How much can occupancy data reduce HVAC run time?
This global technology leader reports up to 40% lower HVAC run time by aligning ventilation schedules with actual floor-level occupancy.
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Powering Privacy-First Workplace Intelligence at a Global Technology Leader
Privacy-first workplace intelligence at a global technology leader
A Bay Area technology leader with more than 60,000 employees needed accurate occupancy data across dense, 24x7 global offices, and earlier tools fell short on accuracy, privacy, or cost. Butlr's anonymous, camera-free sensing now supports smart cleaning, HVAC scheduling, meeting space planning, and restacking decisions across cities and buildings.
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butlr
Case study
Powering Privacy-First Workplace Intelligence at a Global Technology Leader
Sense Everyone. See No One.The case study at a glance
Up to 40%
lower HVAC run time
1,200 hrs
of cleaning labor efficiency per year
15 to 30%
reduction in peak crowding
Inside the case study
- How occupancy data drives demand-based cleaning and HVAC
- How 24x7 offices plan around peak demand
- Why the team chose Butlr on accuracy, privacy, and total cost
Butlr has impressed us, and a wide range of partners and civic leaders, as a top innovator.
VP, Chief of Strategic Relationships, global technology leader
Common questions
How does occupancy sensing support cleaning teams?
Demand-based scheduling from Butlr data unlocks 1,200 hours of cleaning labor efficiency per year and saves up to 15,000 gallons of water annually.