EpiAnalytics, Inc., is the leader in business AI. Our real-time text and sentiment analysis powers the world’s leading brands by transforming unstructured data, customer and employee feedback, and voice recordings into valuable insight that is utilized across an organization to power business decision-making. 

Learn more about how we work with companies in a variety of industries below, what types of data sources we work with and read testimonials from our clients.

Case Studies

Employee Sentiment

Analyzing Employee Sentiment During a Global Pandemic

Learn how a leading U.S. global airline used EpiAnalytics TextBI to improve employee and customer experiences.


Automotive: Voice-To-Text Analytics

Reducing Missed Sales Opportunities with Voice-to-Text Analytics

Watch this video to find out how EpiAnalytics and CallRevu are working together to enable dealers to maximize appointments, optimize the sales and service experience, and quickly identify “at-risk” customers using voice-to-text analytics.


Higher Education: AI Solutions That Maximize Student Success

Using Artificial Intelligence and Machine Learning to Maximize Student Success

See how a top public university is using artificial intelligence (AI), natural language processing (NLP) and machine learning technology to improve its retention and graduation rates, by ensuring at-risk students receive the attention they need to achieve academic success.

EpiAnalytics Call Center Case Study

Contact Center Process Automation

Improving the Customer Experience through Text Analytics and Automation

Check out how one global organization is using text analytics and real-time automation to streamline its contact center’s email triage to reduce manual case reading and enhance routing, allowing its agents to focus more on customer care.

EpiAnalytics Retail Case Study

Community / Retail

Driving Better Bottom Lines through Employee Engagement

Read how one Fortune 50 company used EpiAnalytics TextBI and saved close to $800,000 in a matter of hours using text analytics to detect an issue that its employees reported through their online community platform.

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