What are spatial insights for CRE?
Spatial insights are measurements and patterns that reveal how people move through and use physical environments. In the CRE context, these insights inform decisions about leasing, facilities management, energy, cleaning, and workplace design.
- Occupancy — how many people are in a space at a given time.
- Utilization — proportion of time a space is actively used versus idle.
- Dwell time — how long people stay in a zone.
- Traffic flow — typical movement paths and peak transit times.
- Space turnover — frequency of transitions between uses in a space.
These metrics turn observational guesswork into repeatable, measurable intelligence that drives specific actions.
What is Butlr and how it works
Butlr is an AI-driven platform that combines thermal (heat-based) sensors with analytics to deliver anonymous occupancy and movement insights for buildings. Thermal sensing detects changes in heat signatures rather than capturing identifiable images, which preserves occupant privacy while enabling accurate people-counting and flow analysis.
Core components
- Sensors: Wireless and wired thermal sensors mounted in ceilings or other locations to detect heat patterns.
- Edge processing: Onboard preprocessing anonymizes signals and extracts occupancy events without capturing personal data.
- Cloud analytics: AI models aggregate sensor events into spatial metrics, detect patterns, and generate visual dashboards.
- Integrations: Data can feed into building management systems (BMS), room booking platforms, HVAC controls, and facility workflows.
Terms defined
- Anonymous heat-based sensing: A sensing method that detects thermal patterns from human presence without producing imagery or personally identifiable information.
- BMS (Building Management System): Software and hardware that monitor and control mechanical and electrical equipment in a building.
Key insights Butlr provides for better space utilization
Butlr translates raw sensor inputs into actionable CRE metrics. Important insights include:
- Real-time occupancy: Instant counts for rooms, floors, or zones.
- Peak and off-peak patterns: When spaces reach maximum or low usage.
- Space utilization rate: Percent of scheduled time a room is actually used.
- Booking vs. actual use: Instances where a space is reserved but unoccupied.
- Dwell and visit duration: Average length of stay per visit or per zone.
- Traffic heatmaps: Visual patterns of movement across a property.
- Capacity compliance: Monitoring for safety or regulatory occupancy limits.
- Cleaning and service optimization: Data-driven scheduling for custodial teams.
These insights help CRE teams move from reactive operations to proactive, evidence-based strategies.