Case Study: How Grain increased customer satisfaction by 12% after integrating AssemblyAI

Key results

The challenge

Grain is an AI notetaker serving a large base of customers on its platform. The company increasingly leverages large language models to help customers make sense of meeting data through identification, flagging, highlighting, clipping, and summarization, all of which depend on accurate underlying transcription.

The solution

Grain integrated AssemblyAI's speech-to-text and applied LLM-based features on top of the transcripts to improve its customers' productivity and satisfaction.

The results, in context

After integrating AssemblyAI, Grain saw its customer satisfaction increase by 12%, built on state-of-the-art transcription feeding its LLM-driven features.

Products used