Buyer's guide
Measuring how space actually gets used, and feeding it back into design.
Hybrid work turned space utilization from a facilities curiosity into a board-level number, and made post-occupancy measurement the missing feedback loop in design. This category is the sensing and analytics layer: who uses what space, when, and what that means for the next lease, layout, or design decision.
The sensing approaches differ meaningfully on privacy: Density's radar and Butlr's body-heat sensors count people without cameras or identity; VergeSense blends sensors with badge and network data for portfolio-scale analytics. Saltmine closes the loop by connecting utilization data back into space planning.
Privacy-safe people-counting sensors and analytics that show how workplaces are actually used, feeding better space decisions.
AI-powered occupancy sensing and analytics used by 200+ enterprises to measure and optimize how their workplaces perform.
Body-heat sensors that measure occupancy and movement without cameras, powering space analytics while preserving privacy.
Experience Optimization for productivity and well-being
End-to-end workplace design platform: programming, algorithmic layout generation and design collaboration for corporate real estate.
Portfolio decisions first, measured utilization routinely peaks below 60% of planned, which drives consolidations and subleases worth far more than the sensors cost. Design second: real usage patterns replace assumptions in the next test fit.
Camera-based counting often is. Radar and thermal approaches are anonymous by physics (they detect presence and movement, not identity) which is why privacy-first sensing dominates new deployments.
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