it's a European company, sometimes it's a US company. And sometimes there's one in each for geopolitical reasons, for example. So we don't just look at the European opportunity set and think, OK, we need to invest in that, the local maximum. We look at the global maximum.
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24:27Martin Mignot:Most firms are the biggest firms. They're very much US firms. Maybe they have sort of satellites in Europe. You mentioned earlier how Index is one global multistage team. Yeah. And that's very unusual. It is, yeah. What's the thesis behind that? The view is that frontiers don't matter. I mean, it may be changing right now, there may be a different discourse right now, but our view remains that with technology, frontiers have kind of disappeared. And it's all within the Western world. It's just one whole interconnected ecosystem and that the best founders can come from anywhere. And that was the original thesis when we started Index.
25:15We had this website with these little graphics where it's like, there's opportunities everywhere you look. That was the little thing that was moving at the bottom. And that's how we started. Our first successes were in the Nordics and in the Baltics. You know, Skype and MySQL and King, they were all in kind of forgotten region at the time. No one was really looking at these places. And that's what got us going. And so that was the core thesis. That's how we got the first success. And that's remained true. And so that's why we want to look at all those opportunities. But again, we want to invest in the very best global companies or the very best companies within that ecosystem.
25:54And what we see with a lot of these companies is that they can come from anywhere, but their aspirations are global. And so very quickly, regardless of where they start, they will want to operate in London, in Paris, in New York, in San Francisco. And having one team that is fully aligned and in the flow and in sync on all those companies and all the opportunities in real time gives us a massive advantage both to see these companies before anyone else sees them, but also to win the entrepreneurs over. You know, like when you have these European teams that, you know, maybe they're all in Europe, maybe one is in Europe and the other is in New York or in San Francisco, we can be with them wherever they are.
26:42We can meet them where they are and we can then help them get to where they want to go. And I think that's the most beautiful thing at Index when it really, when we were in full focus one team mode, that we can really all mobilize to either win an entrepreneur over or help him or her be successful as one team across all those deals, which is where the opportunity always is. The biggest company, by definition, will want to tackle a global market.
27:13Martin Mignot:And it's definitely something I notice looking at other firms, is that there's sometimes geographic tensions or there's strange structures in place. And so I can really see a lot of the advantages. What is one of the biggest disadvantages? Because people talk about focus, people have sector or geography specialisms or expertise. You sit across the whole Western world, every stage. What are the disadvantages to being one multi-stage global team? It's collaboration and information context sharing. There is an information transmission cost, essentially. it takes a lot of effort a lot of time to stay very aligned, very close to each other so we there are a few things that we've done it's been a 30 year journey to get there so we've put a lot of things in place to make it as seamless as possible culture is a really important one and so we have certain values winning as one team is probably the most important of those values values, which means, just to give an example, whenever we look at a new opportunity, we meet a new founder, we always have this concept of fielding the best team, which is based on the network, so who knows that person and their team and the investor around, which sector is this company operating in, and where is the team based, those are the three dimensions that we look at.
28:48Then we pick, okay, who are, for each of those three dimensions, who are the best people within index to, you know, spend time with the founder and try to build a relationship? Which means that for every single company, it's a different sub-team. There's no hard silo. Like, it's totally agile and nimble. And it can be someone from, you know, who is in London and someone who is in San Francisco and a fintech expert who is in New York. Like, it can be, every single one is unique, which is amazing in terms of founder experience. But obviously, you have to have maximum information sharing, trust between people, and make sure it always stays top of mind.
29:31Because this model only works if everyone is fully aligned, that there is no sharp elbow, that there is none of that. It's really everyone as one team in service of the founder and the opportunity. So you have to have that. And then you have to spend time together. So we spend a lot of time together multiple times a year. We go to San Francisco, New York, and London, everywhere. Those three places are equally important to us. You have to pick up the phone. You have to bypass the async communication channel. You have to pick up the phone and have this live conversation at every level. It doesn't matter the seniority or the location.
30:13You have to do it. And so it takes a toll. But that's the price. But when it works, it's just incredible. And the last thing I would say, I think AI is going to be a massive help for us. I think one of the challenges in the old world was that everyone was working very hard, building their own network, building their relationship, having all this information, all this knowledge. we all lived in silos, inside people's inbox, inside people's conversations and all that. With AI, suddenly you can have, you know, in an ideal world, we're not there yet, and there's obviously compliance questions and privacy questions.
30:50But imagine if something, you know, if everything was by default saved and recorded and searchable and visible to the, you know, the mother brain, then suddenly all those relationships, they would become, you know, much more easily accessible and you would have to spend a lot less time sharing that context proactively. Because when you're sharing, you don't exactly know, like 90 % of what you're sharing is not relevant to the other person. But this could reverse that, you know, the cost of sharing would be zero because it will happen. And people will only pick and get the information that they themselves precisely need at the moment.
31:26So you could expose much more of your knowledge and of your network and be much more selective and much more effective for a lot less of work. So I think the AI is going to make our model a lot, you know, even more powerful and effective.
31:41Martin Mignot:I want to talk about, linked to that, I've interviewed a lot of ex-Revolute founders. And they all share these really clear, similar cultural traits or personality traits. It's like high bias to action, execution orientated, very, very analytical. I've probably interviewed a dozen ex-Revolute founders. And that is really clear. what traits or I don't know cultural elements do you think link or unite index partners you know what is it about you know you and your fellow partners that you think you all have in common yeah well I think the the global mindset and approach is is you know is number one it's the clear one we all from look at our background it's really kind of all over the place we we've lived in many different places.
32:25We come from very different nationalities and origins and we've studied in very different places. So we have a lot of very different experiences that give us hopefully very different viewpoints. You know, like we're not, definitely not the Silicon Valley siloed. You know, we know one thing, one archetype type of firm. You know, it's much more, we have this global viewpoint, which I think is what unites us in some ways. Funnily enough, you know, That kind of diversity of viewpoints is what unites us in many ways. I think we are extremely competitive externally, but extremely collaborative internally.
33:05I think we work as one team, right? So we all share the same economics. We all have the same interest in every company being successful. And so there is none of, you know, this is my deal, this is your deal. That just doesn't happen, right? So this is just not how we operate. And so I think those things are critical. And then the third one is it's all about the people, like this idea of the founder relationship, like showing up as you are and building those really deep personal relationships that go beyond just the transactional, just the data, but really kind of getting to know people their entirety, what really drives them and what really motivates them and what really makes them tick and what is their worldview, what is their world model, beyond just what they're doing right now and the tactical.
34:05I think that's the other dimensions that we will share.
34:09Martin Mignot:And I want to touch on Revolut more broadly. Yeah. It's one of, if not the greatest investment probably in your portfolio. You invested as a, I guess, relatively junior in your career. you were a principal at the time. I'm curious if, and actually at the time it was probably quite contrarian. It probably wasn't, I don't know the exact economics, it probably wasn't really hot in the way that lots of companies are today. I wonder if there's something in there about you being a sort of young, fairly new to VC. And so my question is, if that deal came across your desk today, as a much more experienced, mature VC, do you think there's a chance that you would not have done it?
34:46I hope not. I hope not. I ask myself the question a lot, and I think that's such a brilliant question and such an important one. One of our values is to keep a beginner's mindset and forgetting both your successes and your failures, which is tricky because obviously all your career is built on pattern recognition. But at the same time, you need to know there are moments where you need to throw all of that away and and just be naive and optimistic and and go for it and i think you know i actually posted something about it uh last week i was i was i remember i was watching a few months ago this barry dealer interview uh i think it was invest like the best and where he was sharing how he got his start and the way he got his start was he was new in this studio and they had this project of creating some new TV format that everyone thought would be an absolute disaster.
35:46And so no one senior wanted anything to do with it. So no one would touch it. So he played it on his desk and he was like 23 or 24, had zero experience with anything. And he ended up leading this project. And he was like, of course I'm going to do it because I've got nothing else to do. I've got nothing to do. No one knows me. I've got no track record and other things, I'm going to do it. And obviously, he did a really good job, but he became incredibly successful. And that was what really kind of took off and started his career. And so I think that's one of the main advantages that young investors have, is that they have nothing to lose.
36:21And so my recommendation to them would be to take maximum risk and go for the known consensus, the contrarian, the difficult. And investments can be contrarian for all sorts of ways. The founder may be not the type that people like. The business model may not be fully there. And they could be also, they could be very competitive as a market. But finding those things that are hard and where both your senior partners and also the other senior partners that just won't touch it because it's just not, you know, it is too risky for their career or they just have too much scar tissue, I think is really critical.
37:02And as a senior investor, I think this question, I always have that in the back of my mind, which is, am I being too cautious? Am I going for... And now, whenever I invest in something that feels too good, I double-check myself. Like, okay, there's something there. It's too good. If it's too good, then it should be massively competitive and priced, you know, so the price should be really uncomfortable. But if nothing feels uncomfortable, then there is something that you know and if everyone votes totally in favor and everything is perfect i'm like okay there is a catch somewhere like you know it's it's i'm playing
37:38Martin Mignot:it too safe it's one of the one of the things i love about vc is that you can never be too contrarian even if you think you found a great pattern there's always going to be someone else who doesn't fit that pattern that you've still got to back for other reasons and i think that's that's what i i don't think is so interesting about it there's never there's always reasons to invest if they don't fit your thesis or your pattern. Going back to Revolut, I know that Index invested at the Seed, the Series A, but it wasn't until the B that Index led. Why did it take until the Series B to lead the round?
38:08I mean, there are just some round dynamics. We're not the only investors on the planet, so that's one reason. and then I think the other one is that in investing there are always kind of two lines right, one is your level of conviction and then is your level of confidence about your conviction and those move over time and they can move up, they can move down and so and sometimes you need the confidence line to grow to a certain point because you may have a lot of confidence or a lot of conviction but based on the limited data points. And every day that passes, you kind of get to know the person, the company, the situation better.
38:55And so you get the full movie instead of a picture. One of my former partners always used to say that. You want the movie, not just the still picture. And so with Revolut, what we had going for us, and also that's where this multi-stage model with the same team comes really handy. I worked with Nick for a very long time, from seed we had these monthly catch-ups and I would really see him operate. And Nick is the best European founder by quite some margin in my opinion. I think he's totally generational and even on a global scale. But in the early days, he wasn't who he is today. So I think I also took time for him to really develop and grow and be able to really explain his philosophy and how he built companies.
39:42Now it's very clear. it wasn't you know so clear and you know at the time you kind of build that over time and so as we got to work closer together my conviction was always really really high and my confidence just kept on going up you know and it's one of those where the more if all the data points you get make you more and more excited and more like that's where you start okay you invest you invest and then you invest a lot and then you know and then hopefully you kind of keep on doubling down and that's where having the ability to be the first check and the last check you know we're still looking at potentially investing more.
40:13We could. We could totally do it. Nothing would prevent us from doing that. But with just one person that can follow that relationship all across the life cycle of the company is a massive asset.
40:24Martin Mignot:I think the most powerful example is probably Wiz. You know, like the double down, triple down, quadruple down, end up being on the largest show. But you know, here, I think it's a really good example. And the difference is that Wiz, we had invested in Asaf and the team's previous company. Yeah, yeah, interesting. So we had all those data points from years of investing with them. Like we were, you know, Shardul was on the board of Adalong, the previous company, had known them for years, had worked closely, had seen them operate in all different sorts of environments. So he had, so from day one, he had that level of conviction and that level of confidence.
40:59He had those two things. And he kept that because every single data point he would get on the people he had, you know, he knew everything about them. And so he had no more data points. We had more data points on the performance of the company. And every time that would come positive and positive and more and more positive. And his level of conviction just kept on both. So the confidence side was always at the top. And the conviction was very high. But even, you know, so at every round, he was pounding the table to invest more. And every single round.
41:30Martin Mignot:Yeah, again, one of the really interesting parts about the model of index is that you can just keep going more and more. You mentioned it being like the best, you know, the final boss of European tech. Yeah. What should other European founders be learning from him? I think one is obviously the born global. He's lived that mindset from day one. You know, he's really exemplified that, expanding at a crazy scale. In a very tough industry. Highly regulated. Against all conventional wisdom at the time. And I think that's why he's dominated the new bank, you know, industry in a way that other people in the new banking industry know that others have struggled.
42:08Martin Mignot:What other bit of or like characteristic or trait from Nick should European founders be taking away? I mean, there should be a hard-wired business case about Revolut and about him because I think he's way above that caliber. First of all, I think anyone should, any new founder should study him and the company very closely because there are so many lessons from his journey and what he's done. The caveat and the disclaimer is that he is a very unique individual, right? So you should study, but you may not want to, someone may not want to replicate it because I think what's the first trait about Nick is he's such an original thinker and his originality comes from his intelligence and his very structured analytical mind.
43:06So he will take any problem and he will try to solve it by himself, sometimes with help from experts in a given field, and he will break it down to a smaller piece. And through that process, he will come up with really original solutions. So that's where his originality comes from. It comes from a very powerful and very systematic analytical approach to problem solving. But that may not be, you know, some folks may have originality from other things. And they may bring from being able to connect different fields. And you may have different techniques to get there. But that originality is what I think makes him so powerful, but also quite hard to replicate in many ways.
43:49So I think that was a really important one. The other one is obviously the scale of the ambition. And like from day one, he was like, I'm going to build a bigger company than JP Morgan. I'm going to build something much bigger than JP Morgan. And, you know, there's so many anecdotes. But like early on, I remember I was introducing him to a very successful fintech founders to potentially be an advisor or maybe join the board. And that company was worth a couple of billion dollars. And at the time, Revolut was worth a couple of hundred, you know, if that, maybe even earlier than that. So it was very much in the early days.
44:24and he met with the person and he liked that person a lot but he was like, you know, I don't think I'm going to continue. I was like, okay, why is that? Like, it's too small, you know? What he's built is just too small. It's just not relevant for us. I'm like, what do you mean? It's like 10 times your size, right? Like, yeah, but that's today but like, that's not what we want to build. We want to go, I want to meet with people who've built 100 billion dollar companies and more. Like, that's, so, and that was pretty much seed stage or maybe early series there, right? So, So he had both that vision and the confidence.
44:57He was totally clear that that's what he was building for. And so if you don't have that, I think it's hard to get there. He really had that from the beginning. And then the third thing is the intensity. I think it is the intensity and the sacrifices and the number of hours. He talks about it. He still does work incredibly hard, and he sacrifices a lot of things. He talks about work-life balance where you have to be imbalanced. If you want to build something so large and so meaningful, there are going to be trade-offs. It's painful. You have a family. You have your kids. It is painful. It's a painful process.
45:42But you always saw growth is pain. You have to kind of grow through that to grow as an individual, as a leader. and then you'll be rewarded. And then you'll have more balance and other benefits once you get on the other side. But that journey is not going to be pleasant.
45:58Martin Mignot:Yeah, interesting. And, you know, it's now, you know, rumors of nearly a$100 billion company and still private. And I wanted to get your view on the venture model and market more broadly as we're seeing companies get bigger and bigger, raising bigger and bigger rounds at higher valuations, you know, OpenAI at$800 billion, just raised$100 billion. then is the VC model, or like, I guess my first question is, is that still VC at that point, when they're raising 100 billion rounds at an 800 billion valuation? Should we still call that VC? Or is that term no longer relevant for companies of that size?
46:31Yeah, I think it's a slightly different asset class. I think that is fair to say. We don't really play in that world. I mean, we try to be, you know, the earliest, the largest, just the most referenced shareholder in the company. So that's not where we spend our time.
46:50Martin Mignot:And even companies that big, you talked about buying more of Revolut at some point potentially, right? That's still a huge company. You'll be putting in a lot of money to meaningfully get more shares in the company. Even playing at that size, is the 2 in 20 model still relevant? The performance is there. you know and I think that's where where things come from which is that there are very few companies that even if you get in at 200 billion or even if maybe even at a trillion it's probably going to be harder but you know certainly at a couple hundred billion where you can still generate a 5x in five years fairly comfortably even you know that is possible that is more than possible that is I wouldn't say you know like necessarily likely but there's a high enough chance of that happening.
47:41It does look like a really good investment with kind of growth. It wouldn't be like a venture fund for a growth fund. That's pretty much, you know, that's what we told our LPU would do. And so if we can do it, whether it's on Revolut or something else, you know, it doesn't really, I don't think it matters so much. But I think what's new now and what is possible now is that you can have a few companies that become really truly global and platform scale. and when that happens the size of those outcomes is just a lot larger than what anyone would have predicted before and so that's why the VC model has morphed into that but again we're talking and I think that's where all the attention and a lot of the money is going but realistically there are only by definition there are only a handful of platform companies if every company is a platform company that doesn't mean anything right very few companies can have the kind of growth trajectory that an anthropic or revolution or OpenAI have.
48:37I mean, this is really rarefied earth and that's what will drive a lot of the outcomes for the venture industry. But there's also a lot of fantastic companies at a smaller scale that are going to generate amazing returns for us.
48:53Martin Mignot:Well, we're out of time. I want to finish on one last question. You now live in New York. You've been living for a number of years. What's the number one thing that you miss about Europe? Trains. Trains. Working trains, fast trains. you know I was in Paris this morning and you know being able to kind of wake up in the morning get in the Eurostar spend the whole day here being back at home with my family in the evening it's I don't think European you joke you know you laughed about it because to you it's normal well it's not you can't do that in the US and I find that absolutely it is ridiculous it is totally ridiculous and so yeah If the US could fix their high-speed train system, it would be the best country on earth.
49:37Martin Mignot:Well, thank you so much for your time. Thank you for having us. It's been great. Thanks a lot. I appreciate it.
From the publisher
European founders are still going to the US earlier than ever, but AI is now changing how the companies they build actually operate.
Martin Mignot, Partner at Index Ventures, looks at this shift from inside a global firm working with founders on both sides of the Atlantic. For founders and CEOs, AI is becoming much bigger than a tooling question. The challenge is to rethink how the company works before the old structure slows them down.
The Scaling Europe show is presented by Deel - check them out here:
https://get.deel.com/ruynb7o4lfjk
Sponsors:
Mishcon: https://www.mishcon.com/pop-ups/scaling-europe
Chargebee: https://www.chargebee.com/events/beelieve/london/2026
SurrealDB: https://surrealdb.com/
Airwallex: https://www.airwallex.com/uk?utm_source=other&utm_medium=partner_referral&utm_campaign=v01_emea_multi_ib_dg_prtmk_mofu_scalingeurope
Timestamps:
0:00 - Introduction
0:32 - European founders going global earlier
2:12 - How AI is changing company building
3:02 - CEOs learning from San Francisco
4:39 - Founder mode and AI leadership
7:20 - How Index helps founders through the shift
9:48 - Why Index invested in Anthropic
13:04 - Index’s AI strategy
17:17 - Assessing AI founders
21:07 - Explore vs exploit in AI
22:19 - Index’s AI portfolio
24:27 - Why Index operates as one global team
27:24 - The trade-offs of a global partnership
