is three. Probably the most interesting question is actually what inspired me to start our company, which called Erin. So my background is in consulting. So I for 25 years was an enterprise consultant in a very narrow technical field. And I ran global consulting practices for Fortune 500 companies in Silicon Valley for a really long time. And so it's with the client. It was actually the chief technology officer of you, of you and you health as though nice that it was kind of tired, and we were working on a big, complex project, and it was going badly, and I needed to find an answer for my client. So I reached out to a lot of my partners and a lot of my colleagues at really big companies like Microsoft and Google and Accenture and asked them, Surely you've solved this problem. I need this for my client. Can you help me and all of them? Said Linda, We don't and if you want to solve it, will help you build it. So that led to having 120 conversations because I could not believe that no one has solved this problem yet. in Enterprise, and all 100 and 20 of them said, We don't have an answer for this, so that's kind of what inspired it and decided then to put together a pitch deck and started the company.

AI deep technology company. And what that means is, we're the first to actualize in AI theory from the 19 eighties related to knowledge engineering. That means it's not an app. It was actually a really big lift. Three years and what we were building. We weren't sure that it could be built. So one of the first things that I did before even just kind of put together a draft pitch deck. I reached out to the Park City Angels, which is here local to me, because I read that Angels usually are more geographic, and they showed interest in funding us. But my second call was to the head of strategy of Microsoft Ventures. So I had met this person before at a conference, and I just asked for his feedback on the deck. And she actually then became our investor goddess, spending from a Microsoft Ventures seat fund and became her first board member and is still on our board today. So that changed everything. It was radical because what that seed funded, they hired three enterprise architects for us. Normally, you'd have one, but because this problem hasn't been solved before, they took one former original architect of AWS at their cloud solution, Amazon Cloud and then to Microsoft Architects and the head of Microsoft. RND worked on our enterprise a p I as well. And so it it took. So for the 1st 6 months, we had these three engineers up in Bellevue, Washington. Your Microsoft just trying to get the foundations of Aaron if this was even possible. So that changed. In the next few months, we got funding and then built, had a team than built our own engineering team and took over that first team and the company started.

challenge initially with my co founder and I are not engineers. And yet we were building an AI deep technology company. We were more from the from the point of view of the business problem. So given my background is consulting, I understood the business problem really well. And my co founder is a genius and designing solutions and designing complex solutions. So she leads engineering, but neither of us code. So it's quite a bit to go pitch that you're going to start in a I. D technology company when there's no CTO. We were literally two women, two laptops and cartoons on slides in our first round, but we raised just under 700,000 so that was plenty to get started. The composition the team changed once we got that foundation of the Enterprise AP I built, then we harder into engineering teams. So we've got a big brain who's a PhD and, you know, now solved all our problems on a I, which we have patents for now. So he's fantastic and have other senior staff. Not with us, too. So there's eight of us total. We're still in a start up stage when the seed stage