20VC: ElevenLabs Hits $200M ARR: The Untold Story of Europe's Fastest Growing AI Startup | The Real Cost of AI from Talent to Data Centres | How US VCs are in a Different League to Europeans | The Future of Foundation Models with Mati Staniszewski

8 Sep 2025 · 1 h 14 min

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In short

Podcast Notes: The Twenty Minute VC - Episode on ElevenLabs

Episode Overview

  • Title: 20VC: ElevenLabs Hits $200M ARR: The Untold Story of Europe's Fastest Growing AI Startup
  • Guest: Mati Staniszewski, Co-Founder and CEO of ElevenLabs
  • Highlights:
  • ElevenLabs has achieved $200 million ARR in just 10 months, following $100 million in 20 months.
  • The company has raised over $350 million with a recent valuation of $3.3 billion.
  • Discussion includes insights on AI model development, talent retention, and the venture capital landscape in Europe versus the U.S.

Key Highlights

  1. Growth Journey
  2. Rapid Revenue Growth:
  3. ElevenLabs reached $100M ARR in 20 months, then $200M ARR in just 10 months.
  4. Currently aiming for $300M ARR within 5 months.
  1. AI Model Discussion
  2. AI Models and Their Trajectory:
  3. Questioning if AI models are plateauing or still evolving.
  4. In narration, there may be diminishing returns on new model generations.
  5. Importance of product development alongside research.
  1. Competitive Landscape
  2. Why OpenAI Can't Beat ElevenLabs:
  3. Focus on a narrow niche in voice AI, allowing for deeper expertise and specialization.
  4. The small pool of top researchers in voice AI gives ElevenLabs a competitive edge.
  1. Talent Wars
  2. Retaining Top AI Talent:
  3. The challenge of retaining world-class AI researchers amidst high competition from U.S. firms.
  4. Strategies for maintaining a motivated and cohesive team culture.
  1. Launching and Marketing
  2. PR vs. Product:
  3. Highlighting common pitfalls startups face when launching products.
  4. Importance of aligning product launches with significant announcements or innovations.
  1. U.S. vs. European VC Landscape
  2. Differences in VC Engagement:
  3. U.S. VCs take bigger risks and act faster compared to their European counterparts.
  4. European startups often face challenges in scaling due to market size and funding differences.
  1. The Real Cost of AI
  2. Building Own Data Centers:
  3. Explanation of the decision to build in-house data centers to reduce costs and improve speed of operations.
  1. Future of Foundation Models
  2. Voice Agents as Future Business:
  3. Voice agents are poised to become significant revenue generators, with potential for multi-billion dollar businesses.
  1. Fundraising Experiences
  2. Fundraising Process:
  3. Insight into the challenges faced during initial fundraising rounds.
  4. Importance of timing, product-market fit, and strategic partnerships in securing funding.
  1. Hiring and Company Culture
  2. Team Composition:
  3. Preference for small, agile teams over larger organizations to maintain efficiency and innovation.
  4. Discussion on the importance of culture amidst rapid growth.

Key Takeaways

  • Speed is Critical: In both product development and fundraising, speed often correlates with success.
  • Focus and Execution: Keeping a tight focus on core competencies while exploring new opportunities is essential.
  • Talent Retention: Creating a strong team culture is vital to retain top talent in a competitive market.
  • Market Perception: Partnering with respected venture firms can significantly enhance a startup's credibility.

Conclusion

  • The episode is rich with insights about scaling a tech startup in the AI space, especially in Europe. It highlights the intricate balance between innovation, market demands, and operational efficiency.
  • Mati Staniszewski's experiences with ElevenLabs provide valuable lessons for founders navigating the complexities of startup growth and venture capital.

For more episodes and insights, visit [20VC](http://www.20vc.com).

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Transcript

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0:00So we crossed to 100 million now. So the 20 months to 100, and then around 10 months to 200. Our biggest contract is around 2 million. Pretty serious stuff. I think we spoke with a good amount of investors between 30 to 50. We raised 2 million. 2 million, remember the price? 90 million. This is 20 VC with me, Harry Stettings. And today we have one of the fastest growing AI companies in the world in the hot seat. So they did 20 months to $100 million in error. are just 10 months to $200 million in a year, which they announced exclusively in this episode's day. They've raised over $350 million, with the last round pricing them at $3 .3 billion, 11 labs, and I'm so thrilled to welcome their co -founder, Matty, to the hotseats day.

0:46But before we dive into the show's day, I love seeing the team come together to make this show happen. What I don't love is trying to keep track of all the information, the data and the projects that we're working on across dozens of platform products and tools. That's why we use Coda, the all -in -one collaborative workspace that's helped 50 ,000 teams all over the world get on the same page, offering the flexibility of docs with the structure of spreadsheets, Coda facilitates deeper teamwork and quicker creativity, and their turnkey AI solution, the intelligence of Coda Brain, is a game changer.

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2:51Isn't that cool? So if you've got a name in mind, search for it now with .tech on a trusted platform like Godaddy, or visit get .tech slash 20VC to grab You've got the name locked down with Radix. Now it's time to get the fun structure just as solid. If you're listening to 20VC, you know we have a really freaking high bar. Well Angelist is the modern platform used by the best in class venture funds, where over 40 % of top endowments and banks are LPs. Their customers include a top 5 venture firm, 20VC, and they now have, check this out, $171 billion of assets on the platform. They combine an all -in -one software platform with a dedicated service team that moves as fast as you do.

3:34One manager said this awesome quote, Angelus feels like an extension of my fund. Another said Angelus gives me total peace of mind, the attention to detail, lightning fast response time, and just real sense of ownership from the team are exactly what I need to stop worrying about back -office ops. So if you're starting a new fund, don't be a moron, just use Angelus. they're incredible, head over to angelist .com forward slash 20 VC to learn more. You have now arrived at your destination. Matty, dude, I cannot wait for this. I've wanted to do this one for a while, so thank you so much for joining me today.

4:08Harry, thanks for having me after working on a number of projects together. I'm so happy we can finally speak. Dude, I am so thrilled we could do this. Now, I spoke to so many people beforehand, and I have said Luke was phenomenal on your team in prepping me so much, but I do want to start a little bit with the origins pre. You grew up in Poland, and this was loose. How are you growing up and put an impact your mindset towards the world and company building first? In Poland, it's a very different, much smaller world. For growing up, I was in a very lucky position where I was in service of Warsaw, then went to high school, then started seeing more of that world, which was of course incredible because that opens your eyes of what's possible, that there's so much world beyond what you've seen, smaller cities.

4:48I've been in a similar way I guess you think about building 11 laps now. It's the scale of what we don't know is still ahead of us. And this is like what's exciting, that we know that if we climb those additional hills, the other mountain, they will see increasingly more. And I think the second thing was I saw the transition where in the suburbs of Warsaw, it's like a public school. So school where you would have just any kids that would live in the area. And in the high school, and where I met my co -founder, you would have a slightly different crowd of people that would when competitions need to go through a few steps together and suddenly that density of talent was the most motivating factor to like explore more, learn more and do more, which now we are trying to of course replicate that 11 laps where in any other company I'm sure too, it's like you try to keep that density as high as possible because at the end of the day that's what's most motivating being part of this incredible set of people.

5:40I was most inspired or given hungry because my dad always said like when we went into Chelsea, Oh, it's a better life here. And this is why people who have won live. And I didn't live there. And I wanted to fuck it, live there. And it fed me with this insane hunger. Where did your insane hunger come from in those early days? Definitely was the combination of family, my older brother, a kind of trailblazed going, brought to study, then motivated us to, like, you need to do the same. This is really helpful. And then the second, it was really this community of people in high school, meeting my co -founder, was extremely smart, meeting some of our close friends, kind of going through the cycle of motivating each other.

6:23It's like, yes, we want to study at the best university. Yes, we want to go deeper and crush this exam. And I think this was huge, huge element for all of us just going after it, and knowing that maybe it's possible at the time everything fell distant, and it's still, you know, many of the things do. But I think without that that kind of motivation through the people would be not possible. Speaking of the motivation through the people. You have a very special relationship with the Oko founder, Piotr. Yes. Yeah. I have to ask them, you come together. How does the idea for a Leven Lab to come to be?

6:53Was it truly inspired by Bad Movie dubbing? It truly was. And there were two things that coincided for us starting Leven Labs. One was through the years prior, he worked at Google, I worked at Palantir. We would meet for a Huck Weekend project together. So we would try to explore a new technology. One was in a recommendation space during the crypto high to build a crypto risk analyzer, which wasn't very easy and didn't work very well. And then once we did the project in audio, the idea was can it analyze how you speak and gives you tips on how to improve speaking. And that kind of opened our eyes, what's possible in the technology space there.

7:28And then fast forward later that year, the moment hit from Poland, which is, wow, all movies are still dubbed where you have all the voices from the original, whether it's male or female voice, narrated with one single character. So you have one voice narrating all the characters in a flat, no emotional way. So it's like an audiobook reading of a movie, a terrible experience, and something that we knew combining the experience from working on audio, and now knowing this is a problem, that, okay, this will change. Few years from now, as you imagine, that kind of advancement, all the voices will have original emotions, intonation, sound incredible, And that kind of kickstarted this idea and of course then it expanded to okay We need to fix the research layer to actually make it happen then we started with a lot of our creative platform work around 11 laps and then expanded to a gentick platform work How now the interaction is shifting where voice is this big interface for the technology around us?

8:24Well, you know this very dubbing specific originally kind of expanded through to everything voice today I mean it must be the most boring movie experience having one single voice for everything It's terrible. It's terrible. So what do you do when you land on the idea then? In terms of your nice steps, you move into the research layer and determine whether it's possible to actually do this. We first tried to like do two things in parallel. Micophondre was, okay, can we use existing technology, stitch it together and create a double of a movie in a better way? And it quickly transpired that you get a good effect, but it was brilliant.

8:56So to actually fix it, let's take a step back and fix one of those components and make it great. At the same time when he was doing research, my mission was, does anybody actually want that dubbing product? So I was emailing all the YouTubers, getting the emails, scraping them, and trying to message them, hey, if we had a dubbing product to make your movies available in all languages, would you be interested in that? Roughly, it was like 15 % reply rate initially from the first batches that we sent all were personalized. I mean, we sent thousands of them. The interest was like, la, la, la, last year, all of them were like, oh, I don't fully believe this is possible.

9:30Can you send us a sample? It would be great, but how will I operationalize this? YouTube doesn't support it. So it's like, it was somewhat of an excitement, but not like a burning problem I need to solve it. But then the second thing happened, so we started sending the samples, we started speaking more of the YouTubers, and it correctly came that where they actually want help with is much simpler. They want to post produce and correct if somebody said something incorrectly. They want to understand how the script will sound before they need to produce it. They might not want to speak at all and they want to voice over over the movie.

10:00So a super simple problem which didn't include anything with language changing. And of course, my Govander, as he dived into the research, realized that you can actually build completely new text to speech model, which will be a lot more emotional, intonative, that will make that narration a lot better. So let's put a dubbing problem aside. And as we see, there's this huge other problem with a lot of the creators, let's solve this problem first and bring that research just on the text to speech layer. And that's only possible by creating your own models. Quick answer is yes. All the models at the time just you could tell that immediately it's like Uncanny Valley not very good, you kind of replicated voices.

10:38How should I know as an investor? Again, I use this show just to get better as an investor. How should I know as an investor whether a problem needs its own model or whether you can just leverage alternative existing models? Well, I think the answer will definitely change now to like 2022. So that was the year where nobody yet, like kind of was thinking about AI, This was still kind of downfall of meta -vary scripted days. The attention to the models was like, no, I'm not a public eye. ChargeGPD have been beginning of 2023. That's where it kind of all started spiking across. At the time you didn't really have a choice.

11:11Like, you knew as a user, as an investor, that what existed out in the market just wasn't very good. And then there was more of a question. Will this team be able to solve and create something better? If you were creating 11 labs today, what would you do architecturally differently, given the architecture that we have today. I think still a current question is, to what extent you continue on that's kind of single modality space where at the time it was mostly you train a dedicated model for speech or dedicated model for image, video, etc. Over what is now more of a theme where you kind of train a more of a multi -model approach where you combine the reasoning and speech together to create even better speech experience.

11:50That's our most recent generation is effectively that, though 11v3. If we had that then, I think we would have probably skipped a few steps and our experience would have been even better. So off tangent, but I'm just concerned about bluntly the plateauing progression of models. And your GPT -5 is the embodiment of that. You move from like incredible feature descriptions to a description on cost. And when you have a description on cost and efficiency, it's like, we've hit that. Do you agree? And are we in an element of incrementalism and plateauing? In voice, I think there's a little bit of like, it depends on the use case, but to make it more concrete, their use case is like narration.

12:28In narration, we think it's plateauing. The new model generations will not make narration of an audiobook drastically different. It will still be in a similar quality, but I think in general, the point is right, where if you're just a research, eventually it will come out of the ties and eventually that advantage you can deliver from research isn't enough, so you really need to build product. And as you think about the 11, we combined both together. Do you think we're at a stage where scaling laws no longer equal an equivalent level of progression? In a biased way, I feel like the progression is still like just scratching the surface where it's just...

13:02The moment of like still seeing that escape curve of AI getting adopted everywhere is just getting started while scaling those continue in the same way. But there's a difference between adoption and development. So I agree with you there in terms of the adoption, but actually the development progression. I think, you know, it's probably a different answer on L -Lem space and different answer in the voice space. I think in the voice space you are still not slow -eraged. And then there's an interesting variation of like as they all combine. What does that mean for the world? That could slightly deeper understanding of everything around you.

13:33And I think in voice you still will see pretty quick curve. On the L -Lem space I agree, it's probably a little bit flattening to some extent. I swear to Andrew Reed before the show. I had a great chat too last night and he said, And ask him about like, why can't OpenAI do it? And I remember chatting to Keir and about this, Keir and obviously being my partner. And there was two reasons why, we didn't work together. One is the small chat which she is, you're very kindly offered. And the other was like, no offense, it was super fricking early. And it was like, well, why would OpenAI do this? No offense, two very young guys and none are doing like, how is this not gonna be done by them?

14:07How do you answer the question? Why wouldn't OpenAI just do this? They would definitely will do something. that I think they lack the genius that I'm happy my co -founder and a team has, but I think the true longer answer is, one is focus, I think in the early days, especially now when we spoke down, there was just so many different things you could do in AI space. And I think we took this bet that we want to really own and win in the voice AI research and product space. All our work is directly tied to voice. Then the second thing is, I actually think the number of researchers in the world working on voice and being exceptional is super small, probably like 50 to 100 people at like this top level.

14:47So Piotr was able to assemble one of the best teams in the space. I think we have five to ten people that are in it up 100. Like there is a mighty team which I'm kind of time and time again and surprise how incredible they are. And to make it specific, I mean text to speech was one that kind of have blown everything out of the water. Dan's speech to text is beating OpenAI Gemini on benchmarks. Now music, which is again something that no big company has has yet been able to crack or do. It's incredibly mighty team. And then even if I think if OpenAI does actually do something on research and I think they are trying, then that product layer is where you really need that big advantage of.

15:25If you are in a creative space, if you do narration, if you do voiceover, if you're a DAB, you go through so many additional steps to really make it perfect. We do that well. If you're building a voice agent or conversational agent, you need to bring knowledge base integrations, functions. You need to then deploy, test, evaluate, monitor. All of these pieces are coming to get in a platform and I think OpenAI is not investing as much time. They could, but they aren't. So combination of mighty research team, speed of execution and then actually focusing on the use case, I think, in a deeper way.

15:55You mentioned that kind of the mighty team. Those people are very valuable people and an OpenAI or an anthropic or a meta would pay. A lot of money it would seem for people like that. Do you worry about the war for talent? And how do you think about retaining talent when there's hundreds of millions of dollars going across the table for them? No, of course. I think the talent, especially on the research side, is out of the scale across any of those companies, especially in the early days. Of course, to some extent, as I think about meta and others, they are, of course, paying for the know -how as much as they are paying for the raw talent, too, where getting those early people gets you some insight into the models and architecture that you can then bring across and accelerate.

16:33So in early days, it's more valuable than late. But I think in our case, the reason I think it's still valuable is one, the apps for 11 apps just getting started. So I hope we'll be able to compete with any of those companies in the end of future at the same scale too. What you do have, which I think is important as I think about any of those companies is like how close you are from developing research to actually deploying research. And at 11 labs, if you are actually creating new models, they get to production are some of the most important things that our products work on almost immediately so that gap is super quick.

17:04Well, you know, bigger companies you go through the usual corporate rate tape to get any of that work done. And then free, I think we now have like a very small and mighty team that can learn from each other and move pretty quickly. I don't think there is a guarantee you get that in some of the other companies. I think they are optimizing for a lot of people, but not necessarily the right people. We mentioned that kind of, the V1 and building the beta. And I think it was 2023 that you raised the pre -seed. How did the fundraise process go? You two young guys saying, hey, we're gonna do this. How did the pre -seed fundraise go?

17:35Pre -seed was tough. It was, you know, similar questions that you asked, it was like, how will we fix research? The second question, which was very interesting, we think the market is very small for what you are solving, which at the time was like, you know, it was like a combination of AI, voice, like nobody was thinking about that. So that was surprising to ask, which we were very disagreeable, and Fred was defensibility. Will it actually be better than and what incubence from the F &G companies will actually solve or like how will you outcompete that on long -term. So these are the free, so those stuff, I think we spoke with a good amount of investors between 30 to 50, and it was double hard at the time because we early 2022, we got an offer from one of the accelerators in US, not WC, and we are thinking, should we take it or not, and we decided now we are rejecting, we think we can create something more valuable and we don't need that help at the time.

18:25So decided to go independent, And this triggered this more stressful time where suddenly now you need to raise money We started spending a little bit more on GPUs. We hired the first few people It's like all of that was going from our savings from which we are lucky to have from Google and Pantyre But I was like, okay now we had actually getting a little bit more risky and we want to double down We want to invest even more so we need money. How much did you raise in the pre seat? We raised two million two million Remember the price 90 million it was that many post now post the end out the model's exactly 11 % of the the equity, the first investor was buying.

18:59And then the other ones were like, you're done. So that's like, just over a million. And this was 2023. That was 2020, didn't you do it? This was not yet never been done. Dude, I mean, so you used to, like, stories like this on the show where it's like HubSpot. And you're like, what more than 2000 and C? So 2008 or nine or whatever. Yeah, it was only four years ago, which, you know, in the end, we found we had credo concept here in the UK, credo from Zee. We had one of our friends, of Piotr from Oxford, Peter Chaban, who invested was a co -founder of Polkadot, which is the cryptocurrency. So there we had like a good set of early believers, but together it took us a bit longer.

19:33So you raised the two million then. What happens then? You start building out a team, you start investing in GPs, you just say that. The main reason we raised was to accelerate what we would want to do. First one was building a small data center. So we built one and back then it was a thing in Poland that we've invested few and then quickly after moved and started buying some in US. And then team we started hiring not many but it felt like a lot of the time it was like additional two people I think That's it. Um did you because you kind of did the pre -seed raise and the beta launch at the same time Did you have product market fit on the beta launch with that early science that it was working?

20:15We actually raised the round and Q3 of 2022 but we announced it in Q1 of 2023. And we do that all the time, is that we don't want to announce a round just for the sake of announcing a round. Our philosophy was always, the round should have another purpose, which is bring the product out and help you get the product into the users, celebrate a set of customers to show that you are arrived in a specific sector, bring a new research model into play. So every round that we would do would always tie into a product announcement. So we actually hold on for announcement been for a few months until we had our better release and then we triggered which was January 2023.

20:52But to your question, initially when we worked on dubbing and that's the first early days and we were like emailing, we didn't have product market fit. It was very clear that people were so loud to reply and we sent samples, they weren't engaging. We didn't through the 2022 period. Then when we shifted from dubbing into narration, voice solvers, then the product market signal started to hit. Maybe it's there. Remember this thing, There were three things that happened. First, we did a blog post around the first AI that can laugh. And we sent samples that got picked up by newsletters. And people were like, wow, this is incredible.

21:27The next day, we had like 1 ,000 people in our waiting list. And the second thing happened. We invited the first 100 or so users, 2, 11 labs, to test it out. And we had this audiobook author who joined the platform. Our platform is like this small text box where you can type in text, tweet length, and narrate it. And he would copy paste his entire book 500 times, download it, stitch it together, then he released it. He released it on the platform at the time AI was banned. It passed through as a human content. And then it started getting reviews that it's great. And then he came back saying, I want my other book, other friends to do it.

22:02So it's like, okay, we are on to something. And then we launched in January 2023 publicly. We knew we started getting more of that signal that creators, narrators love the work. And to be honest, I think from that moment on, onwards, we saw a clear momentum and then there was more events after the media picked it up, then more creators picked it up. But the moment of release, we knew that it's valuable. And then maybe last thing on that, it's like the product market fit concept for us. It never fully, I think, know what this actually means, where we knew users loved our product at the time. But I wouldn't call it at the time we had product market fit as we were thinking of, like, okay, how do we make sure it's providing value for the next five to 10 years?

22:42Daniel will decide, the desk will be like something we would call, okay, this is clear product market fed, we think this is like self -sustaining for us long as we go into the future. So we wouldn't go by that definition. I think we are now closer to that, but we are still know we can create so much more value. So many things I want to unpack that you said about kind of the timing of your announcements and aligning it to actually kind of material news items. Do you have any big lessons on announcements? how to do launches that you found particularly work well that other founders should know. So that's the first one.

23:13100 % like for us, making announcement close to something big you want to announce from the product, from the user, from hiring perspective, tied with that. I don't think celebrating the number itself is the right way. I mean, in a way, it's like you're giving away the company. What are you doing it for? And you want to show as much of that as possible. Second thing would be, We really want to focus on how you actually get the users rather than just the media PR element I don't think the latter is actually as valuable as it seems to a first -time founder for us I remember when we did the beta we were speaking and with some of the bigger publications and one rejected us the other one accepted As and we felt like it's a big deal then we did all the prep for the interview we did the actual news and then it was posted We hold it like everything around this post that they told us the deadline for and it had no impact I think it, I mean, it's like probably a few more people read about us from the investor scene, but we didn't really care about it at the time.

24:08We were like, all about users. What actually worked was working with the new slatters that we're talking about AI, working with our friends from YouTube community that then posted on Discord that we are opening this up. Our Discord community was one of the most valuable. Reddit, those people picked it up quicker than anyone else. Hacker news posting there, like all of those were immensely more valuable and we since then always spend a lot more time on any of the actual forums where our users are, rather than where they are not. I think we grossly overestimate the importance of traditional press.

24:40Oh, I was kind of a Simon when I was first in TechCrunch, I was like, I'm gonna be like viral. Everything's gonna work. Yeah, and then it happens and you're like, you know, three followers. And this was when it was much bigger. And it's like, so I completely agree with you there, the grassroots. The other element kind of tied to that is how do you think about fundraising? And this is the Vista Founders fundraising pre or post -along. What is frequently happening if a launch goes well is you will get more interest. And I think you will get in from investors, from events, from media, to large extent.

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25:08This is like the time you should really focus on getting the product and kind of all of that as a distraction to large extent. Like, you know, the first time we launched that that kind of happened, we started getting so much of that. And I'm sure I did the mistake then of like picking up a lot of those and doing more events than we should wear like the best course of action would have been to just spend even more time with users and then early enterprises started getting interested so more of enterprises. I think on the investor side, I think you want to line up investors. You do want to tell them like, okay, I'm not racing now.

25:38I'm going to reconsider whether we need more capital and Q3 or Q2, whatever is the time period of time. And then when you actually need the money, then it's the best time to actually reengage with them. But I would not, I think it's a waste of time to kind of be in this like continuous fundraising most. It's you know, destructive. You need to have conversation. It's not useful. Yeah. You choose three that you'd like to have that you engage with in between cycles. Or do you not even do that? You just say, Hey, I'm heads down on building. I'll come to you and I'm ready. Today less at the time we do have a few investors that we think would be valuable that we might not have today in the space.

26:15Through the time we would have few investors that we wouldn't try to proactively reach out. but if they reached out through any of the conversations, we would try to engage. But the engagement there wouldn't be like, hey, we might be racing. It would be much more of like, hey, can you help me with introduction to X? Hey, can you help me with this hiring problem? And this has worked tremendously well through the work where the investors are genuinely keen to help if you find the right person and you have a very clear problem and you don't try to like overuse their time too. Like you come with one, two things that are concrete, useful.

26:47and then they know as well that if you are growing as a company, it's good for them to show the help too. So we've done that. It's also a good litmus test to see if they genuinely are interested in being there, or if it's just platitudes of niceness. Oh yeah. 100 % totally agree with you. Before, it's kind of the second thing where you do get the interest from investors. I think this is the best time to actually test whether they can be helpful. And before you accept any time sheet and money, it's like, now can you help me with angels that you wonder on CUP table? Do you want the interaction there?

27:18That's the best time. Any advice on angel selection for founders in the early days? I think the way we approach this is like, do they have domain expertise that we don't have? That's one category. Second, can they help us validate ourselves in specific circles we might not have access to? So like if you are an AI founder, it's maybe valuable to have set of AI founders in there. So you are part of the same events, the same same same same conversations. And then of course the in our case it was can we have some of the go -to -market expertise where we we had a lot of self -serve Some parliamentary experience, but the sales led how can we bring that in place as well?

27:52You mentioned starting with the author suddenly it was going well And you were seeing this great grounds well and great adoption and this is kind of January to June 23 I believe and then in June 23 you raised like $19 million from Brian Kim and Andreessen and then that and Daniel from I can't remember what it's called, MDFG. Yeah, NFDG. It's not Friedman Daniel Gross. Yeah, I can FDG. Wonderful. And that was quite a shock, because it wasn't a London fund. It wasn't in Nice. It wasn't in Excel. How did that round come to be? Yeah, the NFDG. Now I feel like it's a good name, but I was pitching that on changing that to like a different name for a while.

28:29Maybe now it's not possible anymore, but the, so it was like the interest started around kind of March 2023. We had a lot of the investors that were in a close conversation in the past like we approached us. We effectively would be a little bit more in the waiting moment. Like let's see how we get through and let's optimize for the partners that we truly want. And what we truly wanted was a combination of making sure that people in globally NSF trust and know that we have arrived, like we are a company that can be trusted is building something ambitious. And then of course people that we would admire to be able to work with that created something special.

29:06And that was definitely in that category. In the latter category. And it was a very fun thing because he approached us. Does he just DM me? How does he just approach you? He emailed us. But then I met him here in London. He flew in. And it was like a weird setup where he emailed me, but it wasn't clear where it all happened. It happened another last time. And then I see him in London in one of the hotels where he was staying. And the first thing he was saying was, which is the only investor ever to do that was, so I tested your APIs. And this This thing doesn't work. This works. Voice here wasn't good.

29:37Stability wasn't very clear parameter. So he's the only person that tested our APIs, decided that it was actually valuable what we are doing, gave me feedback on what we should change, and then told me, like, and I'm keen to invest, which of course triggered a conversation of what's the vision, what we are after. And what's special about Natt is that you can tell him very little and he kind of has this beautiful ability of in filling all the context around it, comparing that to any of the past experiences and bringing any of those experiences that then might be relevant to you, but he gets it immediately.

30:07From the first conversation, he knew kind of exactly what we are after and challenged us with the right questions from the start. And then he moved very quickly. He has very keen to partner with us. We are keen to partner with him. We are trying not to show it too much, but we were. And then at the same time, we know that Nat was in Nat and Anja where more perceived as the angels while we admired them from their GitHub and Summer and Days. that was still like an angel category for many of the externals. So we knew this is our chance to bring a huge investor to actually position us as a top company.

30:42And we spoke with all the classic tier one funds and A16Z was just one of the more actual funds in London. We spoke with few funds in London, yes. And then Brian flew to London. And Brian flew to London. So Brian, I mean, A16Z was phenomenal. They did exactly what we spoke about, which was they've shown us that they cared before they invested. They introduced us to incredible people, to some celebrities to work on the voice licensing. So they were like on it for two weeks prior, or like week prior, already to help out in any way they could, and then Brian flew to London, met with us, and then we signed preliminary time sheet.

31:19It was interesting. You flew in, we're negotiating. I also my phone called to Piot, to co -found us like, hey, what about this terms? Can we accept this? And Piot would give guidance, So what do we, where is the hard lie? What do we can do? And then on speaker we would sign together and find less. Do you think speed really is a differentiator as an investor in winning? Oh yeah, speed is like for us, even from investor, from product perspective, it's like you need to, especially now, the speed of execution, speed of investing is the only thing you have. This is what pisses me off. I'm happy in that world.

31:49I can move supremely fast and invest a lot of money. But what I find more and more with founders is they want to run a road show and they want to do a 10 -day process meeting investors and then have another week to decide which time she'd say they want to take. I'm willing to give you a time sheet tonight, save 17 days, but it's more and more common that founders actually want to run road shows. How do you think about that? A lot of great companies get built on 11 laps so I get to be in the conversations now more frequently where they would race money from our investors. Recently we had a company race a Series A that has built a healthcare voice bot which would effectively help patients calm them through the conversations in an incredible, incredible way.

32:30Then there's another company building for healthcare customer support. So quite a few. And now I'm in the conversations of them racing the money, which is an interesting one. And then usually it's clear that some of the people don't know fully what they are actually optimizing for. And it's good to talk about it for our day optimizing for devaluation, our day optimizing for delusion, our day optimizing for the right. brand name to help them out? Is it the network of people that this band name has? Is it the specific partner? Is it something something different? And I think it's like pretty distributed.

32:58So when I speak usually with founders or our investors as me to speak with the founders, it's usually that question, like, what is it actually that you that you care about for the thing? What do you miss? And then it's, pronsifies pretty quickly whether, you know, they are going after just the road showed is there to bump it up because they think the value that the the time she they got is just not valuable. Or is it that they actually want someone else, but they don't want to, they want to keep the optionality of having the first one while while running the process. I'm a romantic. I hate this idea of a roadshow where it's like, I'm going to meet everyone and then I'm going to compare term sheets and then I'm going to decide it's like, what happened to the partnership?

33:31Well, but it's, you know, the truth is the other way is true where a lot of the investors want to give the term sheet, but that is before any show of partnerships. So how do you know that this is a good partner? How do you know what idea they are giving you good terms, especially your first time founder, you never run this, you don't know how much you are valued, you need to have some relative comparison and this can happen for conversations of other companies, other founders, or comparing yourself to other companies in the field or running some form of a process. Roadshow probably sounds pretty bad because it sounds like a lot.

34:01You probably, like the way we approach fundraising was always, especially in the early days, like Q, field investors we really care about and first speak with maybe one or two that maybe are into priority so we understand whether the messaging that we want to put across makes sense. If it does, move straight to the top ones. How do you feel about exploding term sheets? I don't like them, but we got a few. We had a few. Do you understand them? At the time I didn't, but I do. It's like, I don't like them still, but I won't name the people. But so one example was a, let's say, a smaller font. They felt that if they get us the term sheet, we'll use that to bump other term sheets.

34:39Very often happens. And that does happen. So I got it. It was like, you know, and they came from the approach of like it would go so high they won't be able to invest and they didn't want to be part of that. So that happened very often being an investor being the first time she's the worst because you're used as the stalking horse where they then go, hi, I've got a term sheet, I've got a term sheet from a great fund, they never name the fund and you get no credit for being the first and then you're just trampled on by everyone else's culture. That's what I don't like funders that are trying to do that too much.

35:07Like if they are trying to get the first time sheet to bomb the other ones, I think it's a wrong approach. Okay, if it's like order of magnitude it off, it's probably wrong. It's like 5x. Yes, but if it's like plus minus 20%, that's like a wrong optimization. There's just so much more value that investors, partners can give than the money itself that I think should be optimized for. You've got Andreessen introducing users to the laboratories and you've got Nathand Daniel to the brightest minds in AI who are querying APIs that no one else does. The Americans just playing a different game to the European VCs.

35:39We love our partners. I mean, we have, I'm, I'm facing teams so, so incredible. The network, I mean, now, Sekhaya with Andrew is just another level to iconic team. It also crazy help. NEA 2 is just like bringing it all to us. They are all US. So I think they are playing a different game. I think the, you know, they, they are all from our experience so far. A lot more keen to take the risk. You know, even our conversations are always like, how do we bet bigger, rather than like optimize for the negatives? The one check I always try to do with Piotr for any of the partners that we bring beyond the capital network brand is always for the person you partner with or the person you partner with how will they behave if it's not going well.

36:20So we usually try to get any of the back references for how the they behave the company was was failing. All of the ones that we had are in a very positive like they actually were really on the on the side of the funder helpful when it was not going well even more so than when it was going well. And I was doing the same check with some of the checks with other companies and maybe just as I'm getting used to that, they can know a new kind of the set of companies that went up and down the so high. But in some of the investors we spoke in Europe, that checker didn't yell at the good results. I have one with Brian Kim that didn't go well and I have to say Brian was the best.

36:55He was the lead investor in the round and he got the money back for everyone and that's right. And he really put in the work to do it well and to it quickly. I was really impressed with him in that way. No, exactly. It's, it's, it's, Brian, yeah, Brian, we also won an hour checks, came up strongly, Jennifer too. It's sick. All of them, it's just a crazy hoe. Okay. $19 million, Dush in the account. Most people suddenly then go on a hiring spree and not two people hiring spree, but like a proper hiring spree. But you favor very small teams. You've said this to me before, but Luke said it to me. Why do you favor really small teams?

37:33I think the first piece is that more people frequently doesn't fix the problem. It's like, you don't need that many people to do something special. That's the first thing. Second is by keeping an asset organization today, we are 250 people, but really, it's more like 20 teams going to market of like five to 10 people that are just executing on specific project where they have higher ownership. They can move extremely quickly. They see the result in iterative reality the out quicker to improve that. And I think this just works in such a beautiful, beautiful way. Of course, there are other challenges with this, but those 20 teams organized by function or by project a little bit depends in the product by like a product area.

38:12So we have a team working on our studio interface team that will be responsible for all the core experience when you log in. Team responsible for the entire voice agent suite and with Tendout there's a team working on some of the more enterprise components and other team working on some of the self -serve elements. So all of the teams will be organized there on the product area. And then the other parts, we try to chart it pretty quickly. So we will have a separate team for talent, of course, the team for people. And they will have a high degree of independence when they actually execute which helps.

38:44You mentioned 250 that. It's small given the size of company in many ways, but it's also still 250 people. When was the company culture the worst? And what did you learn from that. You know, there was like moments where I could feel this kind of tension between the Goat to Market research engineering. And this is like a specific story where in 2023, late 2023, so we did a text to speech, we then did voices, we could recreate a voice, then we create like a basic way for speech to text internally. So we had all the components that we originally were speaking about to create dubbing. And we haven't done dubbing yet publicly.

39:19And we gave all the components to some of our customers. So they could use text to speech, devices. And there was like a lot of pressure that like, it's a valuable technology we can give to two our enterprise clients. One of the enterprise clients, we told them that we are planning to launch our dabbing solution combining those components later in that month. And they took the components and released dabbing two weeks before we did. And that was one of like the low moments for me, for my co -founder, for the entire team. because dubbing was our story. We told that to everyone, we knew that this is the thing.

39:53We want to solve first. We had all the components to be able to do it. We're just waiting to optimize it to make it perfect. And then suddenly this partner released it and got all the attention. All the media, Twitter, all the users were like, well, this is the most incredible thing that has happened. How amazing that you can speak in another language and still sound the same. You could feel the morale in the company. was slow. People were like, we spoke about this. We knew for like almost two years that this is something we want to solve. And how did it happen? That the customer had this and solved this first.

40:26So research engineering wasn't happy. Like how did they do it before with the components we gave them? The go to market wasn't happy because like how did we sell this to the customer? Now we are like all the potential clients we could have had isn't good. And of course me and Piotr were like, hey, this was our idea. Like, why would you do any of the partnerships if all of that is like kind of given to another company, who was the problem? I don't know if I can mention it. To their credit, I don't think that we told them it was actually a factor. I think they were just trying to do something quick.

40:57And we had a lot of calls with them those days because we were thinking, what do we do? Is the contract give us flexibility to not continue? So we spoke through with them of like, hey, why did you launch? I don't think it was dictated by our timeline, but the timeline was very close to each other. And they told us that they thought it's a good, hack -weekend idea, so they gave it to their intern, their intern has built that project and then it exploded. But it was, it did, it did give them like intense of millions of revenue over that period of time. So it was significant. Fuck is what's your biggest piece of advice to a founder who has a moment like that where you just feel the air come out of the company?

41:34How do you inflate the company again after such a damaging blow? I don't think the first reaction should be that like, hey, everything is fine. I think you should be authentic and tell the team what you are feeling like how has this happened go through like what have we done wrong and You know that frustration was clear. I don't think we I think it was valuable for us to talk to like we are angry at ourselves This is wrong and then as we move from that stage like yes, we are angry What are we actually going to do about this and move to that second stage very quickly? But I think I've done a mistake something so just going to the second stage It's not a problem.

42:08Let's just go through and solve it I think it's actually super valuable to talk through what has happened. But then you need to go into the second thing and then in the long term that will work out. It's then you can, the relentless execution will prove itself out and show it to the world. And the worst if you repeat them a mistake then someone needs to feel the repercussions. But if you've learned from that and haven't repeated them a mistake, it's fine. Given the commoditization of a lot of technology stage, you feel speed of execution is the cool differentiated between those that all win versus those that won't, or is it quality of research access to GPUs?

42:43How do you think about that? I think it's both. I think it's, you know, the way we approach it in the companies, we have research product and the ecosystem that we built, which is a combination of distribution and brand. But research for us is a head start. We are investing in research. We'll continue investing in research. We want to be the best across the voice technologies, but all this gives to us is advantage of our the competition for the next year to maybe free. How far ahead are you compared to the competition, do you think? I think depends on the use case, but six to 12 months. I would say it's depending on the space that we are in.

43:16Do you think that's a lot or not? I think that's a lot. So that research piece of six to 12 months is enough for us to then do the second thing well, which we do in part of the start is build phenomenal product experience. What percent of your revenue do you think you spend on compute? So we've built our own data centers. Why build your own data centers? Most people would just use a cool weave, weave, and Nvidia or whatever that is. Why build your own data centers? So we did the math. In our case, it was if we assume we continue training the models that the way we want to. So very continuously a lot of those models.

43:47Then second, for the data transfer centers, we think about continuously bringing more data. We will likely on a two -year horizon, break even for our having our own and not renting. Assuming, of course, you know, you need to assume some improvement in the GPU infrastructure, but assuming that it wasn't too high of an improvement, we would have been successful. And we were, I think it kind of the ROI made sense there. And now it's paying dividends because we can just do more experiments quicker. And this can still be wrong at some point. There might be innovation that kind of breaks that equation, but for the current time, it just makes more sense, more control.

44:20A lot of investors are talking about the poor unity economics of a lot of companies that we see today, whether it's your rap plits or your lovable, so you're any companies like this, but any kind of application eye companies period really, they generally have pretty tough unity economics generally speaking. Do you think that is a fair criticism or do you think it is simply short -sighted given the changes we will likely see in the cost structure? The Unilogomics in most of those cases that you mentioned is pretty poor, but I think the strategy is that yes, one, the models will optimize in cost and then two, they will be the brands that customers trust and then they can actually use a lot of the signal back.

44:55And I think to 11 laps example two, I think our unit economics is much healthier than most of those companies. We control our research, our product and distribution, but it's still if we had a new model that we need to release ourselves, we would optimize less for the cost structure so we can get that magic out quicker than other competitions even can think about creating their own model. but to be clear, you think the concerns around margin are over -expelled and not justified. Well, it's a risky business where there will be a winner. I love what Lovable is doing with Anton, but Rapid, VZero, Bolt are all incredible companies too, or Products too, that are doing some great work.

45:36I do think at least one, maybe more than one, will create something special. The market is so big that all of them can create something special, but yes, there will be and the margins that they are carrying does just not make long -term sense and probably the same for coding apps. But I think it's a cool bet. I think it's not even like cool from the sense of like it's you know it's a nice application but it's like it's an ambitious bet that they are trying to win with the biggest companies in the world to that are trying well try or are trying and they're lovable of the world are winning. Anton is phenomenal marketing person too like the founder let where he's doing it so it's amazing.

46:13One thing customer from day one, which respectfully I would advise you very much not to be. I think if Philippe was telling me he was advising you the same, be much more targeted in your ICP and have a clear mind of who that customer and user is, and you are much more broad and horizontal. And if your advising found us, how do you tell them when they're launching from day one, whether to be horizontal versus whether to be vertically specific? The thing if you're launching something very new, very different and you've done yet fully know a subset of customer base, but you know that there is a bigger one.

46:44I think horizontal is completely fine. If you know when you have the main expertise and this is the category that I'm trying to win, I think go vertical. You say go vertical there. Normally when you have verticals, you have kind of a maturing of organization, you have titles. Titles is something that you decided to get rid of. This is very counter -traditional all structures. Why is it better to not have titles. There are some incredible companies that of course did similar Stripe being one example. But in our case, it was especially then, super small teams. So we have team of five. A lot of people people join and what we wanted to optimize for is like one, the main thing that matters is the impact you can join and you can be the most impactful person from day zero in in any of those teams.

47:29So the title shouldn't define what is your level of decisions. Second thing with the small teams that happens is that you have a lot of those small teams. So if you start looking at who gets the title or not, it just becomes a distraction given that teams are like small units that just keep, keep, keep executing. So that's the second thing. And the third thing we wanted to like also make it very clear in that mix and still do. If you are joining 11 Lubs today, you can transition to being a leader of any team of any function super quickly. And titles felt limiting to that. We felt like people joining in and seeing the kind of the wider set of organization already having set of roles defined for them Would make this a little bit harder.

48:12You can have a lower tenure and be a manager of people with much longer tenure If you are the right person titles we felt were taking away from that while the same time We have a good structure internally within the SAP teams like who is the current Lead of that team that will make the decision if people cannot agree on what's the right path But that person can, and it's not guaranteed that the person will remain elite forever. And the titles in a way, when you give a title, it stays usually forever in the other company. Speaking of titles, and a common criticism of European tack and scaling, is that we don't have these titled people who've seen scale significantly, your VPs of sales who've seen a bit in an ARR, you name it.

48:51How did you think about broaching that? Do you want to get to the top US talent here? What do you want to grow talent here? We want to grow talent here. We match a lot of our current talent with the advisers from our network of US investors and The goal is to grow people. We love growing people like our approaches almost if we can We want to take a bet on the person growing rather than then bring them externally and to onset on a show with me recently from Loveable that building in Europe is building on hard mode. You agree with that. I think it is a thing It is building on hard mode, but there is some great advantages too.

49:25What are the advantages? The first one is the talent here is incredible and I think you just need to know how to get it. What do people get wrong? There is a good subset of people that really want to work hard and create something special and they just don't have that opportunity because there is no ambitious European companies trying to do that. So the only way they can do that is work for US companies and I think now you mentioned loveable. I think they are showing that ambition too and There's just so many more lagora recently and Sweden that rates around. We spoke about Sintisia. So there's quite a few companies that are ambitious.

50:01They want to show. And I think that the people joining want to be part of the ambitious company that is competing on a global scale. And then maybe in the early days I was even worried to large extent. I think you want to be able to build from Europe, but not build only for Europe. And I think those two get conflated where sometimes building from Europe you are building for European ecosystem, which isn't the right thing. You still want the global aspiration. So even now, when I think about describing 11 laps, I think about us as a global company. We are a global company, we want to win in the US, we want to win in Europe, we want to build in Asia.

50:35We have the best team and most of the team in Europe because the talent is incredible. So you think it is wrong when our American friends say, hey, the Europeans just don't walk as hard as we do. I think you can find people that want to work harder. And we've had it actually at some point in the team where we hired some people from West Coast, US and other people where we have quite a few from central east and Europe where like, oh yeah, they don't work actually that hard as we do. I mean, we have such a, you know, to credit to the team, it's like the true missionaries that are there on the weekend, all the time and really care.

51:08They really care about the success of the company. Beyond just working hard, I think they are and they feel part of the company, which is true. So I do think you can find people in Europe that are phenomenal. Is it bad to hire people who come because you're a glossy name? It's an interesting one because in the early days we didn't have much inbound. So all of that was outbound. And it was easier in a way to find people that we felt were right because you didn't have to filter through the noise. And now we have just so much. Where so many people are going because they are a buzzword or we know our scale that makes sense.

51:40But no, I think it's fine. like not everybody is the risk -take care at the same amount so I'm not in any way discarding them. What's been your biggest hiring mistake and what did you learn from it? I think this is probably a traditional one but as I think about bringing people in and growing them into the company, it's like the full hiring process. You hire a person, you of course have very little time frequently to assess how they are but then as they are in the company you have a little bit more of the signal. I would have taken some decisions quicker than I would have with separating with people.

52:11If you are not unsure in the interview, but let's say you are bringing them, giving them a chance and you are not sure in the first weeks or months you should separate straight away rather than keep giving the chance. I think that's the few times I've figured on that. What's the hardest role to hire for researchers? Easy. When should a founder no longer be involved in every hire? So we interview everyone and I help a little. He's still doing that at G50. Yes, we do. We hope to interview that as long as possible because it's a good signal of who we bring into the company. We get to meet them, but of course we still think that company is still shifting in terms of how we are approaching that.

52:46One is now even more we are optimizing for engineering technical skillset in all parts of the company than we would have six to 12 months ago. So it's even increasing in some aspects, but I hope we'll interview to like a thousand people. The thing isn't so much hard, you know, when to be involved in the review. It's more how many people you are trying to hire with a specific period of time. So if I try to hire a thousand people in a month, it's impossible, because it would be more than the time we have. In a year, how many people will you have? We'll have 400 by end of the year. By the end of this year.

53:18By end of this year. That's a lot. You're almost doubling. You're adding 40%. That's almost up. It's 3 to 4 months. 50 officers are joining. So 250 now, roughly 30 to 50 people that are already scheduled to join. And I think we'll get to additional 100. Respectfully small and mighty, that's no. 150 and three to four months. Still small and still mighty, but we have a pretty global team now where we are trying to bring a lot of our go -to -market and engineering in every location we are at. So we think we can parallelize that. Building in Brazil, in Japan, in India, in Mexico. So we are really going to that local nuance too, where we are building small outposts everywhere.

53:59And I think we can make it work. Do you care about revenue per head? In the long term, yes, like we want to be an efficient company. I think now we have a very good metric for a new per head. It's a good show, like, are you an efficient company? But if we think there is a path for us to get there over time, we take easily the new hires that can help us. You know it extremely well. It's an investor. But of course, one of the key metrics is retention or how you think about NRR for any of the clients. So me bringing people now helping us get the distribution before competition does might It decrees my set of revenue I get, but if the NRR keeps growing and I don't hire more people in the next five years, that metric of course will change.

54:38Can I ask what revenues you add now? So we crossed to 100 million now. Whoa, that's a good number. That's amazing. Yeah, that is a great, what per 250 if you've got that now. Yeah, that's pretty good. Fucking A. Thanks. What was the aim of scratching? What was the end of 23? I think we were between 35, 35? 35 million. 35 million. You went from beta launch in January to 35. We did so in the 20 months to 100 and then 20 months to 100 million. Yes. I think so. And then around 10 months to 200. A bit longer. 15 months. Just crying. Oh, sorry. Depressed. I mean, you know, that's so happy. Well, the thing is that of course, you know, it goes quickly.

55:25It can also go quickly down. What bit is your revenue relatively sticky? I think it's relatively sticky. You think launch enterprise is the most important. Our biggest part of the business now and we're obsessing is building effectively conversational agent platform. Like the biggest customers are the biggest customers, not name but like size. Our biggest contract is around 2 million and they are mostly in call center, customer support, personal assistance base, all of those companies are orchestrating combination of the research, those speech to text, the analytics speech, and then bringing a lot of those integrations that we now we create.

56:04So that's on the enterprise side, whether it's Cisco, these are not the contracts there, but Cisco, Twilio, recently working with Epic Games. These are some of our biggest deployments of the work. And then of course on And we are in a lucky position that we still have a huge self -serve distribution of creators and developers building up the time 10 months to 200 million. Yep. What's that to 300 million then? Because you have, you did 20 months to 110 to 200. Well, we are ambitious companies, so we hope to, can we do five months to 300? We would love to break, break if it's a healthy revenue and we are creating good work, we would love to break the record.

56:41What was the price of the last round? 3 .3. 3 .3. All the rounds divisible by 11. 3 .3 and then you did that when you were 150 million in revenue? No, lower. We were somewhere between 120, I think. Okay, 120 and 20. But I'm just looking at that guy and you did that Jan 25. We announced the Jan 25 and then we did that twice, I ended up 20 and 84. I'm just looking at it thinking, okay, so they're doing end of year revenues for 25 at 250, 300. It's quite a cheap deal. 1112, I sent a beer revenues. So we did the round in October of 24. So we are probably at 80 when we got the docs and then it was signed then.

57:23Did you need the money? So the way we approached any of the fundraisers, it's can we bring some of the bets forward? In that case, it was even more, spend on models, expand into multi -model. Can we bring our work internationally, So expand into other regions and then double down on an agent platform. So start building even more of the true enterprise functionality, whether it's the reliability you need, whether it's integration with sales for service now sift ranking. So like investing in those, those was the most important. But at the time it was for the ex -current revenue, so pretty good. How do you balance between focus and executing according to plan versus being able to do more?

58:06I understand the benefits of being able to do more, but you can probably always do more with more money. It doesn't mean it's the right thing. I think that the kind of the variation of this is like, can you paralyze a new effort without distracting the core work? And that's roughly why we are trying to approach this. Like, can we bring our work to a new place? Can we create a new product experience without affecting the core thing that's actually important for our users? If we can, then we'll likely invest, bring it up people into it. If it's distracting, then it becomes a question of like, is it worth the upside?

58:39When we think about kind of doing more, the question that I think we forgot earlier was what was the biggest line of business in the future. That is not a very big line or nonexistent today. It's interesting because on the relative basis, I think our agent's work is so ready, huge. But I think it's just scratching the surface. I think it's going to, if we play it right, it's like a multi -billion dollar revenue generating business just from huge, of course, creating voice agents and going deeper. So I think this one is on the relative of my voice agents that you sell to companies to manage their customers.

59:14That's right. Got you. And then you can go deeper. You can, of course, expand from voice into conversational agents. And by that I mean you start building omnichandal solution with email integration, what's up integration? We're just kind of that more classic customer support. Which you sell then to an intcom and a decogon. Today, so we are have a public partnership with Decagon, so we do. But of course, as you start going deeper, it depends a little bit where Decagon goes and where we go. Are they going to verticalize or they will continue horizontal and go down? Well, we verticalize more. So there might be some areas where we overlap a little bit more.

59:49But today, we, given we have very partner horizontal approach that we treat all of them as good partners. Speaking of kind of good partners. Right now we're doing the human plus agent. We're so friendly and we make each other better. And there's a time when human plus agent just becomes agent. Do you think we are seeing a lot of resistance from employees within companies towards agents coming in? We do, but the way we've seen this kind of transition happen now is where you will have more specialized humans, where the agents are taking more of the manual parts that nobody really wanted to do or didn't require the main expertise.

1:00:28So like a good example is like, if you're taking appointment scheduling, if you are doing a refund, all of those, of course, assuming of the safeguards and authentication place, are pretty easily done with AI. But then suddenly, if you need to help that patient navigate the outbound flow after going from hospital or understand analysis, that cannot be done with AI, there's too much at stake and you need to deep the main expertise. So we've seen like kind of the transition where that side of people, helping in the last mile is even more valuable. Well, of course, I can help with those easier tasks across.

1:01:01And I think this will continue. Of course, the percentages will shift to where you will have even more automation as it goes deeper. And then even more value assigned to the people doing at the main expertise because ultimately it will help automate the task at hand. Does taking money from secure meaningfully moves the needle in a way that it doesn't from other funds. You know, like, I think, so our first round was with A16Z and it did meaningfully move the yield for us. Like it was very clear that people respected you in a way that they did the full. And then Sequoia came in and CWB and that kind of doubled down that perception where it's like, okay, A16Z and Sequoia are part of the, of the company.

1:01:38It's also very rare to have both of these investors and any of the companies. So it did help like where a lot of kinds would be respecting that and now I connect on top of that is just incredible mix. And NFDG2, I think NFDG2 is like, clients will usually not have that perception, but they're - Investors do. But investors do. And some of our engineers or users really, really admire and trust that and I do too. So, he's great. You're a very strategic asset when you look at what you have and what you've built. Have you had acquisition offers? We did have acquisition offers. Did you contemplate any of them honestly?

1:02:15We always will do the basic diligence and let our investors know that we had this. And you were the largest one. Well, the largest one didn't have money. But the ones that we went, it was an interesting conversation because we would frequently try to go into the strategic partnership. And then they would be like, oh, can we consider are we open to M &A activity? Was it tempting? It was tiny bit tempting, but in a way we're in the first one or two examples. So the first one was when we were doing series A, it was going really well. And then of course we were unclear how this will continue. It was like a very beginning of the curve.

1:02:56And that the first one was like, okay, this is the first time we ever are doing this. Let's understand what they are offering. But we were more interested into like seeing whether more about the process itself, like how it happens rather than actually giving the company. Then it was clear, okay, they want to acquire us. This is what we understand and we need to be part of the company. So we were we were we were a flat now and since then for any of the conversation now that we know that this is even approaching this M &A, TGG segments with the secondary and that helps. So we do almost every round we can we do secondary and attend their offer for all employees that have vested stock so they can sell the stock.

1:03:35So they all feel that there's actually liquidity to the company. And I think it's valuable because we are betting for some and huge. And you want to know that you you you can take the risk to bet on some big outcome, which of course, you know, like I think it's very easy to say financial parity. It's not important. And I think it isn't, but there's like this basic layer that people want to I think it is paying for child care and paying for house. No, of course, exactly. That's what I mean. But it's like, it's not the goal in itself, but you want to have like this bottom set of good life that's covered, which we are extremely like he has a company to have and to be able to offer.

1:04:09But then like now the kind of the aspiration is much bigger, especially now that this basic layer is covered. The thing I often think is how many great European companies of the last 20 years would have not sold, we had secondary and liquidity options available at the time because so many did sell because we didn't have that. It was so meaningful. I think it does help with the perception where you know there's like you can to some extent, I think you can put away like any of the greediness that comes with money just by taking some of the risk, risk equation away. Dude, we're going to do a quick fire round.

1:04:41So I'm going to say a short statement. You're going to give me an immediate thought. That sounds okay. Sounds great. So what do you believe that most around you disbelieve that you're going to build a company from Europe at the global scale? You don't think people still think like you don't think we're moving the needle a little bit. I think you are helping and I think many of the people in our ecosystem are but I don't think most people do. Maybe another one which is not that specific to company building, but I do think voice will be the interface to the technology around us. It will be the primary interface for all of technology around us.

1:05:12I'm not going to let you wiggle on this one. You can buy OpenAI at 300, Anthropic at 170 or GROC at 120, which one do you buy in which one do you sell? Well, I don't know if I like this question. The answer that. Anton, Anton for context answered he'd buy GROC and he'd sell OpenAI. Okay, let's keep it out of the positive. I would buy OpenAI, but I love anthropic, like, you know, if I was on the coding side, I think I would be buying D -Manday cursor. And now we don't mandate. It's like you use what you think is most valuable to. What do most people use? Most people do use cursor. Some people use cloud code, but still more cursor.

1:05:49I think it's shifting a little bit. I'm also like, you know, to your other question, they're, I don't remember who was the investor, but they did say, which I think I would also like, as I think about that decision is, I would be happily investing in a lot of the products I use and I do use Chaggitv very often. Every so often I will use Antropic for like testing where we are of the space, but I think they are investing more in coding rather than cloud the consumer and OpenAI is clearly investing a lot in Chaggitv to consumer solution. What if you change your mind almost in the last 12 months that we previously would not do any of the product innovation if we knew that we are doing any research initiative ourselves.

1:06:27And I think now it's shifted that we We will sometimes explore product with outside research, even if we don't have, we don't build it internally. Is speed of air or growth a bullshit metric? Depends on time horizon, but in general, yes, I think speed of aircraft doesn't matter. What's your favorite consumer brand day and why? I really like 8 sleep. I know it's consumer brand, but they do like 8 sleep recently as it's like a changed quite significantly. I am a huge user of Google Maps and love Google Maps. Lovable, I really like, from consumer -ish applications. You can be CEO of any company for a day.

1:07:08What company would you be CEO of? I'll choose Google or OpenAI. I would know the know -how of some of the incredible models. I think more Google. I'll say Google. Genie, via free models, incredible innovations. And then at the same time, just the scale of operation would be interesting. So, but a strong Google people question them with the golden I didn't give me Google in the previous question. No. Yeah, I would invest in 300. That was a Google. But that's not enough. But you're super bullish on Google, even with the ads model being potentially out. No, no, it's super bullish. It's definitely not super bullish.

1:07:39But I think Google is, I would still put a lot that the Google has a good future. And especially recently, they're catching up in many places. They are definitely in the race. I'm creating a title for you. You're going to be the president of Europe. I'm aware for all of our American listeners Europe is not a country even though you like to collectivize and make it one President of Europe. What would you do? One thing to make the European ecosystem have a higher chance of success? My word goes into into law immediately. Yeah, I would proxy a lot of AI law to US law I know this is it's a huge set of repercussions, but I would try to follow exactly how US is approaching a lot of AI related regulation and just implement the same or let like create another state in European Union and Europe that people can opt in that follows that law to not like make it too hard given even all the repercussions.

1:08:31How important is founder brand? My answer here would be I don't know because in many ways as we thought about the 11 laps especially in early days it's the people that build the company are the people that build the company and in some ways we they kind of could still don't know to what extent like having some people that are very much out there, like let's say I'm now in this podcast, takes away from that. And we want to make it complimentary because the reason we are successful, I think, is to large extent because we've created incredible research. The engineers are just grinding and creating the best product experience.

1:09:04Go to market team is inventing new ways to combine self -serve and say it's like all those parts and then supplemented by operations scaling the company from less than 100 to not 250 in a span of seven months while keeping culture intact. You know, these are like all so hard things and with hyper growth There's less time to be able to appreciate all those individuals than then you would otherwise and I sometimes worry by Having that kind of you know too much of the thunderbrand kind of takes away from that But my mind is changing a little bit. I think like maybe you can elevate that by having a Thunderbrand other final one and it may be a little bit of a sort But what's the single best piece of advice you've been given that you think too most often?

1:09:44Well, it's not most often. So in recent times, I like what Peter Tiel said about the biggest risk is not taking the risk and kind of not taking a decision or staying in the risk. What risk did you not take that won't you most? It's shifting because if you ask me that, I should have taken that risk. So I don't usually help try to take a quick action on top of that. But one that we are considering is an acquisition of another company now, which is a big company. and that company, you know, is in hundreds of millions of dollars, it will be a huge risk for bringing them in. And if we think we can do better internally, so I think we won't take that risk.

1:10:23Mattie, this has been so much fun. Thank you so much for putting up with Miami -andering and you've been a fantastic guest. Thank you, Harry. It's a pleasure. Pleasure to be finally able to speak together. So great to make that happen with Mattie live in the studio. You can find it on YouTube by searching for 20VC. That's 2 -0VC on YouTube. But before we leave you today, I love seeing the team come together to make this show happen. What I don't love is trying to keep track of all the information, the data and the projects that we're working on across dozens of platform's products and tools. That's why we use Coda, the all in one collaborative workspace that's helped 50 ,000 teams all over the world get on the same page, offering the flexibility of docs with the structure of spreadsheets, Coda facilitates deeper teamwork and quicker creativity.

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From the publisher

Mati Staniszewski is the Co-Founder and CEO of ElevenLabs, the world’s leading AI voice platform. Since launching in 2022, ElevenLabs has raised over $350M, most recently at a $3.3BN valuation, making it one of Europe’s fastest AI unicorns. The company counts Andreessen Horowitz, Nat Friedman, Daniel Gross, and Sequoia Capital among its backers. Today, Mati announces that the company has hit a staggering $200M ARR. ElevenLabs took 20 months to hit $100M ARR. 10 months to hit $200M ARR. Can they do $300M in 5 months…

AGENDA: 

[00:00] $100M in 20 Months?! ElevenLabs Untold Growth Story

[12:20] Are AI Models Already Plateauing—or Just Getting Started?

[14:00] Why OpenAI Can’t Beat ElevenLabs 

[17:30] The Talent Wars: How Do You Retain World-Class AI Researchers?

[23:10] PR vs Product: Why Most Startups Botch Their Launch

[36:00] Are U.S. VCs Playing a Different Game Than Europe?

[44:00] The Real Cost of AI: Why ElevenLabs Built Its Own Data Centers

[59:00] Voice Agents = Multi-Billion Dollar Business of the Future?

[01:05:00] Buy OpenAI or Anthropic? Which Foundation Model Wins?

[01:09:30] Europe: Strengths, Weaknesses and What Needs to be Done

 

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20VC: ElevenLabs Hits $200M ARR: The Untold Story of Europe's Fastest Growing AI StartupThe Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch · 1 h 14 min
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