Invest with AI
00:40:35 · Sagar Kadakia, S3
It's just how fast are your systems internally able to aggregate lots of information, generate questions, push it to Qualitate, get those answers back, and then make a decision on what to do, right? Do you have that infrastructure built? That's what people are building today. [00:40:58] S3: Like even like as today, or living ahead. It would be a good problem for you to have. [00:41:04] S0: Yeah, it would. I I actually think uh the the population of experts is increasing uh because we've now made it a marketplace. So I think about like, for example, like pre-Uber, uh you got to call a taxi dispatcher, and there was definitely like a limited number of cabs. Now, I mean, anyone can be an Uber driver, right? Because you could do it on your own time, your own schedule, all these types of things, right? Um, there's there's you don't need like a $2 million medallion or whatever it is, right, to ultimately, ultimately drive. And so the and not everyone can take a call tomorrow at 3 p.m. during work, right? And so actually the pool was quite finite uh because all the restrictions in place, right? Now those restrictions are no longer in place. And so the pool of experts is actually dramatically higher, um uh, which is uh why the the addressable market is going to substantially increase, right? What's qualitate doing? Qualitate is making primary research faster and cheaper. What happens when you make things faster and cheaper? People want more of it.
00:41:04 · Sagar Kadakia, S3
[00:41:04] S0: Yeah, it would. I I actually think uh the the population of experts is increasing uh because we've now made it a marketplace. So I think about like, for example, like pre-Uber, uh you got to call a taxi dispatcher, and there was definitely like a limited number of cabs. Now, I mean, anyone can be an Uber driver, right? Because you could do it on your own time, your own schedule, all these types of things, right? Um, there's there's you don't need like a $2 million medallion or whatever it is, right, to ultimately, ultimately drive. And so the and not everyone can take a call tomorrow at 3 p.m. during work, right? And so actually the pool was quite finite uh because all the restrictions in place, right? Now those restrictions are no longer in place. And so the pool of experts is actually dramatically higher, um uh, which is uh why the the addressable market is going to substantially increase, right? What's qualitate doing? Qualitate is making primary research faster and cheaper. What happens when you make things faster and cheaper? People want more of it. [00:42:06] S3: But wouldn't something like uh, I don't know, an SVP of cybersecurity uh with 20 years of experience, like the supply of that's fixed.
00:42:06 · S3, Sagar Kadakia
[00:42:06] S3: But wouldn't something like uh, I don't know, an SVP of cybersecurity uh with 20 years of experience, like the supply of that's fixed. [00:42:16] S0: Yes, I maybe. I mean, there's there's lots of cybersecurity professionals. Uh, and you could definitely, I mean, you could definitely make an argument there are uh more cybersecurity experts that would participate if they could participate anytime they wanted to, versus just nine to five on a traditional model, right? That's for sure, right? I think that's that would be undebatable. And so that's kind of how I see uh the world, which is now everyone who's an uh SVP of cybersecurity can participate versus before it was a very limited pool of people within that that could actually participate because again, you got to do the call nine to five, you got to want to talk to someone on a phone, does your schedule map up with that other person's schedule? All those things, right, that created a barrier, right? And so two things happened. One is the pool of experts is small. And then two, what's actually the real population of people that have actually even done an expert call with an SVP of security? Probably some fraction of them, right? Because it's costly, it's expensive, it's hard to justify. Now move to qualitate, right? Calls are a third of the price. They happen in in days and hours. There's no scheduling, and the pool of experts is much larger because now they can participate whenever they want to.
00:43:30 · Brett Caughran
[00:43:30] S1: Why why not build a build a corpus? Not necessarily of channel checks, which sort of like the hey, how's the quarter shaking out? It's going to have a pretty fast decay rate. But, you know, hey, former CFO of this company, let me ask you 64 deep dive questions on how this industry operates, et cetera. Yeah, that has a longer shelf life. And if I'm trying to get up to speed on an industry and I can steer my agent right away towards a deep corpus of those, you know, sort of deep insights, that's a that's a really powerful. Up to speed motion, and you do that once and monetize this across clients.
00:44:05 · Sagar Kadakia
[00:44:05] S0: Yeah. So that's the that's the first product that we built, which was um qualitate was just spending its own money of millions of dollars going out and proactively interviewing folks, right? The interviewer was asking its own questions, right? It was asking qualitate questions, right? So it was going out there and just capturing. So that product still exists. Uh uh the moderator or the interviewer does thousands of calls uh uh on behalf of Qualitate, not behalf of a client, right? And so there's this massive library that's being generated, right? Uh, which will shortly be the fastest growing library in the world, right? It's just we're constantly going out there. The AI interviewer is constantly absorbing new information. It's using that information on the next call, it's compounding knowledge, right? That is the first product that we built. And then, of course, all of our clients were like, hey, I want to send that moderator out with my own questions. And then, of course, uh, that was the second product that got launched here at Qualitate, right? So now our clients can come in and tell the moderator, hey, go out and do 15 more calls for me. You have already, you know, done a couple hundred calls on this name. And so um, we do both. And so our library is unique and the only library which is totally objective because it's not investor-led calls, right? When you think about all the libraries out there, it they're all disparate call libraries or just flat files that you can search through, right? And frankly, they're not objective because investors have a hypothesis that they're trying to validate and they take someone down a path, right? And so what do you have? You have a bunch of like unobjective transcripts. This is why quality exists today. This is why hedge funds are using the product today, because you have libraries that are not objective, right? That are just an amalgamation of a bunch of like calls, right? One's a hedge fund, one's a VC, one's a corp dev. They're all asking different questions. There's no concepts of longitudinal analysis. You can search, but you cannot query. Qualitate allows you to query. It's quote unquote, one person doing thousands of calls every week, every month, right? It's the one interviewer. It gets smarter on every call. It asks a lot of the same questions.
00:46:09 · Sagar Kadakia
So you can do a lot of structured analysis, you can query our transcripts. It's the first uh platform, to my knowledge, where you can do longitudinal analysis on transcripts, where you can quantify transcripts. And so uh it was a huge unlock when we built this product because it was the first time where you could go through thousands of transcripts um numerically, right? Which is uh not something that you can currently do on with other providers. And so those are among the other products that we sell, um two of the reasons that people use qualitate. One, because all the information we already have, uh, and then of course, uh the fact that when clients launch their own interviews, those stay with them, and that's their alpha. It never goes back into the core library. We don't need to. The AI interview is doing as a lot of interviewing itself.