Deepgram, the world’s most realistic and real-time Voice AI platform, has announced the integration of its enterprise-grade speech-to-text (STT) and text-to-speech (TTS) models with Amazon Connect and Amazon Lex, enabling enterprises to deploy real-time transcription, low-latency voice bots, and advanced analytics directly within their existing AWS environments. The integration allows teams to use Deepgram’s models natively in Amazon Lex to power natural conversational experiences and combine them with Amazon Connect to support real-time transcription, quality monitoring, and automation-all without extensive custom engineering. “Our work with Amazon Connect expands what’s possible for contact centers and enterprise voice applications on AWS. Together we are enabling customers to achieve higher accuracy, lower latency, and greater deployment flexibility with Deepgram’s advanced speech technology, all seamlessly integrated within AWS,” said Scott Stephenson, CEO and Co-Founder, Deepgram.
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The collaboration adds important features. These include live coaching, compliance monitoring, and automated workflows in Amazon Connect. Amazon Lex provides ultra-low latency and natural voice interactions, even in noisy environments. Customers can deploy fully on AWS. They can keep data residency and simplify purchases using AWS Marketplace. “Integrating Deepgram’s advanced speech technology with Amazon Connect enables organizations to build voice interactions that understand context and respond with appropriate pace and tone,” added Pasquale DeMaio, VP of Amazon Connect at AWS.