How Uniphore Leverages DataStax Astra DB for Real-Time, Multi-Modal Sentiment Analysis

Uniphore, an AI-based company, uses its multi-modal emotion AI platform to improve sales and customer service conversations by analyzing tone, facial expressions, and words. The company targets various enterprise functions where human conversations are important, such as sales and customer support. Uniphore's technology is based on the Ekman model of six basic emotions: fear, anger, disgust, happiness, sadness, and surprise. They analyze multi-modal inputs to help employees understand if they are projecting empathy, politeness, and confidence during conversations with customers. The company chose DataStax for a managed database-as-a-service built on Apache Cassandra® due to its ability to handle large volumes of data and provide real-time analysis. Uniphore's products include "Read the Room," which provides sentiment data in real-time during meetings, and post-call analysis that helps users understand critical moments and emotion dips. The company has seen significant benefits from using DataStax Astra DB, including improved developer productivity, reduced costs, and increased stability.