Sramana Mitra: That’s yet another nuance on it. That is basically developing, having AI platforms, AI technology tools, and then developing solutions for people. So that’s more of a traditional solution services companies that are now AI enabled solution services.
Sramana Mitra: Okay. The reason I’m asking this question Gaurav is, so as you know, AI is easier to control in a more constrained mode. The more degrees of freedom you give it, the more it is difficult to control all the issues like hallucination and precision. AI has a tendency to make things up
Gaurav Chaturvedi, Partner at Kae Capital, discusses the trends he is seeing in the Indian startup ecosystem.
Sramana Mitra: So what of platforms and this euphoria – this absurd amounts of funding that are going into a handful of very large platform companies? How do you analyze them? I can understand that you don’t want to invest in them.
Sramana Mitra: So Ashish, I’m gonna switch gears a little bit and ask you about hallucination. Now, here’s an amusing anecdote. A friend of mine sent me a screenshot. He tested what Meta has to say about Sramana Mitra.
Sramana Mitra: I’ve recently talked to a number of people who are looking at the services aspect and the human-in-the-loop aspect. Have you invested in companies with human-in-the-loop?
Ashish Gupta, Partner at Clearvision Ventures, has been in the industry for a long time and has an interesting perspective on AI investing.
Sramana Mitra: I have one last question, Yash, before we adjourn. The SaaS industry has been around for 15-20 years. Around 2008 is when it started really hitting its stride. It’s 2024, so it’s been a while. Then AI came in around 2015-16. Generative AI came in last year. There are cloud companies, SaaS companies, and