Quuppa ads

The moment a digital model starts reflecting what is actually happening, it becomes much more than a model. This short demo at the Autodesk Technology Centre shows Quuppa real-time location data on top of Autodesk Tandem: people, vehicles and tagged assets moving through the physical environment, with their positions continuously reflected in the digital one. A digital model can describe the designed environment, but for operational use, a model with no connection to the current real-world state risks becoming an academic exercise. Real-world location data closes that gap. It can help digital twins support operational decisions today, while feeding actual behaviour back into simulation and design, completing the loop. You can’t steer physical operations from a digital model that doesn’t know what is actually happening. #Autodesk #AutodeskOperations #DigitalTwins #RTLS #Quuppa

The forklift has moved. Does your digital twin know? At Autodesk University, Quuppa and Autodesk demonstrated how real-time location data brings the movement of tools and assets into Autodesk Tandem Viewer. That connection helps answer everyday operational questions: where is the equipment, what’s in this area, and how did it get there? It also provides a basis for understanding movement patterns and improving how space and assets are used. In this video, Autodesk’s Donny Wong and our CEO, Fabio Belloni, explore applications ranging from finding tools to inventory and asset management. Fabio also explains why a hockey puck travelling at 100 mph is a useful starting point for the conversation. Thank you to Donny, Maks Nowak and the Autodesk team for the collaboration. #Autodesk #AutodeskOperations #Quuppa #RTLS #DigitalTwins

Firefighting is a visibility problem. Firefighting is often framed as a cultural or organisational issue. In many industrial environments, it is a direct consequence of insufficient visibility into day-to-day operations. This article explains why teams react instead of improve and what needs to change.

When systems lose touch with reality. Enterprise systems are designed to model processes and track transactions, not to observe physical reality continuously. As a result, organisations manage based on assumptions rather than facts. This article examines the consequences of this data-reality gap and why it matters more than most organisations realise.

Why AI struggles in industrial operations. AI and automation depend on accurate, continuous data describing real-world events in operations. When this data is incomplete or disconnected from reality, algorithms amplify assumptions instead of insight. This article explains why many AI initiatives struggle at the data foundation level.

Where does industrial inefficiency really come from? A single failure rarely causes industrial inefficiency. It emerges when minor deviations accumulate because they are not visible to systems. When this happens, organisations adapt rather than improve. This article explains why this pattern repeats across industries and why visibility is a structural issue, not a behavioural one.