Scientific Foundation
MEVA is grounded in the Circumplex Model of Affect — the most widely validated framework in affective science — and the Honest Signals research conducted at MIT's Media Lab, which proved that the nonverbal dimensions of human interaction predict outcomes with the same accuracy as expert human judgment.
Multi-Modal Inference Engine — Valence · Arousal · Dissonance Framework
The Circumplex Model of Affect has been continuously validated since Russell (1980), with over 50,000 peer-reviewed publications.
Arena & Pentland (MIT Media Lab, 2010) demonstrated that nonverbal signals predict outcomes with expert-level accuracy. Standard assessments capture none of it.
MEVA fuses verbal, acoustic, and visual signals simultaneously by detecting dissonance between what a person says and what their physiology reveals.
LLM analysis of linguistic patterns, word choice, and narrative construction. What a person says and how they construct meaning in language.
Vocal prosody analysis capturing tone, cadence, pitch, and tremor. The physiological truth beneath the spoken word.
Computer vision detecting micro-expressions and behavioral markers in the face and body. Signals that emerge under real conditions.