 At AASTEE, we are building applications that utilize machine intelligence technology for solving large problems. The real uniqueness in AASTEE comes from our core idea behind the technology which is that data has shape and shape has meaning. Anything that's statistically significant about a data set is actually a characteristic or a feature that's expressed in the shape of the data. Over the past many years, we've made it super convenient and cheap to construct large data sets. The fundamental problem is that the space of questions, the possible hypotheses, grows so much more rapidly that it's no longer feasible to just ask your questions, there's just too many to ask. So the technology that we have developed basically automatically discovers insights from data without the need of asking questions upfront. There are two types of large problems that we are engaged in solving today. We are engaged in building software that mimics what people do like vision software, speech software. But there's also a set of problems that are fundamentally larger than sort of a human scale problem, right? Things like constructing better models of fraud for insurance companies, discovering drugs, things like constructing better care pathways for hospitals. We as a company expect to make a huge change in these areas. For example, discovering cures for diseases is a problem that's fundamentally larger and more complex. When you're constructing a drug, you collect data about patients, right? You will go out to a bunch of hospitals, collect data about thousands of patients. And for every patient, you will measure, you know, anywhere from tens of thousands to millions of genetic markers with their clinical information. You kind of have to figure out, you know, what does a disease look like? Is it a single disease? Does it have multiple categories in it? Which features, which combinations of genes represent these categories? And how might you construct a drug? These are all problems that are beyond human scale problems. They are not intuitive for us, in which something that might have taken a decade to do, people can do in minutes on their computer now. Innovation to me is a sense of adventure. It's the way in which you basically make science fiction possible. And in some sense, that's something that really drives us at AASTI is because our software enables people to be much more innovative because they can discover things in data that they might never have thought about. And that's really what keeps us motivated and interested in building a better future. My name is Gurjeet Singh. I'm one of the co-founders and the CEO of AASTI.