This whitepaper introduces VergeSense's Large Spatial Model (LSM), a foundational AI model built on over 8 years of anonymized occupancy data spanning more than 200 million square feet of office space.
It explains how the LSM predicts how people will use office spaces, even without physical sensors installed, by combining floor plan metadata, building context, and any available measured data.
The paper covers the model's:
- Architecture
- Privacy-first design
- Monte Carlo simulations, which produce probabilistic predictions
- Validation results, which show average prediction errors of less than one person per space.
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