# Zibra AI

**Canonical:** https://apis.io/providers/zibra-ai/  
**Website:** https://zibra.ai  
**APIs profiled:** 0

Zibra AI is a Ukrainian deep-tech company building AI-powered real-time volumetric rendering and compression technology for VFX, gaming, virtual production, film, and TV. Its flagship product, ZibraVDB, compresses OpenVDB volumetric datasets to roughly five percent of their original size while preserving visual quality, enabling real-time playback of smoke, fire, fog, and other volumetric effects. Zibra ships a native C++ ZibraVDB SDK (DirectX 12, Vulkan, and Metal on Windows, Linux, and macOS) alongside plugins for Unreal Engine, Houdini, and Unity, with Blender support in progress. It exposes no public REST/HTTP API; integration is through the SDK and digital-content-creation plugins. Surfaced as an a16z portfolio company and added to the API Evangelist network.

## Kin Score — 15.3 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 15.3).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 14.3 |
| Commercial Clarity | 31.6 |
| Access Clarity | 31.6 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Zibra Ai Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Volumetric, VFX, 3D Graphics, Game Development, Real-Time Rendering, Compression, SDK, OpenVDB, Unreal Engine, Houdini

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/zibra-ai/). Scores are computed from the provider's own public artifacts under a published rubric.