Scenario develops a platform that enables creators to train and deploy custom AI models for generating 3D assets, ensuring style consistency and rapid production of game content. This technology streamlines workflows by significantly reducing the time required for asset ideation and creation, allowing studios to efficiently produce high-quality visuals tailored to their specific artistic direction.
Funding
$17M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Creating high-quality 3D assets for games is a time-consuming process, often requiring significant manual effort to ensure style consistency across all visuals. Traditional methods can be slow and inflexible, hindering rapid iteration and efficient content production.
Solution
Scenario provides a platform for training and deploying custom AI models that generate 3D assets tailored to a studio's specific artistic direction. By training AI models on existing art, the platform enables the rapid creation of IP-accurate game content. The generated assets maintain style consistency, allowing studios to streamline workflows and significantly reduce the time required for asset ideation and creation. The platform offers tools to adjust outputs, create infinite variants, and integrate the AI engine into diverse workflows.
Target Audience
The primary target audience includes game development studios and creators looking to accelerate asset creation, maintain artistic consistency, and streamline their 3D content production pipelines.
Features
- Custom AI model training using studio-provided art assets
- Style-consistent 3D asset generation
- Composition Control for adjusting specific elements within generated assets
- Pixel-Perfect Inpainting for detailed refinement of outputs
- API for integration into game engines like Unity and other design software
- Options to deploy custom AI generators to internal teams or directly to players