AWS

Enterprise Voice AI, Native to AWS.

Real-time speech-to-text, text-to-speech, and voice agents that run inside your AWS stack: Amazon Connect, SageMaker, EC2, Bedrock and more.

For background on the partnership at scale, see AWS and Deepgram: The Foundation That Makes Voice AI Scale.

Deepgram purchases draw down on your existing AWS commit. Nova-3 STT, Aura-2 TTS, and the Voice Agent API are available through AWS Marketplace and AWS credits available for enterprise procurement.

Amazon Connect. Deepgram is a productized speech provider inside Amazon Connect contact flows. For contact center teams running Connect, Nova-3 replaces or augments Connect's native STT for live transcription, and voicebot use cases, with a 30% average WER improvement over alternative STT options. The integration also extends to Amazon Lex for IVR and virtual voice agents.

Amazon SageMaker. Deepgram STT and TTS are productized for SageMaker via dedicated Model Packages on AWS Marketplace, so customers can deploy real-time speech inference inside their own VPC. See Deployment options below for the SageMaker deployment path.

Amazon Bedrock. Deepgram's Voice Agent API integrates natively with Amazon Bedrock as the LLM layer, giving enterprises a single procurement and inference surface for both Deepgram speech models and the Bedrock-hosted LLMs (Claude, Titan, AI21) they pair with. Two integration paths are supported: native via the built-in aws_bedrock provider type, and a proxy-server option for advanced cases.

Managed API. Deepgram's hosted API consumed directly from any AWS workload. The fastest path for teams that want to start shipping today.

PrivateLink and VPC Endpoints. Managed Deepgram with no public-internet exposure. Audio routes from the customer's VPC to Deepgram's service endpoints over the AWS private backbone, suitable for security-conscious enterprises and regulated workloads.

Amazon SageMaker. Deepgram STT and TTS models deployed inside the customer's own VPC using SageMaker Model Packages. Subscribe to Deepgram in AWS Marketplace, stand up a SageMaker Endpoint, and tune environment variables for concurrency, interim results, and streaming behavior. The middle ground between fully-managed Deepgram and full self-hosted operations: the data plane stays in the customer's account, but SageMaker handles the deployment and scaling surface.

Self-hosted on AWS. For customers who need full control of the runtime, Deepgram's self-hosted models deploy on EC2, EKS, ECS, and across the G5, G6, and G6e instance families with production-grade operations. Each GPU instance can run many concurrent real-time streams. For regulated industries, this means a single AWS account becomes the home for the entire voice stack: contact center, healthcare workflows, media transcription, and voice agents.

If you are evaluating voice AI on AWS, the fastest path is the Marketplace listing. For enterprise terms, ISV Accelerate co-sell, or specific Connect, SageMaker, or Bedrock integrations, deepgram.com/contact-us is the direct route.

Procurement and partnership

• Deepgram Achieves AWS Generative AI Competency
• AWS and Deepgram: The Foundation That Makes Voice AI Scale
• How Enterprises Can Unlock Voice AI Through the Deepgram Partner Ecosystem
• AWS Marketplace listing

Amazon Connect + Lex

• Deepgram and AWS Amazon Connect Integration to Unlock Voice Data at Scale
• Deepgram Brings Best-in-Class Voice AI Models to Amazon Connect & Lex
• Amazon Connect and Deepgram (developer docs)

Amazon SageMaker

• Deepgram Brings Real-Time Speech Intelligence to Amazon SageMaker
• Deploy Deepgram on Amazon SageMaker (developer docs)
• Configure Amazon SageMaker Deployments (developer docs)
• Webinar: How to Deploy Real-Time Voice AI Within SageMaker

Amazon Bedrock

• Announcing Deepgram Voice Agent API Integration with AWS Bedrock
• Amazon Bedrock and Deepgram Voice Agent (developer docs)

AWS Lambda + serverless

• Deploy a Serverless Transcription Workflow with AWS Lambda + Deepgram STT
• AWS S3 Presigned URLs and Deepgram (developer docs)

Self-hosted on AWS

• Self-Hosted on AWS using Docker or Podman (developer docs)
• Deployment Environments (developer docs)

Demos, case studies, comparison

• Deepgram + AWS Voice AI Demo: Real-Time Medical Speech-to-Text in Action
• A Year of Voice AI at Scale
• Migrating From AWS Transcribe to Deepgram (developer docs)
• Compare Amazon Transcribe API Alternatives

Contact

• Deepgram documentation
• Contact Deepgram