When a real estate or workplace team needs to right-size a portfolio, redesign a floor, or pressure-test an adjusted attendance policy, the traditional move is to bring that problem to a consultant, wait several months, spend hundreds of thousands of dollars, and receive a PDF that’s already out of date the day it lands.
The Meridian Platform runs on real occupancy data and a Large Spatial Model trained on 250M+ square feet of workplace behavior, you can answer the same questions in hours instead of months, with sharper data and forecasts that recalculate the moment something changes.
This month’s releases push that advantage further: better demand forecasting from data you already have, calendar analytics without the IT lift, and a deeper integration with Logitech that enriches both sides of the platform.
Predictive Planning: Bring Your Badge Data
Many of the teams we work with already collecting badge data. Now it has a home. You can upload your own badge data directly into Predictive Planning, giving the Large Spatial Model another real datapoint to sharpen demand predictions specifically for your buildings.
It’s a simple upload: no integration, no FTP, no API keys. Just bring the badge data you already have, anonymized, in whatever format you use today.
What’s new
- Upload your hourly badge data and the model reads your swipe data directly
- We translate raw swipes into true peak occupancy. Badge-ins overcount what’s really happening (people badge in but not out), so the model uses our sensor-trained dataset to estimate how many people were actually in your building at once.
- Find it all in the refreshed Prediction Model tab at the top of Predictive Planning, alongside Workplace Factors, Capacity Pooling, and Desk Policy.
What this means for you
Whether you’re starting with nothing, bringing badge data, or running full sensor coverage, Predictive Planning meets you where you are, turning how your people actually show up into sharper, building-specific forecasts. And because badge data captures real adherence to your policy, your what-ifs (a headcount bump, shifting from 3 days to 2 or 4) reflect what would truly happen, not just what’s on paper.
Occupancy Intelligence: Read-only calendar integrations for Google Calendar and Microsoft 365
Booking analytics just got easier to turn on. You can now connect Google Calendar or Microsoft 365 with read-only access to our space booking automation feature.That means the full booking analytics experience (no-show detection, ROI dashboards, and ghosted-booking insights) without the heavier security review.
What this means for you
This is the fastest, lowest-friction way to put your calendar data to work, surfacing where rooms are booked but never used, and where space is being quietly wasted. It’s a natural way to get more value from the tools your teams already live in every day, with a clear path to richer automation when you’re ready.
Better Together: VergeSense + Logitech
VergeSense recently joined the Logitech Collaboration Program (LCP). Person count data from Logitech workspace solutions like Rally Bar and Spot now flows directly into VergeSense, giving joint customers a richer, more complete view of how every space is used, from data you may already have deployed across your offices.
Because it feeds both sides of the platform, the integration works along the same two lines as the rest of this update:
- Predictive Planning: that same signal strengthens demand forecasts and what-if scenarios; more real-world coverage means more confident decisions.
- Occupancy Intelligence: Logitech person count refines space utilization insights, so you can see how conference rooms and the broader workplace are actually being used.
For enterprises with Logitech solutions deployed, it’s the fastest path to richer Predictive Planning coverage and a more complete picture of occupancy across the portfolio.