Deepgram Launches Streaming Speech, Text, and Voice Agents on Amazon SageMaker AI, Integrates with Amazon Connect

Deepgram, a voice artificial intelligence platform provider, has integrated its technology with Amazon SageMaker AI, delivering streaming, real-time speech-to-text (STT), text-to-speech (TTS), and the Voice Agent API as Amazon SageMaker AI real-time endpoints, and with Amazon Connect, Amazon Web Services' cloud contact center platform, and Amazon Lex, enabling real-time transcription, low-latency voice bots, and analytics within existing AWS environments.

Native streaming via Amazon SageMaker endpoints enables sub-second latency and enterprise-grade reliability for high-scale use cases like contact centers, trading floors, and live analytics. Built to run on AWS, the solution supports streaming responses via InvokeEndpointWithResponseStream and keeps data within AWS. Customers can deploy Deepgram in their Amazon Virtual Private Cloud (Amazon VPC) or as a managed service, aligning with stringent data residency and compliance requirements.

"Deepgram's integration with Amazon SageMaker represents an important step forward for real-time voice AI. By bringing our streaming speech models directly into SageMaker, enterprises can deploy speech-to-text, text-to-speech, and voice agent capabilities with sub-second latency, all within their AWS environment. This collaboration extends SageMaker's functionality and gives developers a powerful way to build and scale voice-driven applications securely and efficiently," said Scott Stephenson, CEO and Co-Founder, Deepgram.

"Enterprise developers need to build voice AI applications at scale without compromising on speed, accuracy, or security," Stephenson added. "Our native integration with Amazon SageMaker removes the complexity from deploying real-time voice capabilities, allowing AWS customers to focus on innovation rather than infrastructure. By bringing our state-of-the-art speech models directly into the AWS environment where companies already operate, we're making it dramatically easier for organizations to create voice experiences that truly transform how they engage with customers and analyze conversations at scale."

"Deepgram's new Amazon SageMaker AI integration makes it simple for customers to bring real-time voice capabilities into their AWS workflows," said Ankur Mehrotra, general manager for Amazon SageMaker at AWS, in a statement. "By offering streaming speech-to-text and text-to-speech directly through Amazon SageMaker endpoints, Deepgram helps developers accelerate innovation while maintaining data security and compliance on AWS. This integration is a great example of how Deepgram is expanding its market reach by making generative AI more accessible and powerful through AWS services, while enabling our mutual customers to build sophisticated voice applications."

With the Connect and Lex integrations, teams can use Deepgram’s models natively in Amazon Lex for natural conversational experiences and pair them with Amazon Connect to unlock real-time transcription, quality monitoring, and automation without heavy custom engineering for customer experience scenarios.

Real-time transcription and analytics in Amazon Connect enable live coaching, compliance monitoring, and automated workflows built on a documented integration pattern. Native STT and TTS support in Amazon Lex deliver ultra-low latency, natural-sounding voice experiences and accurate understanding in noisy, high-variance environments. The integration fits seamlessly into existing AWS operations, allowing customers to deploy inside their AWS environment, keep data within AWS, and streamline procurement through AWS Marketplace.

"Our work with Amazon Connect expands what’s possible for contact centers and enterprise voice applications on AWS. Together we are enabling customers to achieve higher accuracy, lower latency, and greater deployment flexibility with Deepgram’s advanced speech technology, all seamlessly integrated within AWS," Stephenson said.

"At AWS, we're continuously innovating to help businesses create exceptional customer experiences," said Pasquale DeMaio, vice president of Amazon Connect at AWS, in a statement. "Integrating Deepgram's advanced speech technology with Amazon Connect enables organizations to build voice interactions that understand context and respond with appropriate pace and tone, transforming automated interactions into opportunities for deeper customer relationships."

These integrations are also backed by a strong relationship with AWS. Deepgram is an AWS Generative AI Competency Partner and has signed a multi-year strategic collaboration agreement with AWS to accelerate enterprise adoption.