Connect your operations. See problems earlier. Make better decisions.
NUXIOPS connects fragmented industrial data into one intelligent operations platform. It helps teams detect problems earlier, understand the full context, make evidence-backed decisions, act through existing workflows and learn from the outcome.
Maintenance teams should not have to work from scattered information.
NUXIOPS is designed to help teams assemble the right asset context before they plan work, troubleshoot a breakdown, approve a change or make a maintenance decision.
- 01
Reactive work and missing PMs
Recurring failures consume the day while the right preventive maintenance is missing, weak or never created.
- 02
Documents that take too long to find
Teams lose time locating the correct drawing, manual, procedure or prior work context for an asset.
- 03
Tribal knowledge that leaves with people
Shift decisions, troubleshooting insight and validated fixes are not retained when experienced employees move on.
- 04
Schedules that ignore skills and availability
Jobs are planned without a clear match between the work requirement, qualified personnel, materials and operating window.
- 05
Breakdown response without the maintenance record
Work history, past failures and recent repairs are not brought into the decision when the team needs them most.
- 06
MOCs isolated in spreadsheets
Approved modifications and their supporting records do not reliably become part of the affected asset's history.
- 07
Spare parts and BOMs disconnected from FMEA
Critical spares and bill-of-material decisions are not consistently tied to failure modes, consequences and maintenance strategy.
From data silos to intelligent operations.
Live signals and scattered knowledge become a more complete picture of the same asset or event, then evidence people can use to decide what to do next.
Different systems. Pieces of the same story.
- CMMS and EAM: work orders and maintenance history
- Historian: process trends and history
- PLC, SCADA, OPC UA and MQTT: approved signals
- Engineering records: drawings, manuals and procedures
- ERP and MES: materials, cost, production and downtime
One asset. One event. Context across systems.
NUXIOPS organizes authorized information around the asset or event, identifies what is known and missing, and preserves source evidence for review.
Signals interpreted in full context.
- Detect anomalies and recurrence
- Investigate using available evidence
- Anticipate likely conditions where sufficient data exists
- Compare response options, confidence, gaps and risk
A real-time signal is not complete context. NUXIOPS combines live, historical, maintenance, engineering and organizational evidence before reasoning.
- 01Detect anomaliesIdentify unusual behavior against authorized evidence.
- 02Understand the full pictureBring together operations, maintenance, asset and document context.
- 03Recommend practical actionsShow options with sources, confidence, missing information and risk.
- 04Learn from validated outcomesRetain what worked so the next response starts with more context.
Adding AI to every silo does not eliminate the silos.
NUXIOPS makes the asset or event, rather than one application, the center of the context.
Individual system AI
Useful inside one application, while operational context can still be split across the CMMS, historian, ERP, documents and production systems.
NUXIOPS
- Organizes context around the asset or event
- Combines authorized information across systems
- Shows sources, confidence, gaps and risks
- Connects decisions to outcomes and learning
The decision is not the end of the story.
NUXIOPS follows an operational question through execution and outcome, preserving what worked and what did not for the next decision.
- 01SignalCondition or concern
- 02ContextAsset and event evidence
- 03RecommendationOptions and confidence
- 04DecisionHuman authority
- 05ActionExisting workflows
- 06EvidenceWhat was done
- 07OutcomeWhat changed
- 08LearningWhat worked
- 09Operational memoryNext response starts stronger
Pump 2A: a start-up vibration excursion after a configuration change.
This illustrates a possible workflow using representative values. It is not a prediction guarantee or evidence of a deployed customer system.
Is this a normal start-up transient, an emerging mechanical issue or an effect of a recently approved modification?
Live trend evidence
During start-up, the inboard vibration trend moves outside its usual operating pattern while flow, pressure and motor load remain within the approved envelope.
- Vibration rises from a historical start-up mean of 3.2 mm/s RMS to 5.7 mm/s RMS.
- Fifteen-minute standard deviation increases from 0.25 to 0.94 mm/s, indicating an unstable rather than steady condition.
- The excursion begins after the minimum-flow recycle valve changes state, then remains elevated after the pump reaches normal speed.
NUXIOPS builds asset and change context ready for the end user, complete with links to original files and data.
- Historian traces from comparable starts, including speed, flow, suction pressure, temperature and motor current.
- CMMS history showing a recent coupling alignment work order and two prior vibration-related interventions.
- Approved MOC M-241 documenting a modification to recycle control logic and the revised start-up line-up.
- FMEA, OEM limits, drawings and procedures associated with Pump 2A and its support equipment.
Decision support for review
- Compare the event with prior starts to separate a repeatable process effect from a new mechanical pattern.
- Verify the recycle valve position and start-up sequence against the MOC before changing the maintenance scope.
- Recommend a controlled inspection: coupling, soft foot, baseplate and suction condition checks at the next safe operating window.
- Show source records, the confidence of each finding, missing evidence and escalation criteria for human approval.
AI recommends and explains. Operations and maintenance leaders approve the response. NUXIOPS does not autonomously control PLC or SCADA systems.
One platform. Four connected capabilities.
A disciplined path from connected information to operational memory.
Connected operations
Operational systems and knowledge in one shared view without replacing the original tools.
Operational intelligence
Investigation of anomalies, degradation and recurrence when evidence supports the analysis.
Decision intelligence
Evidence-backed options with sources, confidence, missing information and risk.
Operational memory
Validated outcomes retained so future responses start with what the organization learned.
Human authority and controlled access at the center.
Pilot requirements are reviewed with each customer. Planned capabilities are not presented as deployed features.
- Source permissions respected
- Traceable source lineage
- Evidence behind recommendations
- Auditability for decisions and actions
- Human authority over operational decisions
- No autonomous PLC or SCADA control
See NUXIOPS against a real operational problem.
Start with the asset, event or information gap slowing your team down. KANE can help determine whether an AI readiness assessment or a scoped pilot is the right next step.