Echo AI: predictive machine learning for autonomic and neural responses

Overview

Echo AI is an innovative machine learning pipeline developed by Vector Research Labs and hosted on Microsoft Azure. It is engineered to translate continuous physiological telemetry, such as heart rate variability (HRV), electrodermal activity (EDA), and electroencephalography (EEG), into predictive cognitive state mapping. Designed for zero-fail environments like defense and clinical healthcare, Echo AI extends beyond traditional biometrics by tracking autonomic drift. This platform captures implicit neurological load and dyadic entrainment—shared autonomic coherence between two individuals—offering deep insights into emotional responses and social bonding cues during product interactions.

Technical specifications

• Platform: Hosted on Microsoft Azure, capable of processing vast datasets
• Wearables: Edge-compute devices like Alpha Collar and Bravo Shirt capture high-fidelity HRV, EDA, and EEG data
• Functionalities: Decodes implicit neural and behavioral responses, mapping sensory pleasure, cognitive effort, and reward processing
• Unique Feature: Dyadic entrainment measurement, useful for understanding interactions like mother-infant bonding
• Output: Provides mathematical Coherence Scores linked to product value creation

Technology readiness level

Echo AI is at Technology Readiness Level 5, indicating that it has been validated in a relevant environment. The platform is integration-ready, with ongoing plans for further validation through a structured four-phase pilot engagement with potential partners like P&G.