Core Insights - Deepgram has launched a native integration with Amazon SageMaker AI, enabling real-time speech-to-text (STT), text-to-speech (TTS), and voice agent capabilities with sub-second latency [1][2][5] Integration and Functionality - The integration allows enterprises to deploy voice-powered applications directly within their existing AWS workflows without the need for custom pipelines or orchestration [1][3] - It supports high-scale use cases such as contact centers, trading floors, and live analytics, ensuring enterprise-grade reliability [3][4] Security and Compliance - The solution is designed to run on AWS, keeping data within the AWS environment and aligning with stringent data residency and compliance requirements [4][6] - Customers can deploy Deepgram in their Amazon Virtual Private Cloud (Amazon VPC) or as a managed service [4] Developer Experience - The integration simplifies the process for enterprise developers to build voice AI applications at scale, focusing on innovation rather than infrastructure [5][6] - Deepgram's streaming speech models enhance the functionality of Amazon SageMaker, providing developers with powerful tools to create sophisticated voice applications [2][6] Strategic Collaboration - Deepgram is recognized as an AWS Generative AI Competency Partner and has signed a multi-year Strategic Collaboration Agreement (SCA) with AWS to accelerate enterprise adoption [5][6] - Live demonstrations of the integration are planned at AWS re:Invent in Las Vegas, showcasing its capabilities [7]