Cybever is a
Leading platform in AI-driven
3D world creation.

At Cybever, we harness the power of AI to push the boundaries of 3D and video generation. Our advanced technology empowers creators, developers, and businesses to effortlessly generate high-quality 3D content and videos, significantly reducing production time and cost.

Cybever’s journey began with a core mission: to empower professionals by building the tools that bridge creative vision and production reality. We began by automating 3D world-building with an unwavering focus on quality, scalability, and workflow integration. Today, that expertise forms the backbone of our end-to-end video production pipeline, delivering the deterministic control and consistency required for high-stakes professional projects.Cybever’s journey began with a core mission: to simplify 3D creation and unlock new creative possibilities through AI. Over time, we’ve expanded our capabilities from procedural 3D generation to full video production, forming a seamless pipeline that empowers creators across industries.

‍2022 – Traditional 3D Studio 
‍
We started by addressing a core industry pain point: traditional 3D production workflows were slow, expensive, and heavily reliant on manual asset creation and scene assembly. This challenge became our mission—to build the next generation of content creation tools.

‍2023 – 3D-PCG Automation 
‍
We took our first step toward automation by introducing agent-based Procedural Content Generation (PCG). This not only allowed us to automate large-scale 3D scene creation but, more importantly, enabled us to begin systematically building our proprietary "Visual Truth" database—the foundational data for all our future AI development.

‍2024 – Layout & 3D-EnGen 
‍
An effective layout is critical for professional use, ensuring scenes are not only visually appealing but also functional and narratively sound. To achieve this, our AI created a 'Spatial Intelligence Knowledge Graph' to master the rules of object placement. We then launched 3D-EnGen, which integrates portion of this advanced layout intelligence. Combined with partial PCG automation, it provides a production-ready tool for creating high-quality, editable scenes with a new level of contextual awareness in Unreal Engine and Unity.Our AI evolved from automation to intelligence. By learning from our massive data repository, our AI mastered the principles of scene design, creating a "Spatial Intelligence Knowledge Graph." We combined this AI-based layout capability with partial PCG automation to launch 3D-EnGen, our tool for rapidly creating high-quality, editable scenes in Unreal Engine and Unity.

‍2025 – Previz to Video Generation 
‍
We are entering the next era of AI filmmaking with our groundbreaking "Previz-to-Video" workflow. This process turns 3D previsualization into cinematic-quality video by using structured 3D scenes as a controllable "skeleton" for perfect consistency, then applying a photorealistic "skin" using AI. This "skeleton-plus-skin" model solves the core challenges of control and consistency, making AI video ready for professional production.Our evolution reflects our core belief: AI should enhance—not replace—creative work. And by starting with structure (3D), we’ve made video generation controllable, scalable, and ready for professional use.

Generative AI has demonstrated tremendous potential in both 3D creation and video production. However, significant challenges remain when it comes to meeting professional standards. In the 3D domain, current AI tools offer speed and convenience but fall short in terms of quality, interactivity, and integration with professional workflows. Similarly, AI-generated videos, although cost-effective, often suffer from poor consistency and lack fine-grained creative control, making them unsuitable for high-end production environments.We believe 3D is the key to solving both consistency and controllability in video generation.

At Cybever, we’ve developed a structured approach that begins with 3D as the foundation:

‍For environments and scenes, we begin with image-guided 3D layout generation, followed by controllable camera movement within the 3D space, and finally apply video-to-video translation to ensure spatial and visual consistency throughout the entire sequence.

For character and environment interaction, we build previsualizations (previz) in 3D, and then apply video-to-video (v2v) techniques to generate high-quality cinematic footage with grounded structure and interaction.

For physics-driven scenarios (e.g., collisions, explosions, fluid dynamics), we use procedural simulations in Houdini to generate realistic effects and ensure alignment with real-world physics. These PCG-based simulations provide structured, physically plausible motion data, which we feed into our video-to-video generation pipeline to maintain realism and coherence in the final video output.

For human-centric realism and control, we’ve also developed a range of 3D-based AI models focused on solving challenges around human expression, performance, and interaction.What makes us uniquely capable of this approach is our end-to-end integration of AI-driven layout intelligence, real-time editing tools, and compatibility with industry-standard pipelines. We don’t aim to replace professional tools, but to enhance them—offering creators a way to automate structure, accelerate iteration, and focus on storytelling, without sacrificing control or quality.We also place strong emphasis on ethics and co-creation. Our goal is not to replace human creativity, but to empower it. Both filmmaking and game development face similar challenges: high cost, high risk, and long iteration cycles. By lowering the barriers to production and enabling faster feedback loops, we help creators explore ideas more freely and realize their visions with less friction.