Predictive Planning, Built for Your Unique Building

Planning just got more precise

Predictive Planning now adapts to your environment, so every recommendation reflects your industry, region, and building type.

We built Predictive Planning to help workplace and real estate teams at the largest companies in the world make confident space decisions, powered by a Large Spatial Model trained on over 200 million square feet of real workplace behavior. Now, with Workplace Factors, you can tell the model exactly what kind of environment you're planning for, so the recommendations you get are even more specific to how organizations like yours actually operate.

Introducing Workplace Factors

We're launching Workplace Factors, a new capability that lets Predictive Planning customers without sensor coverage configure the tool to their specific environment. Tell us about your industry, your location, and your building type, and watch the model's space mix recommendations adapt in real time.

When you configure your Workplace Factors, you're shaping how the Large Spatial Model generates supply recommendations for your space. We know from nearly a decade of data that a building in London operates differently than a building in New York. A tech company typically needs more focused desk stations; a professional services firm needs more meeting spaces. There's no one-size-fits-all space mix for a floor plan, and now, there doesn't have to be.

Workplace Factors takes your industry, geography, and facility type into account so the recommendations you see are specific to organizations like yours and grounded in the data that's most relevant to your environment.

By configuring your Workplace Factors, you're telling the model what's relevant to you and filtering out what isn't. If you're a tech company in London, your recommendations are shaped by data from similar environments.

This matters because Workplace Factors address something we think is the most important barrier to adoption for any AI-powered planning tool: trust. When your organization is making decisions about where people sit, which floors to keep, or how to redesign a space, you need to trust the data behind those decisions. Workplace Factors closes the gap between "this is a smart model" and "this is a smart model that understands my business." It's how we go from one-size-fits-all to built-for-you.

Predictive Planning, with or without your data

Alongside Workplace Factors, we're launching two capabilities in the coming weeks that make Predictive Planning more accessible regardless of what data you bring to the table.

Self-service badge upload. Many of the teams we work with collect badge data. Soon, you'll be able to upload your own hourly badge data directly into Predictive Planning. Your badge data sharpens demand predictions specifically for your buildings, giving the model more of your reality to work with and giving you more confidence in the output.

Zero-state demand forecasting. Previously, customers without badge or sensor data received a flat demand line, a static placeholder that didn't reflect real-world patterns.

That's about to change. In the coming weeks, the Large Spatial Model will generate intelligent demand forecasts for your space even when you have no historical data. The predictions will be shaped by what the model knows about buildings like yours, your industry, your geography, and your context, so you get a meaningful starting point from day one, not a blank slate.

Whether you're starting with nothing, bringing badge data, or running full sensor coverage, Predictive Planning now meets you where you are, and adapts to make the most of whatever you bring.

See it in Action

This is the next step in making Predictive Planning genuinely yours. A tool that doesn't just predict how space will be used, but predicts how your space will be used, based on what makes your organization unique.

Want to see how it works? Request a demo to talk with our team.