Tegus Co-CEO Tom Elnick on the Integrated Investment Platform

TIGR stands at the forefront of company intelligence platforms, serving as the go-to solution for key decision makers worldwide. The co-founder and co-CEO Thomas Elnick is joining me today to talk more about how he navigates through some of the most challenging problems they are facing today, only on Taking Stock.

We sell a subscription platform for professional institutional investors. And so what we're trying to do is take a lot of the grunt work out of them, the kind of research process, the manual, you know, gathering of data, the time-consuming, tedious, expensive parts of the research process, and ultimately making our customers more efficient and more effective. And really the way that we do that is through the right mix of data and workflow tools.

Your identical brother, Michael, you and him started this company, one of the fastest-growing companies in Chicago. I mean, what was your motivation behind this, especially going into business with your brother?

It's been an amazing journey. If you told me, Tom, you can start something with your twin brother, you know, it's kind of a pinch-me moment. But the way we got into the business is really a culmination of both of our backgrounds. So I used to work at a family office here in New York, you know, a few years of really like just doing deep fundamental research, kind of feeling like, gosh, there has to be a better way. And Mike was working at an expert network called AlphaSights. And, you know, really from his vantage point also felt like, gosh, there has to be a better way as well. You know, when you're 25, you kind of go on a journey and say, okay, let's go solve this problem.

And, you know, you recently launched a new integrated investment platform. Tell me about this platform. Why is it so significant?

We've done 3 acquisitions in our history. We are now integrating all of those datasets together. And it goes back to, you know, really building out this deep fundamental research platform from an end-to-end perspective. And so we are tying qualitative information and quantitative information. And when you think about what an investor's job is, it almost boils down to 3 legs of a stool. You have expert research, you have the company perspectives, right? Filings, earnings calls, investor presentations. And you have, you know, the financials, the KPIs, and the model. And now what we're doing is we're tying it together, we're connecting the dots for our users, and we're really applying the right workflow tools underneath it to make that whole journey a whole lot

AI, it's at the forefront of many discussions around the world, especially here on Wall Street. Tell me about how you're integrating AI into your business model.

Well, it all comes down to data and compute. And for us, we sit on lots of unique proprietary data. So a lot of our data is unstructured data. And so what we're doing with AI is we're taking all that unstructured data and we are structuring it in a way so that our customers can synthesize it and digest it at a fraction of the time that You know, they have to go do it today. On top of that, what we're doing is we're now connecting the dots between our qualitative unstructured data that now gets structured via AI with other datasets, whether that's filings and earnings calls or, you know, financial data like the KPIs, net dollar revenue retention, CAC, Rule of 40, et cetera. All of that now gets connected in a way that used to be incredibly difficult. And now we'll get it to you in a sec.

And it's all this data in one place.

All the data in one spot.

Well, thank you so much for joining me today. It was great to have you on Taking Stock.

Thank you, Trinity. It was a blast.