VergeSense Launches Large Spatial Model (LSM) to Help Real Estate Teams Predict Workplace Demand
On January 29, 2026, VergeSense announced the Large Spatial Model (LSM), an AI foundation model trained on eight years of workplace behavior across more than 200 million square feet. The goal is straightforward: stop guessing, and start predicting how people will actually use space. For real estate and construction leaders, that means fewer static reports and more confident decisions on portfolio size, layouts, and building operations.
Why this matters for real estate and construction
- Move from occupancy hindsight to forward-looking utilization forecasts.
- Run scenarios before making costly changes to leases, layouts, or MEP systems.
- Align staffing, services, and energy schedules with expected demand, not historical averages.
- Shorten planning cycles with continuous simulation instead of annual reforecasts.
What the Large Spatial Model does
LSM models how people move and behave in offices and predicts how those patterns shift when conditions change. It gives technology partners and enterprise teams predictive signals they can plug into planning and operations. This turns space planning into an ongoing modeling exercise instead of a one-time study.
Where it plugs in across your stack
- IWMS and planning platforms: scenario modeling, right-sizing, and breakpoint forecasting.
- Workplace experience apps: predictive busyness signals and smarter available space recommendations.
- Smart building management systems: predictive scheduling to optimize energy and maintenance against expected load.
- Design and space planning tools: layout simulation and performance scoring to pressure-test test-fits before build-out.
From reports to simulation
Traditional utilization reports tell you what happened. LSM helps you test "what if" questions before you change anything in the real world. Shift policy, adjust team seating, re-time services, or pilot different layouts-and preview the impact on occupancy, flow, and demand.
Practical next steps for portfolio and project teams
- Use predicted utilization to guide lease decisions, consolidation plans, and swing space needs.
- Feed demand forecasts into design iterations to validate adjacencies, collaboration zones, and focus areas.
- Tune BMS schedules, cleaning, and maintenance to the hours and zones that will actually see activity.
- Replace quarterly planning with rolling simulations that update as behavior shifts.
Availability
The VergeSense LSM is available to partners now via API, and customers can access insights through the Predictive Planning product. A launch webinar is scheduled for February 4 at 12 PM ET. Learn more at vergesense.com.
Level up your team's AI skills
If you're building a data-driven workplace stack and want practical training, explore curated AI courses by job function here: Complete AI Training - Courses by Job.
For context on energy optimization strategies in commercial buildings, see the U.S. Department of Energy's Building Technologies Office: energy.gov.
Contact
For partnership or product inquiries: kirsten.lloyd@vergesense.com
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