The voice AI industry continues to attract significant attention from investors and companies looking to cement their standing as the market matures. Acquisitions and strategic partnerships have become common tools for companies seeking to expand their capabilities. Deepgram, a leading voice AI platform, announced Thursday that it has agreed to acquire Daily, the company behind one of the most widely adopted open source voice AI frameworks available today.

Financial terms of the deal were not disclosed by either party. However, both companies confirmed that the open source framework at the center of the transaction, known as Pipecat, will remain freely available to developers and the broader community going forward.

What Pipecat Brings to the Table

For those unfamiliar with the technology, Pipecat is an open source framework designed to coordinate voice and video streams alongside other components in an AI pipeline. These include speech-to-text engines, large language models, and text-to-speech systems, all while working to minimize latency across the board. Daily, the company that built and maintains Pipecat, also operates hosted infrastructure for voice and video communications across a wide range of use cases.

By bringing Pipecat into its portfolio, Deepgram stands to gain considerably deeper expertise in real-time voice and video infrastructure, an area that has become increasingly important as conversational AI applications grow in complexity and scale.

Funding Backgrounds and Shared Origins

Daily has accumulated more than $62 million in total funding from a roster of investors that includes Tiger Global, Highfield Capital, Nat Friedman, Lachy Groom, and Kevin Weil, according to data from PitchBook. Deepgram, for its part, achieved unicorn status earlier this year following a $130 million Series C funding round. Adding an interesting historical footnote to the deal, both companies participated in the same Y Combinator batch back in 2016.

How Pipecat Came to Be

Kwindla Kramer, co-founder of Daily, explained that the idea for Pipecat emerged around the time OpenAI released GPT-4. At that point, Daily began experimenting with AI-driven communication over both voice and text channels. Those experiments eventually coalesced into what became the Pipecat framework. Kramer noted that while there had been no shortage of acquisition interest from various parties, he was drawn to Deepgram CEO Scott Stephenson's firm commitment to keeping Pipecat open source indefinitely. He also cited a strong alignment between the engineering cultures of the two organizations, which he said would give Daily's team the flexibility to contribute across different layers of the stack within a larger company.

"Scott was super committed to Pipecat being open source and vendor-neutral forever. I think there is both a personal commitment and commercial driver there. If you sit in the middle of an ecosystem that's growing very fast, and have many parts of that ecosystem that are genuinely the best from your company, then everything being as open as possible is like a commercial advantage."

Deepgram's Open Source Ambitions

Stephenson said that Deepgram has long been interested in contributing to the open source space, and that the company identified an orchestration framework for AI agents as a natural area of focus. That recognition played a central role in the decision to move forward with the acquisition of Daily.

"We want to open up the ecosystem so everybody can build voice agents. It's great if you're using Deepgram models, but I want you to be using the best models for your use case. And if Deepgram notices that we have some ground to catch up on in a certain area for our own models and products, that's great. We want you to use partners, and then we'll also work on becoming better in those areas."

Stephenson also noted that the acquisition opens up new possibilities for developers building AI agents with greater expressiveness and end-to-end speech capabilities. The approach involves plugging in different models alongside a context bus that ties all components of the system together.

Beyond Voice: A Broader Vision

The deal also gives Deepgram a pathway to explore applications that extend beyond voice alone. Because Pipecat was built to handle real-time communication in multiple formats, its utility is not limited strictly to audio-based interactions.

Kramer was clear that Pipecat was never conceived as a narrowly focused voice tool. In his view, it was always intended to be the foundation for a new category of AI-native software, one where real-time interaction is a fundamental assumption rather than an afterthought.

"We never thought about Pipecat as a voice toolkit. We thought about it as the toolkit we needed to build this new kind of AI-native software. Because of where we came from, we just always assumed real-time."

A New Open Protocol for Voice Agents

Alongside the acquisition announcement, Deepgram is launching a new initiative called the Real-Time Context Standard, referred to as RCS. Developed jointly with the Pipecat team, RCS is an open protocol designed specifically for voice agents. The protocol establishes how metadata derived from audio signals - such as the tone or manner of speech, including something as subtle as a whisper - should be structured and interpreted. It also provides instructions to language models on how to respond to those signals, and offers guidance on how the resulting output should be delivered in terms of tone and delivery.

A Competitive and Active Market

The broader voice AI landscape has seen substantial investment activity on multiple fronts. On the model side, companies such as ElevenLabs, Gradium, and Fish Audio have each raised significant funding rounds in recent months. Meanwhile, infrastructure-focused players including LiveKit and Vapi have also secured multimillion-dollar investments this year, reflecting the growing demand for robust, scalable platforms that can support the next generation of voice-driven AI applications.