Cognitive-Emotional Intelligence for AI Systems
Give AI applications a dynamic model of cognitive and emotional context.
Eden.AI's CEDM API provides a structured, evolving context layer that applications can use to make interactions more adaptive, coherent, and context-aware.
A Computational Model of Cognitive and Emotional Context
CEDM — Cognitive-Emotional Data Manipulation — is a structured API layer designed to model cognitive and emotional context throughout an interaction.
Rather than treating every exchange as stateless, CEDM maintains a dynamic context object that evolves as a conversation or session progresses.
This context can be accessed through a REST API, allowing AI applications to incorporate modeled cognitive and emotional signals without building that infrastructure themselves.
The result is an additional context layer that can help AI systems produce more adaptive and context-aware interactions.
/api/v1/health
Service health check.
/api/v1/chat
Submit a message and receive an AI response with the current CEDM context state.
/api/v1/state/{user_id}
Retrieve the current CEDM context object for a user.
/api/v1/reset/{user_id}
Reset the CEDM state for a user session.
/api/v1/export/{user_id}
Export the CEDM state history for a user.
"user_id": "demo-user",
"message": "I'm having a difficult day."
}
What CEDM Provides
Contextual State Modeling
Maintains an evolving computational model of cognitive and emotional context across an interaction, with state persistence available through the API.
Emotional Signal Processing
Processes interaction data into structured computational signals representing modeled emotional context.
API-First Integration
Designed as a composable REST API that can be integrated into existing AI application architectures.
Real-Time Adaptation
Updates the context model as interactions progress, allowing applications to respond to changes in modeled cognitive and emotional state.
From Prototype to Production
Eden.AI is currently developing and validating the CEDM framework, with a focus on API integration, contextual state modeling, and adaptive AI interactions. We're interested in connecting with technology partners, developers, and researchers interested in exploring the potential of cognitive-emotional context in AI.