Platform
Decision Intelligence Platform for Physical Assets
Information about physical assets is often distributed across SCADA systems, BIM/IFC models, technical documentation and maintenance systems. This fragmentation makes it difficult to integrate different information sources to support operational and maintenance decisions, while maintaining traceability of the data and criteria used.
QORUM is a decision intelligence platform for physical assets that integrates industrial data, semantic knowledge, and analytical and probabilistic models to support reliability assessment, maintenance planning, and traceable, explainable operational decision-making. Its architecture is designed to complement existing CMMS solutions.
Three documented architectural components. They describe the platform's architecture; they do not establish its operational deployment.
Layer 1
Data Foundation & Knowledge Graph
Layer 2
Algorithmic Intelligence
Layer 3
Perception & User Interface
Five steps, each carried by one layer. A reviewed architectural synthesis, not a description of operations.
Ingest asset, BIM/IFC, SCADA and industrial data into a layered data lake.
Structure it as a knowledge graph, queried with SPARQL and validated with SHACL.
Analyse it with reliability and probabilistic models.
Recommend maintenance and operational plans, with traceability and explanation.
Act through dashboards, 3D/BIM views and work-order management.
Technology names only, grouped by layer.
Recorded on the QORUM v1.0 development project. It describes leadership of that project; it does not attribute the implementation of any individual component.
March 2026 – December 2026
Leads product-oriented R&D and specialist teams: scope, architecture, a catalogue of 118 use cases, delivery priorities and acceptance criteria, with technical governance over CI/CD, Docker/Kubernetes on AKS, microservices and REST APIs.