EkkoSense combines wireless IoT sensors, machine learning, and physics-based digital twin technology to show in real time how cooling, power, and capacity are performing across air- and liquid-cooled data centers. Its EkkoSoft Critical platform displays live thermal and airflow data on a 3D model of the facility and can estimate measurements that are hard to take directly, such as airflow through individual floor vents. EkkoSIM handles modeling and scenario simulation, so teams can test changes to the data hall and the supporting mechanical and electrical infrastructure before making them.

The service side turns that visibility into action. EkkoSense’s thermal optimization programs instrument rack doors and cooling units, then regularly adjust airflow, including floor grille placement and cooling setpoints, to keep conditions where they should be. Its AI-driven Cooling Advisor recommends changes and reports cooling energy savings of up to 30%. For operators, this reduces thermal risk to equipment, cuts cooling costs, and provides measurable carbon reductions for sustainability reporting. Customers include Telefónica, Virgin Media O2, Telehouse, and Africa Data Centres.