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Machine Learning, emotional voice analytics and predictive modeling are converging to revolutionize how call centers enable their agents and interact with customers. Analyzing voice from each call…

Machine Learning, emotional voice analytics and predictive modeling are converging to revolutionize how call centers enable their agents and interact with customers. Analyzing voice from each call…
Core tech: Voice-based ML and emotional voice analytics for call centers
Primary use: Predict speaker intent to improve agent performance, reduce turnover costs, and boost cross-sales/collections
Founded: 2013 (per Dealroom)
Known funding signal: Seed round noted Jan 2020 with New York Angels (amount not disclosed)
Call center performance and customer interaction optimization using voice analytics and predictive modeling.
2013
Voice analytics / AI for contact centers
Dealroom lists a Jan 2020 seed round with New York Angels; amount not disclosed in available evidence.
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