E541 | Ties Boukema, Dawn Capital: Building Rolodex: Why Venture Needs Its Own Tech Stack

8 Aug 2025 · 51 min

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EUVC Podcast Episode Notes

Episode Overview

  • Title: E541 | Ties Boukema, Dawn Capital: Building Rolodex: Why Venture Needs Its Own Tech Stack
  • Hosts: Andreas Munk Holm and David Cruz e Silva
  • Guest: Ties Boukema, Head of Data, Tech & AI at Dawn Capital
  • Focus: Insight into developing technology within venture capital (VC) and the role of AI.

Key Themes

  • Personal Journey: Ties Boukema shares his life experiences, including five brain surgeries, which have shaped his perspective and drive.
  • Technology in Venture: Discussion on the inadequacy of current software in VC and the necessity for tailored tech solutions.
  • Building Rolodex: Introduction to Rolodex, an AI-powered tool designed to enhance relationship management and deal sourcing.

Highlights of the Episode Introduction to Ties Boukema

  • Background: Grew up with hydrocephalus, underwent multiple surgeries, which shaped his resilience and outlook on life.
  • Career Path: Transitioned from law and statistics to working at Google, focusing on AI and health before moving to venture capital at Dawn Capital.

Perspectives on Software in VC

  • "Surprisingly Bad" Software: Commonly, VC firms utilize subpar software that doesn’t adequately meet their needs.
  • The Challenge of Early-Stage Data: Addressing the misconception of having no data at early-stage investments and emphasizing the need for better software solutions.

Building Rolodex

  • Motivation: Inspired by a missed deal due to lack of proper relationship mapping.
  • Functionality:
  • AI-driven insights for meetings with founders, including competitor analysis and relationship mapping.
  • Automates the preparation of meeting notes and suggests relevant questions based on past interactions and network connections.

Insights on AI vs. Traditional Expertise

  • Skepticism About Experts: Challenges in trusting traditional metrics and expert opinions in favor of a more data-driven approach.
  • Augmenting Human Relationships: Emphasizes that while technology can enhance capabilities, human relationships remain crucial in the venture landscape.

Key Discussions Life Experience and Perspective

  • Near-Death Experiences: Ties discusses how facing mortality has given him a unique edge in managing pressure and viewing setbacks in a less daunting light.
  • Pressure Handling: How personal struggles have translated into resilience in a high-stakes environment like venture capital.

Technology Adoption in Venture Capital

  • Shift in Mindset: Movement from skepticism towards a belief in the importance of integrating technology to enhance human capabilities rather than replace them.
  • Cultural Resistance: Many VC firms are slow to adopt new technologies, which can present competitive advantages for those willing to innovate.

The Role of Checklists and Processes

  • Influence of Atul Gawande: Ties references the significance of checklists in high-stakes fields like surgery, advocating for similar approaches within venture capital to improve processes and outcomes.

Concluding Thoughts

  • Final Reflections: Ties acknowledges that while personal relationships are fundamental, the future of venture capital lies in the symbiosis of human insight and technological advancement.
  • Inspiration: The importance of continuous learning and adaptation in both personal and professional contexts.

Key Learnings and Takeaways

  • Embrace Technology: VC firms should invest in technology that not only augments human capability but also streamlines processes.
  • Data-Driven Decisions: Cultivating a culture that values data can lead to better investment outcomes and relationship management.
  • Be Open to Change: Acknowledge the necessity of adapting beliefs based on experiences, particularly in methods of evaluating potential investments.

Final Recommendations

  • Book Recommendation: Ties endorses *The Checklist Manifesto* by Atul Gawande for insights into the importance of systematic processes in high-pressure environments.

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Transcript

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0:00My most formative experience is that I've had five brain surgeries in my life. I was born with a brain condition called hydrocephalus, which means you have too much water around your brain. T's Bukema turned surgical survival into venture dominance. But even the sharpest minds miss million-dollar deals. And we present the findings back. The founder goes to this amazing stuff, super useful, really blown away. But also I took money from Index three days ago, so maybe you guys. This isn't about replacing human relationships. It's about amplifying them beyond recognition. I held the opinion quite strongly that really you should be able to take the human kind of out of a lot of pieces in private markets.

0:37I think relationships and humans are key and will remain key. The big opportunity, I think, is augment the human with technology. The future belongs to those who embrace surgical level discipline. Even the world's elite know this truth. And even Harvard neurosurgeons, where it's hard to make the case that they're not motivated, they're not smart, and they're not skilled. they increasingly rely on checklists and process. Discover how surgical discipline meets AI advantage. The full story of Thais Bukema and Rolodex. Listen now.

1:27room you want to be in. No pitch decks, no posturing, no script, just honest conversations between GPs and LPs. The upcoming AMA on the 21st of August is held by Jonathan Sibelia, partner at Bullhound Capital and one of Europe's most experienced LPs. Before Bullhound, he led fund-to-funds and secondaries at Molten Ventures for 16 years, deploying into 80-plus VC funds and backing breakout names like UiPath, Revolut, and Ledger. Jonathan brings a rare dual lens of direct investments and secondaries across thousands of fund reviews and real DPI outcomes. This is your chance to ask one of Europe's sharpest LPs how they really assess managers, secondaries, exit strategies, and what most GPs still get wrong, or anything else you're dying to know.

2:17Access to these AMAs are limited to EUVC community members. Don't miss your chance to be in the room. Head to eu.vc forward slash subscribe to save your seat. This was their final job. Tear down this wall. It's more than just an alliance. This is a union of values. Let's start acting. This show is not investment advice, and the hosts of this episode may be invested in the funds and companies featured. Hi, everyone. Welcome to EUVC, the podcast championing the true narrative of European venture showcasing the breadth, depth and ambition of our ecosystem. Today, we have Thys Bukema with us. Thys is the Head of Data, Tech and AI at Dawn Capital.

3:05Dawn Capital has a fund of roughly 700 million US dollars, so that's 620 or so euros. Their AUM is close to $2 billion in dollars, HQ'd in London, focusing in Series A and Series B. Their focus geography is Europe. So of course, very much aligned with the ethos of our little podcast here, very much focused on B2B software and fintech. Some of the notable investments, and in this case, all of these notable investments are unicorns, which we can say with all of our guests. So that's kind of cool. We have Dataiku, Contexa, Mimecast, MinuteMedia, iZettle, Tink, Neo4j. And of course, there's many other notable investments, but I'll leave it at that.

3:44Tis, do you want to add anything that I left out that you think is incredibly important to mention? I think the most important thing to mention is that I'm very excited to be here. It's quite surreal to be on the podcast. That's my favorite, you know, sort of commuting podcast, which is also pretty much the only type of podcast that isn't here. In terms of Don, I think you've done us justice. we are a B2B software investor that purely invests in European founders with global ambition. And I think like just to add some context to our listeners and viewers, right? This is an interesting podcast episode because we're going to talk about AI.

4:20Well, everyone's talking about AI, but we're going to talk from a slightly different perspective, more focused in our industry, right? So here we have someone, I don't know if you're the only one, but you're probably the only one I know, that is really focusing a lot of time and resources in building AI for a VC firm, right? And so that's really going to be the focus here. We're not necessarily going to talk about AI trends from an investment perspective, but really from a practitioner perspective. So that's kind of cool. If you're excited about that, stay tuned, subscribe, follow us. You know the drill.

4:54Thys, I like to start with kind of showcasing the person that we're featuring. I was very much surprised to hear about your life story. And I don't want to kind of ruin it for anyone. So I won't hint into anything. But could you give us a bit of background on you and how you came to where you are today? My most formative experience is that I've had five brain surgeries in my life. I was born with a brain condition called hydrocephalus, which means you have too much water around your brain. And my condition was very, very severe. So the best way how I can describe how I felt on a day-to-day basis is as if you had espresso martini, a shot of tequila and three glasses of white wine, you have to wake up slightly earlier than normal the next day.

5:42You just feel a little off all the time. But then three or four times a week, I would get migraine attacks. And because the root cause of them is slightly different, the intensity would be very different. So part of the migraine attacks would be temporary blindness. So my vision would just go sometimes with one eye, sometimes both. My arms or legs would stop working well. The pain would be bad enough to vomit. I hope no one's eating well as this. And sometimes all of the above. And it could really take hours or sometimes even a full day to sort of regain full motor skills or vision. So I was a very, very sick kid.

6:21kid. So also I think when I, when I tell this to people that don't have kids, they go, oh, you poor thing. How did you make it through? When I tell this to people that have parents, they're like, well, I hope you really spoil mom and dad on father's day and mother's day, which I, I try to do. I don't think I would be against this, but I do my best. You know, I grew up incredibly sick as a kid. Like it's, I can probably count on one or two hands, the number of weeks where I was able to attend a full school day, five days a week. and on top of that i always expected to die very young because you know the the pressure in your brain to be bad enough where your your body thinks you know i'm sure vomiting is going to make you feel better or where your vision goes is very very intense so i always found this scary growing up because the pain is horrible and it would it would come on quite quickly so some days i would wake up and i'd feel you know my version of fun which is basically really hung over and then it go from really hungover to really the most crushing pain i think i've ever experienced my pain tolerance is high i broke five bones in my right hand during a mountain bike race and i finished a mountain bike race i was 23 so i think generally i don't suffer from man flu but this this was i was just extremely sick kid and then at age 20 i'm doing this um in the chip in New York and I get brought to the hospital against my will.

7:43And there's this American doctor who basically says, you know, I've interpreted the scans and our condition, my interpretation of your condition is different. And you should have surgery. I have a long talk with my parents where I also explained to them that I was sick much more often than they realized. So I think typically, right, when you have a child or a loved one and they're sick a lot, it's useful to know that they're sick and the extent to which they're sick because that you can do something, right? Like if I come home and my fiance is like, you know, passed out on the floor, then obviously I want to call an ambulance.

8:15It's just that I'd spend my entire childhood in hospitals and ambulances. I've had more than 280 overnight stays in a hospital in my life. So I really, and that excludes the day trips, right? So I really spend my entire life in and around hospitals. And my poor parents obviously would get very upset when they would see me, right? Pass out on the floor. or they would hear that actually I came home 15 minutes after leaving for school and spent the whole day being sick. So I tried to hide it from my parents as much as I could. So like I would, if I'd be sick all over myself, I would get rid of the gym clothes that I was sick in.

8:53And then my parents would sometimes ground me. They're like, man, you're so irresponsible. I can't believe you lost another pair of shoes. Like you really need to become an adult at some point. So I tried to shield my parents as much and hide the extent to which I was sick as much as I could growing up. So once they understood that, they were also supportive of the surgery. And the surgery at age 20, New York, just completely fixed everything. So I weighed 67. I'm like 6 '5 or 196 meters tall. I was 67 kilos, like 165 pounds or something when I came out of that surgery, which is extremely, extremely thin.

9:30It's not a great look. I wake up at age 20. And even with 230 plus stitches in my head because I mean it's proper brain surgery right like you really could go open install a pump and it goes to your stomach like it's not a pleasant experience and even then I realized I felt so much better than I could remember feeling so I really had this Walt Disney second lease of life especially when you're obviously in the big apple you're like you can be anything you want and now I really felt unencumbered by my by my body because yeah I did well on standardized testing when I was young. In the Netherlands, we don't have SATs.

10:08We have something called the CETO. I scored a perfect CETO when I was 13, despite average school attendance of three, four days a week. I just always found it very frustrating. I'm like, I have a decent engine. It's just stuck in this shopping cart trolley with three wheels. And post-surgery, I was like, I have a car, right? The car engine is in the car and I can do anything. And of course, that's not true. There's a lot of things I suck at, but I really felt like, what do I do with my life now? And then a friend of mine said, well, you know, you're good with numbers. You have a very preppy haircut and you're just very relentlessly optimistic.

10:43And you're gritty, right? You can deal with crap with a smile on your face. And if someone's going to ask you to please redo the entire PowerPoint presentation 2 a.m. on Saturday, you will handle it with much less attitude than many people your age. So I'm like, great. So I now have a vision for where to go in life because I'm not going to die before 25 and I won't be in a wheelchair. I reached out to about 74 different bankers and people on LinkedIn, basically pitched my story. A couple of people were nice enough to have coffee with me. One of them worked at Deutsche Bank, ended up getting an opportunity to intern at Deutsche Bank.

11:17The two internships there. For the first time post-surgery, my health was getting slightly worse because working till 2 a.m. is quite tough and maybe I'm just lazy. I didn't handle it very well. Learned a lot. So I thought that was exciting. Very sharp people. They worked very hard. Ended up pivoting into tech. Started my career afterwards at Google. Went from sales to strategy and operations. I did a law degree and a stats degree. So that's why I have a weird profile all around. Went from sales to strategy and operations role, which includes a lot of data. Taught myself data science and data engineering to move into Google Health.

11:53basically work at teams that apply AI for medical imaging, similar to the brain condition that I had. The last job I had at Google was running a big revenue reporting team. So basically target setting, reporting pipelines, creating the slides for executives, creating the dashboarding, just to steer the business in ads for a couple of billion dollars of revenue. And then I was at a dinner with a bunch of people in London that work in Bench Capital. and I was like, these people are so smart and they work so hard. Why do they all have to leave early to fix quarterly reporting? Like how, what do you need in 20, this is 2023 at a time.

12:31I'm like, you know, my team and I ran a team of like three people. We can do 14 executive presentations plus all the BI decking, plus all the sales bonus payouts, just the whole thing on like 30 plus billion dollars of revenue. And it's pretty seamless. And the way that these people are describing how this core process runs, just sounds like a nightmare. So I got hugely excited about basically taking my skills and just sort of knowledge about how you can transform processes with software and AI and applying that in a completely different context. I interviewed with a couple of firms. Anyone that's met Norman, especially who's the founder and general partner at Dom, he's a very big personality.

13:10And when you meet him, you want to work for him. So I really liked Norman. I really liked the other people I met at Dom. And there's just a real curiosity about doing things differently. So he was one of the few GPs that I spoke with when I was interviewing that was totally happy to try and do core reporting in a completely different way than all the other funds do it. And more similar to how it's done at Google. And also was open-minded enough about things like Rolodex, which we'll talk about later. Well, I think I have to start off by saying thank you. You shared a lot there. A lot about some tough years in your life as well.

13:47which is a big chunk of it, right? I think the only, you know, I don't want to dive too much into it either, but I guess the only one question I have is really how has that changed your perspective today? And of course, personally is interesting, but also as, you know, as someone who's active in venture, do you think it gives you an edge in any way or not at all? It's just a matter of perspective and philosophy. when you've genuinely feared for your life for 20 years, and had another surgery a year and a half ago, it just gives a lot of perspective. And I see this with a lot of people that work at great funds, and they were top of their class in high school, and then they were top of their class of Cambridge, and they were top of their class at McKinsey, J.P.

14:33Morgan, and then they top of the class at the first fund, then top of the class at the second fund. And then they get told on a specific deal or thing, like, hey, this just wasn't up to the bar. And they just really struggle with this. And I think because I've just really been faced with near-death experiences for 20 plus years, by comparison, when you wake up and you're like, my legs don't work, it's okay if my technical product doesn't work. Like I have a high par and I want to achieve great things, but I think I handle some of the inevitable snags you get when you're trying to build technology and apply AI in a way that really elevates how we run everything at DOM.

15:11you know you're going to break some eggs if you're going to try to make an omelet like this there's also no one else's homework to copy where we really have some certain areas where we really do things differently than all the other funds and sometimes it doesn't work sometimes it's harder sometimes you get the feedback that isn't you know oh my god this is amazing but you get hey your v1 is you know i'm really a v1 that's a big piece and i think the second one is there's a healthy skepticism against experts in some way and like how things are done because for the first 20 years of my life, every single hostel I would go to.

15:45And I was, you know, I was, I really can't overstate how sick I was as a kid. And the doctors were like, well, we reviewed the guidelines. And according to the guidelines, which is how the other hostels do it and the other doctors do it, you're fine. And I sort of see similar bits in VC where I think on how people accept the technology that's available to leverage relationships or to prepare meetings or to do, you know, important things like get the quarterly reporting deck in order. Most funds have a pretty awful process compared to what's possible. They're pretty awful. You know, they just don't leverage technology and AI well at all compared to what's really possible.

16:22But everyone does it this way and everyone's sort of fine with it. I think I have pretty thick skin. If I really think you can do it differently, you should do it differently, then I'm happy to keep banging on the drum to do things differently. And then I think finally, there's been a lot of moments in my life where if things had gone differently, my outcome in life would be radically different. So, you know, I try to work hard and I try to be kind to people and I take my job seriously and I go to bed on time. I really try to play my cards right. But if any of my surgeries would not have happened or went poorly, or when I was five, my parents got very strong advice to send me to special needs school because I was so sick.

17:06so I wasn't doing particularly well at school at the age of five. And my parents, I think quite unreasonably, disagreed with the teacher, disagreed with the principal of the school. It escalated to like the regional school board where my mom and dad told all these people that have been working in academics, like, you know, education their whole life, right? And they're not bad people. And they disagreed with all of them and said, no, no, no, our kid doesn't need to go to special needs school and we're also not bad parents. You know, we're parents differently and you just wait and see in three months or, you know, these will be fine.

17:36But if I had slightly more reasonable parents, I would have been like, wow, 15 experts all disagree with us on this. Maybe this is where I get it from. Or for whatever reason, right? Like if my parents would have at your personal point not had the capacity or the bandwidth to push back really hard. I mean, if I would have gone to special needs school, realistically, I'm much closer to the janitor and the cleaner at dawn than being able to have the humongous privilege of being on this podcast. Thank you for raising the bar for our little podcast here. No, but it's a bit off topic, but I feel like talking about it.

18:11So let's talk about it. This thing around experts, right? And maybe let's connect it to AI right now with the rise of AI. I think it's never been easier to kind of question expert views. You mentioned doctors, you mentioned teachers, right? I think those are very two concrete examples that, you know, people talk about all the time. You know, I have some cousins in university and they were here last week literally bitching about, you know, their teachers and how they could learn things better by just like using ChatGPT or Google or Mix or whatever other AI tools. I had another conversation two days ago with a business partner of mine where he was talking about the fact that he was misdiagnosed for something on, you know, there was some nerve issue that he had and he went to a bunch of doctors, nothing really sorted out, put it in chat GPT.

19:04It suggested some exercises. He got better two days after it. And so it's never been easier to disagree, right? or the question, how do you think about this from not necessarily a technological perspective, but also from us as a society? Where is this going to lead us to? It's a very big question. And I'm not... I know, it's a very big question. And you might not have what you think is an answer. So maybe how do you think about it as well? How do you face life knowing that? I think that I find an interesting paradigm shift now, and I'm going with something relatively tactical, which is like, I don't know, I get asked to prepare research on something.

19:45You can now produce a plausible sounding, pretty big piece of research just so quickly, right? Like you throw it in Chetupiti, you spend five minutes on the prompts, you come back an hour later and you have 15 pages. You can produce stuff a hundred times faster than you could ever read stuff. You can read it much slower than you can make sense of a lot of stuff. So I think there's an interesting piece now where, and I find it striking with ChagicD, where there's many aspects that are where the use case is fantastic. You can get a lot of value out of it, especially if you don't just do an ad hoc prompt, but you actually spend some time building something with Langchain or you build a product just for this use case.

20:34Where the ratio between value to hallucination gets really, really exciting. I think what I find striking is a lot of people when they talk about where is AI, they talk about, well, I spent five minutes on a prompt in the front end on this very, very broad AI model. And the output wasn't perfect. Right. And I think sometimes you can only tell that the output isn't perfect on something that you know well, like on a topic that I know nothing almost about. I'm like, wow, that sounds really plausible. Right. It's not on something where I think I have a bit of knowledge, right. Like on how to code or something.

21:07This isn't how you do it. Sterile or things sort of the next frontier is that you'll get more specialized builds for some of these pieces. Because for example, one of the products we build is when we have a founder meeting, I want to have a good summary that is deep enough that it's, it's useful, but it's digestible enough that I can read it about what these people do. And even as a massive nerd, I meet founders now all the time. and I am like, man, I'm looking at the website and actually I would need an hour to figure out what do they actually do? What would be the customer for this? I mean, it also tells you how crappy the website is that ideally I should be able to figure this by skimming, but 90 % of the time you can't.

21:53Understand where the competitors are in the space and then also understand how is their angle or narrative or product parity different from the competitors. So this is something where out of the box, ChagpT works pretty crap, especially for finding competitors. It might get better over time. I think also the VC, like what we consider competitors is different than what the average use case will be. So this is, I think, one of those where I hear people saying, well, you know, ChagpT won't get there or AI won't get there because it doesn't work well in the front end. But by spending a month of engineering effort to build something that automatically skins calendars and prepares meeting notes, call it Rolex Intel, about what they do, about who sits on the cap table, about who are the competitors, how do they compare, and then draft some questions at the top.

22:42Out of the box, it seems nice until you actually try using a founder meeting. It's just not good enough yet because we don't do high volume. We don't have 5 ,000 PDRs running around and we churn and burn accounts. Realistically, it's very sort of white glove. But after a month, you can really see how good it can be for that specific use case. Well, let's build on that. So now you're talking about using, leveraging, and building tech within our industry. We typically ask this question to all our guests, three biggest learnings. And in your case, I'm going to anchor it to building tech for the venture industry.

23:22So what have been your three biggest learnings doing that? One learning that I've gotten from, I think, other people that do my job is that I'm definitely not the only one. That's sort of like the only, and Don isn't the only fund that's invested heavily on building their own tech function. It is one of the very few. I think it's one of the industries, one of the bits where actually PE is more progressive than VC. There's a whole bunch of people that now have a proper tech function, invest in it heavily, pay material salaries. The amount of VC funds that I know that are like, yeah, we invested in two ex-Google founders, pre-seed, pre-idea, pre-revenue, pre-everything.

24:01And we gave them 25 posts. And then they're celebrating this. Because they're like, well, that seems reasonable. But then I'm like, well, would you just spend half a million to a million a year to build a function, to build software and set up your software and find AI use cases and build things that would elevate every single person in your firm? They go, oh, that sounds really expensive, man. That sounds really expensive. And I'm like, what are those things? They both have to be true or they're both false, right? Either they're really valuable people and technology is exciting, it's exciting.

24:32And it's worth investing in. Or it's... Well, the other argument we hear, because to your point of PE versus VC, right? The other point that I have heard multiple times is like, oh, well, well, you know, in venture, especially early stage, right? We're investing into companies like there's no data, like there's nothing. PE is very different. You know, they have these depending of what type of PE, right? So that's another argument. I don't know if you want to refute it as well or comment it. I mean, almost all the great tech people at PE spend all their time with portfolio work. Because in PE, especially when you buy out, you'll have majority stake, if not full, 100 % stake.

25:08So that means that per dollar of thesis time or salary, if you improve the portfolio company, you own 100 % the value you create, which makes the economics much more attractive. Also, you would hope that if you buy some kind of, if you do some kind of car wash roll-up play or small IT vendors roll-up play in the Midlands, like I would hope that, you know, the caliber of IT and tech calendar is not first class so that there's stuff you can do, right? I would hope if you buy Asta that you can do stuff on the ERP that's not already in place. Whereas if we would, in fact, if we would be looking at a bunch of founders and I have a conversation with them for two hours and their mind is blown.

25:57They're like, oh my God, I never thought you could do this. We should really not be backing those people. The best technical founders we'd be backing should know should be able to tell me stuff or at least be on par. I think on a lot of the technical fronts. I think one big learning I had going into EC is I, you know, I coming from Google where people love software and they love tinkering with software and they love figuring out little scripts. And like, I remember showing someone at Google that you can automatically color code meetings based on some rules and some logics and some, you know, so that you don't have to manage.

26:31I, I pretty OCD, I like color coding my calendar and you can just set up some logic that this gets done automatically. but he's not enough to do it manually. I remember showing it to someone at Google who worked in sales. And within a week, I'd gone like four emails because then I went on holiday and I'd come back and there's all these people that have like played around with it, had questions, iterated on it, implemented it, rolled it out to other people. Like people really like software. I think even software investors don't have a software background. So I think if you build something, it needs to be great.

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27:06Even if what you're competing against is Excel and manual. The expectation actually, I think, is very high. And I think the second thing is that culturally, a lot of the internal projects that you have at a VC can just go quite quickly, right? So I don't know. We realized that for our LP meetings, the part of our deck, our story around why Europe is exciting isn't very exciting, right? Like we should fix this. So we've decided this. going from idea to now we have a better piece of that or changing something in our pipeline or changing something in our CRM management goes pretty fast. When you do tech builds, it can take six months for some of the plumbing and there's six really tough months without seeing much change in the front end.

27:57I think this is a cultural appetite that a lot of funds don't have just because in order to build great products and great AI applications and technology, you need to have a much longer breadth than you do, I think, to be an investor. Or I think you can be pretty great by being relatively reactive. It's interesting your point about it having to be great because I feel it goes a bit in a perfect or whatever the exact word was that you used. It doesn't really matter. but it goes a bit against the grain with like this this 10 trends around like vibe coding and whatnot and like but you know kind of if if we start tuning in into you know content and whatever that's being produced around ai generally speaking right not specific to venture it goes a bit against the grain right it does what are the pros and cons there um for us as an industry right because let's be honest most of european ventures early stage most of that is emerging managers most of it is not perfect.

28:53Most of it makes mistakes by design. And so it feels like there's something here that doesn't really hold up in the narrative. I don't know. At least to me, it feels, I don't know if you have the same feeling or not. So it depends on the cultural DNA. I think a lot of the established funds might just be slightly more old-fashioned. Although then again, you look at the profile of a lot of people that start funds and they've also worked at McKinsey for a whole bunch of years. And it's also not like they spent 15 years running tech teams at Palantir before. So I think that probably holds true across.

29:24I think venture capital is just, I think it's relatively new to tech and probably embracing tech and leading tech teams and having engineers as a core piece of the corporate DNA. I think what makes me excited about this is, this might not be the nicest thought, but I care less about what the other funds are doing. To me, it's great that a lot of these other GPs are really dragging their feet and unwilling to commit to actually just getting a tech function in-house and are unwilling to just get paid good market salaries for a couple of great people versus try to get some cheap graduate and dip their toe in.

30:01I'm like, if it's 2025 and you still are so on the fence about technology and AI that you need to dip your toe in for your internal hire, great. There's one less competitor as far as I'm concerned. I think there's a lot of opportunity there for us by the fact that a lot of other firms are so risk-averse or culturally resistant. What do you think, and this is more kind of you advising other teams and other firms, what do you think are like the easy pickings in terms of tech adoption in venture? And that might be build or buy, right? It might be both a mix, whatever, right? What do you think are the easy pickings?

30:39building software and again this goes against the vibe coding piece i think most software sucks uh most software didn't get billed with the ambition that it's gonna suck right like most apps for your phone people have big dreams and great ideas and it's just surprisingly hard to make something that people really want to use if you can buy it's almost always cheaper if you're a fund at least the size of dawn maybe it's different if you're like a four-person shop or a two-person shop and then also distribution and enablement and all this kind of stuff is really easy because, you know, there's more people at the table, so, like, then it's easier.

31:15But I think once you get to Don's size and there's about 30 people involved, 10 investors, 12 investors, some of them have obviously been humongously successful doing things a certain way, I think then making something that's going to work well for a big chunk of those people is non-trivial. I started rambling a little bit. Can you remind me? Easy pickings. What are the easy pickings? Whether that's build or whether that's buy, it doesn't really matter. The easy pickings are make sure that you have a CRM that you have set it up correctly. And I think if you're not, if you don't have an engineering training or a data, proper data background, right?

31:52Like proper data engineering or something. I think it might be hard for you to see all the possible opportunities. Because we've done a lot of sort of like power drills or automations on top of Affinity or CRM. But the way that Affinity is now set up, and we just squeeze a lot more juice out of it than we did two and a half years ago. So I think that is easy picking. There's been some things where I was like, we can just buy a solution for this in terms of how we message, in terms of how we do, how we keep track of people. There's a bunch of things where you can buy a solution and pick a better solution also on your finance system.

32:26I think for a lot of the builds, I found it a, and I came in this with typical arrogance of an ex-Google engineer that did a lot of data engineering and a lot of NT resolution. And I'm like, well, I did the hard stuff at Google and now I get to sort of, you know, hack something together in a couple of months. They're going to look at me like I invented fire. And I thought that data engineering was a surprisingly hard problem. If you look in Affinity, you type in a certain person, there will be like five versions of T-SPELC map. Because there's one with my Gmail address, one with my site business address, one with my Don address, one with my Don with a.co.uk address.

33:03And there's different meetings. And the data is incredibly fragmented because each entity, each t-spout client is very, very fragmented. In order to pull that together and present that in a clear, easy view, like how we're now doing with some of these Rolex products, was a fiendishly difficult task. And we end up building this massive entity resolution solution, which we probably work on for six months, which involves a whole bunch of AI, not LLMs, but like really forecasting models to try and figure out what if it's this type of name, what is the type of, you know, if it's a Spanish sounding name, actually the logic for which piece of the string needs to match.

33:40It was five years harder than I would have thought it would be. So I think when you really start building something exciting, I think you really want to get some kind of professional help and have that person in-house that's fully committed, that has a probation and wants to build a career there. So also they can take all the feedback in passing. I'm calling it feedback. Often it's just shit, right? For the first couple of months until it gets for months, for half a year before it gets good enough. Let's talk about Rolodex a bit. So first time I heard about Rolodex was in Milan with you, actually.

34:11I had the pleasure of hosting a panel. I believe it was at 0100 Milan in October-ish or so last year. And we had the pleasure of sharing the stage with a couple of other speakers. So we couldn't really dive deep. So for those that weren't there and had never heard of Rolodex, give us a quick rundown and share some insights as well of what is it? How does it help you as a firm? What were some of the struggles? Any lessons learned? All the good stuff. I naively, when I came into Dawn, thought the big problem was sourcing. And with sourcing, I mean, surfacing relevant companies for investors to have to look at and finding the right signals outside.

34:52And now, if you're really early stage, I see the value potentially in going really deep. We have a nice tech stack on there to make sure that we don't miss anything and we see everything relevant in the market. But I think the real value in VC gets created through relationships. And the light bulb moment I had is maybe two months in. It was an exciting fintech deal in Nordics. The deal team was trying incredibly hard to get in touch with founders. They kept getting basically blown off or pushed back a little bit. By the time we finally get in front of the founders, and Don prides himself on being a very research-heavy, you can call it nerdy, but very research-heavy firm.

35:29So by the time we show up to the founders, we've spoken to for an in-person meeting will often have consulted external experts that are very expensive, reach out to people on our network, done our own proper... We do a lot of research. And this is expensive from a time perspective and just from a cost perspective when we bring in external resources. And we show up at this founder call and we present the findings back. And the founder goes, this is amazing stuff, super useful, really blown away. But also I took money from Index three days ago. So maybe see you guys. and um norman the the co-founder don he comes back the next day and he's moaning about this at his board meeting he's like man really annoying and i feel like we have such a great sort of right to win we've you know we've had eisdell and things we've had two b2b european payments unicorns like why didn't they pick us really wish we were earlier and then two people on the board say well norman you know anna and i are angel investors why don't you just ask why we've been on this board for six years why don't you just ask it we would love to give you introduction because we love you.

36:29We love Don. You guys are great. You have these big unicorns. Like, why didn't you ask? Right? So he comes back to the deal team and we were in a much smaller, much less fancy office two and a half years ago. So you could hear fruitful language throughout the office basically going, why didn't you ask me? Right? And there was a pass. Why didn't you ask me to make the pass? You know, like, well, how am I supposed to know that you sit on a board with someone that's an angel investor, which is fair enough, right? Like It won't show in Affinity. It won't show in your CRN. It won't show on LinkedIn.

36:59It won't show on Bordex. But it really seemed like a knowable problem to me. So the whole genesis of Rolodex is rather than trying to take the human fully out of the loop with AI-driven sourcing, it's about how do you supercharge relationships through AI. So there's different ways how Rolodex had it existed two and a half years ago when it helped Norman get in and us win the deal. and it sends a automated piece of media until via email in the morning. This is basically your pre-read for the day. If you have founder meetings, it'll tell you what do they do, who sits on the cap table, how would we know those people on the cap table or advisors.

37:40It drafts questions that make you hopefully sound smart and understand the space better and get closer to an equity story for the business. It helps understand competitors. It just helps you have a much better call than you could for first and second call. and realistically you can't otherwise. And now that I'm doing founder calls, I realized how much I was flailing in the dark sort of before this. If you would have an investor meeting, like a board, it'll flag the relevant deals that you should talk about, whether they're in affinity currently or not. And if they're in affinity already and there's some notes, then like it would surface that, hey, actually you sit on the board with Anna, you have a board meeting at 6 p.m.

38:16Anna's an angel investor in FinTechX that we've been trying to get in touch with. So Norman would have just seen a big red target deal, you know, talk to Anna very obviously in his face. I would have been able to organically bring this up in the board meeting. The second way how it would have helped us get in is we've represented our network as a knowledge graph. This has who we've met, who've worked at Don, you know, boards we sit on, advisory roles we hold, phone contacts. People can share phone contacts and WhatsApp contacts in a privacy safe way so they can screen out everything that they're not willing to share.

38:51And there's a proxy for how strong that relationship is on WhatsApp. But the combination of calendar data, you know, boards, co-investments, work experience, that kind of stuff, and WhatsApp contacts per person gives us an unbelievably good view of who we know really well and which of those connections would have a high fidelity path to this fintech, to David at EUVC, at, you know, whatever it would be. So the deal team would have just run Rolex Access the second they're realizing they're getting Stonewall. Now it's actually running proactively for a lot of interesting deals. So they would have just surfaced, hey, actually, Norman has a fantastic pass.

39:29It's just, it's sort of a two hop kind of thing. And then the final one, we typically write checks between like 8 and 40 million US. So there's really a big ecosystem of earlier stage investors. I think it's very important for us to be very deliberate about which of those earlier stage investors have a good track record, right? Who gets follow-up rounds, who's done the bigger rounds. Just a quantitative view of sort of an approximation of sort of the power score, both for deal partners. So you can also flag the rising stars coming up through the ranks. I think it's much more meritocratic because it doesn't matter what the fund name is.

40:07is really about which deals do these people do. The same thing holds for angels. We map this with who do we meet and who do we have, what separate relations you put. And then as a team, we could just divide and conquer with everything in front of us and be like, there's certain nodes in the European ecosystem that really matter. And we are not close enough with them. And, you know, again, this might be less of a problem if you're a two-person fund to understand who's close with who. But when you have 12 investors and some people join and some people leave, it becomes harder to make, to be 100 % confident that you're allocating time as proactively as possible.

40:42So we have this thing called Rolex coverage, which we have a data-driven youth, sort of a power score per investor, per fund per angel investor. And then we can just assign owners to certain people and be like, Henry, your objective for next quarter is to have catch-ups with these 16 people and to try and make friends with those five. And if you fail to make friends with those five, you know, basically you tag someone else in and you try if daniela with a warm smile can break these open or if genu can break these open or whatever it would be right so we're much more intentional also now for events and like you did the whole thing interplays right so also then when we do an event this is this is another painful one about this fintech deal we had hosted two of the founders at a summer drinks event like two months prior but this doesn't pull through right because gatsby doesn't talk to affinity and this is also what's useful to have a tech person because they can set up the plumbing.

41:33But we had them there. And at the time, we already thought they were exciting. So what should have happened is that before the event, you run the guest list. As people come in, they get tagged by reception. So Redepture will be like, hey, Henry, this deal you're really keen on, or hey, Norman, this person's coming up. And you can even chat strategy before. So we do this much, much more cleverly now, where we run Rolex Intel before events come in. We're much more data driven with events invites as well. Because like, this really drove me up the wall. We do these fancy dinners in Paris, Michelin star places.

42:08And then it's just a blank sheet that's like, well, let me know which, you know, SaaS or AI founders in Paris we should invite. This is an awful way to figure out as a starting point. Awful way, right? Because like in between your sixth and your seventh meeting, you're hoping that the investor is like, has a perfect memory and stack ranking. I mean, the first cut should be data driven and tech enabled. Because it saves time and it helps you figure out gaps. And you can go through with a marker and be like, well, that person's already coming to ski trips, maybe not. Or that person we had an awful experience with or I heard.

42:40There's always a qualitative overlay, but the starting point should be tech-enabled. A lot. A lot there. Thank you for sharing that third one. That third one is very interesting. And I think where, and you mentioned this, like where things get really interesting is when they become synergetic, all of them, right? When they connect all of them to each other. I want to ask this, and I think you've hinted to it a tiny, tiny bit, which is kind of what is a strongly held belief that you've had that you've had to change your mind on recently? I don't know if it's connected to venture or not, but if it is even better.

43:14I held the opinion quite strongly until about two and a half years ago when I actually started working at DAWN that really you should be able to take the human kind of out of a lot of pieces in private markets. And I think on honestly, anything from actually deciding do I want to back these founders to sourcing them to knowing what's exciting. I think relationships and humans are key and will remain key. The big opportunity, I think, is to augment the human with technology. So what I mean by that is, in November, earlier this year, we announced an investment in a company we did called Deep Dots.

43:57Headcount on Deep Dots was kind of flat. Earlier stage investors were good, but it's not like a Sequoia seed or something where everyone in market gets FOMO. TAM is interesting. Website was a little crappy at the time. The reason we got hugely excited about this is because I worked with Nima, one of the co-founders of Google. and Nima is the sharpest, most founder profile person I have worked with in five and a half years at Google by quite a bit. Part of why I got excited is like, it's B2B software, it's European. Nima has a monster ambition. He's going after Big Tam. We should talk with Nima.

44:33I don't see possibly how outside in you would ever get that type of information and get the type of reference outside in about a founder, right? Like you can analyze what they've written on LinkedIn and tell them a voice. us about nothing will come close to actually the power of relationships there. What's just, what would be silly is like, if the deal team would have passed, what are the reasons we managed to get in touch with it? I got pulled into this deal is because someone said, hey, there's this deal done by Nordic. You see that we like, and you have a WhatsApp relationship with Nima. Can you tell us about Nima?

45:04And I'm like, oh crap, you found the company. That's huge. You know, we should catch up. The fact that humans are core in private markets and I think will always remain core in private markets is something I was very skeptical about two and a half years ago where I thought it's going to be full money ball, it's going to be full quants, both for selection and for investment processes. I think there's so many variables and there's so little commonality actually across the 10 unicorns or something we've done from Founder Dynamics, from TAM, from how they come across from, and also from our misses.

45:40There's actually, we do a proper post Morton for a lot of the misses. Some of them are painful and kind of hilarious to read, right? It's where you read people go, I don't know, I think the guy's vision isn't that clear. And then it becomes a multi-unicorn. You're like, I think the guy's vision was fine. And that's the biggest thing I've changed my mind on, that it should all be augmenting the human versus trying to take the human out. Yeah. I like that, the transparency topic about private markets, right? It's kind Interesting that you're hinting to that in a way that it's so transparent and that's part of the magic of it, right?

46:13That's what you need to navigate. Yeah. Let's not go down that rabbit hole. Final question. The way I wrap up every single episode now, what's the last book you read that truly inspired you? There's a neurosurgeon at Harvard called Atul Gavande, and he writes in a very clear, very open style. I find some of his books quite tough to read, not because they're poorly written, but just because I've had five brain surgeries myself. So when he talks about mistakes he's made on the operating table, cutting into someone that has hydrocephalus, I'm like, huh, you know, it'd be more than it does. But what I find in Tom mind-blowing, I always thought you need, if you're a manager, right, you need tight process and checklists.

46:57If you are managing not very motivated, not very skilled, not very smart people. And if you have motivated, smart, motivated, smart, skilled people, they figure it out. It's sort of free markets, you know. And in BC, I didn't know to speak for Don, we have very motivated, very smart, very skilled people working. So I thought there's no real point in checklists, but the point he makes is the reason why plane crashes have gone down massively. And obviously there was an Air India flight recently, but statistically, right, plane crashes have just fallen. no pun intended, but fallen off an absolute cliff.

47:38It's so much safer to fly than it was 50, 60 years ago. And part of that is the tech, but a huge part of that is process and checklists. And even Harvard neurosurgeons, where it's hard to make the case that they're not motivated, they're not smart, and they're not skilled, they increasingly rely on checklists and process. And this has been something that I read nine months ago and gave a copy of the book to the GPs, the partners, principles, most people put on. Some people even read the book and were much more intentional, I think, as a result about doing process thinking. So when it comes to writing an IC memo, what are questions we need to have asked?

48:19What is the type of benchmarking that really matters? To try and add more process. And again, there's still a lot of space, right? Because for two deals, maybe in one deal, it's 100 % down to founder and execution. for the other piece. There's a piece of TAM or YNOW or industry trends that plays a bigger role. So there is flexibility, but we're much more process-driven and do a lot more process thinking than we did probably nine months ago. That's cool. I like that. That's also learning for us here at UEC. We also have that vision, you know, very much of, I don't really look at people as employees, right?

48:56We look at them as entrepreneurs in their own right, which as you said, right, leads very well to this idea that we don't need processes. We don't need to manage people. Things will naturally kind of figure themselves out. But yeah, we've learned sometimes the hard way that that doesn't always work. So thank you for sharing that. I haven't read the book. I'll probably check it out soon. I think I'll enjoy it. Anyway, Tis, thank you for joining us at the UVC podcast. I hope you had a good time. I did. It was a joy. It was awesome. Thank you for joining us. To everyone listening in, if you enjoyed this episode, remember to give us a review, positive one, I hope.

49:31Follow the pod and subscribe at UBC, and you can check out Tease and Dawn on LinkedIn, social media, but also on their website. And I'm sure if you reach out, Rolodex will help them follow up the best way with you. Thank you for tuning in. We're hosting exclusive off the record LP AMAs, bringing together the people behind the capital who are shaping the next generation of venture funds. If you're in the middle of raising a fund or planning to and want to understand how LPs actually make decisions, this is the room you want to be in. No pitch decks, no posturing, no script, just honest conversations between GPs and LPs.

50:08The upcoming AMA on the 21st of August is held by Jonathan Sibelia, partner at Bullhound Capital and one of Europe's most experienced LPs. Before Bullhound, he led fund-to-funds and secondaries at Molten Ventures for 16 years, deploying into 80-plus VC funds and backing breakout names like UiPath, Revolut, and Ledger. Jonathan brings a rare dual lens of direct investments and secondaries across thousands of fund reviews and real DPI outcomes. This is your chance to ask one of Europe's sharpest LPs how they really assess managers, secondaries, exit strategies, and what most GPs still get wrong, or anything else you're dying to know.

50:51Access to these AMAs are limited to EUVC community members. Don't miss your chance to be in the room. Head to eu.vc forward slash subscribe to save your seat.

51:03Tear down this wall. It's more than just an alliance. This is a union of values. Let's start acting

From the publisher

Welcome to a new episode of the EUVC Podcast, where we bring you the people and perspectives shaping European venture.

Today, we’re joined by

, Head of Data, Tech & AI at

, one of Europe’s leading B2B SaaS and Fintech investors. With a background spanning law, statistics, Google Health, and five brain surgeries, Ties brings a rare mix of grit, optimism, and technical firepower to Venture and he’s putting it to use by building Rolodex, an internal AI-powered operating system for Dawn.

This is not an AI trends episode. This is an inside look at what it takes to build and deploy technology within a venture firm—and why the industry has been lagging behind.

🎯 This Episode’s Themes:

  • How a near-death experience shaped Ties’ perspective—and his edge
  • Why most software in VC is “surprisingly bad” and what to do about it
  • How Dawn is building Rolodex: AI-powered prep, network graphs, and event intelligence
  • The myth of “no data in early-stage” and why private markets still need software
  • What Gawande’s checklist manifesto can teach European venture

Here’s what’s covered:

  • 02:00 | Meet Ties: From New York brain surgery to Google to Dawn
  • 04:00 | Life Before Surgery: Growing up with 200+ hospital stays
  • 09:30 | A Second Life: What changed post-op—and how it shaped his drive
  • 11:00 | From Sales to AI: Ties' journey at Google and pivot into health
  • 12:45 | Why Venture: “These people are smart… but why are they fixing slides at 2 AM?”
  • 14:00 | Perspective as Edge: Handling pressure, breaking rules, and ignoring experts
  • 17:30 | AI vs Experts: The false trust in tradition—and how AI challenges it
  • 20:00 | The Speed Mismatch: We can produce info 100x faster than we can understand it
  • 24:00 | Building Tech for Venture: The reality, the resistance, the rewards
  • 29:00 | Buy vs Build: Why VC firms should think like operators, not tinkerers
  • 32:00 | Rolodex Origins: The deal Dawn lost—and what it taught them
  • 36:00 | Entity Resolution Hell: Why syncing your contacts is harder than you think
  • 40:00 | Rolodex in Action: Deal prep, relationship mapping, board meeting alerts
  • 44:00 | Quantifying Network Power: How Dawn tracks angels & co-investors
  • 46:00 | Strong Opinions, Loosely Held: Why Ties changed his mind on VC’s “human core”
  • 50:00 | The Checklist Revelation: What brain surgeons taught him about process

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