Emotion recognition for chatbots, user UIs, and for use in robotics

Marketing, Advertising and Public Relations

Tracking emotional trends as they respond to new products, concepts, and ideas.

Customer Service Aid

Aids communication operators to judge the emotion of users as they communicate.

Risk Assessment

Tracking emotional trends in an individual (or group’s) communication, for instance anger or sadness signals, or temporal changes in emotional communication.

Gaming and Simulation

Enable non-player characters to interact with users/players emotional states.

Therapeutic aid

Assistance in medical evaluations, questionnaires, and surveys. Tele-health initiatives would benefit.

Human Resources

Identify potential conflicts among team members.

Security and Fraud Protection

Reveal patterns of use of emotions in communication.

Stock/financial markets

V.E.R.N. could help track consumer emotional sentiment about a brand, product, company, and company leadership.


Pre-screen applicants. Analyze risk.

Poling and Opinion

V.E.R.N. could add emotional recognition to responses to poling, surveys, and focus groups.

Content moderation

Monitor and remove malignant or unwanted content. V.E.R.N. could assist in analyzing communication for flagging and removal.


V.E.R.N. could assist translation from different languages and different cultures.

VERN emotional recognition AI enables system understanding of human emotions.

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