AI-Era Data Center Reliability

Reliability engineering
for AI-era data centers.

Reliability engineering and asset intelligence on top of the DCIM, BMS, and EPMS you already run — for operators and banks facing high-density racks, liquid cooling, and audit-ready evidence demands.

Colocation operators
Retail & virtual banks
Hyperscale tenants
Aligned to Uptime Tier III / IV
01 — The four pains

Downtime is expensive.
Regulation is unforgiving. AI density is unfamiliar.

We built ReliDC for operators where AI density, liquid cooling, and regulatory evidence collide — without ripping out the stack you already trust.

$14.5K/ minute
Unplanned downtime cost

One rack failure eats a year of margin. Reliability engineering is not a nice-to-have; it is a P&L line.

40–150kW / rack
AI density vs 5–15 kW legacy

Air-cooled halls were not designed for this. Retrofits and liquid-cooling pilots need a new failure model.

Boardready
Operational resilience evidence

Banks and critical operators need continuous asset-dependency mapping — not annual snapshots for the next audit.

Energyaudits
Efficiency regimes tighten

PUE, chiller efficiency, and cooling-water use are becoming reportable at audit depth across more jurisdictions.

03 — Method

One sequence. Standards-aligned. No shortcuts.

We turn drawings and telemetry into maintenance strategies, spares, and audit-ready evidence — working on top of the DCIM, BMS, and EPMS you already run.

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.

04 — Outcomes

What we measure ourselves against.

42%
Reduction in reactive maintenance hours across pilot deployments
9 mo
Typical payback on the reliability engineering retainer
1.28
PUE floor achievable on a mixed AI + legacy hall with active tuning
100%
Critical-path scenarios evidenced with live asset data
ReliDC gave our board a defensible resilience posture in weeks. The reliability retainer paid for itself the first quarter — we caught a CDU manifold drift no one else was looking at.
Head of Critical Facilities
Tier III+ colocation · 22 MW
Availability · trailing 60 days99.994%
Nominal Watch Incident
Work-order queue4 open · 1 critical
  • P1
    Replace CHW-02 bearing set
    48h
  • P2
    PDU-207 harmonic survey
    5d
  • P3
    Quarterly IR scan · Hall H3
    12d
  • P3
    Genset load-bank test
    21d
05 — Regulatory

Evidence regimes are getting stricter. Screenshot dashboards will not clear them.

Operational resilience
Critical operations mapped to supporting assets.

Continuous, evidenced dependency mapping and severe-but-plausible scenario testing — the kind of posture boards and supervisors increasingly expect from banks and their facility providers.

Energy & efficiency
PUE and cooling performance at audit depth.

Energy-audit regimes are expanding into data centers. Continuous PUE, chiller efficiency, and cooling-water data beats a one-off consultant sweep.

06 — Integrations
Vendor-agnostic by design.

ReliDC reads from what you already run. If it speaks SNMP, Modbus, BACnet, or a modern REST API, we reconcile it into one asset model.

Schneider EcoStruxure ITSunbird dcTrackNlyteVertiv EnvironetSiemens DesigoHoneywell BMSSNMP · Modbus · BACnet
Start here

A reliability assessment scoped to one hall — in about four weeks.

Fixed scope, fixed fee — priced for your market. You end the engagement with a baseline asset model, a FMEA-ranked risk register, and a regulatory evidence starter pack.