Sramana Mitra: This strategy that you followed is good for companies that have a lot of early-stage funding. It’s not so easy to follow for companies that are trying to work in a very constrained financial resources situation. What did you learn? Focus on the nuggets of what you learned from the early customer engagements
Sramana Mitra: This problem has been identified a long time ago. People have tried to build such enterprise knowledge management companies before. I’ve seen many of these attempts. Mostly they’ve failed. While these attempts were made and failing, there was an explosion of digital tools and data. All this was happening in parallel. In 2019,
Arvind is an experienced entrepreneur who was able to raise $15M on a concept to solve a big problem. Since then, Glean has been abundantly funded, generates abundant revenue and has become a legitimate Unicorn. Sramana Mitra: Let’s start at the very beginning of your journey. Where are you from? Where were you born and
Rohit has effectively used the Bootstrapping Using Services technique to bootstrap an AI-Powered Enterprise Security venture to mid eight figure revenues. In that process, he has turned down offers for Venture Capital. I believe, in Artificial Intelligence and Machine Learning, currently, Bootstrapping Using Services is one of the best ways to find problems to solve
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Sramana Mitra: Series A is the last financing round? Chris Lu: That’s been our last financing. Sramana Mitra: Talk about your virtual team. You’ve chosen to move to Houston and build a virtual team.
Sramana Mitra: In terms of function, it was still operating as a UI to OpenAI. Chris Lu: Right. The early models were not as easy to use compared to the models today. There was still a good amount of work required to get good results. Sramana Mitra: With the timing of the development of OpenAI