Key results
The company
Mago
mago.studioAI video style transfer and transformation platform for creators.
Result highlights
- Stylization success rate increased from 71% to 93%
The story
A video platform enables professional animators to transform live-action footage into stylized aesthetics, serving a market where traditional production costs hundreds of thousands of dollars per minute.
The company's previous infrastructure struggled to secure high-VRAM GPUs, limiting the ability to produce the high-resolution, long-duration renders demanded by VFX artists. This hardware constraint prevented the platform from delivering professional-grade frame consistency.
Mago migrated its architecture to Compute Engine with A100 GPUs to guarantee access to memory-intensive hardware. The team integrated Gemini to analyze source footage and generate detailed text prompts that guide the stylization process. An AI assistant translates simple user requests into precise technical instructions, allowing creators to verify results before rendering.
Quotes
“Having Gemini in the mix made the decision easy. Google is ahead of the curve when it comes to AI models, and that edge shows in what we can deliver to our users.”