Energy intelligence for manufacturing

Next generation software to generate and process insights in real-time and save time and energy



Increase in process efficiency


saving in energy consumption


Real-time visibility of saving



Plenty of data – not enough clarity

Between Energy Management Systems (EMSs), SCADA systems, BMS’s, data historians, maintenance management systems, ERP systems, having enough data simply isn’t a problem.  But is it actually adding any insights?  Do you even know the login to your EMS?  Yet I am sure you know full well that there are optimisations to be had.


Clarity Real-time Analytics

What if you could aggregate all that data into a specialist real-time analytics platform that turn the vast abundance of data you have into meaningful insights that are combined with engineering expertise to deliver and maintain material savings?  CoolPlanet Clarity application does just that.


Analyse Energy and Process Perfomance

With flexible and robust industrial connectivity, Clarity can connect to a vast array of different systems to analyse performance in real-time.

Implement Real-time Predictive Models

A comprehensive modelling engine allows you to implement predictive statisical models to instantly show where you are consuming too much.

Turn Data intoAction

With a powerful alerting engine, deviations from expected can be turned into actions and the rectifications monitored in real time.

How it works

Connect– The PlanetClarity edge node is connected to the facility to start gathering all necessary operational data, with nex metering installed if necessary.
Twin Design –The PlanetClarity team works with the onsite engineers to map all important data and build digital twins of the assets and processes that are to be monitored.
Analyze –Using live and historic data and a combination of tools, predictive process models are built to determine optimum performance equations under various conditions.
Build –The models built using various analysis tools are then folded back into PlanetClarity for a full-process digital twin to be built, where live data feeds the predictive models, and real-life performance is monitored.
Monitor –Customized dashboards, alerts, and reports are built to analyze the metrics that matter.