Replicating group interactions for opinion analysis
AI SENTIMENT ANALYSIS
A personality matrix-driven AI is used to simulate aggregate sentiment in social, economic, political, or cultural contexts paving the way for increasingly detailed analysis.
AI FOCUS GROUPS
Create viable opinions and responses based on varied personality matrices where group interactions are specifically designed to extract and synthesize information from both real and virtual participants, meeting both budget and deadline constraints.
Providing training for public facing agents
AGENT TESTING
Leverage agent-to-agent (a2a) deep conversational capabilities to train new agents during testing and product roll out by utilizing personality-matrix based agents to simulate real users interacting with bots.
Bringing education to life
DIGITAL TEXTBOOK TUTORS
Personality matrix imbued AI tutors are integrated into online textbooks with student-focused, one-on-one instruction, progress monitoring, and continual assessment reporting to teachers. Teachers can respond to feedback by customizing daily lesson plans for each student.
INTERACTIVE STORIES WITH AI CHARACTERS
Agentic personalities are folded into myriad genres where human participants can interact with one or more AI agents. Now under development is a custom story-based game wherein human and agentic participants engage in exciting plots and campaigns.
Human-realistic interaction results in more effective assistance
ASSISTIVE COMMUNITIES
Personality-matrix based AI assistants can more effectively interact with assistive or memory compromised individuals to better assist with activities of daily living.