E-PAPS

AI Well-Aging Company

AI

Integrating Vision, Sound, and Text

Deep Tech Multimodal AI

A single AI model cannot deliver the full spectrum of healthcare services needed for well-aging. Complexion provides differentiated multimodal content specialized for well-aging, powered by proprietary AI models validated through SCI-level publications and certified test results.

COMPLEXION x Multimodal AI

Multimodal AI Diagram

VISION

Analyzes user behavior patterns and posture through computer vision AI

VISION

SOUND

Identifies and classifies symptoms by analyzing voice characteristics with AI

SOUND

TEXT

Converts passive and conversational data into text to standardize health indicators

TEXT

COMPLEXION's Multimodal AI

Complexion's multimodal AI model integrates Vision, Sound, and Text (LLM) analysisto generate personalized feedback precisely tailored to each user's condition and goals.Notably, it has achieved 2.79x higher user preference compared to single-modal AI.

Multimodal AI Architecture
SeniorFit AI Program
Multimodal AI Architecture

User Experience and Functionality Validated Through Joint Research

Complexion's AI technology has been validated through 8+ formal industry-academia joint research projects to ensure not only functional accuracy but also user experience excellence.

산학 콜라보레이션

SCI-Level Paper 1

Improved recognition of physical disabilities from approximately 70% to 90%, a 20%p increase using generative AI techniques.

SCI 1

SCI-Level Paper 2

Achieved up to +22.97%p improvement in facial recognition accuracy (96.2% accuracy) even in extreme conditions with blurred, broken, or heavily noisy images where faces are barely identifiable.

SCI 2