 Hi, eventually I'm Steve Gallant, founder of Multimodal Research. I'm here with Dan Greenberg. Suppose you run a hospital. Cepsis, a kind of generalized infection, is a major concern because one quarter of the people that die in your hospital are due to Cepsis infection. It's vital to be able to diagnose and even predict Cepsis, it's a matter of life and death. So we're Multimodal Research, what we do is machine learning with text. For example, text in the electronic medical record, doctor's notes, and so on. We have a new patented representation for text that allows for much faster and more reliable machine learning. So to give you an idea of how it works, we make text look like a row in a database. That's a quick idea. We have initial projects for computer assisted coding, that is, going from the electronic medical record and producing disease, medical disease or treatment codes. We also have a project with Bay State Health for trigger alarms for Cepsis and other conditions. We estimate our initial market in health care at 300 to 500 million just for health care. This year we're doing an angel round in order to get us past proof points and also to get us to revenue and also to begin to move our machine learning from text platform to the cloud. We have a strong team, technical, business and software development. So that's us, Multimodal Research, faster machine learning, initial focus on health care market, then moving our machine learning from software to the cloud. Come visit us. Thank you.