Six Layer Architecture
Six operational layers connected by a cross-cutting coordination fabric. Select any layer — or the Layer 0 fabric itself — to explore how UFIS coordinates intelligence across the entire architecture.
Layer 6 is the presentation and intelligence-consumption layer of UFIS. It delivers coordinated intelligence to people, applications, autonomous agents and connected systems through executive dashboards, operational workspaces, mobile applications, natural-language queries, AI copilots, alerts, reports, visualisations, simulation interfaces, APIs and automated decision experiences.
Layer 6 presents governed intelligence produced by the underlying UFIS architecture. It is not intended to operate as the platform's primary storage environment or system of record.
The information displayed at Layer 6 should be tailored according to the user's role, authority, operational context and permitted level of access.
One architecture. Six operational layers. One coordination fabric.
UFIS converts measurable change into governed operational intelligence.
Layer 3 connects participating external systems.
The Unified Signal Object creates a common intelligence representation.
Layers 2 through 5 organise, contextualise, analyse and predict operational conditions.
Layer 6 presents intelligence to users, applications and autonomous services.
Layer 1 protects identity, access, trust, security and governance.
Layer 0 connects the complete architecture by moving signals, intelligence outputs, governance instructions, workflow states and outcomes between every participating component.
UFIS is not another dashboard, database or ordinary integration platform. It is a coordination architecture designed to enable independent systems to understand and act upon their wider operational environment.
A signal enters through Layer 3, is routed through the Layer 0 fabric, processed across the architecture, presented at Layer 6 and returned as a governed outcome event.
UFIS does not rely on a single database technology. Operational intelligence requires many different data characteristics — high-frequency sensor readings, structured transactional records, unstructured documents, imagery, relationship structures, semantic representations and historical operational memory. UFIS therefore adopts a polyglot storage architecture in which each type of information is retained in the storage service most appropriate for it.
The Unified Signal Object provides a consistent intelligence representation across all of these storage services, allowing UFIS to coordinate information without forcing every form of data into a single technology. The architectural contribution of UFIS is not the choice of any individual storage technology, but the coordinated intelligence layer that unifies them into one governed operational model.
UFIS does not depend upon a single analytical technique. Predictive intelligence is delivered through a coordinated framework of complementary model categories, each selected according to the operational question, the available data and the governance requirements of the decision.
Establish what is currently happening across connected operations.
Model categories operate together within one governed intelligence workflow rather than as isolated analytics tools.
External meteorological services indicate a significant rainfall event approaching an open-pit mining operation. The forecast enters UFIS as an external data signal.
This scenario is illustrative and describes the coordination sequence rather than results from a specific deployment.