Industrial Data Platform
for OT and IT Teams
Proxus gives you an industrial data platform that collects from plant-floor assets, normalizes operational context, stores history, and routes governed data to dashboards, enterprise systems, and AI workflows without rebuilding the stack for every new consumer.
What an industrial data platform should solve
Most organizations do not have a lack of data. They have a lack of structure, ownership, and reusable delivery patterns. An industrial data platform should turn fragmented tags, historians, and point integrations into one governed operating layer that both OT and IT can trust.
- hub Collect once from PLCs, sensors, meters, and industrial systems.
- schema Normalize context into a stable model, not raw device-specific paths.
- sync_alt Route anywhere to dashboards, storage, MES, ERP, APIs, and AI consumers.
Core platform layers
One flow from asset to business system
The platform becomes valuable when new consumers do not require a fresh integration project. Proxus organizes the flow so every new dashboard, report, data export, or AI use case builds on the same foundation.
Acquire data from OT systems with edge-local resilience and protocol coverage.
Map raw signals into an operational hierarchy with stable naming and ownership.
Store live and historical context for trend analysis, compliance, and advanced analytics.
Serve dashboards, IT systems, data exports, and AI workflows from the same governed layer.
Designed for both OT and IT ownership
OT teams need trustworthy plant context and resilient collection. IT teams need stable data contracts, routing patterns, and controlled access. Proxus gives both sides a shared platform without forcing every requirement into the same tool.
Protect field connectivity, keep execution close to the process, and expose data without opening inbound control paths.
Consume governed operational data through stable topics, connectors, APIs, and storage layers instead of custom driver logic.
High-value outcomes
- Real-time operations dashboards with historical context
- MES and ERP exports without duplicating OT integration work
- Energy, quality, and downtime analytics from one model
- Long-term retention through industrial storage
- Secure fan-out through IT/OT integration flows
FAQ
Questions teams ask when evaluating an industrial data platform for real-world operations.
No. A historian is one component. The broader platform covers collection, normalization, routing, storage, dashboards, and downstream consumers.
No. The platform sits between OT data sources and data consumers so legacy systems can stay in place while new use cases are added incrementally.
Yes. That is the point of the shared model. Dashboards, storage, and enterprise connectors all build on the same governed data layer.