Live thermal model
Every rack, every aisle, every CRAC unit — modelled in real time from sensor data.
04/products/datacenter · ProductVol. I · Issue 01 · Q3 2026
PLATFORM · P08
BUILT
Datacenter Thermal
Thermal intelligence and cooling optimisation against live plant data.
Datacenter Thermal is the outlier in this list — the only platform in the eight that talks to physical plant. It reads sensor data from a live datacenter, models the thermal envelope, and optimises cooling in real time. Written for operators who have exhausted static cooling design.
01 · The problem
What datacenter thermal is for.
- Cooling designed for peak, running at peak all year
- Hot spots the design did not anticipate
- Energy bills climbing faster than compute demand
- ESG targets the current cooling regime cannot meet
- Sensor data no one is reading
- Operators running blind between quarterly thermal audits
02 · What is in it
The capability.
Predictive control
Adjusts cooling ahead of thermal load, not after. Fewer thermal events, lower average energy draw.
ESG reporting
PUE, WUE and carbon intensity reported at operator, facility and rack level. Regulator-ready.
BMS integration
Reads and writes to the Building Management System without ripping and replacing it.
03 · The distinctive mechanic
Physics-aware, not statistics-only.
Most thermal optimisation tools are statistical — they learn from historical operation and interpolate. Datacenter Thermal is physics-aware — it models the thermodynamics of your specific plant and predicts, not just infers. When your load pattern changes, it does not need to re-learn.
04 · Who it is for
Colocation operators. Hyperscaler regional teams. Any datacenter operator carrying an ESG obligation the current thermal regime cannot meet.
Run datacenter thermal in your business.