AI Platform for Manufacturing

SOLUTIONS · MANUFACTURING

Failures are anticipated. And the response executes itself.

Most industrial solutions show the data on a dashboard and wait for someone to look at it. Ruvic executes the full consequence: it detects the deviation in the telemetry, generates the work order, verifies and reserves the spare part, schedules the maintenance window, and notifies the technician. On top of your existing SCADA and CMMS, without replacing the OT layer.

OPC UA · MQTT · Modbus TCP • CMMS / EAM via API · Connectors • CO · MX · CL · PE · US
RuvicRuvic · Plant Command Center LIVE
Asset
Compressor CP-04 · Line 2
Process
Predictive maintenance
00:42
RuvicBearing vibration on CP-04 is up 34% above baseline over the last 6 hours. Pattern consistent with early wear.
PlantHow much time do we have?
RuvicEstimated window of 9 to 14 days. Bearing is in stock in the warehouse, and I’ve already reserved it. I suggest intervening during Saturday’s scheduled shutdown.
PlantGo ahead, schedule it.
Deviation detected Spare part reserved WO generated → Logged in CMMS
Ruvic Engine active30–45% fewer unplanned stoppages
  • 30–45%

    Reduction in unplanned stoppages

    Failures detected early enough to intervene in a planned window instead of in an emergency.
  • 6–12pts

    Points of improvement in equipment availability

    On the availability component of OEE, across the critical assets in scope.
  • 50–70%

    Less administrative time per work order

    Creation, assignment, spare-part lookup, and documentation close-out that a planner does by hand today.
  • <3wks

    From diagnosis to first monitored asset

    From mapping the line to the first group of critical equipment operating against real telemetry.

The plant generates data that no one manages to turn into action.

Your SCADA captures the signal, your historian stores it, your CMMS records the order. But between every system there’s a planner checking dashboards, a supervisor calling the warehouse, and a technician filling out forms. The data exists; what’s missing is someone to act on it in time.

  • 01 — Stoppages

    The failure shows up on the dashboard when the line has already stopped.

    The signal was there hours or days earlier, but nobody was watching it that shift. An unplanned stoppage costs twice as much as a planned one.

  • 02 — Work orders

    Two shifts go by between detecting the problem and opening the WO.

    Someone has to find out, decide, check for the spare part, create the order, and assign a technician. Every link adds hours to a problem that’s already running.

  • 03 — Spare parts

    The day of the intervention arrives and the part isn’t there.

    The WO was opened, the technician was scheduled, and the spare part had an eight-week lead time. The window is lost and the equipment keeps degrading.

  • 04 — Traceability

    The shift report and the nonconformance live on paper and WhatsApp.

    When the customer audit or ISO review arrives, reconstructing what happened on a line three months ago is archaeology.

Manufacturing Processes Automated with Ruvic AI.

Every use case runs on your SCADA, your CMMS, and your maintenance rules. Ruvic doesn’t improvise: it executes the workflow your reliability team defined, escalates to a human when appropriate (high criticality, action on the physical process, exception), and leaves a complete audit trail of every decision.

CASE 01
−45%
Unplanned stoppages on critical assets
Reliability · Predictive maintenance

Detects the deviation, estimates the window, and triggers the intervention.

“We have sensors and dashboards across the plant. But we see the failure when the line has already stopped, not when the signal started to move.”

Ruvic reads vibration, temperature, consumption, and pressure telemetry from your SCADA or historian, compares it against the asset’s baseline, and detects the degradation pattern. When the deviation exceeds the threshold, it estimates the intervention window, generates the work order in the CMMS with the diagnosis attached, and notifies the planner and the shift supervisor on WhatsApp.

CASE 02
−70%
Administrative time per work order
Planning · Work orders

Creates, prioritizes, and closes the WO without the planner keying it in.

“Between someone spotting the problem and the order being opened with a technician assigned, two shifts go by. Everything goes through the planner.”

Ruvic generates the order with criticality, asset, symptom, and associated spare part; prioritizes it against the production plan and team workload; assigns the available technician with the required skills and sends the instructions by WhatsApp. At close-out, it receives the technician’s voice note, structures it, and updates the asset history in the CMMS.

CASE 03
−60%
Interventions postponed for lack of spare parts
Supply chain · Spare parts

Checks, reserves, and purchases the part before the window arrives.

“The day of the intervention arrives and the part isn’t there. The WO gets rescheduled and the equipment keeps degrading until it blows.”

When it detects the risk condition, Ruvic checks stock in your ERP or WMS and reserves the spare part against the order. If there’s no stock, it generates the purchase request with the supplier’s lead time and adjusts the proposed intervention date to real availability. The planner sees a window that can actually be met, not an optimistic date.

CASE 04
3×
Faster shift documentation close-out
Quality · Traceability and reporting

Consolidates the shift, structures the nonconformance, and leaves the trail ready for audit.

“The shift report and nonconformances live on paper and on WhatsApp. Reconstructing what happened three months ago is archaeology.”

Ruvic builds the shift report by cross-referencing telemetry, closed orders, logged stoppages, and the supervisor’s voice notes. For quality, it receives the nonconformance report by voice or photo, structures it against your format, links it to the batch and the asset, and leaves a traceable record for ISO 9001 and customer audits.

What your maintenance manager, your plant manager, and your CIO need to know.

Operational specifications of the Ruvic engine applied to manufacturing. Available from the first use case, configurable per asset, and compatible with the OT and IT infrastructure your plant already runs.

OT Connectivity

OPC UA · MQTT · Modbus TCP · REST

Reads from SCADA, PLCs, and process historians over standard plant protocols. Ruvic consumes the signal that already exists, without touching the control logic.

CMMS and EAM Integration

SAP PM · IBM Maximo · Fracttal · Open API

Creates, updates, and closes work orders directly in your maintenance system. We don’t replace your CMMS, we write on top of it.

Detection Models

Per-asset baseline · Configurable thresholds

Deviation detection against each machine’s own historical behavior, not a generic threshold. Sensitivity adjusts by asset criticality.

OT / IT Separation

OT read-only · Writes only in the IT layer

Ruvic does not execute actions on the physical process by default. It alerts, documents, and escalates. Any action on the plant is enabled case by case with explicit human approval.

Inventory and Purchasing

ERP · WMS · Automatic reservation and requests

Stock lookup, reservation against the order, and purchase request generation with supplier lead time, so the intervention window is realistic.

Plant Channels

WhatsApp · Voice · Web · Voice notes

Technicians and supervisors interact through the channel they already use. Voice notes from the floor are transcribed and structured against your report formats.

Traceability and Audit

Immutable log · Exportable · ISO 9001

Every detection, order, approval, and close-out is logged with a timestamp, with the associated asset and batch, ready for internal and customer audits.

Dynamic Multi-LLM Engine

GPT-4o · Claude · Gemini · DeepSeek

Ruvic selects the optimal model per task within the same process (reading technical manuals, drafting work orders, root cause analysis) without depending on a single provider.

Multi-Agent Orchestration

Specialized agents · Real time

When a deviation occurs, Ruvic invokes agents that check the asset’s history, verify the spare part in the ERP, review the production plan, and draft the order, in parallel. The planner receives a single recommendation.

Frequently Asked Questions About Predictive Maintenance with AI for Manufacturing.

What is predictive maintenance with AI?

It’s using AI to anticipate a failure before it happens: it analyzes your equipment’s signals, detects the pattern that precedes a stoppage, and triggers the work order on its own. Instead of reacting to damage, you prevent it.

What processes can Ruvic automate in manufacturing?

Predictive maintenance, demand forecasting, automatic work order generation, and plant traceability and reporting. You recover availability, time, and control.

Does it integrate with my current systems?

Yes. It connects via API to your MES, ERP, CMMS, and plant data sources (SCADA/sensors), without replacing them: it operates on top of what you already have.

Does AI replace my maintenance team?

No. It automates monitoring and early detection so your team stops operating in firefighting mode and focuses on the interventions that truly require their judgment.

How much does it cost to automate manufacturing processes with AI?

It depends on your equipment fleet, your integrations, and the scope (predictive, demand, traceability). We don’t publish a fixed rate; we size it against your operation in a demo.

PROOF OF CONCEPT

Try it on one of your real production lines.

Request a proof of concept. In under three weeks, you have Ruvic monitoring a group of critical equipment in your plant and running the complete workflow: detection, work order, spare part, and documentation close-out.

✓ Integrated with your SCADA and CMMS via OPC UA · API ✓ No action on the physical process without approval ✓ First monitored asset in <3 weeks
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