Lessons From the Front Lines of Building an AI Startup
episode
Startup Success: A Podcast for Founders & Investors
23 min
2 speakers
8 chapters
transcribed 4 days ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the main topic discussed in this episode?
Welcome to Startup Success, the podcast for startup founders and investors. Here you'll find stories of success from others in the trenches as they work to scale some of the fastest growing startups in the world. Stories that will help you in your own journey. Startup Success starts now.
Welcome to Startup Success. In this episode, I sit down with Ahmed Rashad, founder and CEO of Pearl Labs, a company building critical data infrastructure for the next generation of AI. We explore how Ahmed's experience at Scale AI, Amazon, and McKinsey led him to identify a major gap in the AI ecosystem. why high quality training data and human expertise are becoming more important than ever, and what the future of AI innovation will really depend on. We'll also dive into fundraising in a crowded AI market and what it takes for founders to stand out today. Well, thanks again for being here. I think it would be helpful for listeners if we set the stage and if you wouldn't mind, you know, sharing your past experiences, your background with us, and what led to the founding of Pearl.
Yeah, absolutely. I I started my career as an offshore oil driller and had a problem while working on the rig, told myself how to code, built a product, got acquired, became a software a little over twenty years ago. And uh it's just a sequence of chasing problems. It's it's it's been very, very straightforward. It's always been I have a problem, I need to solve it, let's figure out how to solve it, or I have a problem, I don't like what I'm doing, I need to find a way to make it go away and automate it. So let's build something to do that.
Impressive. Impressive. So you must have felt this entrepreneurial drive back when you were you said you started on an oil rig.
What is Ahmed Rashad’s unconventional career path before founding Perle?
Yeah, I wouldn't I wouldn't call it entrepreneur. I I know I don't wouldn't know if I call it intrapreneurial. I'd call it basically out of a a strong desire to not do the work I have to do, but I need to do. But I have to do it. So you could find it an easy way to do it.
Okay. That's fair. You know, they say founders that solve a problem the closest to them do the best. So you're on to something, I think. Yes. So how many companies have you been involved in prior to Pearl?
Let's see. I was at Oracle, McKinsey, Amazon, Scale, and then Pearl.
Wow, great. Okay, good experience. So wha tell us about Pearl and the problem you're trying to solve.
Yeah, the the problem we're trying to solve is teaching current AI models. very nuanced niche skills. The reality is the models that exist today, they are great at generic problems or generic understanding of language or generic medicine and so on and so forth. And the more specific the problem gets, the more difficult and the more struggle that the more that the model struggles to actually respond and respond accurately. So in medical niche use cases, for example, models will make more mistakes than if you ask a generic stuff of, oh, I have a headache. Should I take Advil or Tylenol? Right. But the more the more specific it gets, the more trouble it has and the more error prone it has. And that is understandable because of how we train the models.
And initially how we train them was we give it a lot of information. And of course there is a lot more to it than that, but I'm simplifying. And the models are now good at something, are good at that general and they can understand, they can converse.
Got it. So can you share was this problem close to you? And that's what motivated you?
Yeah, it was a problem that I was working on while I was at Amazon and uh yet models to work in initially. And then it was a problem that we worked at very closely at uh at scale, because obviously we we did a lot of data for the frontier models. And after I left scale, I took a little break and I was thinking I I thought I I took a little bit of time actually thinking about what am I going to do next. And almost every problem I this was doing discovery on, it came back to do you have good data. Or not. Like that was that was one of the massive bottlenecks.
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Chapters
8 chapters
1
What is the main topic discussed in this episode?
0:01–1:48
2
What is Ahmed Rashad’s unconventional career path before founding Perle?
1:48–4:34
3
How did Ahmed identify the AI data gap while working at Amazon and Scale AI?
4:34–7:31
4
Why does Perle focus on niche training data for fields like medicine and linguistics?
7:31–9:17
5
What challenges do Arabic dialects reveal about the AI data gap?
9:17–13:01
6
How is Perle’s fundraising strategy different from taking the biggest check?
13:01–16:17
7
What are the four things founders should never delegate?
16:17–18:47
8
How should founders communicate with investors to stay engaged?
18:47–23:26
Speakers
2 identifiedMore from Startup Success: A Podcast for Founders & Investors
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Q2 2026 Snapshot: The Startup Ecosystem
Selling a Startup, Buying It Back, and Changing How Founders Raise: A Founder's Story