Behavioral intelligence platform that transforms user interactions into psychological insights.
Applications treat all users the same, ignoring individual psychology, learning styles, and preferences. This leads to poor user experiences and missed opportunities for personalization and optimization.
While building Teneo and ConversOS, I realized that understanding user psychology was critical for delivering personalized experiences at scale.
Real-time psychological profiling that analyzes user interactions to build comprehensive behavioral intelligence profiles. Enables applications to adapt dynamically to individual user psychology and preferences.
Continuous analysis of user interactions to build evolving psychological profiles.
Generate synthetic user personas for testing and optimization without real user data.
Machine learning models for interaction pattern recognition and psychological classification
APIs for UniversalRAG, ConversOS, and other platforms requiring user understanding
Privacy-first architecture with encrypted profiles and user control
Psychology-aware document retrieval
Personalized conversation experiences
User-adapted content generation