Miris and Cavrnus bringing high-fidelity 3D streaming into Cavrnus collaboration environments
Miris is integrating its 3D spatial streaming layer with Cavrnus, a platform designed to turn 3D applications and digital twin environments into persistent, multi-user collaborative spaces. The integration brings high-fidelity streaming into the collaborative environment directly, so teams can review, annotate, and iterate on 3D assets together inside a shared space rather than relying on […]
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Miris is integrating its 3D spatial streaming layer with Cavrnus, a platform designed to turn 3D applications and digital twin environments into persistent, multi-user collaborative spaces. The integration brings high-fidelity streaming into the collaborative environment directly, so teams can review, annotate, and iterate on 3D assets together inside a shared space rather than relying on flattened proxies or disconnected tools.
Cavrnus provides the collaborative environment (persistent session state, multi-user presence, voice and video, synchronized objects), and Miris provides the streaming layer that delivers the actual asset into that environment. Together, they eliminate the tradeoff between presence and fidelity, addressing the two things that have historically made high-fidelity collaborative 3D review difficult: getting the right people into the same environment, and getting the real asset into that environment with them.
A more direct path to 3D collaboration
The Cavrnus and Miris integration is relevant anywhere that 3D content is reviewed collaboratively and fidelity matters to the decision being made. Design review is the clearest use case: product, industrial, and architectural teams reviewing models before fabrication, client presentation, or production sign-off. Digital twin walkthroughs are a close second: distributed teams navigating facility models or infrastructure datasets together, where the ability to inspect actual captured detail (not a simplified stand-in) changes the quality of decisions made in the field. Training workflows are another: reviewing procedural simulations or spatial environments with participants who may be distributed across locations and devices.
In each of these cases, the current workaround is some combination of local GPU sessions, simplified exports, and screen sharing. The common limitation is the same: the asset the team reviews is not the asset that ships or gets built.
Learn more
Cavrnus support for Miris is in development. For details on the integration, including a sample workflow, check out the Miris blog.
Miris Public Beta is free and available now. Miris accepts OpenUSD, images, and video, with SDK support for three.js and Unity. Create a Cavrnus account to get started with their collaborative environment and receive access when the integration launches.