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Platform

A Physical AI platformfor understanding human activity

One stack, four capabilities — designed to sense, process, understand, and act on what happens in real-world care environments.

Sense
Capture ambient signals
Process
Analyze signals locally
Understand
Interpret events and context
Act
Trigger alerts and workflows
Wi-Fi Sensing Edge AI Activity recognition Care intelligence
Physical AI

Digital AI reads documents.
Physical AI understands the world.

Most AI systems consume digital content — documents, images, code, or messages. Physical AI interprets signals from real-world environments to understand what is happening and support better decisions.

Digital AI

Reads documents

Works with digital content such as text, images, documents, and code.

TextImagesDocumentsCode
Physical AI

Interprets activity signals

Works with signals from physical environments to understand movement patterns, events, and context.

MovementPresenceEventsContext
Digital contentReal-world signals
Technology stack

A vertically integrated stack

From ambient Wi-Fi signals at the edge to care intelligence workflows — designed end to end.

Layer 05
Care intelligence
Alerts, dashboards, workflows.
Layer 04
Behavior analysis
Movement patterns, presence, anomalies.
Layer 03
Activity recognition
Cross-environment activity understanding.
Layer 02
Edge AI
Local processing on the device.
Layer 01
Wi-Fi Sensing layer
Motion signals from the environment.
SignalIntelligence
ADAPTIVE MODEL ARCHITECTURE

One architecture, many care environments

Zoe Care's model architecture is designed to adapt across rooms, layouts, and routines — learning context without relying on cameras or wearables.

Context adaptation

Calibrates to room layouts and daily routines.

Cross-environment learning

Designed to transfer patterns across different physical environments.

Deployment feedback

Configuration and performance improve through safe iteration over time.

Calibrate → Transfer → Improve
Privacy by design

Sense without watching

Detection happens at the edge. Only the minimum needed to act leaves the device.

  • Local processing
    Signal analysis runs on the device.
  • Event detection
    Only relevant events are flagged.
  • Minimal alert transmission
    Send what matters, nothing more.
  • Aggregated statistics
    Aggregated insights without resident identification.
Device
Signal capture + edge inference
Minimal event
Event metadata only
Care workflow
Alerts & analytics
Applications

Built for care today. Extensible by design.

Zoe Care starts with fall detection in residential care, then extends the same sensing and intelligence stack toward broader care and autonomy applications.

Today
Residential care

Fall detection and response workflows for care homes and assisted living.

Next
Independent living

Smart living and autonomy insights for aging in place.

Future
Hospitals

Activity-aware wards and patient monitoring workflows.

Longer term
Future environments

Rehabilitation, workplaces, and other real-world environments where activity intelligence creates value.

Platform vision

Toward Physical AI infrastructure

ZoeFall starts with fall detection and response workflows. The same stack can expand toward activity intelligence and broader Physical AI infrastructure over time.

Today
ZoeFall

Fall detection, real-time alerts, and response traceability.

Next
Activity intelligence

New insights from mobility, routines, and autonomy signals.

Long term
Physical AI infrastructure

A reusable sensing and intelligence layer for real-world care environments.

Build with the platform

Explore how Zoe Care's sensing and intelligence stack can support new care applications and partnerships.