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Capital Efficient Strategy for Generative AI Startups: RavenPack CEO Armando Gonzales (Part 1)

Armando has built an AI company over 20 years, deeply focusing on Finance and Trading.He discusses his journey, and also reflects on how generative AI startups can be built in a capital-efficient manner. Great conversation! Sramana Mitra: Let's start at the very beginning of your story. Where are you from? Where were you born and raised? What kind of background? Armando Gonzales: I'm the CEO and Founder of RavenPack. I'm from San Diego, California. I currently reside in Spain where I started my company. Sramana Mitra: Where did you grow up? Armando Gonzales: I grew up in southern California mostly. I ended up moving for college to France. I moved to Paris where I studied both business and economics. It was in Paris that I met my early co-founders who were very interested in AI - specifically language AI. That brought me to Spain where it seemed like a good place to start a company. I'm in the southern part of Spain. It's on the Mediterranean coast. Sramana Mitr

Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 6)

Sramana Mitra: Data is clearly going to change the pharmaceutical industry. Susan Wood: Similarly to find sites. Here are 50 sites that do high-quality imaging

Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 4)

Susan Wood: There are people out there who are walking around with a prevalence of lung disease that they're not even aware of. You can have low-level or medium

Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 3)

Sramana Mitra: Did you succeed in raising venture capital? Susan Wood: Within the state, yes. The last round was a couple of years ago. That was with First

Building an AI-Powered Pharmaceutical Services Business: VIDA CEO Susan Wood (Part 5)

Sramana Mitra: What is the average deal size? Susan Wood: In phase three, it's in the order of $3 million to $5 million. I want to mention something else. When

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