Today Madrona Managing Director Karan Mahandru and Scott Stephenson, Co-Founder and CEO of Deepgram, a foundational AI company building a voice AI platform providing APIs for speech-to-text and text-to-speech. From medical transcription to autonomous agents, Deepgram is the go-to for developers of voice AI experiences, and they're already working with over 500 companies, including NASA, Spotify, and Twilio. Today, Scott and Karan dive into the realities of building a foundational AI company, meaning they're building models and modalities from scratch. They discuss the challenges of moving from prototype to production, how startups need to out-fox the hyperscalers while also partnering with them, and, of course, how Scott went from being a particle physicist working on detecting dark matter to building large language models for speech recognition. This is a must-listen for anyone building in AI. Full Transcript:  http://www.madrona.com/founded-funded-deepgram-scott-stephenson Chapters:

Introduction

From Particle Physics to Voice AI

The Birth of Deepgram

Building a Developer-Centric AI Company

Challenges and Early Decisions

Navigating the AI Market

OpenAI's Whisper and Deepgram's Response

The Future of AI and Speech Recognition

Deepgram's Real-World Applications