Q Yep. Okay. That makes good sense. And how are you, talk to me about the engine you're using. To kind of get these companies. Is it, is it manual or are you buying access to like Clearbit and full contact and some other things? How, how's the system, the engine work?
A So, so it's a combination, uh, it's a combination of a few sources. Uh, we tap, right now we have about 85 different sources, uh, that we tap into. Some of them are the most naive ones, you know, the directories, the websites themselves, um, the, the, the U.S. Patent Office, uh, job hunting, uh, directories and sites. Uh, we do a lot of NLP work on the articles. We go ahead and crawl the articles that every company, that the company being reviewed was mentioned in. And from those articles, we are able to extrapolate positive sentiments, negative sentiments, competitors, and lots of other stuff. Um, so all of these sources are run through our business engine. The business engine has a comparable function. So we actually calculate valuations and, and chances of, of exit, et cetera, by comparing the company to the comparable companies that are engine found. Uh, and we have a business rule engine, which flags We have possible risks and possible opportunities for the company based on the information that we found. I'll give you just a couple of very quick examples. If we see that the company, if we see that a company has been hiring employees or is on a hiring spree lately, we flag that as something which, which the investor should, should note. If we see that a single company, a particular company has, you know, 20% more core engineers than its closest competitors, We flag it as an…
AI assessment note: “we tap, right now we have about 85 different sources”