Deepgram, a leader in real-time Voice AI, has teamed up with Amazon SageMaker AI. It provides streaming speech-to-text (STT) and text-to-speech (TTS). You can also access the Voice Agent API on SageMaker’s real-time endpoints. Now, teams can build, deploy, and scale voice-driven apps with ease. There’s no need for custom pipelines or complex setups. This integration ensures security, compliance, and operational consistency within AWS environments.
“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.
You can use Amazon SageMaker endpoints for native streaming. This lets you get clean, low-latency inference right through the SageMaker API. This feature is vital for important areas such as contact centers, trading operations, and live analytics. Here, fast processing and reliable performance are essential.
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The developers made the solution for AWS-native operations. It supports streaming with InvokeEndpointWithResponseStream, keeping all data secure within AWS. Organizations can use Deepgram in their Amazon Virtual Private Cloud (Amazon VPC) or as a fully managed service. This aligns with strict data governance, residency, and compliance needs.
“Enterprise developers need to build voice AI applications at scale without compromising on speed, accuracy, or security,” said Stephenson. “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 enhanced capabilities come from its strong partnership with AWS. The company is an AWS Generative AI Competency Partner. It has also signed a multi-year Strategic Collaboration Agreement (SCA) with AWS. This agreement helps businesses use advanced voice technologies faster.
“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. “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.”