teX.ai
8 Case Studies
A teX.ai Case Study
The customer, a leading platform provider in healthcare, sought to reduce the manual data entry burden on physicians by automating the transcription of patient conversations. Their key challenges involved developing a system that could accurately understand diverse accents and filter out non-medical background noise from the audio recordings. They partnered with the vendor, teX.ai, to address these needs.
teX.ai implemented a solution using a pre-trained Voice to Text conversion NLU engine and neural network models like RNN and LSTM. This system processed audio files, provided timeline-based transcripts, and automatically stored the outputs. The solution reduced human intervention by 60% and cut the time to create transcripts by 40%, all while achieving an accuracy rate of 80% for the client.
Leading Platform Provider