Pipecat Cloud: Enterprise Voice Agents Built On Open Source - Kwindla Hultman Kramer, Daily

6.1K views · Jul 31, 2025 · 26:46 min · Watch on YouTube ↗

Takeaway

Open-source Pipecat plus Daily's WebRTC infrastructure can hit the ~800ms voice-to-voice latency that real conversational AI requires.

Summary

Daily's Kwindla Hultman Kramer covers Pipecat (open-source, vendor-neutral) and Pipecat Cloud for production voice agents.
Latency target: 800ms voice-to-voice; humans expect ~500ms response in conversation, so missing this loses most normal users.
Three responsibilities of a voice agent stack: write code, deploy code, connect users via WebRTC/telephony to that agent.
Pipecat Cloud sits on Daily's real-time A/V infrastructure (since 2016) and handles deployment + scaling for enterprise voice agents.

voicepipecatreal-time

Original description

Voice AI agents today can conduct natural, human-like conversations and perform a wide variety of tasks: customer support, lead qualification, healthcare patient intake, market research, and more.

Today's best voice agents combine: realtime responsiveness, open-ended conversational intelligence, reliable instruction following, and flexible integration with existing back-end systems.

Learn how to build state of the art voice agents using Pipecat's open source, vendor neutral tooling. You can deploy Pipecat agents to your own infrastructure or to Pipecat Cloud.

Pipecat is used and supported by teams at NVIDIA, AWS, Google DeepMind, OpenAI, and hundreds of other companies.

Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter