
Genie turns a brief facial video into clinically relevant physiological estimates using a transparent, layered pipeline.
A standard RGB camera records a short facial video.
Computer vision and camera-based optical signal analysis detect subtle changes in facial color, motion, and light reflection patterns.
Signal quality gating and AI produce confidence-qualified physiological estimates.
Transparent, auditable, and responsible — designed to support, not supplant, clinician judgment.
Genie's current and investigational measurement capabilities span core vital signs and emerging physiological research pathways. Regulatory status and availability vary by jurisdiction and deployment context.
Estimated from facial video using camera-based optical signal extraction and AI-based analysis.
Derived from subtle motion and signal patterns detected in short facial video sequences.
An estimation pathway under active development and clinical validation.
Oxygen saturation estimation from camera-based optical signal analysis, subject to validation and deployment context.
SGAI HealthLink has demonstrated strong lactate-estimation performance in ambulatory patients who can sit for a brief camera-based check-in. We are now expanding validation into higher-acuity hospital settings, including ICU and inpatient populations for sepsis-related tracking, deterioration monitoring, and treatment-response assessment.
Lactate-related capabilities are subject to clinical validation, deployment context, and regulatory clearance requirements before broader clinical use.
SGAI HealthLink has demonstrated glucose-estimation capabilities in healthy individuals under fasting and pre-meal conditions. We are now expanding validation toward very low and very high glucose ranges, and future 24/7 use cases.
Glucose-related capabilities remain subject to expanded clinical validation, intended use, deployment context, and regulatory clearance requirements.