To capture this opportunity, EdgeTier needed a reliable partner for speech-to-text conversion. "We needed a partner who could accurately transcribe calls of varying quality across multiple languages and accents," says Lynn. "That's where AssemblyAI came in."
The selection of AssemblyAI as their speech-to-text provider was strategic and fundamental to EdgeTier's entire platform architecture.
The transcript quality is critical, both for user perception and our AI models. Once you lose trust in transcript accuracy, you erode trust in the product. For text classification, phrase detection, and agent evaluation, the language has to be correct - otherwise, the whole system falls apart.
Dr. Shane Lynn
CEO, EdgeTier
This emphasis on transcription accuracy is crucial because AssemblyAI's output serves as the foundation for all of EdgeTier's conversation intelligence capabilities. The transcribed text becomes the source of truth that feeds into their suite of AI models and large language models (LLMs). These models perform sophisticated tasks like topic classification, sentiment analysis, and agent performance evaluation. The quality of these downstream analyses depends entirely on the accuracy of the initial transcription - much like a building requires a solid foundation. With AssemblyAI's highly accurate transcripts, EdgeTier's AI models can reliably identify customer issues, analyze agent responses, and extract actionable insights that drive business value.