We extract meaning from tough conversations and difficult audio.
We create immensely fast and accurate predictions.
We build models that perform intelligent reasoning in real time.
Extracting meaning from dialogue
Conversations are noisy, implicit, and hard to understand, but they contain a goldmine of information. We have developed a multitude of deep neural networks that listen directly to a sound stream and extract the most important features. The better the quality of these features, the better our prediction and reasoning frameworks are.
We create incredibly fast and accurate predictions by combining machine learning models that utilize advanced feature extraction capabilities. By applying convolutional and recurrent neural networks, we examine a larger contextual input from which our models train. This enables us to find even subtle correlations in data with high accuracy.