Post-Occupancy Performance

Buildings are designed to hold particular conditions. But post-handover, there's rarely any systematic measurement of whether they do. Commissioning checks happen once. Performance evaluation is often anecdotal.

How Twinise Solves This

Twinise measures the conditions themselves, continuously, from day one of occupancy — temperature, relative humidity, ambient light, and how spaces are actually used. Held against the design intent, that turns a conversation about how the building feels into a record of how it behaves.

What You Get

• Design vs. reality comparison — Measure actual temperature, humidity and lighting levels against the design intent, space by space. Quantify the gap.
• Space-level granularity — Don't average across an entire building. Every reading carries the device it came from and the space that device sits in.
• Continuous, not a snapshot — Live readings over WebSockets, with stored history at one-second resolution. Evaluation becomes a running record instead of a commissioning-day report.
• Occupant comfort in context — Read comfort conditions next to how much a space is used, rather than scoring a room nobody was in.
• Digital twin walkthrough — Use the Unreal twin to navigate performance data spatially. Colour-code spaces by temperature or humidity deviation with mesh tint and heatmaps.

Recommended Hardware

The Starter Kit (10 devices) covers a single floor to begin with; the Site Kit (50 devices) and Facility Kit (100 devices) extend the same nodes across a whole building. Particulate matter, radar presence and opening/contact sensing are tested on our hardware and can be integrated on request.

Where To Start

Put nodes in the spaces the design made promises about — the atrium, the south-facing offices, the rooms with a specified range — and leave them running. Post-occupancy evaluation stops being a one-off report and becomes something you can query whenever the question comes up.