Sramana Mitra: So could you double click on your AI algorithm of finding companies and give us a case study of a company that you found with that algorithm? What were the heuristics of how you found this and what were you looking for? How did the algorithm find what you were looking for? How
Sailesh Ramakrishnan, Managing Partner at Rocketship.vc, discusses his AI investment thesis and shares his firm’s use of AI in monitoring investment-worthy startups.
Sramana Mitra: I’m going to conclude with some general questions about how you see the industry developing. How do you view General AI?
Yash Hemaraj is General Partner at BGV, and Founding Partner at Arka Venture Labs. This is a very interesting discussion that goes into the nuances of high velocity Positioning and Go To Market strategies.
Sramana Mitra: We’ve done vertical industry-specific problems and functional problems in this discussion so far. Could you discuss a platform company that you have invested in?
Sramana Mitra: Let’s do quickly a few other companies and just focus on the problems they’re solving. We don’t need to go into the stages, but let’s just get a sample of the problems they’re solving.
Sramana Mitra: So let’s double click down on some of the companies that you have invested in and tell us a bit about the situation. At what stage did they come? What did they have already? What did you see that compelled you to invest in those companies? How do you see the potential? Let’s do
Sramana Mitra: So if you are doing a pre-seed round in AI, what do you ask to see in the company? Do you see an MVP? Do you see just a concept? What stage are you investing in?