AI-Powered Data Centre
Cooling Optimisation
Reduces cooling energy consumption by up to 30% through AI optimisation
Privacy-preserving federated AI infrastructure — no data ever leaves your site
ISO 27001, ISO 9001, and Cyber Essentials Plus certified
The Cooling Inefficiency Trap
Fixed schedules leave efficiency on the table.
Cooling is the largest energy cost in most data centres, yet most facilities significantly over-cool. Relying on fixed schedules or manual adjustments leaves enormous efficiency gains untapped while costs and carbon emissions climb.
- No real-time optimisation of cooling set points based on changing conditions
- Data exists but doesn't translate into actionable optimisation guidance
- Sustainability reporting is manual, inconsistent, and hard to audit
- Single-site tools can't learn from cross-site patterns
- Teams lack context to understand WHY changes are being recommended
Predictive, collaborative AI optimisation.
OctaiPipe dynamically and predictably optimises cooling system operation. It provides facilities managers with real-time recommendations in plain English — backed by digital twin simulation and privacy-preserving collaborative AI that learns across multiple sites simultaneously without sharing raw data.
- Plain-English guidance that empowers facilities teams to act with confidence.
- Digital twin technology forecasts savings before any physical set points change.
- Federated learning delivers up to 2x more savings than isolated AI solutions.
- 100% on-premises security — data never leaves your systems.
Core Capabilities
Plain-English Recommendations
OctaiPipe provides simple, clear, and actionable real-time recommendations in plain English, backed up with contextually relevant explanations that inform and educate your team in optimising cooling efficiency. No specialist AI knowledge required — operators get clear guidance they can act on immediately.
Digital Twin & Energy Forecasting
OctaiPipe uses a digital twin of your data centre to safely train the optimiser before offering recommendations in a live system. The digital twin prediction shows forecast energy and changes to the internal environment, allowing users to clearly see the energy and cost savings benefits of any recommended change.
ASHRAE-Aware Cooling Control
Intelligent cooling system control dynamically adjusts cooling set points to minimise energy use without breaching SLAs based on ASHRAE standards. Compliance and efficiency are managed simultaneously, ensuring required operating environments are maintained.
Time Machine — Historical Context
Draws on historical data to give users a contextualised view of any recommended action's cause, effect, and history. Clear contextual explanations inform your team about the reasons and benefits of recommended changes, including highlighted similar previous events.
Sustainability Reporting & Audit Trail
Built-in reporting lets users see all previous events with contextual info — offering easy, instant access to metrics that matter for your audit trail. Supports sustainability audits, ESG compliance reporting, and stakeholder accountability.
Tailored to Your Data Centre
OctaiPipe makes suggestions specific to your site's data points and constraints.
| Input | Detail |
|---|---|
| Customer SLAs | Parameterised with your service level agreements and operating requirements |
| ASHRAE Standards | Cooling set points are continuously validated against ASHRAE boundaries |
| Digital Twin | A virtual replica of your facility is built to safely train the optimiser |
| Weather | External temperature and conditions are factored into cooling load calculations |
| IT Loads | Varying IT loads are measured to reduce water use during non-peak periods |
| Temperature & Humidity | Agreed air temperature and humidity limits are enforced for rack cooling air |
| Cooling Flow Rates | Maximum rate of change for cooling air and chilled water set points is respected |
Indicative Benefits
Typical outcomes for a 50MW Data Centre facility.
* Results are indicative. Use the OctaiPipe ROI Calculator to calculate benefits for your specific site.
Key Use Cases
Cooling energy optimisation
Reduce cooling energy consumption by up to 30% with AI-driven control.
PUE / CUE / WUE improvement
Improve all key efficiency metrics simultaneously without disruption.
Sustainability reporting
Automated, audit-ready reports for ESG, ISO compliance, and accountability.
Multi-site AI optimisation
Collaborative learning across sites delivers up to 2x the savings.
Carbon reduction
Quantify and reduce CO₂ emissions with transparent impact reporting.
Operational team enablement
Plain-English guidance that empowers facilities teams in real time.