Mainpac CMMS Integration

Yes. Rayven ingests real-time telemetry from condition monitoring platforms, IoT sensors, and OT systems, and delivers it to Mainpac continuously. This provides the live data inputs that Mainpac's Asset Intelligence machine learning models and predictive algorithms need to produce accurate, forward-looking asset health assessments rather than retrospective analysis.

Mainpac's predictive maintenance capability applies ML models to work order history and maintenance records inside the EAM. Rayven extends this by providing the real-time OT data layer that those models are missing, including live sensor readings, vibration signatures, thermal data, and current and voltage profiles from the connected plant. With Rayven, Mainpac's predictive models work from a complete, current operational picture, not just historical maintenance records.

Yes. Where Mainpac's API imposes rate or throughput limits, Rayven manages the data flow intelligently by buffering, batching, and prioritising streams. This ensures critical fault conditions trigger immediate work order creation in Mainpac, while lower-priority telemetry syncs efficiently in the background. High-frequency sensor data never overwhelms the integration.

Yes. Rayven integrates across the full Mainpac product suite, including EAM, Mobility EAM, OnDemand EAM, and Asset Intelligence. Field teams using Mobility EAM receive work orders enriched with live asset context. Operational events captured through Mobility EAM in the field flow back to Mainpac and to connected business systems automatically.

Yes. Rayven can feed live condition data, such as deteriorating performance trends, increasing fault frequency, and sensor readings approaching critical thresholds, back to Mainpac. This allows criticality scores to reflect the current asset state rather than a static assessment made at the last review. It keeps maintenance strategy decisions aligned with actual operational risk.

Rayven applies configurable master-record logic, where you define which system owns each data type. Mainpac is typically the master for work order status, maintenance history, and asset condition, while the ERP is the master for parts cost, budget code, and financial reporting. Rayven enforces these rules on every synchronisation, preventing overwrite conflicts and ensuring each system holds authoritative data for its domain.

Yes. Rayven connects to OSIsoft PI, Wonderware, and other industrial historians, pulling long-term asset performance data and pairing it with Mainpac's maintenance history. This enables richer trend analysis, more accurate failure pattern recognition, and more precise predictive maintenance modelling than either system can achieve independently. The insights feed directly into Mainpac's Asset Intelligence and Reliability Centred Maintenance programmes.

Yes. Rayven connects multiple Mainpac deployments and unifies asset and operational data across different sites, regions, and business units. It aligns with Mainpac's Operational Views structure, so each view receives the relevant live data from its corresponding physical environment.

Yes. Rather than relying on manually entered meter readings to trigger Mainpac's condition-based PM, Rayven automates that feed from connected instruments. Runtime hours, cycle counts, throughput volumes, and operating condition readings flow from the plant into Mainpac continuously. This ensures PM triggers fire at the right moment based on actual usage, not a manually updated figure.

Yes. Rayven can extend Mainpac's Power BI integration by blending EAM data with live OT, IoT, and business system data in a unified data model. This enables dashboards that combine Mainpac's asset history, financial performance, and maintenance analytics with real-time operational feeds from the plant floor. The result is richer, more actionable visualisations.

Rayven uses event-driven data pipelines with built-in monitoring, alerting, and retry logic. When a connection to a source system is interrupted, such as a SCADA system going offline during a planned shutdown, Rayven queues the affected data and delivers it to Mainpac once connectivity is restored. This happens without manual intervention and without data loss.

Yes. Rayven builds configurable automation workflows on top of Mainpac's work order and task management engine. These include conditional escalation paths, cross-system notification chains, automated procurement triggers, and custom approval workflows. The workflows are designed around your operational processes, not limited by standard EAM configuration.