OctaiPipe

Founded 2021

Cut data center cooling energy consumption and track sustainability metrics using local AI models

Pricing model

Demo

You can use OctaiPipe to cut cooling energy consumption across data centres without causing downtime or operational disruptions. The system runs directly on premises to keep your facility data private while AI agents generate real-time control recommendations. These collaborative models learn across distributed facilities to reduce power and water usage while boosting system stability. You can also generate automated sustainability reports, monitor critical metrics like PUE, CUE, and WUE, simplify environmental audits, and verify carbon reductions across multiple data centre locations.

What OctaiPipe does

Monitor cooling system energy use in real timeCalculate Power Usage Effectiveness improvementsDeploy local AI models on data centre hardwareGenerate sustainability compliance reportsTrack water and electricity cost reductionsShare learned operational strategies across facility locationsDeploys on premises so zero operational data leaves the facilityCoordinates learning across multiple distributed sites to accelerate model accuracyGenerates real-time control recommendations for HVAC and cooling equipmentCalculates and monitors facility metrics including PUE, CUE, and WUEAutomates environmental reporting for carbon compliance and auditsOperates without requiring downtime or service interruptions during implementation