Operational Compliance
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.
MTBF improvement +18 days
Unplanned downtime −54%
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.
STEP 01
Use available signals first
Start with what you have: MCC current draw, SCADA, existing vibration mounts. Add new sensors only where ROI demands.
STEP 02
Build per-asset baselines
Models tuned per asset, not a generic library. Drift detection picks up the changes that matter.
STEP 03
Predict and rank
Asset health score and predicted remaining useful life. Ranked queue for maintenance planning.
STEP 04
Trigger CMMS workflows
Auto-create work orders, requisition parts, schedule interventions — directly in your CMMS.
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 / Integrates with
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
Replace with: architecture / integration diagram
INTEGRATION MAP
05 / Outcomes
What customers measure
+18d
MTBF improvement
Median across rotating-equipment customers, 12-month rolling.
−54%
Unplanned downtime
Vs prior 12 months at same plants.
−32%
Maintenance spend
From over-PMs eliminated, on healthy assets.
9 mo
Avg payback
Customers reach payback in fiscal year of deployment.
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
07 / Powered by
The Predco products behind this solution
Available for new deployments — Q2 2026
Optimize. Predict. Prevent. Comply.
Bring AI-powered compliance to your manufacturing operations. A 30-minute call with our team — no slideware, just a working walkthrough.
4 hrs
Avg response time
6 wks
From kickoff to live pilot
SOC 2
Enterprise security posture