Empower your leaders to make data-driven, impactful improvements in the call center. JourneyInsight helps you understand customer problems and which tools agents use. Read more
Is your call summarization strategy failing you? Learn from a large enterprise contact center’s mistakes. Read more
End-to-end architecture improves the scalability and performance of machine learning models for speech transcription to serve enterprise contact center needs better. Read more
Wav2vec could be more efficient, so we created our own pre-trained ASR Model for better Conversational AI.
Wav2vec 2.0 is arguably the most popular approach for using self-supervised training in speech, but it could be more efficient. We introduce SEW for better efficiency and performance. Read more
New ASAPP research introduces an orthogonal technique that augments existing data to train better out of scope detectors operating in low-data regimes. Read more