Deepgram
44 Case Studies
A Deepgram Case Study
Prem AI, a provider of a private sovereign AI ecosystem for regulated enterprises, faced the challenge of adding real-time voice capabilities to its platform without compromising its core promise of data privacy and sovereignty. They needed a speech-to-text solution that could operate entirely within their customers' trusted infrastructure and meet strict latency and accuracy requirements for European languages. Prem AI turned to vendor Deepgram to address this need.
Deepgram's solution involved self-hosting its Nova-3 speech-to-text model inside Prem AI's Trusted Execution Environments. This provided Prem AI's customers with low-latency, multilingual transcription that never leaves their sovereign infrastructure. The implementation delivered high accuracy, especially for EU languages and speaker diarization, and met sub-500ms latency targets for conversational agents. As a result, Prem AI can now offer voice as a first-class, sovereign capability, enabling regulated enterprises to build voice-enabled agents and workflows with complete data control.