Field engagement · Rotating equipment DZ-ENG-2026
§ Practice 02 · Engineering

/ Engineering — industrial intelligence, deployed in the field.

Droz is an industrial intelligence company. We layer applied AI on top of your maintenance data to predict failures earlier and optimize operations across rotating equipment, steam systems, and critical plant assets.

“We protect, monitor, and optimize critical industrial assets using predictive maintenance, software, and AI.”
§ Practice positioning
Two decades of reliability engineering,
now amplified by applied AI.

Unplanned downtime costs industrial plants millions per year — and inefficient processes compound those expenses. Droz combines field-tested predictive maintenance with a unified data layer and applied AI models tuned to your equipment population, so the next failure is detected before it propagates and the next intervention is scheduled before it disrupts production.

§ Reliability stack
Three pillars,
one operating model.

From field instrumentation to AI-driven recommendations — Droz delivers the full reliability lifecycle as a single, accountable engagement.

§ What we do

Five steps from sensor data to automated decisions.

01
Collect
Machine data

Field instrumentation and wireless sensors stream condition data from your critical assets.

02
Analyze
Pattern recognition

Engineering practice and AI software interpret signal patterns against twenty years of reference data.

03
Detect
Anomaly detection

Deviations from healthy baselines are flagged before they propagate into failure modes.

04
Predict
Failure forecasts

Models estimate remaining useful life and recommend the optimal intervention window.

05
Automate
Decision routing

Work orders, alerts, and operator recommendations are dispatched into your CMMS and channels.

§ Assets addressed

Equipment we protect,
systems we keep running.

Across rotating equipment, static assets, electrical & control systems, and full production lines — Droz instruments, monitors, and maintains the assets that determine plant uptime.

DZ-A · Rotating equipment

Primary assets

Focus — condition monitoring, alignment, balancing.

  • Electric motorsLow · medium · high voltage
  • PumpsCentrifugal · process · cooling · transfer
  • CompressorsAir · gas · process
  • TurbinesSteam · gas · hydraulic
  • GearboxesReducers · increasers
  • Fans & blowersIndustrial · HVAC · process air
  • ConveyorsBelt · screw · bucket elevator
  • Mills & crushersGrinding · ball · hammer · jaw · cone
DZ-B · Static equipment

Critical assets

Focus — integrity, monitoring, reliability.

  • Heat exchangersShell & tube · plate
  • BoilersPower · process
  • ReactorsProcess · catalytic
  • Storage tanksAtmospheric · pressurized
  • Piping systemsProcess · utility · cryogenic
  • Pressure vesselsASME-coded
  • Cooling towersInduced · forced draft
DZ-C · Electrical & controls

Power & control systems

Focus — thermography, diagnostics, AI insight.

  • SwitchgearLV · MV · HV
  • Motor control centersMCC enclosures
  • TransformersDistribution · power
  • PLCsProgrammable logic controllers
  • SCADA systemsPlant supervision
  • Industrial instrumentationSensors · transmitters
DZ-D · Production lines

Full lines & process trains

Focus — efficiency, uptime, throughput.

  • Food manufacturingContinuous & batch
  • PharmaceuticalsGMP-regulated
  • Packaging linesPrimary & secondary
  • Automotive linesStamping · assembly · paint
  • Pulp & paperProcess trains
  • Chemical processingContinuous reactors
  • Cement productionKiln · grinding
  • Mining operationsComminution · separation

See refineries & oil & gas →   ·   See power generation →   ·   All industries served →

§ Processes we optimize · AI + customized software layer

Four operational levers,
one intelligence layer.

Maintenance
  • Predictive maintenance programs
  • Planning & scheduling
  • Reactive maintenance reduction
  • Asset criticality prioritization
Operations
  • Production efficiency optimization
  • Downtime reduction
  • Throughput optimization
  • Line balancing
Energy
  • Energy consumption monitoring
  • Load optimization
  • Energy efficiency improvements
  • Tariff & peak-load strategy
Production
  • Yield optimization
  • Waste reduction
  • Product quality improvement
  • OEE tracking
Data & decisions
  • Real-time operational dashboards
  • KPI tracking
  • Intelligent alert systems
  • Executive reporting
§ Where AI differentiates Droz
Five practices,
one intelligence stack.

Applied AI is not a value proposition. It is the operating layer through which Droz monitors equipment, predicts failures, optimizes throughput, automates decisions, and models the plant before it acts.

AI · 01

Anomaly detection

  • Vibration patterns
  • Temperature deviations
  • Energy consumption anomalies
  • Signal-quality drift
AI · 02

Failure prediction

  • Bearing failures
  • Motor degradation
  • Pump failures
  • Lubrication regime alerts
AI · 03

Optimization

  • Production processes
  • Energy usage
  • Maintenance strategies
  • Spare-parts inventory
AI · 04

Automation

  • Automated reporting
  • Smart alerts
  • AI-assisted decision-making
  • CMMS work-order dispatch
AI · 05

Digital Twin

  • Plant simulation
  • Failure-scenario modeling
  • Predictive operational planning
  • Customized per client

The software side of this practice ships under our AI & Machine Learning Systems engagement →

§ Engagement model
Reliability runs as one engagement, not three vendors. Field practice, data layer, and AI — under one senior partner, accountable for one outcome.
§ Scoping conversation
Begin a scoping
conversation.

Engagements begin with a senior partner walk-down of the program scope, asset population, and integration surface. Submit the form below — we respond within one business day.

Response within one business day.