PredCo
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Plant Operations

Predict failures, not just schedule maintenance.

PredCo fuses vibration, thermal, acoustic, current, and operational data into per-asset remaining useful life models. Move from time-based PMs to condition-based intervention: without overbuilding sensor infrastructure.

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Use casePlant Operations
Primary userMaintenance / Reliability
Asset classesRotating · Static · Utilities
Time to live4–6 weeks
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MTBF improvement +45 days
Unplanned downtime −30%
01 / Why this matters

Calendar-based maintenance is a 1990s defence against a 2020s asset base.

Time-based PMs over-service healthy equipment and miss failures on the assets that actually need attention.

01
Time-based PMs miss real failures
Bearings, seals, and couplings fail to a duty cycle, not a calendar. Time-based PMs are the wrong defence.
02
Walkthrough data is sampled
Monthly vibration rounds with hand-held meters catch some, not most, degradation patterns.
03
CMMS is a record-keeper, not a brain
Your CMMS tells you what was done. It can't tell you what to do next.
04
Sensor projects keep stalling
Adding hundreds of new sensors is expensive. Most companies abandon the project before payback.
02 / How it works

Listen, learn, predict, intervene.

Click through the stages to see what happens at each one.

Stage 01 of 04

Use available signals first

Start with what you have: MCC current draw, SCADA, existing vibration mounts. Add new sensors only where ROI demands.

03 / Capabilities

Reliability that pays back in the first fiscal year.

Vibration + thermal fusion
Multi-modal signature: vibration, thermal, MCSA, oil debris. Better signal than any single channel.
Remaining useful life (RUL)
Asset-specific RUL forecasts. Plan parts, labor, and downtime windows weeks ahead.
Failure-mode classification
Bearing, imbalance, misalignment, looseness, cavitation: root-cause hints with every alert.
CMMS round-trip
EAM / CMMS work order creation, completion, and feedback: closing the loop on what worked.
Critical-asset coverage
Coverage matrix shows which critical assets are monitored, partially monitored, or blind.
Edge inference
Models run at the line. No streaming raw vibration data to cloud.
04 / Fits your stack
Works with your CMMS: not against it.

PredCo respects the work-order discipline your maintenance team already runs on. Predictions land as ranked work orders inside the systems they use.

  • SAP PM, IBM Maximo, Infor EAM, Fiix
  • OPC-UA, Modbus TCP, MQTT for live signals
  • Wireless vibration: Petasense, Erbessd, Augury bridges
  • Edge GPU appliance per plant
  • Air-gap deployment supported
Asset Reliability in the PredCo platform
05 / Outcomes

What teams measure after go-live

+45 days
MTBF improvement
Median across rotating-equipment customers, 12-month rolling.
−30%
Unplanned downtime
Vs prior 12 months at same plants.
−22%
Maintenance spend
From over-PMs eliminated, on healthy assets.
7 mo
Avg payback
Customers reach payback in fiscal year of deployment.

Figures are indicative ranges from deployment programs of comparable scope. Your baseline determines the actual number, and we size it with you before kickoff.

06 / Standards & regulations

Built for the rulebooks you operate under

Out-of-the-box validation libraries for the standards manufacturers actually use.

ISO 13374ISO 17359ISO 18436API 670 (rotating)IEC 60079 (hazardous areas)ISO 55000
Now onboarding new deployments

Bring one problem. We'll show you the deployment.

A 30-minute working session with our engineering team. No slideware. Bring a real operational problem and leave with a concrete view of what a PredCo deployment looks like for your plant.

Request a demo Talk to our team
4 hrs
Average response time
4–6 wks
Kickoff to live pilot
On-prem
Sovereign deployment supported