VergeSense, a US-based workplace technology company specialising in occupancy and space-use analysis, has launched its Large Spatial Model for real-estate technology providers.
The model is available to technology partners via an application programming interface (API), which enables separate software platforms to exchange data and functions. Property and workplace teams can access the model’s forecasts through VergeSense’s Predictive Planning product.
VergeSense says it trained the model on eight years of workplace behaviour across more than 200 million sq ft of office space. While conventional workplace analytics record occupancy and past utilisation, the model forecasts how demand may respond to changes in an office or its attendance policies.
Teams can test proposals, such as removing desks, redesigning a floor, or accommodating more employees, before making physical changes.
Model tests variations in office demand
Office demand can vary by day, season, working practices, and attendance requirements. An office may appear underused overall yet lack meeting rooms or quiet areas during busy periods.
The Large Spatial Model predicts how employees may distribute themselves across desks, focus rooms and collaborative areas. It accounts for meeting sizes, the popularity of different spaces, and which rooms are likely to fill first.
Predictive Planning uses Monte Carlo simulation, a statistical technique that runs a scenario multiple times with small variations to produce a range of possible outcomes.
In a product explanation published before the API launch, VergeSense described simulating 1,000 working days. Meeting sizes, employees’ choice of spaces and the order in which rooms were occupied varied across runs.
The software uses those simulations to estimate how often shortages may arise, where bottlenecks are likely to form, and how many employees could be affected as attendance increases. It produces a range of possible outcomes rather than setting a single capacity limit.
Earlier tools led to Predictive Planning
The model has its origins in Breakpoint Analyzer, which VergeSense released in beta in June 2025. The tool combined floor plans with occupancy data collected via sensors or workplace Wi-Fi networks to predict which spaces would fill first.
Breakpoint Analyzer required Wi-Fi or sensor data during its beta period. It examined capacity constraints, the balance between different types of space, and areas where available space was not being used effectively.
The tool generated what VergeSense calls a “usage fingerprint”, a profile of how employees use a specific workplace. VergeSense later incorporated Breakpoint Analyzer into Predictive Planning, which launched in September 2025.
Predictive Planning enabled users to model headcount changes, attendance policies, lease exits and office expansion. For offices without direct occupancy measurements, VergeSense said the product could simulate occupancy patterns using benchmarks from its wider dataset.
The Large Spatial Model already supported these forecasting features in Predictive Planning. Its API release now enables other technology providers to incorporate the model into their own products.
API targets workplace technology providers
VergeSense is offering the API to providers of integrated workplace management systems, workplace experience applications, smart building platforms and space-planning tools.
An integrated workplace management system, commonly known as IWMS, is software used to manage property portfolios, workplace space, maintenance and other building operations.
Planning platforms could use the model to estimate when an office may face capacity constraints or to assess the effects of reducing a property portfolio. Workplace applications could alert users when specific areas are expected to become busy.
Design tools could test proposed layouts before construction or interior fit-out, the work required to prepare an interior for occupation. VergeSense also identifies demand-based planning for smart building operations as a potential application. Real estate and workplace customers will continue to access the model’s forecasts via Predictive Planning.
Image: Courtesy of VergeSense
