IBM is looking to change that by making Deepgram its first-ever voice partner, embedding the startup’s high-speed speech-to-text (STT) and text-to-speech (TTS) tech directly into watsonx Orchestrate.

This isn’t just a minor plugin; it’s a foundational upgrade for IBM’s generative AI solution. By integrating Deepgram, IBM is giving its enterprise clients the ability to build voice agents that actually understand natural human speech, accents, background noise, and all.

The Natural Speech Problem

Most legacy speech-to-text systems crumble when faced with a busy hospital ward, a noisy call center, or a regional accent. Deepgram’s play is its ability to handle real-world audio conditions across a massive range of languages, including dozens of Arabic and Indian dialects.

What this means for the suit-and-tie crowd:

• Low Latency: Voice agents that respond in real-time, not after a five-second thinking
• Custom Tuning: Enterprises can train the AI to understand industry-specific jargon in healthcare or finance.
• Sovereign Dialects: Support for regional accents that global tech giants often ignore.

A First for Big Blue

Being IBM’s first voice partner is a massive street cred boost for Deepgram. For IBM, it’s a move toward an open ecosystem strategy, acknowledging that while they built the brain (watsonx), they’re happy to let a specialist build the ears and the mouth.

“Voice is rapidly becoming the default interface between humans and technology,” said Scott Stephenson, CEO and Co-Founder of Deepgram. “IBM clients can now build voice agents on a real-time foundation that has been refined over a decade.”

Techeconomy’s take is that for years, Voice AI was synonymous with Siri or Alexa, fun for setting timers, but too unreliable for serious business workflows. This partnership signals that the enterprise voice interface has finally grown up.

By embedding Deepgram into the watsonx Orchestrate Agent Builder, IBM is telling its clients: Don’t just type to your AI; talk to it.

In sectors like healthcare, where hands-free data entry can save lives, and finance, where call analysis is a goldmine, this integration is less of a luxury and more of a requirement for the 2026 AI stack.

For Deepgram, hitching a ride on IBM’s enterprise reach is a masterstroke in distribution. For IBM, it’s a necessary step to ensure watsonx doesn’t just think well, but communicates better.

This makes Deepgram IBM’s first voice partner, providing real-time transcription and voice features for enterprise clients.

The integration is designed to improve how companies handle complex audio environments, including background noise, accents, and natural conversation.

It also supports a wide range of languages and regional dialects, including multiple Arabic and Indian variants. Users will gain access to real-time captioning, natural-sounding voices, and options for custom tuning.

These tools can be applied across sectors such as healthcare and finance, supporting automated customer care, call analysis, and voice-driven data entry.

Scott Stephenson, Deepgram CEO and co-founder, said, “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. 

“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.”

Nick Holda, vice president of AI Technology Partnerships at IBM, added, “Our watsonx Orchestrate integration powered by Deepgram APIs introduces new speech recognition and transcription capabilities to IBM clients, refining and modernizing their operations. 

“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.”

The partnership is expected to strengthen IBM’s ability to provide flexible voice solutions to enterprise clients while expanding Deepgram’s reach to new customers through a trusted platform.

Deepgram provides real-time speech-to-text, text-to-speech, and full speech-to-speech features through cloud or on-premises APIs.

It has processed over 50,000 years of audio and transcribed more than one trillion words. IBM, on the other hand, provides hybrid cloud, AI, and consulting solutions to clients in over 175 countries.

The designation comes after a demanding evaluation that required Deepgram to demonstrate technical strength, verified customer success, and real-world deployments. This acknowledgement reveals that its voice technologies are powerful, secure and production-ready.

Abe Pursell, vice president of Business Development and Partnerships at Deepgram, explained the importance of the achievement. “Generative AI is one of the most transformative technologies of our time — but in order for enterprises to adopt it with confidence, they need proof it works at scale and integrates seamlessly into their existing stack. This recognition from AWS gives our customers exactly that peace of mind. It shows Deepgram’s voice AI solutions have already been tested, vetted, and proven in the real world.”

For customers, the benefit isn’t limited to trust. The partnership brings closer alignment with AWS services such as Amazon Bedrock, Amazon Connect, and Amazon SageMaker. It also enables enterprises to take advantage of AWS Marketplace access, Private Pricing Agreements (PPAs), and AWS credits, factors that can reduce costs and boost deployment.

According to Pursell, “For customers, collaborating with an AWS Generative AI Competency provider like Deepgram translates into faster time-to-value, reduced total cost of ownership (TCO), and peace of mind that their investment is future-proofed within the AWS GenAI ecosystem.”

The AWS Competency Programme is designed to help organisations identify partners with proven expertise in using AWS tools and infrastructure to build and integrate generative AI solutions. 

For Deepgram, it represents an endorsement of years spent refining voice-native models capable of handling speech-to-text, text-to-speech, and speech-to-speech tasks with speed and accuracy.

With more than 200,000 developers building on its platform, and over a trillion words already transcribed, the company has built solutions highly essential in the voice AI market. Including startups and global enterprises, Deepgram’s services now stand on even stronger ground within AWS’s growing generative AI space.