Dreamlands for Game Development, Film, and Synthetic Data

We built Dreamlands because 3D content creation is broken. Not the art—the process. The months of iteration, the communication gaps, the restarted projects. Every industry that relies on 3D environments hits the same walls.

Here's how Dreamlands is being used across different industries today.

Game Development

This is where I come from. Over a decade at Ubisoft, Unity, and Rainbow Studios taught me one thing: the iteration cycle kills projects.

A creative director has a vision. The team spends 3-6 months building it out. Everyone looks at it and realizes it's not right. Start over. I've watched this happen more times than I can count.

What Dreamlands changes:

• Rapid prototyping - Test level concepts in minutes, not months. Describe your vision, walk through it, iterate until it's right—before committing a full team.
• Pre-production exploration - Explore 50 variations of a level layout in an afternoon instead of picking one and hoping for the best.
• Asset population - Generate and place thousands of contextually appropriate assets automatically. Streets get buildings, forests get trees, cities get infrastructure.
• Playable output - Every generated world is immediately walkable. No waiting for builds, no viewer-only previews.

AAA and AA studios are already using Dreamlands in production through Google Cloud Marketplace. The studios we work with have cut their environment prototyping time dramatically.

Film and Television

Film and TV productions need 3D environments for LED walls, virtual sets, previz, and CGI — but building them from scratch is expensive and slow.

What Dreamlands changes:

• Full environment generation - Describe a location and get thousands of stylistically coherent 3D meshes, automatically placed into a complete world. Period piece set in 1920s Paris? A sci-fi cityscape? Minutes, not weeks.
• Virtual production ready - Generated worlds import directly into your rendering pipeline for LED walls, virtual sets, and previz.
• Rapid iteration - "What if the city was more rundown?" "What if the buildings were taller?" Regenerate and compare instantly.

Synthetic Data and AI Training

Training computer vision models requires massive amounts of diverse, labeled 3D data. Creating this data manually is one of the biggest bottlenecks in AI development.

What Dreamlands changes:

• Unlimited variation - Generate millions of environment variations with different layouts, asset configurations, and conditions. No two scenes are the same.
• Perfect ground truth - Every generated scene comes with precise spatial data. No manual labeling required.
• Edge case coverage - Need rare scenarios? Specific configurations? Generate them on demand instead of waiting for the real world to cooperate.
• Scale - Generate training data at volumes that would be impossible with manual creation or real-world capture.

User-Generated Content Platforms

UGC platforms are powered by creator tools. The easier those tools are, the more content gets created, and the more valuable the platform becomes.

What Dreamlands changes:

• Zero learning curve - If you can describe what you want, you can create it. No 3D modeling skills, no tutorials, no learning curve.
• Quality floor - Every generated world meets a quality baseline. Even first-time creators produce polished results.
• Engagement - When creation is fast and fun, creators make more content. More content means more engagement.

Getting Started

Dreamlands is available now on Google Cloud Marketplace for enterprise teams. For indie creators and smaller studios, we're launching a subscription plan soon—join the waitlist.

Have a specific use case in mind? Talk to us. We love hearing about weird and ambitious projects.

Want to see Dreamlands in action? Watch our launch trailer.