

Lambent Spaces is a SaaS platform for space planning and occupancy analytics. It uses machine learning and existing Wi-Fi infrastructure to estimate how buildings, floors, and rooms are used, providing an alternative to manual counts or surveys.
The software is designed for corporate real estate managers and higher education facility leads who manage large portfolios. It helps these users identify underutilized areas and compare actual space usage against planned reservations.
Because the tool integrates with Wi-Fi vendors, it may help organizations begin collecting data without the need for new hardware installations. Buyers should confirm that while Wi-Fi provides broad trends, additional sensor hardware may be required for precise, desk-level data.
Users can view utilization across various scales, from entire portfolios down to specific zones, and export this data for executive reporting or capital planning.
Uses existing Wi-Fi infrastructure and machine learning algorithms to estimate occupancy.
Supports monitoring utilization across portfolios, buildings, floors, rooms, and specific zones.
Provides interactive spreadsheets and reports on space performance over time, with increments from 15 minutes up to one year.
A reporting suite for state, federal, or executive-level occupancy reporting.
A capability that allows users to create custom zones from floor-level data for further analysis.
Includes formal audits and anonymizes wireless network data before it reaches the cloud.
Supports decisions on whether to expand or reduce real estate footprints based on utilization data.
Using occupancy trends to help inform HVAC cooling efficiencies, staffing, and cleaning schedules.
Supports master planning and budgeting for new labs or collaborative spaces.
Comparing registered room reservations against actual occupancy.
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
It integrates with existing Wi-Fi vendors via APIs and uses machine learning algorithms to estimate occupancy based on device connectivity patterns.
The platform anonymizes wireless network data before it reaches the cloud and is SOC 2 certified.
Wi-Fi data helps visualize broader spaces; however, for high-precision desk-level data, additional sensor technology is required.
Source category: Operations
Source subcategory: Facility Management
Lambent Spaces is space planning software that uses Wi-Fi data and machine learning to provide occupancy analytics for corporate and educational campuses. It supports workflows such as portfolio right-sizing and HVAC optimization. Buyers should note that additional sensors may be needed for precise desk-level tracking.