Connect PLCs, SCADA, meters, and machines at the edge; add a shared operational model; and deliver live and historical context to dashboards, workflows, MES, ERP, analytics, and AI in infrastructure you control. Proxus combines IIoT platform connectivity with OT data platform governance for real-time operations.
Collect, validate, contextualize, retain, monitor, and deliver operational data between edge assets, the Unified Namespace, and governed IT/OT consumers. Review the performance methodology.
Trusted by Customers and Partners
The Operational Data Problem
OT and IT teams lose time when each dashboard, MES connection, analytics pipeline, or AI initiative starts by rebuilding the same device access, naming, context, and recovery logic.
Each consumer creates another connection to maintain across protocols, machines, and sites.
Tag names arrive without the asset, line, process, quality, and event context required downstream.
Remote pipelines become operationally fragile when local collection and recovery depend on a stable WAN.
MES, ERP, BI, and AI teams clean and remodel the same operational signals for each project.
One Governed Operating Model
Proxus connects field sources, preserves operational meaning, keeps essential work close to the process, and delivers governed data to every approved consumer.
Bring PLCs, SCADA, sensors, meters, robots, and CNCs into a managed connectivity layer close to the process.
Organize live signals in a shared asset and process model so every approved system receives the same operational meaning.
Keep operational history in customer-controlled storage and buffer telemetry at the edge within configured capacity and retention limits.
Evaluate events locally and turn real-time changes into alerts, rules, workflows, and operator visibility.
Publish trusted operational context to dashboards, MES, ERP, BI, databases, cloud services, and approved AI consumers.
Choose Your Starting Point
Connect an immediate protocol path, keep essential work running at the edge, or establish a governed data foundation across sites. Choose the path closest to your current operation.
Map OPC UA sources into governed MQTT topic flows for UNS, dashboards, and enterprise consumers.
Evaluate local connectivity, configured buffering, rule execution, and repeatable rollout across industrial sites.
Unify collection, operational context, storage, routing, and approved consumption on a reusable data layer.
Trusted Deployment Model
Run Proxus on-premises, in private cloud, or hybrid environments. Keep execution at the edge, preserve data through outages, and scale a governed architecture across many sites.
Choose the deployment model that fits OT and IT constraints.
Keep rules and buffering close to the process.
Maintain data continuity during WAN or broker outages.
Publish operational data without exposing inbound paths.
Reuse templates and rollout patterns across plants.
Traditional point-to-point integration leads to Operational Blindness and skyrocketing Total Cost of Ownership (TCO). Proxus replaces this fragile web with a Unified Namespace (UNS), a central data highway where all devices and apps communicate fluently.
Challenge: Managing complex multi-protocol systems and ensuring data reliability across machines and energy analyzers.
Solution: A shared operational data layer connecting heterogeneous sources with contextualization and time-series storage.
Outcome: Consolidated machine and energy data made available to monitoring and analytics workflows.
Challenge: No visibility into punch and bending machine data, making bottleneck identification and production planning difficult.
Solution: Edge-optimized deployment with robust data management, bidirectional SAP integration, and cloud connectivity.
Outcome: Live OEE and operational signals from legacy equipment became available for capacity, downtime, and energy analysis.
Challenge: Fragmented data across mining sites, vehicle fleets, and solar power generation limited consistent efficiency and cost analysis.
Solution: Unified platform supporting multi-protocol data ingestion, advanced analytics, cloud integration, and comprehensive energy monitoring.
Outcome: Equipment, fuel, production, energy, and safety signals became available through a shared operational view.
Ready to See Proxus in Your Environment?
We’ll map your current PLC, SCADA, MES, ERP, and edge landscape to a practical Proxus rollout plan, no generic demo, no theory-only pitch.
Common questions about Proxus deployment, licensing, and architecture.
Deployment time depends on site access, protocol scope, data modeling, security review, and target infrastructure. Proxus provides Docker-based deployment for supported x86 and ARM environments, with centralized configuration for repeatable gateway rollout.
Proxus supports industrial connectivity such as Siemens S7, Modbus TCP/RTU, OPC UA, MQTT, and Ethernet/IP. Protocol availability and licensing scope should be confirmed for the target version and deployment; see pricing for regional quote details.
Edge Gateways can buffer telemetry within configured local capacity and retention limits when the central connection drops. Recovery depends on outage duration, traffic volume, available storage, and the acknowledgement behavior of the target connector. Supported local rules and dashboards can continue operating when the edge workload is configured for independent execution.
Yes. Proxus has built-in IT/OT bridge integrations for SAP, HTTP/REST APIs, Kafka, AWS IoT, Azure IoT Hub, and more. Data flows outbound from the unified namespace to your enterprise systems, no inbound PLC exposure. Custom integrations can be built with our C# scripting engine.
Proxus is deployment-flexible. Run the central server on-premises, in your private cloud, or in AWS/Azure. Edge Gateways operate at the plant network edge, no cloud dependency for core operations. You control where data lives and how it moves.
No. Proxus complements existing systems. It acts as a data backbone, your SCADA, MES, and ERP subscribe to the unified namespace for real-time telemetry. You can modernize incrementally without ripping and replacing legacy investments.
Sizing depends on protocol count, tag volume, polling frequency, retention, local rules, and deployment topology. Proxus supports documented x86 and ARM deployment profiles, but high-throughput or long-retention sites should be validated against their expected workload and hardware. Review the system requirements before selecting an edge device.
