Think of this as a smart reader that goes through thousands of customer reviews and tells you not just if people are happy or angry, but why — for example, that people love the taste but hate the delivery time.
Manual review of customer feedback is slow, inconsistent, and doesn’t scale. This tool automatically classifies sentiment in reviews at volume so product and CX teams can see what customers really feel in near real time.
Quality and volume of labeled review data plus integration into existing customer feedback and analytics workflows
Classical-ML (Scikit/XGBoost)
Structured SQL
Medium (Integration logic)
Labeling and maintaining high-quality training data for evolving products, channels, and languages
Early Majority
Positions itself as going beyond simple positive/negative labels to capture nuanced sentiment and aspects within reviews, which is more useful for product and CX decisions than generic off-the-shelf sentiment scores.