According to a recent LinkedIn post from Miris, the company used the NVIDIA GTC event to demonstrate browser-based streaming of an engineering-grade digital twin of a full jet engine assembly. The post describes delivering a 1GB-plus asset that loads in under a second, with visual fidelity that refines as users interact, and without requiring software installation or specialized hardware.
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The company’s LinkedIn post highlights a technical approach that could lower barriers to adoption for digital twins and 3D engineering content by shifting heavy processing off end-user devices. For investors, this suggests Miris may be positioning its technology within high-value industrial and aerospace workflows, potentially expanding its addressable market in 3D streaming, spatial computing, and digital twin infrastructure.
The post suggests that compatibility with standard browsers and simple URL-based access could make collaboration and sharing of complex engineering assets more scalable across organizations. If this streaming model gains traction with enterprise customers, it could enhance Miris’s strategic relevance in ecosystems around NVIDIA and other partners, potentially supporting future revenue from software, platform, or integration services in advanced visualization and Physical AI use cases.

