As industries race to adopt spatial computing and physical AI, they face a critical infrastructure bottleneck: high-fidelity 3D assets are simply too heavy to stream efficiently. Greneta, a deep-tech startup specialising in 3D infrastructure, has announced the global launch of Greneta Optimizer 2.0 at CES 2026. This solution reduces 3D data size by up to 99.6% while preserving the geometric precision required for industrial and medical applications.
While traditional compression tools often degrade visual quality – acting like the ‘MP3 of 3D’ – Greneta claims its solution maintains professional-grade fidelity. This technological achievement has been recognised by the Consumer Technology Association (CTA), which named Greneta a CES 2026 Innovation Award Honoree in the Content & Entertainment category.
Bridging the Gap for the metaverse
“The era of waiting for 3D files to load is over,” said Tae Woong Kim, CEO of Greneta. “Whether it is a digital twin of a factory or a training simulation for robotics, data weight is the enemy of scale. Optimizer 2.0 removes that friction instantly.”
Key capabilities include compressing Gigabyte-scale CAD and LiDAR scans into Megabytes in seconds, enabling real-time streaming on mobile XR devices. Using AI-Driven Restoration, Optimizer 2.0 can automatically repair mesh errors and holes common in 3D scans; a critical feature for establishing ‘Physical AI’ environments.
Greneta is a member of Nvidia Inception, a program that nurtures startups revolutionising industries with technological advancements. The Korean company promises seamless integration with major platforms for enterprise compatibility including Unreal Engine, Unity and Nvidia Omniverse via plugin architecture.
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Steve is an award-winning editor and copywriter with more than 20 years’ experience specialising in consumer technology and video games. With a career spanning from the first PlayStation to the latest in VR, he's proud to be a lifelong gamer.
