Connect your operations. See problems earlier. Make better decisions.
IOPS 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.
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.
IOPS 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. IOPS 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.
IOPS 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.
IOPS
- 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.
IOPS 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: emerging bearing or alignment risk.
This illustrates a possible workflow. It is not a prediction guarantee or evidence of a deployed customer system.
Signal
Rising vibration is detected through an approved data connection.
Context assembled
- Current vibration, temperature and load
- Historian trend
- Recent work orders and prior failures
- OEM information and operating conditions
Decision support
- Possible degradation pattern
- Inspection timing and practical checks
- Source evidence and confidence
- Missing information and risk
AI recommends and explains. People approve and act. IOPS 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 IOPS 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.