
Meet Butlr
Discover what spatial intelligence can do for you.
Thank you! Your submission has been received!
Why downsizing can be a growth strategy
Downsizing is often framed purely as cost-cutting. Reframed as a growth strategy, it becomes about reallocating resources and optimizing operations to support innovation and scale.
- Free up capital: Lower lease and facility costs allow reinvestment in product development, sales, and talent.
- Increase agility: Leaner footprints are easier to adapt as business needs change.
- Improve experience per square foot: Focus on high-value spaces and amenities that attract talent and boost productivity.
- Reduce operational waste: Energy, cleaning, and maintenance budgets shrink alongside underused space.
All of this requires reliable insight into how people actually use space day-to-day—what seats are used, where collaboration happens, and when occupancy peaks.
What is privacy-first people sensing?
Privacy-first people sensing is a class of building technology that detects and analyzes human presence and movement without capturing personally identifiable visual information.
Key terms defined
- People sensing: Technology that detects occupancy, movement, and dwell times within physical spaces.
- Privacy-first: Design that prevents identification of individuals and minimizes collection of sensitive data.
- Spatial intelligence: Actionable analytics about how spaces are used, including occupancy trends, flow patterns, and utilization rates.
Butlr's platform uses thermal, camera-free sensors that detect heat signatures and movement while never producing video or identifiable images. Data is typically processed to produce aggregated insights rather than individual-level tracking, preserving privacy while enabling strategic decisions.
How accurate sensing turns downsizing into an informed bet
Good intentions aren’t enough to downsize successfully. The essential ingredients are accurate measurement, scenario modeling, and post-change monitoring.
- Baseline measurement: Continuous sensing reveals real occupancy patterns—desk utilization, meeting room usage, peak days and hours, and underutilized zones.
- Scenario modeling: With granular data, real estate and workplace teams can model different footprint scenarios and forecast impacts on capacity and employee experience.
- Pilot and iterate: Start with a floor or building pilot to validate assumptions before altering lease terms or major renovations.
- Continuous feedback: After changes, sensors monitor outcomes so teams can adjust policies, layouts, and services in real time.
These steps move downsizing from risky speculation to data-driven strategy.