Hong Kong · Greater Bay Area

Reliability engineering for
AI-era data centers
in Hong Kong.

Lifecycle decisions for uptime, AI-density readiness, liquid-cooling reliability, and audit-ready evidence — on top of the DCIM, BMS and EPMS you already own.

Built for HK operators & banks
Works with your existing DCIM
Standards-aligned method
How we work

The ReliDC Reliability Method

Full methodology →
01
TH

Technical Hierarchy

ISO 14224 9-level equipment taxonomy sourced from P&IDs and SLDs. Clean asset boundaries for chillers, HV transformers, PDUs, CRAHs and CDUs.

02
ACR

Asset Criticality Rating

6-step facilitated ranking. Safety, Environment, Reputation, Financial. 5x4 matrix. Classes A-D map to strategy, standby, spares and RCA candidates.

03
FMEA

FMEA & Asset Strategy

RCM decision logic per SAE JA1011/1012. On-condition, scheduled, failure-finding, RTF or redesign — tuned to MTBF, cost and availability.

04
EMBED

Embed in CMMS

Strategies, spares, RCA candidates and KPIs written back into your CMMS. Between audit cycles, the loop keeps improving.

Why now: Hong Kong urgency.

Density mismatch

Legacy halls at 5–15 kW/rack meet AI workloads asking for 40 kW+.

Liquid cooling

Direct-to-chip and rear-door heat exchangers introduce new failure modes.

Power constraint

CLP/HKE capacity is the binding limit. Every stranded kW is lost revenue.

BEEO Sep 2026

Mandatory 5-year energy audits for Schedule 4 Type 10/11 data centres.

HKMA OR-2

Banks must map dependencies and scenario-test critical facilities.

Cluster fabric

AI DCI Superhighway means faults now cascade across TKO ↔ Hetao.

Featured insights

All insights →

A reliability assessment scoped to one hall.

Fixed scope, fixed fee, HKD 300K–1.2M depending on hall complexity. Baseline asset model, FMEA-ranked risk register, and OR-2 / BEEO evidence starter pack.