RankMiner
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 will enable call center agents to perform more effectively as well as give supervisors additional insights to better support their teams. RankMiner analyzes a person's voice, not the words used, but how they are spoken to reveal speaker intent and predict what that caller is likely to do. Clients use RankMiner to reduce the costs of employee turnover and increase revenues through cross-sales and collections.
RankMiner
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 will enable call center agents to perform more effectively as well as give supervisors additional insights to better support their teams. RankMiner analyzes a person's voice, not the words used, but how they are spoken to reveal speaker intent and predict what that caller is likely to do. Clients use RankMiner to reduce the costs of employee turnover and increase revenues through cross-sales and collections.
TL;DR
What they do: Voice analytics and predictive modeling for call centers focusing on emotion and speaker intent (analyzes how voice is spoken, not words)
Primary use cases: Reduce employee turnover costs; increase revenues via cross-sales and collections
Funding: No verifiable external funding found on permitted sources
Website access: Direct access to rankminer.com failed during data collection
Company Overview
Problem Domain
Call center performance, customer interactions, employee turnover, revenue optimization via predictive voice analytics
Industry
Voice analytics / Call center analytics
Funding Track Record
Total Funding: 0.00 USD