Instruments & Meters

Cintoo Launches Workspace for Guided Digital Twin Reviews

The Unreal Engine-based application lets distributed teams inspect scan-derived digital twins together on desktop, VR or immersive displays.

Petra DahlbergOctober 18, 20265 min read13 views

A conceptual 16:9 illustration shows distributed team members, represented by abstract avatars, reviewing a scan-derived digital twin of an industrial site on desktop, VR and immersive displays.

Cintoo has launched Cintoo Workspace, a collaborative environment for reviewing digital twins generated from real-world scan data. The company says the application is cloud-connected to the Cintoo platform and built on Unreal Engine, allowing project teams to meet inside high-fidelity representations of a site rather than relying on screen-shared walkthroughs or unstructured 3D meetings.

Workspace supports participation from a desktop, a VR headset or an immersive room. It works with scan data captured by terrestrial and mobile scanners, 360-degree cameras and drones, and can combine that reality data with BIM or CAD models. This lets teams inspect the site as captured and compare existing conditions with the design model.

The product’s guided collaboration is intended to reproduce the structure of a site walk. One person leads the review, while participants can choose to follow the leader and still explore independently. When an item needs attention, the leader can bring the group to a specific location. Role indicators, avatars and a radar help users stay oriented.

Shared annotations, measurements and issue features allow decisions and observations to be recorded inside the digital twin. Cintoo positions these functions as a way to reduce follow-up emails, separate meetings and costly site visits, though the company’s claims about faster decisions are its own.

Dace Campbell, Cintoo’s product and business manager for XR and metaverse, said that occupying the same 3D space is not the same as collaborating. He argued that remote reviews need a site-walk structure in which a leader guides the group, participants can break away to check details and everyone can regroup to discuss findings in real scan data on their preferred device.