Because much of the conversational data stems from voice and video recordings, Jiminny's product team knew they needed to find a reliable and accurate AI transcription partner to integrate into the Jiminny platform and to use as the foundation for additional AI-powered analytics tools.
Jiminny's product team also needed highly accurate real-time, or streaming, transcription to help users at the exact moment the conversations take place, as well as to provide speaker labels (also referred to as speaker diarization) that automatically differentiate between the distinct participants on a call or in a meeting.
The product team's search led them to AssemblyAI's simple API that exposes powerful AI models to transcribe and understand speech, including AI models for real-time and prerecorded transcription, speaker diarization, speech summarization, and more.
AssemblyAI's AI stack for spoken data is informed by the latest AI research and architectures, making it easier for product teams like Jiminny's to know their end users will always have access to the most accurate data available.