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How the Butlr Platform Works

Overview

The Butlr platform transforms anonymous thermal sensing signals and integrated operational data into actionable occupancy, activity, and operational intelligence.

Using privacy-first Heaticâ„¢ sensors, cloud processing, connected operational systems, and intelligent applications, Butlr helps organizations understand how spaces are being used without relying on cameras or wearable devices.

Step 1 — Native Thermal Sensing

Heaticâ„¢ sensors detect low-resolution thermal signatures generated by people moving through physical spaces.

Unlike traditional camera systems:

  • No RGB imagery is captured
  • No facial recognition is used
  • No personally identifiable information is collected

The sensors instead interpret anonymous thermal activity patterns to understand:

  • Presence
  • Movement
  • Occupancy
  • Activity trends

Step 2 — Sensing Modes & Detection Workflows

Depending on deployment needs, Butlr supports different sensing and intelligence workflows.

Presence Mode

Presence Mode detects occupancy within a defined coverage area.

Common use cases:

  • Meeting rooms
  • Desks
  • Open collaboration spaces
  • Room-level occupancy

Traffic Mode

Traffic Mode estimates movement and directional flow across entrances or boundaries.

Common use cases:

  • Floor occupancy estimation
  • Building traffic analysis
  • Entry/exit monitoring
  • Public spaces

Care Intelligence

For care environments, Butlr may support additional activity and safety-focused workflows.

Common use cases:

  • Fall detection
  • Activity awareness
  • Mobility insights
  • Risk patterns

Supported capabilities may vary by hardware generation, deployment type, and application.

Step 3 — Hive Gateway Communication

Native Butlr sensors securely communicate with Hive gateways using wireless communication protocols.

Hive gateways:

  • Aggregate sensor data
  • Manage connectivity
  • Securely transmit data to the cloud
  • Support device provisioning and management

Depending on deployment requirements, Hive gateways may connect through:

  • Wi-Fi
  • Ethernet
  • Cellular connectivity

Parallel Input Path — Integrated Third-Party Sensors & Systems

In some deployments, the Butlr platform may also incorporate signals from select third-party devices, systems, or operational technologies.

Examples may include:

  • Third-party sensing devices
  • Environmental monitoring systems
  • Building Management Systems (BMS)
  • HVAC systems
  • Workplace technologies
  • Operational automation platforms

These third-party inputs may connect through their own vendor cloud, API, gateway, or direct integration path. They do not necessarily use Butlr Hive gateways.

These connected inputs can provide additional operational and environmental context alongside occupancy and activity intelligence generated by the Butlr platform.

Step 4 — Cloud Intelligence Processing

Once data reaches the Butlr cloud platform, Butlr services process sensing signals and connected operational inputs into structured intelligence.

Core processing services include:

  • Occupancy modeling
  • Traffic aggregation
  • Activity insights
  • Event processing
  • Data normalization
  • Alert workflows
  • Historical analytics

This intelligence layer powers applications, integrations, and connected operational workflows.

Step 5 — Applications, APIs & Integrations

Processed insights become available through Butlr applications, APIs, and integration services.

Outputs may include:

  • Workplace Intelligence
  • Butlr Care
  • Operational dashboards
  • Alerts and workflows
  • APIs and webhooks
  • Customer-owned applications
  • Third-party systems

Organizations can use this data to support:

  • Workplace optimization
  • Operational automation
  • Space planning
  • Fall detection
  • Safety monitoring
  • Building integrations
  • Custom analytics and workflows
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