Software silos, grey-area workarounds, and contaminated data exist in every sector with complex operations. We've worked across manufacturing, mining, FMCG, and logistics.
The underlying architecture is the same — a UNS connecting systems. The specifics of what connects and why vary by industry.
Multi-plant operations where ERP, MES, SCADA, and planning tools all speak different languages. Production scheduling, quality management, and demand reconciliation all suffer when systems don't connect. The UNS bridges the ISA-95 stack from Level 0 sensors to Level 4 business planning.
Remote operations, legacy control systems, and massive data volumes from sensors and historians. The challenge is getting clean, contextualised data from pit to port — connecting extraction, processing, logistics, and commercial in a single namespace.
Fast-moving demand, multi-regional planning, and the constant tension between sales forecasts and production reality. This is where variable contamination is most destructive — demand data layered with corrections makes accurate forecasting impossible without cleaning the signal first.
Complex multi-modal networks where warehouse management, transport management, route optimisation, and order fulfilment systems need real-time coordination. The grey area between these systems is where delays, errors, and cost overruns live.
Every organisation with more than a few software systems has grey area between them. The labels change — demand planning in FMCG, production scheduling in manufacturing, pit-to-port in mining — but the architecture that solves it is the same: a Unified Namespace with clean data at its core.