The Genseam Engine
The proprietary multi-layer stack that powers the Genseam ecosystem.
1. Bio-Sensors
Proprietary, non-invasive sensors (gait, sEMG) that capture high-resolution biological data with superior signal quality and noise reduction.
2. Data Platform
A scalable, secure, and compliant data infrastructure that processes and normalizes massive, multi-modal health datasets in real-time.
3. AI Engine
Machine learning models that identify novel patterns, correlate data streams, and generate the predictive insights unique to Genseam.
Informed by Current Research
Advanced Analysis of sEMG Signals from Wearable Devices
Investigating novel signal processing techniques for movement-based data capture.
Foundations of an AI-Driven Personal Health Coach
Exploring frameworks for translating complex sensor data into actionable, personalized user guidance.
Data-Driven Insights for General Wellness
Applying data analytics to sensor inputs for the development of proactive personal health insights.