Deepgram Is Acquiring Daily, Makers of Pipecat

Deepgram, a voice artificial intelligence infrastructure company, is acquiring Daily, creators of the Pipecat open-source voice agent framework. Financial terms of the deal were not disclosed.

With Pipecat and Daily underpinning Deepgram's new Voice Agent Platform, alongside Deepgram's speech models, Deepgram will offer a complete, open, production-grade platform for conversational voice AI, so developers can build and scale agents while keeping control over their architecture and model choice.

"Keeping Pipecat open was fundamental to our decision to join Deepgram," said Kwindla Hultman Kramer, co-founder of Daily, who joins Deepgram as the new head of open source, in a statement. "Deepgram has always been the voice AI company that takes production seriously, and their commitment to keeping Pipecat open is rooted in a belief, which I share, that the future of voice depends on developers being free to combine the best ideas from across the industry and build on each other's work."

"Kwin and the Daily team deeply understand what it takes to keep a live conversation working reliably, and Pipecat gives developers the freedom to build with the models they choose," said Scott Stephenson, CEO and co-founder of Deepgram, in a statement. "Acquiring Daily allows us to bring that expertise together to tackle the whole voice system and give developers a faster path from prototype to production."

Deepgram at its Speak customer event in San Francisco also introduced the Real-Time Context Standard (RCS), an open protocol co-developed with Pipecat to carry context across an entire conversation. RCS defines three new types of metadata: context from the audio, such as a whisper or an unclear word; instructions for how a language model should use those signals; and guidance for how the response should sound. That lets an agent ask for clarification when it didn't hear clearly or respond quietly to someone whispering. Adapters translate those signals and delivery instructions for each model, so developers can use the same approach with models from different providers.

"Too many teams treat voice AI as a feature to add late in the roadmap. In reality, it's a distinct infrastructure discipline, with its own demands around latency, accuracy, and scale," Stephenson said. "We've all seen a voice AI demo that makes the future feel close, only to fail the moment it's needed. The real challenge is making that experience reliable when people actually depend on it. Our Real-Time Context Standard addresses what gets lost along the way."

At Speak, Deepgram also previewed the Deepgram Voice Agent Platform, which brings Deepgram's models and Pipecat's open infrastructure together to give developers an integrated path to production while preserving model choice, as well as two models for live conversations, expanded language support, and a Global API to improve connection reliability and reduce latency.