Most factories struggle with scattered PLC tags, siloed historians, and fragile point-to-point integrations. Proxus turns your plant into a single, real-time data fabric—connecting devices, edge gateways, and business systems into one unified Industrial IoT platform.
Unified data fabric that collects, validates, processes, stores, monitors, and delivers live industrial telemetry between edge assets, the unified namespace, and your IT/OT systems.
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Proxus provides a unified industrial data layer that stays flexible as your operations scale—open, modular, and built for long-term interoperability.
The single source of truth. Break data silos with event-driven architecture.
Connect 50+ industrial protocols without per-driver licenses or fragile integrations.
Process data at the source with ultra-low latency. Offline-first logic.
Bridge OT signals to ERP, MES, and cloud systems with a secure, consistent data model.
Visual logic builder. Automate alarms and workflows without code.
Full .NET power at the edge. Write custom logic when low-code isn't enough.
Detect anomalies and predict failures in real-time with embedded models.
Real-time dashboards and HMIs powered by the same UNS data model.
Store, query, and retain high-frequency telemetry with tiered policies.
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.
Why wait months for deployment? Spin up a full instance in minutes with Docker. Need custom logic? Use our built-in C# editor to write high-performance scripts directly at the edge.
Challenge: Managing complex multi-protocol systems and ensuring data reliability across machines and energy analyzers.
Solution: Unified platform with 50+ connectors, 2-week rapid deployment, and high-performance time-series database.
Results: 99.9% data reliability, 10+ protocols unified, and seamless integration for advanced analytics.
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.
Results: Real-time OEE from legacy equipment, improved capacity planning, reduced unplanned downtime, and energy optimization.
Challenge: Fragmented data across mining sites, vehicle fleets, and solar power generation made efficiency tracking and cost control nearly impossible.
Solution: Unified platform supporting multi-protocol data ingestion, advanced analytics, cloud integration, and comprehensive energy monitoring.
Results: Real-time visibility into equipment, fuel consumption, production metrics, energy usage, and safety—eliminating inefficiencies and reducing operational costs.
format_quote "After months with a MING stack on a large distributed project, I was skeptical. In the PoC, Proxus solved in minutes what had taken us months. Hands down, the best price/performance IIoT platform I’ve seen."
format_quote "Across 15+ processing plants and 150+ fleet vehicles, we needed the right data to improve efficiency and cut costs. Proxus let us collect data from all sites and assets, then make real-time decisions with advanced analytics and cloud integration."
format_quote "In industrial digital transformation projects, collecting continuous and reliable data from different sources such as machines, data centers, and energy analyzers is among the main challenges. Proxus provided a comprehensive data management infrastructure to address this need with its wide protocol support and high performance."
Deep dives into IIoT architecture, Unified Namespace patterns, and the future of industrial edge computing.
A manufacturing-focused guide to ISO 50001 energy management. Learn how to build an energy baseline, define EnPIs, identify significant energy uses, and automate monitoring and compliance with Proxus.
A 2000-word masterclass on implementing real-time OEE. Learn how to capture micro-stops, handle complex state machines at the edge, and kill the 'Excel Factory' using Proxus.
A comprehensive guide to implementing Unified Namespace (UNS) architecture in manufacturing. Learn how to break data silos, leverage MQTT, and build a scalable IIoT infrastructure with Proxus.
Common questions about Proxus deployment, licensing, and architecture.
With Docker, you can spin up a Proxus instance in minutes on any x86 or ARM hardware (edge gateways, on-prem servers, cloud VMs). Pre-built images include all drivers and integrations. Configuration is centralized—deploy once, scale to hundreds of gateways without rebuilding.
No. Proxus includes 50+ industrial protocols out of the box—Siemens S7, Modbus TCP/RTU, OPC UA, MQTT, Ethernet/IP, and more. Licensing scales by device and tag capacity; there are no per-driver or per-protocol fees. See pricing for details.
Edge Gateways buffer all telemetry locally using the internal messaging backbone when the central connection drops. Once the link is restored, data replays in order automatically—zero data loss. Critical rules and local dashboards continue running at the edge during outages.
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.
Any modern x86 or ARM device works—industrial PCs, Raspberry Pi 4+, mini PCs, or ruggedized edge computers. Minimum: 2GB RAM, 10GB storage. For high-throughput lines (1000+ tags/sec), use 4GB+ RAM. Gateways are stateless, so if one fails, replace and redeploy in minutes.
