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Industries / Data Centers

Predictive infrastructure intelligence for high-density data centers

The 200kW rack era demands monitoring that matches the density. Legacy DCIM was built for a different generation of infrastructure — Integrity closes the sensing, correlation, and evidence gap.

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1kHz power sensing
Transient-resolution electrical telemetry across critical feeds.
Cross-domain correlation
Power, cooling, vibration, and operations reasoned together.
SLA-grade evidence
Auditable records that survive insurance and contractual review.
The gap today

Where legacy DCIM stalls

Monitoring built for a previous generation of infrastructure misses the transient events that precede real failures — and buries operators in noise along the way.

  1. 01

    Built for 10–20kW racks

    5–15 minute polling intervals miss transient events. By the time the system registers an anomaly, the failure sequence has already begun.

  2. 02

    40–60% false alarm rates

    Without sufficient context or confidence scoring, alert volumes overwhelm operations teams. Critical signals get buried in noise.

  3. 03

    Reactive operations

    Teams learn to ignore alerts. Maintenance becomes break-fix instead of predictive, and operators lose trust in the monitoring layer.

Why it matters
200kW
Per-rack density you're being asked to operate

Monitoring designed for a 10–20kW world cannot defend uptime at 10–20× the density. Integrity's sensing depth, correlation, and evidence architecture was built for the new reality.

What we see

What Integrity sees that DCIM misses

Higher-resolution sensing and cross-system correlation reveal the signals that precede real failures — with enough context to trust the alert.

1kHz

High-resolution power signatures

Transient events, harmonic distortion, and load imbalances invisible to standard BMS polling.

Wideband

Vibration and bearing degradation

Early mechanical wear detection in CRAC units, chillers, pumps, and fans — weeks before failure thresholds.

Spatial

Environmental gradients

Temperature and humidity mapping that reveals hot spots, airflow issues, and cooling inefficiencies across rack rows.

Context

Operational history

Maintenance work orders, load changes, and configuration events correlated with sensor data for real root cause.

Flow

Cascade failure in four stages

Failures in data centers rarely happen in isolation. One degradation propagates through interconnected systems — Integrity maps the cascade and detects it at stage one.

  1. S1
    Cooling01

    Cooling degradation

    CRAC unit bearing wear reduces airflow capacity. Traditional monitoring shows the unit as operational.

  2. S2
    Thermal02

    Thermal drift

    Rack inlet temperatures begin rising. Gradual change sits within normal polling thresholds.

  3. S3
    Compute03

    Rack stress

    Server CPUs begin thermal throttling. Performance degrades but no alert fires — each metric is within its threshold.

  4. S4
    Electrical04

    Electrical impact

    UPS load shifts as servers draw more power to compensate. Downstream electrical systems see unexpected load patterns.

Outcomes

Operational outcomes, quantified

What changes when sensing, correlation, and evidence are built into the same platform from day one.

Up to 85%

False alarm reduction

Confidence-scored outputs cut noise so operators trust the alerts they receive.

3× earlier

Failure detection

Degradation patterns visible days or weeks before critical thresholds.

Audit-ready

Evidence trails

Structured packs for compliance, insurance, and contractual defense.

Defensible

SLA posture

Mathematically grounded uptime documentation that holds up under review.

Deployment motion

Start focused, prove value, then expand with confidence.

1

Land

Deploy monitoring on a critical cluster or high-priority system. Validate detection accuracy against known failure modes.

2

Validate

Prove ROI through earlier detection, lower false alarm rates, and evidence-backed maintenance decisions.

3

Expand

Roll monitoring across additional systems, floors, and facilities with proven baselines and operator trust.

Strategic guidance

Michelle Holthaus — Advisor

Strategic relevance in enterprise infrastructure and semiconductor-adjacent ecosystems. Strengthens Integrity's connection to data center decision environments and large-scale compute infrastructure.

Map the platform to your facility

See how Integrity applies to your specific data center environment, cooling architecture, and SLA requirements.

Schedule a facility review