Rivac AI LabsPredictive Maintenance (Manufacturing)
Unplanned downtime on a production line is one of the most expensive things that can happen to a manufacturer, and most maintenance schedules are still calendar-based rather than condition-based. This service builds a predictive maintenance model trained on your equipment's sensor data (vibration, temperature, current draw, cycle counts) to flag failure risk before a breakdown happens, not after. It's for manufacturers running equipment where unplanned downtime costs more than the sensors and monitoring needed to prevent it. The model integrates with your existing SCADA or historian data rather than requiring a new sensor network wherever usable data already exists. The result is maintenance scheduled around actual equipment condition, fewer emergency repairs, and less unplanned downtime.
This is a capability we deliver for you as a service, not a role we’re hiring for.
How We’d Approach This
A clear, staged plan, not a black box
These are the service-specific steps inside our six-step process.
- 1
Diagnose current downtime incidents and audit what sensor and maintenance-log data already exists on the equipment.
- 2
Pilot the model on the highest-downtime-cost machine or line, validated against its actual failure history.
- 3
Review predicted failure windows and false-alarm rate with maintenance and operations before wider rollout.
- 4
Launch across the target fleet with alerts routed into your existing maintenance workflow and a human sign-off on every scheduled intervention.
What You Get
Deliverables from this engagement
- Trained predictive maintenance model for target equipment
- Real-time failure-risk dashboard integrated with maintenance workflow
- Validated model accuracy report against historical failure events
- Alert routing into your existing CMMS or maintenance ticketing system
- Ongoing model tuning as equipment and sensor data accumulate
Six Ways We Could Architect This
Different engagement, different build, pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Read all 6 architectures as text
Lean Fast-Start Architecture
Equipment Sensors
- Vibration Sensor Data
- Temperature Sensor Data
- Current Draw Data
- Cycle Count Data
Prediction Pipeline
- Feature Calculation
- Historian Log
- Failure Risk Model
- Past Failure History
Alerting
- Failure Risk Dashboard
- Risk Above Threshold
Maintenance Team
- Maintenance Technician
Cloud-Native / Managed Services Architecture
Edge Collection
- PLC and SCADA Gateway
- Edge Collection Agent
Managed Cloud Ingestion
- Managed IoT Ingestion Hub
- Managed Time Series Database
Managed ML Platform
- Managed Feature Pipeline
- Managed Training Job
- Hosted Risk Model Endpoint
- Anomaly Alert Service
Operations Layer
- CMMS Ticketing System
- Operations Dashboard
- Scheduled Retraining
- Cross Region Backup
Event-Driven & Automation-First Architecture
Sensor Triggers
- Vibration Spike Event
- Temperature Anomaly Event
- Scheduled Health Check Event
Event Bus
- Event Bus
- Risk Scoring Queue
Automated Workers
- Risk Scoring Worker
- Severity Level
Automated Actions
- Auto Create CMMS Ticket
- Page On Call Technician
- Log for Trend Review
- Technician Acknowledgement
- Intervention Sign Off Log
Enterprise-Grade & Compliance-Ready Architecture
Access Control
- Plant Single Sign On
- Role Based Access
Governed Data Layer
- SCADA Historian Feed
- Sensor Data Validation
- Immutable Audit Log
Model Operations
- Primary Risk Model
- Standby Risk Model
- Model Version Registry
Safety Governance
- Safety Engineering Review
- Change Approval Board
Delivery
- CMMS System
- Compliance Report
AI-Augmented, Human-in-the-Loop Architecture
Sensor Inputs
- Vibration Data
- Temperature Data
- Current Draw Data
- Failure History
AI Prediction
- AI Failure Risk Model
- Root Cause Signal Explainer
Human Approval Gate
- Elevated Risk Flag
- Maintenance Engineer Review
- Intervention Scheduling
Action Taken
- Approved Work Order
- Line Continues Running
- CMMS Record
Integration-Heavy / Ecosystem-Connected Architecture
Client Systems
- SCADA Historian
- CMMS Platform
- ERP Maintenance Module
Integration Layer
- Bi Directional Connector
- Tag Mapping Service
Predictive Maintenance Core
- Risk Scoring Engine
- Spare Parts Demand Predictor
Downstream Systems
- Procurement System
- Operations Dashboard
- Team Chat Notifications
- Work Order Sync
- Vendor Ordering Portal
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Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Predictive Maintenance (Manufacturing)Most engagements like this start as a $500–$2,500 pilot, see full pricing.