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The voice AI sector is hot, and top players are trying to consolidate their position as more business models come to the fore through partnerships and acquisitions. Deepgram is the latest to make such moves: The company said on Thursday that it is acquiring Daily, the maker and maintainer of one of the most popular open-source voice AI infrastructures, Pipecat. The companies didn’t disclose the deal amount but said that they will keep Pipecat open-source. For the uninitiated, Pipecat is a framework that manages voice and video streams along with other pieces in the pipeline, like speech-to-text (STT), large language models, and text-to-speech (TTS) models while reducing latency. Its maker, Daily, provides hosted infrastructure for voice and video calls of any kind. With Pipecat, Deepgram will likely gain a deeper understanding of real-time voice and video infrastructure. Daily has raised over $62 million in funding to date from investors such as Tiger Global, Highfield Capital, Nat Friedman, Lachy Groom and Kevin Weil, according to PitchBook data. Earlier this year, Deepgram reached unicorn status witha $130 million Series C round. Incidentally, both companies were in the same Y Combinator batch in 2016. Kwindla Kramer, Daily’s co-founder, said around the time when GPT-4 came out, the company started experimenting with AI-to-human communication over voice and text, which eventually resulted in the Pipecat framework. He noted that while there has been a lot of acquisition interest, he favored Deepgram’s CEO Scott Stephenson’s commitment to keeping Pipecat open-source forever, and the engineering culture of both organizations matched, giving Daily’s team the freedom to work on different parts of the stack within a bigger organization. “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,” Kramer told TechCrunch. Stephenson said that Deepgram has been wanting to work in open source for a long time, and the company realized that an orchestration framework for agents was a potential area, which drove the decision to partner with 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,” he said. Stephenson said the acquisition lets developers build agents with expressivity and end-to-end speech systems by plugging in different models and a context bus that connects all parts. For Deepgram, the deal also lets it explore areas beyond voice through Pipecat, as the framework caters to real-time communication in different formats. “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,” Kramer said. Deepgram is also launching Real-Time Context Standard (RCS), an open protocol for voice agents that it co-developed with the Pipecat team. The protocol defines metadata like context from the audio, like a whisper, instructions for a language model on how it can use those signals, and guidance on how the response should sound. Voice AI has seen a lot of investment from both the model and the infrastructure sides. Model makers likeElevenLabs,Gradium, andFish Audiohave raised millions of dollars. On the other hand, infrastructure companies like LiveKit and Vapi have raised multi-million-dollar funding rounds this year.
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Legacy systems, fragmented data and infrastructure gaps could slow Indian enterprises as they move AI agents from pilots into production.
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Nemotron 3.5 Transcribe supports speaker attribution, speech translation and custom transcript formats. NVIDIA reports a 4.71% mean word error rate across nine English benchmark test sets.
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Industry leaders say the focus is moving from building increasingly capable models to enterprise readiness, governance, reliable execution and measurable returns.
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The company has launched Bivia, a multimodal decision model designed to help enterprise AI agents make domain-specific decisions and verify evidence across different data formats.
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Indian IT firms are taking over technology teams and specialist businesses. Integrating their workforces while protecting client relationships and margins presents a challenge.
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The company reported approximately $16.3 billion in revenue for the first half of 2026.
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The company will use AI to improve supplier intelligence and B2B sourcing as it expands its precision manufacturing capabilities.
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The company’s Prisma v3.0 supports nine Indian languages and English, with the company reporting lower transcription error rates than competing models on a multilingual benchmark.
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The company said that metrics that often grab attention, such as token usage, the number of AI tools used, code changes, the number of reviews, and more, are “deeply flawed”.
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Google is opening up its Connected Apps Platform in preview, giving developers a way to bring their apps to both Search and Gemini without building separate integrations for each. The company is also adding more third-party services, including Adobe, Calm and Peloton. These integrations will let users access tools across categories such as productivity, health, fitness and event ticketing. Google plans to open the platform to more developers and expand its availability to additional markets and products over the coming months.
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OpenAI introduced Dots last month as personal AI agents designed to work across projects and complete tasks. Until now, users could reach their Dots through ChatGPT, Slack and Microsoft Teams. Now, OpenAI has added a new feature that allows users to access its Dots AI agents through their phone's messaging app. OpenAI's Dot can send updates, photos, and voice notes, and it can also retain context from previous conversations. The feature is currently available as a preview to eligible ChatGPT Pro subscribers in the US.
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