 Good afternoon, ladies and gentlemen. My name is Yoon Chang from Cochlear.ai, and we create ears for artificial intelligence. Let me kick off with a short question. How many of you use AI-enabled devices like this? Yeah, many people use smartphones, for sure. With the power of advanced machine learning technology, now these kinds of devices can see things and understand what people talk to them. But you know what? The thing is, these kind of devices cannot really understand sounds other than voice commands at the moment. We are all surrounded by millions of sounds that contains important clues of our surroundings. For example, when you listen to the raining sound, like in this morning, you might think of taking an umbrella or closing the window. Also, when you know a fire truck is approaching by listening to its siren sound, and this is the core question that triggered our innovation, how great would it be if AI can understand sounds other than speech? Cochlear.ai is a research-based company focusing on audio cognition technology, founded by a bunch of PhDs from Music and Audio Research Group, Cell National University. We provide our technology through cloud APIs, as well as on-device solutions. The system finds the presence of acoustic events, music, and speech, as well as in-depth information about it. Operating in a real-time, in a real-world environment, since API is the first available general purpose audio cognition API, as a simple use case, if smart speaker can understand the sounds of coughing, then it can be useful, for example, ask a user to take a cold medicine. Or analyzed age or gender information can be used for customized services, too. Furthermore, gunshot or glass-breaking sound can be used for surveillance purpose, too. And all these sounds will be heard in very meaningful ways with our system. We've been identified as our top four AI startups in the autonomous system in 2018 by NVIDIA. Also, we are a consecutive winner of IEEE Decades 2017 and 2018, which is the biggest challenge in this field. Cochlear.ai, we create years for artificial intelligence. Thank you. What is your strategy to go to market? At the moment, we are building APIs. And go-to-market strategy will be for now, we are having several B2B projects with big IT companies. So for now, we are discussing with mobile for manufacturers and music streaming service providers for music recommendation, too. So I think having collaboration projects with big companies for put this technology into device will be our first market for us. How are you building out the data set to train your system? Actually, there is two different kind of things. We actually really collect the data because we really need high-quality data. So we use part-time jobs and tagging and labeling, and we do by ourselves, too. And we are collecting license-free online data, too. Any more questions? And the present level of investment being made in the firm? I'm sorry? What level of investment do you have and where from? At the moment, we just finished the Cideron investment last year, and we are looking for Series A investment in 2019, mid to end of 2019. And have you talked to any of the in-home device companies yet? Actually, we are talking with some home appliance companies, which we cannot reveal at the moment, but there is ongoing project with POCs. All right, thank you very much.