Enterprise-grade telemetry, predictive analytics, and real-time asset intelligence. Deployed across 400+ subsidiaries to monitor critical infrastructure, industrial machinery, and connected assets worldwide.
AZ-RMP aggregates heterogeneous data streams from SCADA, IIoT sensors, cloud services, and legacy industrial protocols into a single observable fabric. Our edge-to-cloud architecture ensures sub-100ms processing, automated anomaly detection, and actionable workflow triggers.
System Architecture →Native support for OPC UA, Modbus TCP/RTU, MQTT, CoAP, REST/GraphQL, and proprietary vendor APIs. Auto-discovery and schema mapping included.
Machine learning models trained on 12+ years of cross-divisional failure data. Predict wear, thermal events, and efficiency degradation before failure.
Lightweight containerized agents run on ARM/x86 gateways. Filter, aggregate, and execute control logic locally during network partition events.
Context-aware notification engine. Escalate via SMS, email, PagerDuty, Slack, or internal ERP based on severity, location, and on-call schedules.
Drag-and-drop visualization builder. Embed real-time KPIs, time-series charts, GIS heatmaps, and digital twins into your existing NOC screens.
Full read/write access via REST & GraphQL. SDKs for Python, Go, Java, and C#. Event streaming via Kafka-compatible endpoints.
AZ-RMP is standardized across Aevum Zenth's portfolio but fully configurable for sector-specific compliance and operational requirements.
Monitor substations, wind turbines, solar arrays, and fusion test facilities. Integrate with SCADA and EMS for grid stability analysis.
Track propulsion systems, satellite health, hangar equipment, and classified facility environmental controls. ITAR-compliant data isolation.
HVAC optimization, occupancy sensing, elevator diagnostics, and energy consumption analytics across commercial portfolios.
Track cargo containers, vessel engines, port cranes, and autonomous freight systems. Integrate with AIS, GPS, and port OS systems.
Designed for resilience, AZ-RMP routes telemetry through secure, redundant pathways with automatic failover and data validation.
AZ-RMP meets the highest standards for data sovereignty, industrial control security, and regulatory compliance across global operations.
Zero infrastructure management. Fully managed by Aevum Zenth's cloud operations team with automatic scaling, patching, and 24/7 NOC support.
| Deployment Time | 2-4 weeks |
| Data Residency | US, EU, APAC regions |
| Support Tier | 24/7 Enterprise SLA |
| Best For | Distribution centers, commercial facilities, greenfield projects |
Deploy within your secure data center or isolated OT network. Includes hardened Kubernetes cluster, offline AI models, and local data retention.
| Deployment Time | 6-12 weeks |
| Data Residency | 100% customer-controlled |
| Support Tier | Dedicated engineering & remote patching |
| Best For | Defense, nuclear, classified facilities, strict compliance |
Keep sensitive OT data on-premise while syncing aggregated metrics to the cloud for cross-site analytics, AI training, and executive dashboards.
| Deployment Time | 4-8 weeks |
| Data Residency | Split policy (customer-defined) |
| Support Tier | Hybrid architecture advisory + 24/7 support |
| Best For | Large industrial campuses, multinational energy grids |
Schedule a technical walkthrough with our solutions architects. Get access to sandbox environments, protocol mapping guides, and architecture reviews.