Case Study: Dubber achieves scalable conversational AI with Temporal Cloud

Dubber, Temporal, and Conversational AI at Scale

Dubber, a conversation intelligence company, needed a more reliable and scalable way to orchestrate its growing AI workflows. As it expanded from compliance use cases into services like abuse detection, customer complaint analysis, sales interaction insights, and call summaries, the team needed better reliability, recoverability, observability, and multi-region support for sensitive call data.

Dubber chose Temporal Technologies and Temporal Cloud to run its end-to-end AI pipeline, including ingestion, transcription, summarization, and “Dubber Moments” extraction. Temporal Technologies helped Dubber deploy across eight regions, improve workflow recovery with built-in retries, and gain accurate, out-of-the-box observability into workflow state; the platform also supported faster scaling and stronger developer productivity as Dubber continued growing its AI business.

Dubber

Jacob du Plessis

Dubber