Empath

Empath is an AI driven emotion conversation intelligence that analyzes the quality and emotion of verbal conversations from audio files. We utilize machine learning to estimate emotions based on features such as voice speed, intonation, and tone, rather than the semantic content of words. It also visualizes the quality of the conversation, such as the ratio of speech between the speakers and the differences in speaking speed.

Web Empath API / SDK

Empath API is a vocal emotion analysis API that has been used by more than 2,000 companies in 50 countries around the world. It is used to determine emotions and moods based on speech patterns. Easy deployment is possible by simply embedding the sample code in any website. You can also deploy Empath API on any popular platforms such as Linux, Windows, iOS, and Android OS, by utilizing a program to forward any WAVE files to the Empath API URL. It can also be used as a hassle free sensor for M2M and IoT. Please refer to the link below for the platform agnostic Embedded Development Kit of Empath SDK.

Beluga Box

Beluga Box is an emotion conversation intelligence engine for call centers. Beluga Box is a REST API that receives call data stored in our clients' servers and outputs analysis results by quantifying (1) customer satisfaction, (2) emotions, and (3) audio characteristics (speech/talk rate and speech/ talk style). The system is used to improve customer satisfaction, operator care, and response quality in customer service centers.

Emo Daruma

Beluga Box is an emotion conversation intelligence engine for call centers. Beluga Box is a REST API that receives call data stored in our clients' servers and outputs analysis results by quantifying (1) customer satisfaction, (2) emotions, and (3) audio characteristics (speech/talk rate and speech/ talk style). The system is used to improve customer satisfaction, operator care, and response quality in customer service centers.

Emo Value Generator

Emo Value Generator (EVG) is an in-house emotion and audio analysis application for Windows. It instantly analyzes a large quantity of voice data and reveals customer satisfaction levels from emotion and speech analysis. It can also be linked to a variety of NLP (natural language processing) solutions to combine the results of text and speech emotion analysis for more robust assessment of customer satisfaction levels. Furthermore, by adding new parameters to our machine learning models, we can cater the product to our clients' specific needs.

Products