Predictive Maintenance Software Development for US Manufacturers
Sensor-driven failure prediction integrated with your CMMS and MES — built around your equipment, not a vendor's platform.
Reactive maintenance costs US manufacturers an estimated $50 billion a year in downtime and unplanned repairs. Preventive maintenance helps, but it still replaces parts on a calendar regardless of how the machine is actually running. Predictive maintenance closes the gap — it watches the equipment, not the calendar.
Volvsoft builds custom predictive maintenance software for plants where off-the-shelf PdM platforms either don't fit the equipment mix or leave the data trapped in someone else's cloud. We integrate vibration, current, acoustic, and thermal sensors with the CMMS and MES you already run, then layer machine-learning models tuned to your failure modes on top — typically delivered alongside an IIoT data pipeline for the sensor side.
What you get
Sensor-agnostic ingestion
ICP accelerometers, current transformers, IR cameras, ultrasound sensors — bring whatever instrumentation fits the asset.
Failure-mode tuned models
Bearing wear, misalignment, looseness, cavitation, electrical asymmetry — models trained on your data, not generic baselines.
Lead-time aware alerts
Operators see how many shifts until failure, not just a red light. Schedule the repair into a planned window.
CMMS work-order automation
Triggers Maximo, Fiix, UpKeep, or your custom CMMS to spawn a work order with the diagnosis attached.
Edge + cloud architecture
Inference at the edge for low-latency alerts, model training in the cloud. Survives WAN outages.
Plant-floor dashboards
Maintenance leads see asset health at a glance; engineers can drill into the FFT and trend data.
Where PdM pays back fastest
Not every asset deserves predictive maintenance. The ROI math works best on equipment where (a) failure causes downstream line stoppage, (b) repairs require lead-time parts, or (c) catastrophic failure is a safety risk.
- Critical-path motors, pumps, compressors, gearboxes
- CNC spindles and machining centers
- Conveyor drives in continuous-flow plants
- HVAC chillers in temperature-sensitive processes
- Electrical distribution gear in single-feed plants
The data pipeline we build
A working PdM system has four layers, and each has its own engineering challenges. Off-the-shelf platforms usually nail one or two and leave the rest to you.
- Edge: sensor data acquisition, signal conditioning, FFT/RMS feature extraction
- Connectivity: MQTT, OPC-UA, or Modbus to a plant historian
- Models: anomaly detection, remaining useful life (RUL), and failure-mode classification
- Action: alert routing, CMMS integration, mobile push to maintenance techs
Buy vs. build
Off-the-shelf PdM (Augury, Senseye, Uptake, AspenTech) ships fast and works well if your asset mix matches their reference catalog. Custom PdM is the right call when:
- Your equipment is older or non-standard and lacks vendor reference models
- Existing CMMS/MES integrations make off-the-shelf connectors fight back
- Maintenance leadership wants the failure-mode library as their own IP
- Compliance (FDA, FAA, DoD) requires on-prem data and audit trails
- You already have the historian data and want to keep ML training in-house
Frequently asked questions
How much sensor data do you need before models work?
Anomaly-detection models need 6-12 weeks of healthy-state baseline. Failure-mode classifiers need labeled examples of past failures — we work with whatever historical data is available and use semi-supervised approaches when labels are sparse.
Will this replace our CMMS?
No. PdM software feeds your CMMS with better triggers. We integrate with Maximo, Fiix, UpKeep, eMaint, or build a lightweight CMMS layer if you don't have one.
What hardware do we need?
Depends on the asset and failure mode. We typically deploy ICP accelerometers + a Modbus or MQTT gateway per critical machine. For motors, current-transformer-based monitoring avoids drilling into the equipment at all.
How do you measure ROI?
Avoided downtime hours × your hourly contribution margin, minus sensor and software cost. We instrument that calculation directly into the dashboard so leadership sees payback in real time.
Related solutions
Other Volvsoft platforms US manufacturers commonly pair with this one.
Industries we serve
Manufacturing verticals where Volvsoft has shipped production systems for US clients.
Ready to talk to a manufacturing software team?
Book a free 30-minute call. We'll scope your platform.
- Email: sales@volvsoft.com
- Phone: +1 415-729-8811
