The challenge
What organisations face
Most plants still maintain equipment on fixed schedules or after breakdowns. Unplanned stoppages disrupt production and delivery commitments, while time-based servicing replaces healthy parts unnecessarily. Sensor data often exists in PLCs and historians but is never analysed in a way maintenance teams can act on.
The solution
What VulcanTech engineers
VulcanTech would connect machine controllers and historians through an industrial IoT gateway, stream vibration, temperature and process data into a time-series platform and train anomaly detection and remaining-useful-life models per asset class. Alerts create prioritised work orders in the maintenance system, and engineers' feedback on each alert is used to refine models over time.
Expected outcomes
What changes for the business
- Fewer unplanned stoppages on critical lines
- Maintenance effort directed where it matters
- Spare parts planned against predicted need
Capabilities
Service lines involved
- IoT & Connected SystemsConnected device fleets that report reliably to the cloud, even when connectivity drops.
- Predictive & Prescriptive AnalyticsForecasts, risk scores and prioritised actions delivered where operational decisions are made.
- Machine Learning EngineeringCustom models trained on your data and proven against a defined baseline before release.
Manufacturing & Industrial
Related use cases
- Visual quality inspectionInline computer vision that detects surface defects, assembly errors and packaging faults at line speed, with consistent, traceable results.
- Consistent inspection across every shift
- Fewer defects reaching customers
- Agentic production planningCoordinated AI agents that re-plan production schedules as orders, materials and capacity change, with planners approving each recommendation.
- Faster response to disruption on the shop floor
- Trade-offs between orders made visible before committing
- Shop-floor knowledge assistantsMobile AI assistants that give technicians instant, cited answers from manuals, procedures and maintenance history at the machine.
- Faster fault resolution at the machine
- Expert knowledge retained as staff move on
Free discovery session
Explore predictive equipment maintenance for your organisation
Tell us what you're building. You'll hear back from an engineer, not an inbox.
- 1We reply within one business day to set up a 30-minute call.
- 2A senior engineer — not a salesperson — walks through your problem.
- 3You get a scoped proposal with timeline and cost. No obligation.
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