Khazna Data Centers Partners with Presight to Deploy AI-Optimized Operations
February 10, 2026
Khazna Data Centers has signed a long-term, commercially significant contract with Presight to embed AI at the core of facility operations and stand up a centralized command and control centre across its portfolio.
This move anchors Khazna NexOps-an in-house operations organization-around a single operating model for people, process, technology, and governance. The goal: consistent execution, faster decisions, and higher resilience for mission-critical workloads.
What's new
- First milestone: a centralized command and control centre delivering real-time visibility and coordinated oversight across all sites.
- Unified intelligence layer: Presight's platform integrates data from OT and facilities systems to enable predictive and prescriptive maintenance, proactive fault detection, and performance optimization.
- Digital twin via Meta-Intelligence: a real-time 3D view for scenario simulation, spatial asset analysis, and operational planning.
- Sustainability analytics: embedded energy optimization, carbon tracking, ESG reporting, and cross-site benchmarking.
Why this matters for Operations
Centralized command compresses detection-to-action time. A shared picture of assets, capacity, incidents, and changes reduces noise and prevents duplicate effort.
Predictive maintenance and prescriptive actions cut unplanned downtime and optimize crew deployment. Digital twins de-risk change by testing scenarios before touching production.
For more on AI applied specifically to facilities and operations, see AI for Operations.
How the stack fits together
- Data ingestion: pull telemetry from BMS, EPMS, chillers, UPS, generators, racks, tickets, CMDB.
- Intelligence layer: models score risk, forecast failures, and recommend actions.
- Command & control: unified monitoring, incident coordination, and change orchestration.
- Automation: safe-guardrailed playbooks for setpoint tuning, workload routing, and escalation.
- Digital twin: simulate capacity plans, maintenance windows, and failure scenarios.
- Sustainability: track PUE, energy mix, and carbon; benchmark sites to drive continuous improvement.
- Governance: standardized SOPs, audit trails, and policy enforcement across regions.
Playbook: apply this in your environment
- Map data sources and close telemetry gaps (critical sensors, asset registry, event streams).
- Define SLOs and escalation paths; codify them into runbooks the platform can execute.
- Start with a pilot site; prove MTTR and PUE improvements before scaling.
- Normalize data (naming, units, timestamps) to make the intelligence layer reliable.
- Segment networks and apply least-privilege access for OT/IT convergence.
- Stand up a change advisory routine that includes digital-twin simulation for high-risk work.
- Upskill operators on analytics, incident command, and automation safety checks; consider the AI Learning Path for Plant Managers for structured training.
KPIs to track
- MTTD/MTTR, incident rate per MW, and percentage of incidents auto-resolved.
- False-alarm rate and alarm noise reduction.
- PUE, kWh per MW of IT load, and cooling efficiency (kW/ton).
- Predictive maintenance hit rate vs. unplanned failures.
- Change success rate and variance in performance across sites.
Risk guardrails
- Over-automation: require human approval for high-impact actions and maintain safe rollbacks.
- Model drift: schedule periodic model validation; alert on accuracy decay.
- Integration debt: standardize connectors and version control data schemas.
- Data governance: enforce ownership, retention, and lineage for all telemetry.
- Resilience: provide active-active redundancy for the command centre and comms links.
- Digital twin fidelity: calibrate against real events; document model assumptions.
What they said
"This collaboration strengthens our ability to operate complex, mission-critical infrastructure with greater visibility, resilience and efficiency. The deployment of Presight's AI-driven platform and centralized command and control centre supports our commitment to operational excellence and sustainable growth as we continue to expand our global data centre network." - Hassan Alnaqbi, Chief Executive Officer, Khazna
"By embedding intelligence into data centre operations, we are enabling greater resilience, efficiency and sustainability at scale. Our work with Khazna demonstrates Presight's ability to translate advanced AI capabilities into scalable platforms that deliver lasting operational value as digital infrastructure continues to grow in size, complexity and strategic importance. We are privileged to support Khazna on this journey as they set new global benchmarks for hyperscale operational excellence." - Thomas Pramotedham, Chief Executive Officer, Presight
Context
The agreement builds on a collaboration announced at GITEX Global 2025 and reinforces Presight's position supporting digital infrastructure across smart cities, energy, public safety, finance, education, and large enterprises.
Further reading
- Presight - platform overview and solutions.
- AI Learning Path for Supply Chain Analysts - related learning paths for optimization and cross-site asset management.
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