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AI-Native Infrastructure for Spatial AI
Zibra sits at the intersection of spatial computing and AI infrastructure. Our compression-native infrastructure serves as an enabling layer for training directly on large-scale 3D data - exactly the kind of infrastructure required for next-generation AI systems across multiple verticals. Our GPU-native, PyTorch-integrated compression technology is purpose-built for massive 3D datasets. It achieves up to 100X compression while supporting real-time decompression at 600+ GB/s, significantly improving GPU utilization, training throughput, and model convergence in spatial-AI and simulation-heavy domains such as robotics, autonomous systems, aerospace, digital twins, and climate modeling. By removing low-signal and redundant data, our compression accelerates training: we see >12% faster model convergence in vertical scaling setups on a single GPU and >30% improvements on multi-GPU and distributed clusters. In addition, our instant decompression drives GPU utilization up to ~95%.
Zibra AI offers real-time volumetric rendering and compression technologies for VFX, gaming, virtual production, and related workflows. Their ZibraVDB product enables real-time VDB compression and decompression to deliver high-quality volumetrics with reduced storage and bandwidth requirements, integrated across Unreal Engine, Houdini, Blender, and other tools.
ZibraVDB provides real-time volumetric rendering and compression for VFX, gaming, and virtual production. It shrinks OpenVDB assets into a ZibraVDB format, enabling real-time decompression and rendering with drag-and-drop setup in Unreal Engine, and SDK integrations for custom engines/pipelines. It emphasizes smaller asset sizes (compression rates demonstrated) while preserving visual fidelity, supports multiple platforms (DirectX 12, Vulkan, Metal), and offers a plugin/SKD ecosystem (for Unreal, Houdini, Blender, Gaffer) and on-set/production use cases with 3D reconstruction, texture generation, and various Zibra tools for liquids, smoke, and fire.
Who itβs for: Production studios, visual effects houses, real-time game developers, and virtual production teams that need real-time volumetric effects with reduced storage/bandwidth and seamless integration into Unreal Engine, Houdini, Blender, and other pipelines.
Pricing pages and multiple product integrations; presence of free trial, book demos, partnerships, and various platform integrations indicate traction and growing adoption.

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