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The data layer for physical reality and virtual worlds

The next generation of computing is becoming spatial.

AI is learning to understand the physical world, while digital experiences are becoming richer, more dynamic, and more simulation-driven. Zibra builds the data layer that makes this possible.

■ The problem

Spatial data is outgrowing the infrastructure built to carry it

[01] Problem

3D and 4D datasets are 1,000–10,000× larger than conventional media, turning storage, transfer, and processing into a fundamental infrastructure challenge.

[02] Enabling layer

Compression is the enabling layer

Zibra builds the GPU-native data layer that makes spatial data practical at scale. Zibra's core technology keeps complex 3D and 4D data compact, streamable, and directly usable by GPU applications.

Smaller data means faster workflows, lower infrastructure costs, and entirely new real-time use cases.

■ Physical reality

Data layer for physical reality

Physics AI is emerging as a new foundation for industrial computing, enabling machines to learn how real physical systems behave across fluids, structures, materials, motion, and interaction.

ZibraXYZ removes the data bottleneck.

ZibraXYZ provides the data layer for this transition, making massive simulation and sensor datasets faster to store, move, visualize, and feed into AI workflows.

Explore ZibraXYZ →
■ Virtual worlds

Data layer for virtual worlds

Virtual worlds are becoming richer, more dynamic, and more simulation-driven. High-quality volumetric effects and animated geometry are increasingly limited by the cost of storing, moving, and playing back the underlying data.

ZibraVDB and ZibraGDS remove that constraint.

Our technology enables studios and real-time creators to use more complex 3D content, move it through production faster, and bring simulation-quality assets into interactive experiences that were previously impractical.

■ ZibraXYZ series

Explore the new ZibraXYZ series

unstructured mesh · cut into pages by regionone page decoded · the rest stay compressed

ZibraXYZ: accelerating scientific data access by 100×

How compression, selective network access and GPU decompression change the way we work with simulation data.

Read more →
time-varying dataset · one frame per timestept = 0 ready · later frames still arriving

Post-processing simulation datasets of arbitrary size in ParaView

Interactive dataset network streaming: eliminate the wait between a completed simulation and post-processing insights.

Read more →
mesh dataset · connectivity not fetchedpoints read · a sampled batch

Beyond the Data Bottleneck: Physics AI Training with Compressed Data Streaming

Training on compressed data streams to reduce bottlenecks in data staging, preprocessing and loading.

Read more →
■ Products

Three products, one compression core

Licensed to studios and engineering teams today.

■ Customers

Trusted by leading enterprises worldwide

Tencent logo
SideFX logo
Dimension logo
China Steel Corporation logo
DNEG logo
Shift Up logo
Hochschule der Medien logo
Dark Slope logo
ArtFX logo
Stray logo
Mathematic logo
OF3D logo
RedRaion logo
Silent Partners Studio logo
Apog Labs logo
Lionheart Studio logo
HyperBowl logo
ILCA logo
DIGIC logo
Animationsinstitut logo
Sequence logo
EDGLRD logo
iWot logo
VCAMCO logo

Backed by

a16z logo
Hartmann Capital logo
New Renaissance Ventures logo
MetaVision logo
Vesna Capital logo
SID Venture Partners logo
1991 Ventures logo
MA7 Ventures logo

Supported by

a16z speedrun logo
Google for Startups logo
NVIDIA Inception Program logo
Epic MegaGrants Recipient logo
UK Ukraine TechBridge logo
Deel logo

Recognised by the industry

We take part in the biggest industry events every year, where our work has been recognised with the VDS Growth Stage award in 2025, a live demo at SIGGRAPH Real-Time Live!, an Epic MegaGrant and a Google for Startups grant.

  • SIGGRAPH
  • GDC
  • SXSW
  • GamesBeat NEXT
  • VDS Valencia
■ In the press
■ About

Built by engineers who shipped this problem before

Our core team comes from AMD, Ubisoft, Nokia, Gameloft, Blackwood Games, Pingle and Arcadiium, where they worked on rendering, simulation and large-scale data infrastructure.

2021
founded
15
engineers
■ Core team

Inside Zibra

the studio, the events, the work
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