Case Study: CallRail achieves faster, more accurate conversation intelligence with AssemblyAI

A AssemblyAI Case Study

Preview of the CallRail Case Study

How CallRail doubled its Conversation Intelligence customers by building with a trusted AI partner

CallRail, a lead intelligence software company, sought to help its customers extract faster, more efficient insights from their call data. To enhance its AI-powered platform, CallRail needed a secure and scalable AI stack for spoken data to build new features more quickly. This led them to partner with AssemblyAI.

By leveraging AssemblyAI's speech-to-text and conversational AI models, including its Conversational Summarization model, CallRail built powerful conversation intelligence features. These features automatically categorize calls, generate summaries, and analyze sentiment. The solution resulted in a 23% improvement in call transcription accuracy and a 2x increase in customers for its conversation intelligence product. AssemblyAI's technology also enabled CallRail's end-users to spend 50% less time reviewing and analyzing calls.


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CallRail

Ryan Johnson

Chief Product Officer


AssemblyAI

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