Deepgram, a leading voice AI platform, has signed a multi-year Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS) to accelerate the global adoption of generative voice AI. This partnership strengthens Deepgram’s integration with AWS services, enabling enterprises to build scalable, high-accuracy voice applications for diverse use cases, from contact centers to financial services. By leveraging AWS’s robust infrastructure, Deepgram empowers businesses to modernize operations and enhance customer experiences with cutting-edge speech-to-text (STT), text-to-speech (TTS), and speech-to-speech (STS) capabilities.
Deepgram and AWS sign multi-year SCA to advance generative voice AI.
Integration with AWS services like Amazon EKS, S3, and Bedrock enhances scalability.
Deepgram’s STT API boosts Amazon Connect with real-time transcription accuracy.
Fortune 20 healthcare firm uses Deepgram on AWS for faster customer support.
AWS Marketplace simplifies procurement with usage-based pricing and unified billing.
Deepgram to expand availability via Amazon SageMaker and Bedrock for AI deployment.
Deepgram’s platform is tightly integrated with AWS, enabling seamless deployment on Amazon EKS for container orchestration, Amazon S3 for secure data storage, and Amazon ECR for container management. Enterprises can also use Amazon API Gateway and AWS Lambda to orchestrate interactions with Deepgram’s voice AI APIs, including Amazon Bedrock-hosted models. This integration ensures compliance, data control, and scalability, whether deployed in customer-owned VPCs or as a fully managed SaaS solution. Deepgram’s Dedicated deployment and EU endpoints, running entirely on AWS, meet global data residency and security requirements.
The collaboration is already driving impact across industries. A Fortune 20 healthcare company leverages Deepgram’s speech models on AWS infrastructure to modernize contact center operations, delivering faster and more personalized customer support. Deepgram’s STT API, integrated with Amazon Connect, enables real-time transcription and voice automation, improving agent productivity and customer experience. “By deepening our collaboration with AWS, we’re enabling enterprises to move faster and with greater confidence as they build and modernize their voice applications,” said Scott Stephenson, CEO and co-founder of Deepgram.
Deepgram’s availability in AWS Marketplace streamlines procurement with usage-based pricing and unified billing, reducing operational complexities. “By leveraging Deepgram in AWS Marketplace, we avoided the need for direct licensing and self-provisioning, which helped us sidestep operational inefficiencies,” said Robby Grossman, VP of Engineering at Wistia. This approach allows enterprises to scale voice AI solutions efficiently while maintaining cost control, making it easier to deploy high-performance speech recognition.
“Enterprise customers have been clear about their need for voice AI that integrates seamlessly with their existing technology investments,” said Jon Jones, Vice President of AWS Startups and Venture Capital. “Our deepened collaboration with Deepgram means customers can deploy voice capabilities within their AWS environments.” Deepgram plans to further enhance its offerings through AWS services like Amazon SageMaker and Bedrock, focusing on new GenAI capabilities, case studies, and proof-of-concepts to support enterprise adoption.
The SCA between Deepgram and AWS marks a significant step toward making voice AI a cornerstone of enterprise operations. By combining Deepgram’s advanced STT, TTS, and STS capabilities with AWS’s scalable infrastructure, the partnership empowers businesses to build innovative, compliant, and efficient voice applications. As Deepgram continues to optimize its platform for the AWS ecosystem, enterprises can expect faster deployment, enhanced performance, and transformative customer experiences.
Deepgram is the leading voice AI platform for enterprise use cases, offering speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities–all powered by our enterprise-grade runtime. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through cloud APIs or as self-hosted / on-premises APIs – due to our unmatched accuracy, low latency, and pricing. Customers include technology ISVs building voice products or platforms, co-sell partners working with large enterprises, and enterprises solving internal use cases. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram.
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