IBM & Deepgram Partner to Bring Advanced Voice AI to Enterprise Workflows
Deepgram’s industry-leading speech-to-text and text-to-speech technologies will be woven directly into watsonx Orchestrate.
IBM and Deepgram today announced a strategic collaboration to integrate Deepgram’s advanced voice capabilities into IBM’s watsonx Orchestrate generative AI platform, marking Deepgram as IBM’s first embedded voice partner for the solution.
“Voice is rapidly becoming the default interface between humans and technology, and enterprise deployments require a real-time platform that is accurate, low latency, and reliable at scale,” said Scott Stephenson, CEO and Co-Founder of Deepgram. “By embedding Deepgram inside watsonx Orchestrate Agent Builder, IBM clients can build voice agents and voice-enabled workflows on top of a real-time foundation that has been developed and refined over more than a decade.”
Under the partnership, Deepgram’s industry-leading speech-to-text and text-to-speech technologies will be woven directly into watsonx Orchestrate to help enterprises automate operations and enable richer conversational AI interactions.
The integration is designed to address real-world audio challenges — including background noise, diverse accents and natural dialogue — by supporting a broader range of languages and dialects, including many Arabic and Indian variants.
The combined solution also introduces options for custom tuning, real-time captioning and more natural-sounding voice outputs, expanding possibilities for customer service automation, call analysis, voice-driven data entry and other voice-enabled enterprise workflows.
“Our watsonx Orchestrate integration powered by Deepgram APIs introduces new speech recognition and transcription capabilities to IBM clients, refining and modernising their operations,” said Nick Holda, Vice President of AI Technology Partnerships at IBM. “This collaboration aims to help enterprise organizations accelerate their AI initiatives and reinforces IBM’s open ecosystem, bringing choice and cutting-edge voice technology to partners and customers.”
Voice interfaces are increasingly central to enterprise AI, and this collaboration positions both companies to meet rising demand for scalable, accurate voice-driven solutions.
