Lessons From the Front Lines of Building an AI Startup
About this episode
Ahmed Rashad shares insights on building an AI startup and the importance of specialized training data for AI models.
Ahmed Rashad started his career on an oil rig, taught himself to code, and went on to build and sell a company. After stops at Oracle, MIT, McKinsey, Amazon, and Scale AI, he founded Perle to solve a problem he kept running into: the AI data gap. Perle builds specialized training data for AI models in fields like medicine and linguistics — the niche areas where general AI struggles.Despite the anxiety around AI, Ahmed believes the upside far outweighs today’s disruption. Faster development doesn't shrink markets; it expands what's possible. In his view, AI isn't replacing human potential. It's amplifying it. Tune in to hear: Why the right VC partner matters more than the biggest check The 4 things founders should never delegate How to keep investors engaged and informed What Arabic’s 22+ dialects reveal about the depth of the AI data gap With experience at some of the world’s leading companies and now as the founder of an exciting AI startup, Ahmed has valuable insights on today’s startup ecosystem. Don’t miss this episode for practical, hard-earned advice from a founder who has been in the thick of it since day one. ----Stay connected with our host, Kate Adams, here on LinkedIn…
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