00:39:08 · Mati Staniszewski
[00:39:08] S1: Of course, there are centralized functions. Legal is a good example of, of course, of like how we are running that needs to be very central enablement of how we help people across go to market and other teams, how they are learning the craft of how to sell ElevenLabs. As you said, there's so many different products. You need to be very particular about how you deliver that to the specific customer So it's not confusing the customer and what we are offering or what we do. Yes, so there's a good amount of those functions, but they all too similar to Luca's approach, all of them will have a good amount of engineering in them and figuring out how you scale that operation. It's not becoming hundreds of people in all locations, but how you can use the few people that you have and really bring that knowledge everywhere. One of the biggest ones for us is probably around rev ops of how you are like the revenue engineering effectively function. We have so many tools that help you get the knowledge whether it's code during the conversations, transcribe, bring it back, make it easier for you to fill on a field so you capture that knowledge and then don't have to spend manual time. And then of course increasingly we dogfood a lot of our own work so trying to figure out how we can create AI agents to help replace part of that work but still operate within the team. A good example is AISDR. People going on the website today on ElevenLabs, you can fill in the dropdown form and leave information about your company, but you can also speak with voice agent and leave that in a quicker and different way. We've seen a lot of people go for that flow. And then interestingly, two things happen. One, people are both making their things easier. They enjoy it more. But two, they leave a lot more information than they ever would for the dropdown form. They tell us so many about the problems, about the wider set of use cases so we can connect them better.
00:41:00 · David Senra, Mati Staniszewski
[00:41:00] S0: That's really interesting. So because they're speaking and not typing, you get more information? [00:41:04] S1: 100%. Mean, it's of course a quicker way of doing it, but also people just feel more at ease instead of going for this manual dropdown forum. It's just better way on leaving the information. But now, because we think it's going to be such a big part where everybody, every company will have their revenue engineering function. But in our case, we want that kind of AISDR function to be part of the company. We want it to help everybody across wherever you are. We are a global company. So it's central and then deployed to each local team. So each local team can refine it for the local new ones, but developed, of course, centrally.
00:41:48 · David Senra, Mati Staniszewski
[00:41:48] S0: I found one of my all time favorite quotes when I was reading the book Zero to One. The quote says, the single most powerful pattern I have noticed is that successful people find value in unexpected places, and they do this by thinking about business from first principles instead of formulas. That is exactly what AppLovin has done with their advertising platform. AppLovin connects you with over a billion potential new customers inside mobile games. AppLovin allows you to capture undivided attention. AppLovin ads are full screen video ads that are watched for an average of thirty five seconds. That is retention that blows other ad platforms out of the water. And you can launch on AppLovin in minutes. You set the goal, and AppLovin achieves it. There's no complex setup, no expertise needed, and AppLovin scales quickly. They can put your ads in front of over a billion potential customers. Other businesses have seen immediate results, have scaled to hundreds of thousands of dollars of spend per day, and increased their revenue by millions. So you wanna get started quickly before all of your competitors are on Applovin. And you can do that by going to applovin.com. That's applovin.com. Do you still think of ElevenLabs as a single company? Many different products do you guys have right now? [00:43:05] S1: We have three kind of core product lines, and then we have additional three that are developing... [00:43:14] S0: Developing bets. But how many different, like, applications?
00:43:14 · David Senra, Mati Staniszewski
[00:43:14] S0: Developing bets. But how many different, like, applications? [00:43:17] S1: Well, within each of those, we'll have, let's six are core and then within that, can do, of course, maybe 20, 30 different things. [00:43:26] S0: Yeah. It seems like you have a ton. Yes. Like ElevenReader, for example. [00:43:30] S1: Yes. But it's, you know, it's like ElevenReader or ElevenProductions which help you with the human loop aspect to correct the content and localize that to another language. [00:43:38] S0: Where's all the revenue coming from? [00:43:39] S1: The biggest nines are on the agent side and the creative side. So the number of use cases that deploy conversational agents is just skyrocketing today for us. [00:43:50] S0: And are you seeing a specific industry that's adopting them faster or no? [00:43:55] S1: I think the quickest today for us is FinTech, Super quick. Like Revolut? Revolut, exactly. Klarna, PagBank, like all of those companies are just moving at another speed or customers bank in The US here. Then the healthcare, retail, e commerce, and telcos are the four of the biggest ones. FinTech is moving the quickest. Of course, it's slightly different regulatory aspects. But then I think the healthcare telcos is the second, and retail e commerce just this year started going through the wave. [00:44:30] S0: I'm going ask you one more time. Just want go back to this in case we missed anything. Is there anything else that you learned working at Palantir that we didn't talk about that you think is valuable?
00:44:38 · Mati Staniszewski
[00:44:38] S1: Well, this is a stretch and I'm biased. But in Palantir, frequently there was this concept of how you need a little bit of the understanding of the art to do your job well or people need to effectively try to be artists even if we aren't. Like one of the phrases that was used was artist colony and if that was ever publicly said, I never fully appreciated the strength of that. But I do feel like a lot more about this now as we kind of intersect that AI and creative space in many ways, whether it's building the audio research models. There's a lot of new ones in how that's delivered. Like, even every voice that is delivered, like George and ElevenReader, like everybody will have their own preference and how you make sure you capture those voices, how you deliver those preferences a tricky challenge. Then two, as you work with some of the brands that are trying to define how they communicate with the world, that too requires some of the art in that. And we're trying to bring, of course, a lot of the people to combine that. But blending that art and science, Palantir definitely tried to do. I think I'll let Ladders judge to put it successfully, but we also will try to do and hopefully are doing good steps in that direction, whether it's the voice marketplace that we talk about, whether it's having a lot of creatives in the company building projects with us or around us, the kind of four to five engineers or four to five creatives almost to work with the customers, I think that blend will be increasingly important. Everybody talks about taste now, how taste will be defining front of AI. Behind the buzzword, I think there is a lot of truth to that where, yes, increasingly everybody will be able to create everything. What defines above good product experience, good deployment experience will depend on how the design language sounds, how tasteful it is, how you bring that across. So I think Palantir tried to do it. We are trying to do it too.
00:46:41 · David Senra, Mati Staniszewski
[00:46:41] S0: Yeah. I think what you're you're getting at is there's this guy named Edwin Land. He's the founder of Polaroid. I discovered him because he was Steve Jobs' hero, and Steve Jobs was talking Yeah. [00:46:49] S1: Yeah. Remember it. Yeah.