[SaaS Series] Building the Future of Voice AI With Kwin Kramer

Kwindla “Kwin” Kramer is the CEO and Co-founder of Daily, a leading real-time video platform that provides APIs for integrating audio, video, and AI into apps. Under his leadership, Daily has powered millions of video and voice minutes each month for clients like AWS, Google, Epic, and Nvidia, and is recognized as a Y Combinator Top Company. An MIT Media Lab alumnus, Kwin previously co-founded Oblong Industries, creator of the gesture-based interfaces seen in Minority Report. He is passionate about advancing distributed systems and AI to shape the future of telehealth, education, and conversational technology.

In this episode…

Imagine a virtual assistant that not only schedules your appointments but also remembers every detail of past interactions — across healthcare, education, and even gaming. What if seamless real-time audio, video, and AI tools could elevate these experiences for everyone, not just the tech elite? How did the journey of making this technology accessible to millions actually unfold?

Kwin Kramer pioneered developer infrastructure that makes embedding real-time audio, video, and AI into products simple and scalable. Drawing on his experience at Y Combinator and Oblong Industries, he learned to bridge the gap between imagination and reality for companies such as Boeing and GE. With Daily, Kwin shifted to empowering startups in telehealth, edtech, and more with open, scalable tools. His work enables doctors, teachers, and other professionals to harness AI and real-time media, signaling a future where AI copilots transform daily life.

In this episode of the Inspired Insider Podcast, Dr. Jeremy Weisz interviews Kwin Kramer, CEO and Co-founder of Daily. They explore the evolution of developer tools, lessons from Y Combinator, and how open-source ecosystems are shaping healthcare, education, and more. The conversation covers how Daily powers telehealth, adaptive learning, and conversational agents; the shift from custom demos to scalable APIs; and why the future of software is voice-first and deeply personalized.