00:24:36 · Mati Staniszewski
[00:24:36] S1: So, of course, we do a variety of models. And I recently had a pleasure of meeting Jansen, and he was commenting on a few of those models. And he said that our speech to text or speech to text models are technology, and text to speech is artistry, and we are all artists. So he gained a client for life. But, of course, we do believe there is a little bit of that to to really fix text to speech and fix that emotionality. You will need to be really focused on that space. You really need to get in front of users, collect the data, collect the preferences, use that to fine tune their models. And then there's the domain specificity in how you actually bring those models to production. In health care, very different than in financial services, very different than in education or experiences. So that's on the model layer. I think there will be continuous advantage that if you actually care about the quality, spending the time on the model work will help you keep that advantage. But to your point, the models and a lot of use cases will use a model as just a small part of their stack. And that's where we spend a lot of time beyond going beyond the research on the product side of how you understand a user's problem, the workflow that they need. And voice agents is combining the audio models with knowledge and bringing that inside of system. How you bring it outside with telephony systems so you can interact across channels. How you evaluate, test, and monitor. And then as you create, whether that's in the agent space, whether that's in the creative space, that same understanding, you build the ecosystem. And that's what we hope to build across ElevenLabs, a place where, whether that's distribution and brand, that people can trust the platform where you have preexisting set of work that you can start off, whether it's a template for creating an agent, template for creating a workflow in the creative space, or whether that's a voice. And we had a pleasure now of having over 20,000 voices that people created, contributed, that you can use across language styles and voices. And I think that will be an increasingly important layer of how you are able to cater to that diversity, make it easy for people to start and really understand that workflow.
00:26:39 · Andrew Reed, Mati Staniszewski
[00:26:39] S0: Alright. I'm gonna hand it back to Konstantin. Mati, thank you. [00:26:41] S1: Andrew, thanks for being a partner. Amazing. Thank you, guys.