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.
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.
Demand curves for every room, scenario modeling, and predictions out to a year. All from a floor plan and a single data reference point.
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.
Behavioral profiles and cohorts, passive occupancy modeling, team-level reasoning, and the path toward the LSM as an engine other systems can build on.
