Daily
WebRTC APIs for putting real-time voice and video into your own product, increasingly used for AI voice agents.
Highlights
- WebRTC Video & Audio APIs: Easily integrate video and audio capabilities into your applications with Daily’s robust APIs.
- Global Mesh Infrastructure: Benefit from a global network that provides low-latency, high-quality connections.
- AI Agents: Enhance your applications with AI-powered features such as voice recognition and sentiment analysis.
- Low Latency Streaming: Deliver real-time streaming with minimal delay, crucial for interactive applications.
- HD Recording and Streaming: Capture and stream high-definition video with advanced recording capabilities.
- Advanced Analytics: Gain insights into your application’s performance with comprehensive analytics.
- HIPAA, SOC 2, and GDPR Compliance: Ensure data security and compliance with industry standards.
- Multiple SDKs: Use SDKs for Web, iOS, Android, React Native, Flutter, and more to build cross-platform applications.
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About Daily
What it is
Daily provides APIs and SDKs for building real-time voice and video into applications — the underlying WebRTC infrastructure, handled as a service rather than as something you operate. It has become a common foundation for AI voice agents, where a model needs a low-latency audio path to a user, and maintains the open-source Pipecat framework for building those pipelines.
Why it's different
Real-time audio and video is deceptively hard: network conditions, echo cancellation, device quirks and the latency budget are a specialist discipline, and teams who build it themselves usually spend a year discovering why. Buying that is sensible. Against Twilio, Agora and LiveKit, Daily's distinction is how deliberately it has oriented towards AI voice — Pipecat in particular is widely used and open, which reduces how locked in you are. Weigh the usual infrastructure considerations: usage-based pricing that scales with minutes, and a dependency on one provider for something central to your product.
How people use it
It is used by developers embedding video calling in an application, and increasingly to build voice agents — a customer service line, a language tutor, anything where a model must listen and speak in real time. The realistic evaluation is latency measured against your own users' networks rather than a published figure, since perceived quality in a voice conversation is almost entirely about delay. Starting with Pipecat is the well-trodden path for an agent.
Written by the n3os team. We are not affiliated with Daily.
This listing was written from public information, without Daily’s involvement. If you own it and something here is wrong — or you would rather not be listed at all — email us and we will correct or remove it.
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