Case Study: Jiminny achieves 15% higher win rates with AssemblyAI

How Jiminny builds with AI models to secure 15% higher win rates for customers

Jiminny, a leading conversation intelligence platform, needed to integrate highly accurate, real-time transcription with speaker identification into its product. The challenge was to process vast amounts of unanalyzed conversational data from sales and customer success teams to uncover strategic insights and boost revenue for their users. To build this foundation, Jiminny partnered with AssemblyAI.

By implementing AssemblyAI's API for real-time transcription and speaker diarization, Jiminny was able to power a suite of new AI analytics tools. This solution delivered significant results, including a 51% increase in customer satisfaction, a 26% improvement in agent performance, and a 15% higher win rate for its customers. The partnership with AssemblyAI provides ongoing support and access to new AI models, enabling Jiminny to continue innovating.

Jiminny

Tom Lavery

Chief Executive Officer and Founder