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Butlr Thermal Occupancy Sensing

Anonymous people sensing with thermal precision

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How It Works

Butlr to AI in three steps

ButlrRaw Data SourceGN MCPNormalize + EnrichAES-256 + PseudonymizeAI Agents15 MCP Tools
The Problem

Cameras raise privacy concerns. WiFi is inaccurate. Butlr's thermal sensors provide precise headcounts without any personally identifiable data — but the insights stay locked in Butlr's dashboard.

The Solution
  • Thermal headcount sensing with desk-level granularity
  • Meeting room occupancy and booking validation
  • Anonymous by design — no faces, no MAC addresses
  • Building-wide aggregation via REST API
  • Integration with workplace tools for real-time alerts
Data Types

What You Get

Thermal headcountdesk occupancymeeting room usage
Analytics

What Butlr data looks like

Dashboard Preview

Built-in Visualizations

Live Occupancy
Zone Density
Visitor Trends
Conversion Path
Setup

Connect in under 5 minutes

Configuration

Butlr Config Schema

FieldTypeRequired
api_keystringrequired
building_idstringrequired
Use Cases

How teams use Butlr + GuestNetworks

Use Cases

Real-World Applications

C
coworking

Meeting room ghost booking detection

Identify booked-but-empty rooms and release them automatically.

C
coworking

Desk hoteling optimization

Track which desks are actually used vs. reserved.

Works great with

Related Integrations

Works Well With

Browse all People Counting integrations

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