<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=2274356&amp;fmt=gif">
Skip to main content
Get a Demo
Office Hours

How the Large Spatial Model Is Changing Workplace Decisions

Most workplace AI tools are running algorithms on assumptions you supplied. VergeSense's Large Spatial Model is different, and it just got a major upgrade.


Join Kanav and Kelby for the unveiling of major upgrades to the LSM: new training data, smarter personalization to your specific environment, and the ability to model at a level of depth and scale that opens up entirely new use cases. We'll walk through everything the model can now do with just a floor plan and a single data source, where the new capabilities are already showing up in your predictions, and where we're taking it next.

WHAT WE'LL COVER:
data_bottle_neck

What's new in the LSM

The AI model has undergone a significant evolution. We'll walk through what changed, what's powering those improvements, and what new use cases this version opens up.

Frame

Minimum input, maximum intelligence

Demand curves for every room, scenario modeling, and predictions out to a year. All from a floor plan and a single data reference point.

months_minutes

Use cases by technology type

What becomes possible when you connect the LSM to your existing stack. We'll walk through real examples across IWMS platforms, WiFi providers, BMS systems, and design tools, and share where we're exploring deeper integrations.

doing_differently

What’s next

Behavioral profiles and cohorts, passive occupancy modeling, team-level reasoning, and the path toward the LSM as an engine other systems can build on.

June_Office_Hours_Email_AS_2026_vFinal

JUN 3RD 11 AM ET  

What You'll Gain:

doing_differently

Explain the LSM to your customers in plain language, including why recommendations built on it hold up in leadership review

data_decisions

Identify the highest-value integration patterns across IWMS, WiFi, BMS, and design tools, and where your platform fits

portfolio_decisions

Spot joint use cases where your data plus the LSM unlocks something neither product delivers on its own

distribution-BA

See what's shipping next in the model so you can align your roadmap and co-selling motion before it lands