Deepgram Teams With AWS on Voice AI Deployment

Voice AI platform for enterprise use cases, Deepgram, has announced a strategic collaboration agreement with AWS to accelerate the deployment of voice AI.

New agreement deepens existing relationship with AWS

The multi-year agreement will allow Deepgram to expand its co-selling and go-to-market efforts, integrate more deeply with AWS services, and enable enterprises to build scalable, high-accuracy voice applications for various use cases.

Deepgram already stands as a Generative AI Competency Partner and AWS Partner Network (APN) member, offering a voice AI platform that includes speech-to-text (STT), text-to-speech (TTS), and speech-to-speech (STS) capabilities. Further, Deepgram’s dedicated deployment and EU endpoints run on AWS infrastructure, allowing customers to meet global requirements for data residency, security, and compliance.

“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. “Whether it’s real-time transcription in financial services or voice AI agents in customer support, Deepgram infrastructure gives developers the tools to build accurate, scalable voice experience from the ground up.”

Deepgram’s infrastructure integration with AWS extends further, enabling customers to deploy its platform on Amazon EKS for scalable container orchestration, store data securely with Amazon S3, and manage containers using Amazon ECR. Furthermore, customers can utilize Amazon API Gateway and AWS Lambda to orchestrate interactions between Deepgram’s voice AI APIs and other services, such as Amazon Bedrock-hosted models and enterprise systems.

Streamlining AI without sacrificing compliance and efficiency

Deepgram provides the flexibility to maintain compliance, ensure data control, and operate efficiently at scale. Deepgram is also planning to expand its availability through AWS services, such as Amazon SageMaker and Amazon Bedrock, to streamline AI model deployment and orchestration. Deepgram’s STT API can also be integrated into Amazon Connect for enhanced STT speed and accuracy, enabling real-time transcription and voice automation within contact center environments.

“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. This integration simplifies procurement, deployment, and scaling, allowing enterprises to focus on creating differentiated experiences rather than managing complex infrastructure.”

Further, Deepgram will invest in developing GenAI-enabled capabilities on AWS and deliver new case studies and proofs of concept for enterprise customers, while continuing to optimize its models and services for the AWS ecosystem.

“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. “It allowed us to quickly implement a top-tier speech recognition solution with superior performance and usage-based pricing, making it easy to scale as needed while maintaining cost efficiency.”

Just a couple months ago, Deepgram launched its Voice Agent API solution, a single, unified voice-to-voice interface. Learn more about the solution and how it helps enterprises build real-time, voice-first AI agents at scale.