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Is voice AI the next computing interface? | Daily

What happens when we start talking to machines like we talk to each other? Kwindla Hultman Kramer is the CEO and co-founder of Daily, which sits at the exact intersection of real-time infrastructure and the AI agent explosion.
Chelcie Taylor
Chelcie Taylor
May 21, 2026

What happens when we start talking to machines like we talk to each other?

In this episode of Notable Perspectives, Chelcie Taylor sits down with Kwindla Hultman Kramer, CEO and co-founder of Daily. A decade-long bet on real-time audio and video infrastructure, Daily quietly built the plumbing that powers telehealth, education, and enterprise communication. Then GPT-4 arrived — and Daily’s infrastructure became the backbone of the voice AI revolution. Their open-source framework Pipecat is now the most widely used toolkit for building production voice agents, from customer support bots to robotics systems. Backed by $60M+ in funding from investors including Renegade Partners and Lachy Groom, Daily sits at the exact intersection of real-time infrastructure and the AI agent explosion.

Join us as we explore:

  1. The Lightbulb Moment: How GPT-4 turned a video infrastructure company into the backbone of the voice AI revolution — and why Kwindla saw it before everyone else.
  2. Healthcare’s Surprise Adoption: Why the most regulated industry in the world became the fastest adopter of voice AI — and what that signals about every other vertical.
  3. Agents Are Just Loops: The engineering reality behind the AI agent hype — and why the hard problems in voice taught Daily lessons the rest of the industry is just now learning.

Chapters

00:00 — The Big Shift: From talking to people → talking to machines.

01:26 — A Decade Bet: Building real-time communication before AI.

02:32 — The GPT-4 Moment: When voice AI finally “clicked.”

03:47 — From Demo to Inevitable: Overcoming early skepticism.

04:25 — Opening the Floodgates: Why Daily open sourced Pipecat.

05:39 — What Makes It Hard: The real challenges behind voice agents.

07:03 — The New Architecture: Multi-model, multi-agent systems emerge.

08:55 — Unexpected Winner: Why healthcare is adopting fastest.

11:04 — How It Actually Works: The simple loop behind every agent.

13:50 — What Comes Next: Voice becomes the default interface for software.

14:36 — Headless Interactions: The rise of voice-driven, screen-light experiences.

15:07 — Building with a Partner: Founding a company with your spouse.

16:35 — Tradeoffs: Why that dynamic works for some—and not for others.

16:55 — Closing: The future of voice AI and building what comes next.

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