// PLATFORM · INFRASTRUCTURE INTELLIGENCE

The operating layer for electrical reliability

NAPS unifies edge telemetry, normalized asset history, physics-based failure libraries, and machine-learning models into one continuously-running intelligence layer — a live digital twin of the power system that predicts failures, quantifies operational risk in dollars, and tells your crews exactly what to do before an asset takes the system down.

1,184

Live telemetry channels

Assets under management

31 h

Median pre-failure warning

$2.8M

Outage avoided · this scenario

// LIVE DIGITAL TWIN

SUBSTATION 7 · WESTGATE 115/13.8 kV

Westgate Substation — live operations view

Hover any asset to inspect its telemetry, health, and predicted remaining useful life. Toggle the analytical layers. Watch the platform detect, escalate, and price an incipient transformer failure on T-14 in real time — and recommend the intervention that avoids the outage.

NAPS OT-INTEL / westgate-115 Live

Visualization Layers

Fleet Health 25 ASSETS

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Health idx

Nominal—

Watch—

Critical—

Maintenance Queue

ONE-LINE · LIVE

Nominal Watch Critical

Asset Inspector HOVER / CLICK

Operational Risk Engine

REAL-TIME OUTAGE & FAILURE COST MODELING · T-14 SCENARIO

STANDBY

Outage cost / hr

Downtime exposure

0 h

Lost revenue

Labor escalation

Emergency sourcing

Regulatory penalty

Outage probability

Asset criticality

0/100

Cascade exposure

Cost avoided

Predictive savings

Time to threshold

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Predictive Alert Feed

Event Timeline

// THE INTELLIGENCE LAYER

From raw sensor noise to a defensible work order

The platform is a closed loop. Every prediction is traceable back to the physics and the telemetry that produced it — so reliability engineers trust it and executives can act on it.

01 · INGEST

Edge telemetry

DGA, thermal, partial-discharge, vibration, breaker timing, and power-quality streams ingested at the asset over a hardened, segmented OT link.

02 · NORMALIZE

Asset fingerprinting

Nameplate, maintenance history, and loading are normalized into a per-asset baseline so anomalies are measured against the asset's own behavior.

03 · MODEL

Failure libraries + ML

Physics-based failure-mode libraries constrain machine-learning models, producing health scores, RUL estimates, and probability of failure with confidence intervals.

04 · PRICE

Operational risk

Each prediction is priced against criticality, SLA exposure, and cascade paths — translating an engineering signal into a dollar-denominated decision.

05 · ACT

Work orchestration

Recommendations flow into CMMS/EAM with the evidence attached, and the loop closes as intervention outcomes feed back into the models.

// BUILT FOR THE BOARDROOM AND THE CONTROL ROOM

One platform, two languages

For executives & operations leadership

Risk you can put a number on

Outage exposure in real dollarsEvery asset carries a live outage-cost-per-hour, SLA exposure, and cascade liability — not an abstract color.

↑

Uptime & ROIQuantified cost-avoided and predictive savings per intervention, defensible to the board and the regulator.

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Capital you can deferRUL estimates turn run-to-failure capital into planned, optimized replacement on your schedule.

For reliability & maintenance engineers

Telemetry you can defend

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Real diagnostics, not magicDGA key-gas ratios, hot-spot models, PD trending, and breaker timing — the methods your standards already recognize.

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Traceable predictionsEvery health score and RUL estimate is explainable back to the signal and the failure mode that drove it, with confidence intervals.

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Engineered for your stackSegmented edge architecture, protocol-aware ingestion, and CMMS/EAM workflows that fit how crews actually work.

// PLATFORM CAPABILITIES

The full diagnostic surface

XFMR

Transformer DGA & thermal analytics

Dissolved-gas trending, hot-spot modeling, and OLTC wear analysis with incipient-fault classification.

SWGR

Partial-discharge intelligence

Continuous PD pattern recognition across switchgear and cable terminations to catch insulation breakdown early.

BKR

Breaker timing & duty models

Operation counts, contact-resistance trends, and mechanism timing scored against duty cycle and OEM limits.

ROT

Rotating-asset vibration

Motor and generator vibration routes with bearing and alignment fault signatures and trend alarms.

Power quality & harmonics

THD, flicker, and power-factor monitoring that links load behavior to asset stress and compliance.

UPS

UPS & battery health

State-of-health, impedance, and ride-through modeling for critical 2N protection paths in data centers and hospitals.

RUL

Remaining useful life

Per-asset RUL estimates with confidence intervals that convert condition into capital-planning horizons.

RISK

Cascade & criticality modeling

Upstream/downstream dependency graphs that price the true system impact of any single-asset failure.

SEC

Cybersecurity-first edge

Segmented, least-privilege OT architecture designed for critical infrastructure from the first sensor.

Put the operating layer over your own assets

Start with a targeted assessment of your highest-criticality assets and a deployment roadmap for continuous infrastructure intelligence.

Request a platform demo →