Wearables & Health Platforms

Turning wearable data streams into actionable AI context.

API middleware that translates wearable sensor streams into actionable AI context in real time.

The Problem

Wearable data sits in dashboards, disconnected from AI decision-making.

Hundreds of millions of wearable devices collect continuous biometric data. But this data flows into fitness dashboards and health summaries — not into the AI systems making real-time decisions about user experience, health interventions, or adaptive behavior.

The Data Bridge

Bridging the gap between wearable sensors and AI systems.

Nefesh translates live biometric streams from Polar H10, Garmin, and Apple Watch (coming soon) into structured state data (Calm, Relaxed, Focused, Stressed, Acute Stress) delivered via a single API endpoint. Any AI system can consume this context to adapt its behavior in real time.

Any device that reads the body works with Nefesh.

Nefesh is hardware agnostic. Connect a medical chest strap, a consumer smartwatch, a browser webcam, a glucose monitor, an EEG headband, or your own custom sensor. There is no vendor lock-in and no SDK to install. Your device sends data, Nefesh fuses it into a unified state.

Data Flow

From sensor to state in under 48ms.

Raw biometric streams become structured, machine-readable state data through a single API endpoint.

Polar H10

HR + HRV

Garmin

HR + Activity

Pixel Watch

HR continuous

rPPG Camera

Facial blood flow

Apple Watch

HR + HRV

soon
State Engine

/v1/ingest

API Response
{
  "state": "focused",
  "stress_score": 45,
  "confidence": 0.87,
  "signals_fused": 3
}
Calm
Relaxed
Focused
Stressed
Acute

<48ms

end-to-end

<0.5kB

per request

Encrypted

in transit

Edge only

no raw data sent

Start integrating today.

1,000 API calls free. No credit card. Scale to 50,000 for $25/month.

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