AI-Assisted Healthcare

AI that understands patient physiology.

Nefesh is the biometric context layer for AI.

The Problem

Digital healthcare systems operate without real-time physiological context.

Digital healthcare systems rely heavily on self-reported symptoms and delayed clinical measurements. Real-time physiological context is often missing, leaving AI-driven clinical tools to make decisions based on incomplete information.

Physiological Triage

Live biometric signals as clinical AI context.

Nefesh translates live biometric signals into machine-readable state data, allowing clinical AI systems to adapt responses and interventions in real time. The API integrates as middleware — zero patient-facing changes, immediate physiological context layer.

Routing Logic

Physiological triage, automated.

Every session evaluated in real time. Patients above critical thresholds reach a human before they have to ask.

Patient message received → Nefesh evaluates stress score
Score 0 – 39

AI continues session

Standard clinical support pathway. Full AI decision-making.

Score 40 – 74

AI + clinical alert

Care team notified in real time. Session continues with elevated monitoring.

Score 75+

Route to human clinician

Patient transferred immediately. No AI decision-making above this threshold.

Configurable thresholds per clinical context.