Pure Technology
Predictive Maintenance

Maintenance signals before breakdowns interrupt production.

Predictive maintenance systems that combine sensor data, machine history, inspections, and work-order context to detect risk early and move teams from reactive repair to planned intervention.

30-60 days
Signal validation
RUL
Remaining useful life
CMMS
Work-order ready
24/7
Condition monitoring

Built for teams that need this to just work.

Who this is for

  • Plants with critical motors, pumps, compressors, conveyors, boilers, presses, or CNC equipment.
  • Maintenance teams spending too much time on emergency repair and calendar-based over-maintenance.
  • Operations leaders who need risk-ranked actions instead of raw sensor dashboards.
  • Enterprises connecting maintenance, production, and reliability teams through one evidence trail.
What we deliver

A full-stack capability - not a job title.

Every engagement is led by senior practitioners. You meet them in the pitch; they ship the work.

Condition monitoring

Ingest vibration, temperature, current, pressure, runtime, alarms, and inspection history.

Failure-risk models

Detect anomalies, forecast deterioration, estimate remaining useful life, and rank intervention urgency.

Work-order automation

Create or recommend CMMS/EAM work orders with probable cause, evidence, and priority.

Asset health dashboards

Show risk by site, line, asset class, component, and failure mode.

Maintenance optimization

Balance planned work, spare availability, production windows, and risk.

Reliability analytics

Track MTBF, MTTR, recurring failure patterns, and model performance over time.

Outcomes that matter

Numbers from real engagements.

25%
Less unplanned downtime

Risk-ranked alerts helped maintenance intervene before repeated breakdown patterns.

19%
Lower maintenance waste

Calendar tasks were adjusted using condition signals and asset risk.

CMMS
Closed-loop action

Predictions generated traceable tasks instead of stopping at dashboard alerts.

FAQ

The questions we hear most.

Which assets should we start with?+

Start with assets where downtime is expensive, failure modes are repeatable, and sensor or maintenance history exists.

Is this the same as APM?+

No. Predictive maintenance is focused on failure prediction and maintenance action. APM is broader; we are not creating a separate APM page per your request.

Can predictions create work orders?+

Yes. We can integrate with CMMS/EAM systems so risk signals become recommended or auto-created work orders.

Related services

Most engagements span more than one practice.

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Ready to scope this in detail?

A 30-minute call with a senior engineer. No sales theatre — just a real assessment of fit, scope, and timeline.