Sramana Mitra: Are you looking for billion-dollar TAM companies that are potential unicorns or are you open to the possibility of companies that are going to be solving niche problems with the kinds of technologies that you’re talking about but don’t necessarily have the billion-dollar TAM? Maybe they’re lower TAM companies and they’re going to result in smaller exits.
Curtis Feeny: One of our strategic theses is, both Jim and I believe that investing in early-stage companies with a smaller fund size gives you the opportunity to have excellent returns for your investors with $300 million to $500 million exits. We can return the fund on a $500 million investment if we do it right. That does not have to be a unicorn. What it does need is very high >>>
Sramana Mitra: When did you invest in this company?
Vivek Ladsariya: This was a round that was announced in January. It was completed late last year.
Sramana Mitra: It’s already acquired?
Vivek Ladsariya: That’s correct.
Sramana Mitra: What’s the total amount of funding to exit ratio? How much did you put in and how much was the exit price? >>>
Sramana Mitra: In other words, you are okay with companies that have some customer validation but not necessarily revenue?
Curtis Feeny: Absolutely. We have a few more deals where we put $250,000 to $750,000, take a lower ownership position, and bet on that team to get to final product. Maybe they have an alpha product or maybe early beta but no revenues. It’s not even necessarily a price round. We might do a convertible note with a cap on it just to give us access to the deal and the team and then hopefully, make a core investment.
Sramana Mitra: What about geography? >>>
Sramana Mitra: What about geography? Do you invest all over the United States or just in the two locations where you are located?
Vivek Ladsariya: We have companies across the US. We are also looking for companies outside the US. We have looked at companies coming out of Israel and Latin America.
Sramana Mitra: Let’s take a few companies from your portfolio and double-click down to understand what you’ve invested in. How do you decide what to invest in? Give us a few examples. Take us through the process of understanding of how you’ve decided to invest in those companies. >>>
Responding to a popular request, we are now sharing transcripts of our investor podcast interviews in this new series. The following interview with Curtis Feeny was recorded in April 2018.
Curtis Feeny, Managing Director at Silicon Valley Data Capital, talks about his firm’s investment thesis around Big Data and Machine Learning.
Sramana Mitra: Let’s get our audience introduced to you. Tell us about your fund, investing focus, a bit about your background. Let’s get the audience to know you. >>>
Responding to a popular request, we are now sharing transcripts of our investor podcast interviews in this new series. The following interview with Vivek Ladsariya was recorded in April 2018.
Vivek Ladsariya, Partner at SineWave Ventures, talks about the firm’s investment thesis, as well as trends in the industry.
Sramana Mitra: Let’s start by introducing our audience to you as well as SineWave. What is your investment focus? How big is the fund? >>>
Milos Sochor is Managing Partner at Y Soft Ventures, a firm in the Czech Republic. Fascinating conversation about how a small region is gradually becoming a powerhouse of innovation and entrepreneurship.
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Sramana Mitra: Do you invest only in the Boston area only?
Nilanjana Bhowmik: We invest up and down the East Coast. The big tech hubs on the side are Boston, New York, and surprisingly Toronto.
Sramana Mitra: Great. What are the highlights of your current portfolio? We are probably talking about Longworth as opposed to Converge.
Nilanjana Bhowmik: I’d say a good range of companies spanning all the way from infrastructure to the application layer. We just transacted a company in the crowdsourced application testing that we backed in 2009. This was called Applause. They created this whole concept of on-demand testing of software that truly leveraged cloud so that you need not have your own infrastructure of testers and professionals >>>