
Equipment maintenance management
Track equipment health and maintenance workflows through Inspector, from alarm and inspection to work order, field execution, and verification.

Operational digital twins for safer process and maintenance execution
Connect process data, equipment status, safety context, SOPs, maintenance workflows, and training into an operational digital twin for chemical and pharmaceutical facilities.
Core building blocks that define how this page delivers operational value.
Data Fusion Services connects DCS, SCADA, historians, equipment telemetry, alarms, and maintenance systems without replacing existing process control.
Map reactors, vessels, pumps, valves, utilities, zones, sensors, documents, and maintenance history into a shared operating context.
Inspector connects alarms, inspections, work permits, field tasks, evidence capture, and verification so maintenance stays tied to process context.
Director and DataMesh One turn complex operating and maintenance procedures into guided 3D training and field instructions.
FactVerse AI Agent helps engineers identify abnormal trends, repeated alarms, and operating patterns that deserve human review.
Organize equipment, operating, inspection, maintenance, and corrective-action records for internal review and audit preparation.
Practical applications and proven success scenarios across industries.

Track equipment health and maintenance workflows through Inspector, from alarm and inspection to work order, field execution, and verification.

Build standardized training programs and operating procedures in Director for complex tasks, abnormal handling, and equipment service.

Connect process data, equipment status, safety context, utilities, and maintenance activity in a spatial digital twin.

Use AI-assisted analysis to review repeated alarms, parameter drift, maintenance history, and corrective actions before decisions are made.
Chemical and pharmaceutical facilities operate under strict expectations for safety, quality, reliability, and traceability. Process data, equipment state, alarms, SOPs, permits, maintenance records, and training evidence often live in separate systems, making it difficult for operators and engineers to understand the full operating picture.
DataMesh connects these signals into an operational digital twin. It does not replace DCS, SIS, SCADA, or validated quality systems. It helps teams see the process environment, understand equipment context, standardize field work, and preserve evidence for review.
Inspector links alarms, inspections, maintenance tasks, field records, and verification in the same asset context. Director turns expert procedures into guided 3D SOPs and training content. FactVerse AI Agent supports engineering review by highlighting abnormal patterns and repeated issues, while final decisions remain with qualified teams and approved procedures.
Useful workflows include:
For regulated or quality-sensitive operations, DataMesh can help organize records and evidence. Teams can connect SOPs, training completion, work orders, inspection records, equipment history, and corrective actions to the relevant asset and process context. This supports internal review and audit preparation, while formal validation remains the customer's responsibility.
Do not frame the value as a fixed percentage. A strong pilot should show whether field work becomes more consistent, abnormal events are reviewed with better context, maintenance closure is more traceable, and training knowledge transfers more reliably.
See how this product powers real-world use cases.
No. DataMesh is an operational digital twin, analysis, SOP, training, and maintenance execution layer. Process control remains with validated DCS, SIS, SCADA, and approved plant procedures.
DataMesh can help organize traceable records, SOPs, training evidence, maintenance history, and review materials. Formal validation and compliance acceptance must follow the customer's quality and regulatory framework.
Common sources include DCS, SCADA, historians, OPC UA, CMMS, EAM, LIMS, alarm systems, IoT sensors, and document systems, depending on site architecture.
AI Agent supports analysis and review by highlighting trends, repeated alarms, and likely risk areas. It does not bypass operator approval or safety procedures.
Start with one high-value maintenance workflow, one critical asset group, one training procedure, or one repeated abnormal event review.
Use a focused proof of concept to validate operational value before a wider rollout.