Case Study: Jobcase achieves faster, more natural voice calls with Deepgram Aura-2

Jobcase reduces TTS latency and scales faster voice calls with Deepgram

Jobcase helps millions of members find jobs and move forward in their careers. As the company expanded its use of AI voice agents, it faced a challenge in making these automated interactions feel intuitive and trustworthy by eliminating robotic voices and awkward latency, especially in the crucial first moments of a call. To solve this, Jobcase turned to the vendor Deepgram and its Aura-2 text-to-speech capabilities.

Deepgram implemented its Aura-2 text-to-speech to power Jobcase's AI-driven inbound and outbound calls. The solution provided a more fluent and natural voice experience, significantly reduced latency for faster responses, and offered greater scalability for higher call throughput. Jobcase found Deepgram delivered the best overall tradeoff of quality, cost, and initial latency compared to other providers, leading to a clearer improvement in user engagement and confidence in their ability to scale with an on-prem deployment path.

Jobcase