The Pulse of mcube™ September 2026
Discover What’s New in mcube™
Welcome to the mcube™ Monthly Newsletter, featuring mcube™ 5.5 in action, the latest platform overview, and new resources from across the mcube™ ecosystem.
Editorial
The conversation around Agentic AI is changing. Enterprises are no longer looking only at what individual models or agents can do. The more important question is how these capabilities can operate within the controls, context, and processes of the enterprise.
mcube™ 5.5 has been developed with this requirement in mind. The release advances the platform across governance, multi-agent orchestration, agent lifecycle management, semantic context, data engineering, and application development. At the center is the new Agentic Plane, providing governed access to approved models, agents, and tools.
Our September edition looks at the release through the applications demonstrated during the mcube™ 5.5 Launch Webinar, and the mcube™ 5.5 brochure, which provides a consolidated view of the platform and its architecture.
Andreas Diggelmann
Chief Product Officer, TCG Digital
Spotlight: Agentic AI in Action | Two Live Demos, Two Industries, One Platform
The mcube™ 5.5 Launch Webinar showed what enterprise Agentic AI looks like when applied to high-value, complex workflows.
01. Predict failure before it becomes downtime.
For critical industrial power transformers, mcube™ connected diagnostic reports, live operational data, and maintenance history to surface emerging risk, explain what was driving it, and guide the next action.
02. Turn fragmented R&D knowledge into contextualized scientific reports.
For R&D, specialized agents worked with a semantic knowledge layer to extract and connect scientific information and generate contextualized reports, reducing report-generation time and effort by 90%+ in the demonstrated use case.
24 September 2026 | 10:00–10:45 AM ET
Both demonstrations put the core priorities into practice: governance, orchestration, and enterprise scale.
Brochure | Inside mcube™ 5.5 | From Platform to Real-World Applications
What does it take to move Agentic AI from individual use cases to real enterprise operations?
The mcube™ 5.5 brochure gives a clear view of how the platform connects enterprise data, business context and AI, with the governance and orchestration needed to put agents to work across complex workflows.
Beyond the technology, see how these capabilities come together across plant operations and maintenance, petrochemical R&D, and airline disruption management, with practical examples of how mcube™ is applied to industry challenges.
Pro Tip: Blueprint Your Construction Data Model Graphically
Discover how to use the SemantX Data Model Graph to visually map your business ontology; no coding required.
With the Data Model Graph, you can build your model directly on the canvas. Simply right-click to create Element Types such as Project (e.g., Offshore Wind Farm) or Risk, then connect them by drawing Relation Classes such as Equipment failure risk delays turbine delivery.
The Data Model Graph is more than a static diagram. It is an interactive modelling environment where you can create objects, drag them into position, connect them, and edit them directly on the canvas.
Once your business data model is established, corporate engineering data can be imported and transformed into a semantic layer. This provides the foundation for agentic AI to perform value-adding tasks, from monitoring project risks and tracking emissions to certifying and inspecting products.
In upcoming mcube™ Newsletters, we’ll take the next step and show you how to use the Import Table Wizard and Advanced Query Builder to turn your semantic model into actionable insights, for example:
”Show all offshore wind projects where turbine deliveries are delayed by more than 30 days.”
Resources & Support
Explore more about how our customers have used mcube™ to transform their businesses.
- Visit our Resource Center
- tcgmcube.news@tcgdigital.com for assistance.